nassersala commited on
Commit
216c05c
·
verified ·
1 Parent(s): 90285aa

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +131 -3
  2. adapter_config.json +34 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-102/README.md +202 -0
  5. checkpoint-102/adapter_config.json +34 -0
  6. checkpoint-102/adapter_model.safetensors +3 -0
  7. checkpoint-102/optimizer.pt +3 -0
  8. checkpoint-102/rng_state.pth +3 -0
  9. checkpoint-102/scheduler.pt +3 -0
  10. checkpoint-102/special_tokens_map.json +24 -0
  11. checkpoint-102/tokenizer.model +3 -0
  12. checkpoint-102/tokenizer_config.json +44 -0
  13. checkpoint-102/trainer_state.json +735 -0
  14. checkpoint-102/training_args.bin +3 -0
  15. checkpoint-153/README.md +202 -0
  16. checkpoint-153/adapter_config.json +34 -0
  17. checkpoint-153/adapter_model.safetensors +3 -0
  18. checkpoint-153/optimizer.pt +3 -0
  19. checkpoint-153/rng_state.pth +3 -0
  20. checkpoint-153/scheduler.pt +3 -0
  21. checkpoint-153/special_tokens_map.json +24 -0
  22. checkpoint-153/tokenizer.model +3 -0
  23. checkpoint-153/tokenizer_config.json +44 -0
  24. checkpoint-153/trainer_state.json +1092 -0
  25. checkpoint-153/training_args.bin +3 -0
  26. checkpoint-204/README.md +202 -0
  27. checkpoint-204/adapter_config.json +34 -0
  28. checkpoint-204/adapter_model.safetensors +3 -0
  29. checkpoint-204/optimizer.pt +3 -0
  30. checkpoint-204/rng_state.pth +3 -0
  31. checkpoint-204/scheduler.pt +3 -0
  32. checkpoint-204/special_tokens_map.json +24 -0
  33. checkpoint-204/tokenizer.model +3 -0
  34. checkpoint-204/tokenizer_config.json +44 -0
  35. checkpoint-204/trainer_state.json +1449 -0
  36. checkpoint-204/training_args.bin +3 -0
  37. checkpoint-51/README.md +202 -0
  38. checkpoint-51/adapter_config.json +34 -0
  39. checkpoint-51/adapter_model.safetensors +3 -0
  40. checkpoint-51/optimizer.pt +3 -0
  41. checkpoint-51/rng_state.pth +3 -0
  42. checkpoint-51/scheduler.pt +3 -0
  43. checkpoint-51/special_tokens_map.json +24 -0
  44. checkpoint-51/tokenizer.model +3 -0
  45. checkpoint-51/tokenizer_config.json +44 -0
  46. checkpoint-51/trainer_state.json +378 -0
  47. checkpoint-51/training_args.bin +3 -0
  48. config.json +43 -0
  49. special_tokens_map.json +24 -0
  50. tokenizer.model +3 -0
README.md CHANGED
@@ -1,3 +1,131 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ library_name: peft
4
+ tags:
5
+ - generated_from_trainer
6
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
7
+ model-index:
8
+ - name: model-out
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
16
+ <details><summary>See axolotl config</summary>
17
+
18
+ axolotl version: `0.4.0`
19
+ ```yaml
20
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
21
+ model_type: LlamaForCausalLM
22
+ tokenizer_type: LlamaTokenizer
23
+
24
+ load_in_8bit: true
25
+ load_in_4bit: false
26
+ strict: false
27
+
28
+
29
+ datasets:
30
+ - path: burkelibbey/colors
31
+ type:
32
+ field_instruction: description
33
+ field_output: color
34
+
35
+ sequence_len: 4096
36
+ sample_packing: true
37
+ eval_sample_packing: false
38
+ pad_to_sequence_len: true
39
+
40
+ adapter: lora
41
+ lora_model_dir:
42
+ lora_r: 32
43
+ lora_alpha: 16
44
+ lora_dropout: 0.05
45
+ lora_target_linear: true
46
+ lora_fan_in_fan_out:
47
+
48
+ wandb_project:
49
+ wandb_entity:
50
+ wandb_watch:
51
+ wandb_name:
52
+ wandb_log_model:
53
+
54
+ gradient_accumulation_steps: 4
55
+ micro_batch_size: 2
56
+ num_epochs: 4
57
+ optimizer: adamw_bnb_8bit
58
+ lr_scheduler: cosine
59
+ learning_rate: 0.0002
60
+
61
+ train_on_inputs: false
62
+ group_by_length: false
63
+ bf16: auto
64
+ fp16:
65
+ tf32: false
66
+
67
+ gradient_checkpointing: true
68
+ early_stopping_patience:
69
+ resume_from_checkpoint:
70
+ local_rank:
71
+ logging_steps: 1
72
+ xformers_attention:
73
+ flash_attention: true
74
+
75
+ warmup_steps: 10
76
+ evals_per_epoch: 4
77
+ saves_per_epoch: 1
78
+ debug:
79
+ deepspeed:
80
+ weight_decay: 0.0
81
+ fsdp:
82
+ fsdp_config:
83
+ special_tokens:
84
+
85
+ ```
86
+
87
+ </details><br>
88
+
89
+ # model-out
90
+
91
+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
92
+
93
+ ## Model description
94
+
95
+ More information needed
96
+
97
+ ## Intended uses & limitations
98
+
99
+ More information needed
100
+
101
+ ## Training and evaluation data
102
+
103
+ More information needed
104
+
105
+ ## Training procedure
106
+
107
+ ### Training hyperparameters
108
+
109
+ The following hyperparameters were used during training:
110
+ - learning_rate: 0.0002
111
+ - train_batch_size: 2
112
+ - eval_batch_size: 2
113
+ - seed: 42
114
+ - gradient_accumulation_steps: 4
115
+ - total_train_batch_size: 8
116
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
117
+ - lr_scheduler_type: cosine
118
+ - lr_scheduler_warmup_steps: 10
119
+ - num_epochs: 4
120
+
121
+ ### Training results
122
+
123
+
124
+
125
+ ### Framework versions
126
+
127
+ - PEFT 0.10.0
128
+ - Transformers 4.40.2
129
+ - Pytorch 2.1.2+cu118
130
+ - Datasets 2.19.1
131
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "o_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7e889a3f7644aa3b914bbe531127edf581cc1bd99b2c07e3d796602006c9d8d
3
+ size 101036698
checkpoint-102/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.10.0
checkpoint-102/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "o_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-102/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:382f505f20d31935650d8df0ad4e60e4c9a2713eb79d93837be38c3dbcc235ba
3
+ size 100966336
checkpoint-102/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e01dea5290d76a186ee38e327a7f5f33bbd5a5676a7b20859149048adbb766f
3
+ size 50916644
checkpoint-102/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b08548b14479e5541cc6c8235da16935d98d5825ecaa016861c7dcef4b231b38
3
+ size 14244
checkpoint-102/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdd0147bd27d92932170ad679293259d413fe6b01771e520a26b92e8e8b343ce
3
+ size 1064
checkpoint-102/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-102/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-102/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false,
43
+ "use_fast": true
44
+ }
checkpoint-102/trainer_state.json ADDED
@@ -0,0 +1,735 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9563106796116505,
5
+ "eval_steps": 500,
6
+ "global_step": 102,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.019417475728155338,
13
+ "grad_norm": 6.841878890991211,
14
+ "learning_rate": 2e-05,
15
+ "loss": 4.5864,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.038834951456310676,
20
+ "grad_norm": 6.640402793884277,
21
+ "learning_rate": 4e-05,
22
+ "loss": 4.6138,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.05825242718446602,
27
+ "grad_norm": 6.41209077835083,
28
+ "learning_rate": 6e-05,
29
+ "loss": 4.6064,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.07766990291262135,
34
+ "grad_norm": 6.082383632659912,
35
+ "learning_rate": 8e-05,
36
+ "loss": 4.5534,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.0970873786407767,
41
+ "grad_norm": 4.00201416015625,
42
+ "learning_rate": 0.0001,
43
+ "loss": 4.3245,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.11650485436893204,
48
+ "grad_norm": 3.1707470417022705,
49
+ "learning_rate": 0.00012,
50
+ "loss": 4.0971,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.13592233009708737,
55
+ "grad_norm": 3.160670518875122,
56
+ "learning_rate": 0.00014,
57
+ "loss": 3.789,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.1553398058252427,
62
+ "grad_norm": 2.994746208190918,
63
+ "learning_rate": 0.00016,
64
+ "loss": 3.3244,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.17475728155339806,
69
+ "grad_norm": 2.6664786338806152,
70
+ "learning_rate": 0.00018,
71
+ "loss": 2.8561,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1941747572815534,
76
+ "grad_norm": 2.029910087585449,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.3926,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.21359223300970873,
83
+ "grad_norm": 1.3144137859344482,
84
+ "learning_rate": 0.00019998688836656323,
85
+ "loss": 2.0283,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.23300970873786409,
90
+ "grad_norm": 0.8263471722602844,
91
+ "learning_rate": 0.00019994755690455152,
92
+ "loss": 1.8683,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.2524271844660194,
97
+ "grad_norm": 0.7193414568901062,
98
+ "learning_rate": 0.0001998820159279591,
99
+ "loss": 1.732,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.27184466019417475,
104
+ "grad_norm": 0.8350910544395447,
105
+ "learning_rate": 0.00019979028262377118,
106
+ "loss": 1.6208,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.2912621359223301,
111
+ "grad_norm": 0.6700139045715332,
112
+ "learning_rate": 0.00019967238104745696,
113
+ "loss": 1.493,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.3106796116504854,
118
+ "grad_norm": 1.1213518381118774,
119
+ "learning_rate": 0.0001995283421166614,
120
+ "loss": 1.4857,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.3300970873786408,
125
+ "grad_norm": 0.7505896687507629,
126
+ "learning_rate": 0.00019935820360309777,
127
+ "loss": 1.4643,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.34951456310679613,
132
+ "grad_norm": 0.6984190940856934,
133
+ "learning_rate": 0.00019916201012264254,
134
+ "loss": 1.4227,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.36893203883495146,
139
+ "grad_norm": 0.46819525957107544,
140
+ "learning_rate": 0.00019893981312363562,
141
+ "loss": 1.3889,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.3883495145631068,
146
+ "grad_norm": 0.5214670300483704,
147
+ "learning_rate": 0.00019869167087338907,
148
+ "loss": 1.3764,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.4077669902912621,
153
+ "grad_norm": 0.43329402804374695,
154
+ "learning_rate": 0.00019841764844290744,
155
+ "loss": 1.351,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.42718446601941745,
160
+ "grad_norm": 0.6535053253173828,
161
+ "learning_rate": 0.0001981178176898239,
162
+ "loss": 1.3576,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.44660194174757284,
167
+ "grad_norm": 0.6363189816474915,
168
+ "learning_rate": 0.00019779225723955707,
169
+ "loss": 1.3159,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.46601941747572817,
174
+ "grad_norm": 0.42140620946884155,
175
+ "learning_rate": 0.00019744105246469263,
176
+ "loss": 1.3072,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.4854368932038835,
181
+ "grad_norm": 0.6757440567016602,
182
+ "learning_rate": 0.00019706429546259593,
183
+ "loss": 1.3261,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.5048543689320388,
188
+ "grad_norm": 0.4116632044315338,
189
+ "learning_rate": 0.00019666208503126112,
190
+ "loss": 1.317,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.5242718446601942,
195
+ "grad_norm": 0.5359898209571838,
196
+ "learning_rate": 0.00019623452664340306,
197
+ "loss": 1.2932,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.5436893203883495,
202
+ "grad_norm": 0.4596949517726898,
203
+ "learning_rate": 0.00019578173241879872,
204
+ "loss": 1.2601,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.5631067961165048,
209
+ "grad_norm": 0.6857442855834961,
210
+ "learning_rate": 0.0001953038210948861,
211
+ "loss": 1.2734,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.5825242718446602,
216
+ "grad_norm": 0.4453957676887512,
217
+ "learning_rate": 0.00019480091799562704,
218
+ "loss": 1.2521,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.6019417475728155,
223
+ "grad_norm": 0.6118847131729126,
224
+ "learning_rate": 0.00019427315499864344,
225
+ "loss": 1.2252,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.6213592233009708,
230
+ "grad_norm": 0.4894339442253113,
231
+ "learning_rate": 0.00019372067050063438,
232
+ "loss": 1.2369,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.6407766990291263,
237
+ "grad_norm": 0.5901785492897034,
238
+ "learning_rate": 0.00019314360938108425,
239
+ "loss": 1.2507,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.6601941747572816,
244
+ "grad_norm": 0.4147897958755493,
245
+ "learning_rate": 0.00019254212296427044,
246
+ "loss": 1.2454,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.6796116504854369,
251
+ "grad_norm": 0.2836126685142517,
252
+ "learning_rate": 0.00019191636897958122,
253
+ "loss": 1.2515,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.6990291262135923,
258
+ "grad_norm": 0.4523944556713104,
259
+ "learning_rate": 0.00019126651152015403,
260
+ "loss": 1.2217,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.7184466019417476,
265
+ "grad_norm": 0.4187013804912567,
266
+ "learning_rate": 0.0001905927209998447,
267
+ "loss": 1.2382,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.7378640776699029,
272
+ "grad_norm": 0.516381561756134,
273
+ "learning_rate": 0.00018989517410853955,
274
+ "loss": 1.2214,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.7572815533980582,
279
+ "grad_norm": 0.5928078889846802,
280
+ "learning_rate": 0.00018917405376582145,
281
+ "loss": 1.2407,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.7766990291262136,
286
+ "grad_norm": 0.4062119722366333,
287
+ "learning_rate": 0.00018842954907300236,
288
+ "loss": 1.1958,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.7961165048543689,
293
+ "grad_norm": 0.5966278910636902,
294
+ "learning_rate": 0.0001876618552635348,
295
+ "loss": 1.2043,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.8155339805825242,
300
+ "grad_norm": 0.47196483612060547,
301
+ "learning_rate": 0.00018687117365181512,
302
+ "loss": 1.2321,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.8349514563106796,
307
+ "grad_norm": 0.6465126872062683,
308
+ "learning_rate": 0.00018605771158039253,
309
+ "loss": 1.1996,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.8543689320388349,
314
+ "grad_norm": 0.4234643578529358,
315
+ "learning_rate": 0.00018522168236559695,
316
+ "loss": 1.198,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.8737864077669902,
321
+ "grad_norm": 0.3910824656486511,
322
+ "learning_rate": 0.00018436330524160047,
323
+ "loss": 1.1895,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.8932038834951457,
328
+ "grad_norm": 0.5380635261535645,
329
+ "learning_rate": 0.00018348280530292713,
330
+ "loss": 1.1693,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.912621359223301,
335
+ "grad_norm": 0.31823453307151794,
336
+ "learning_rate": 0.00018258041344542566,
337
+ "loss": 1.159,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.9320388349514563,
342
+ "grad_norm": 0.5679419636726379,
343
+ "learning_rate": 0.0001816563663057211,
344
+ "loss": 1.1931,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.9514563106796117,
349
+ "grad_norm": 0.3980861008167267,
350
+ "learning_rate": 0.00018071090619916093,
351
+ "loss": 1.1826,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.970873786407767,
356
+ "grad_norm": 0.3688671588897705,
357
+ "learning_rate": 0.00017974428105627208,
358
+ "loss": 1.176,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.9902912621359223,
363
+ "grad_norm": 0.4137047827243805,
364
+ "learning_rate": 0.00017875674435774547,
365
+ "loss": 1.142,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 1.0097087378640777,
370
+ "grad_norm": 0.3141655921936035,
371
+ "learning_rate": 0.00017774855506796496,
372
+ "loss": 1.1614,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.0048543689320388,
377
+ "grad_norm": 0.3113202154636383,
378
+ "learning_rate": 0.00017671997756709863,
379
+ "loss": 1.1668,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.0242718446601942,
384
+ "grad_norm": 0.5369274616241455,
385
+ "learning_rate": 0.00017567128158176953,
386
+ "loss": 1.1157,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.0436893203883495,
391
+ "grad_norm": 0.550740122795105,
392
+ "learning_rate": 0.0001746027421143246,
393
+ "loss": 1.1674,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.0631067961165048,
398
+ "grad_norm": 0.4507598578929901,
399
+ "learning_rate": 0.00017351463937072004,
400
+ "loss": 1.1484,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.0825242718446602,
405
+ "grad_norm": 0.5626426935195923,
406
+ "learning_rate": 0.00017240725868704218,
407
+ "loss": 1.1614,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.1019417475728155,
412
+ "grad_norm": 0.36562928557395935,
413
+ "learning_rate": 0.00017128089045468294,
414
+ "loss": 1.1246,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.1213592233009708,
419
+ "grad_norm": 0.6106365323066711,
420
+ "learning_rate": 0.00017013583004418993,
421
+ "loss": 1.141,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.1407766990291262,
426
+ "grad_norm": 0.3751409947872162,
427
+ "learning_rate": 0.00016897237772781044,
428
+ "loss": 1.1565,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.1601941747572815,
433
+ "grad_norm": 0.5318562984466553,
434
+ "learning_rate": 0.00016779083860075033,
435
+ "loss": 1.1501,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.1796116504854368,
440
+ "grad_norm": 0.3675023317337036,
441
+ "learning_rate": 0.00016659152250116812,
442
+ "loss": 1.1162,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.1990291262135921,
447
+ "grad_norm": 0.38894137740135193,
448
+ "learning_rate": 0.00016537474392892528,
449
+ "loss": 1.146,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 1.2184466019417475,
454
+ "grad_norm": 0.3107282817363739,
455
+ "learning_rate": 0.000164140821963114,
456
+ "loss": 1.135,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 1.237864077669903,
461
+ "grad_norm": 0.2496870756149292,
462
+ "learning_rate": 0.00016289008017838445,
463
+ "loss": 1.133,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 1.2572815533980584,
468
+ "grad_norm": 0.35233214497566223,
469
+ "learning_rate": 0.00016162284656009274,
470
+ "loss": 1.1446,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 1.2766990291262137,
475
+ "grad_norm": 0.33078905940055847,
476
+ "learning_rate": 0.00016033945341829248,
477
+ "loss": 1.1077,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 1.296116504854369,
482
+ "grad_norm": 0.24236944317817688,
483
+ "learning_rate": 0.00015904023730059228,
484
+ "loss": 1.1367,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 1.3155339805825244,
489
+ "grad_norm": 0.3248869776725769,
490
+ "learning_rate": 0.00015772553890390197,
491
+ "loss": 1.1405,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 1.3349514563106797,
496
+ "grad_norm": 0.3145497739315033,
497
+ "learning_rate": 0.00015639570298509064,
498
+ "loss": 1.1134,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 1.354368932038835,
503
+ "grad_norm": 0.3858337700366974,
504
+ "learning_rate": 0.00015505107827058036,
505
+ "loss": 1.1293,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 1.3737864077669903,
510
+ "grad_norm": 0.3683490753173828,
511
+ "learning_rate": 0.0001536920173648984,
512
+ "loss": 1.1069,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 1.3932038834951457,
517
+ "grad_norm": 0.5532976388931274,
518
+ "learning_rate": 0.000152318876658213,
519
+ "loss": 1.1432,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 1.412621359223301,
524
+ "grad_norm": 0.3198872208595276,
525
+ "learning_rate": 0.00015093201623287631,
526
+ "loss": 1.1423,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 1.4320388349514563,
531
+ "grad_norm": 0.7470155954360962,
532
+ "learning_rate": 0.00014953179976899878,
533
+ "loss": 1.1475,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 1.4514563106796117,
538
+ "grad_norm": 0.4092984199523926,
539
+ "learning_rate": 0.00014811859444908052,
540
+ "loss": 1.0955,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 1.470873786407767,
545
+ "grad_norm": 0.6536680459976196,
546
+ "learning_rate": 0.00014669277086172406,
547
+ "loss": 1.1359,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 1.4902912621359223,
552
+ "grad_norm": 0.35692015290260315,
553
+ "learning_rate": 0.00014525470290445392,
554
+ "loss": 1.1131,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 1.5097087378640777,
559
+ "grad_norm": 0.46786415576934814,
560
+ "learning_rate": 0.00014380476768566824,
561
+ "loss": 1.1133,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 1.529126213592233,
566
+ "grad_norm": 0.6847173571586609,
567
+ "learning_rate": 0.00014234334542574906,
568
+ "loss": 1.125,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 1.5485436893203883,
573
+ "grad_norm": 0.5090566277503967,
574
+ "learning_rate": 0.00014087081935735564,
575
+ "loss": 1.1562,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 1.5679611650485437,
580
+ "grad_norm": 0.7293880581855774,
581
+ "learning_rate": 0.00013938757562492873,
582
+ "loss": 1.1348,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 1.587378640776699,
587
+ "grad_norm": 0.3536413908004761,
588
+ "learning_rate": 0.00013789400318343068,
589
+ "loss": 1.1134,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 1.6067961165048543,
594
+ "grad_norm": 0.802762508392334,
595
+ "learning_rate": 0.00013639049369634876,
596
+ "loss": 1.1256,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 1.6262135922330097,
601
+ "grad_norm": 0.27904102206230164,
602
+ "learning_rate": 0.00013487744143298822,
603
+ "loss": 1.1367,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.645631067961165,
608
+ "grad_norm": 0.6024283170700073,
609
+ "learning_rate": 0.00013335524316508208,
610
+ "loss": 1.1174,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.6650485436893203,
615
+ "grad_norm": 0.5118915438652039,
616
+ "learning_rate": 0.0001318242980627444,
617
+ "loss": 1.0848,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.6844660194174756,
622
+ "grad_norm": 0.3924892544746399,
623
+ "learning_rate": 0.00013028500758979506,
624
+ "loss": 1.1114,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.703883495145631,
629
+ "grad_norm": 0.4876178801059723,
630
+ "learning_rate": 0.00012873777539848283,
631
+ "loss": 1.1303,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.7233009708737863,
636
+ "grad_norm": 0.4133356809616089,
637
+ "learning_rate": 0.0001271830072236343,
638
+ "loss": 1.0894,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.7427184466019416,
643
+ "grad_norm": 0.42908573150634766,
644
+ "learning_rate": 0.00012562111077625722,
645
+ "loss": 1.0806,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.762135922330097,
650
+ "grad_norm": 0.5923053026199341,
651
+ "learning_rate": 0.00012405249563662537,
652
+ "loss": 1.1254,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.7815533980582523,
657
+ "grad_norm": 0.34368380904197693,
658
+ "learning_rate": 0.00012247757314687297,
659
+ "loss": 1.1251,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.8009708737864076,
664
+ "grad_norm": 0.6336709856987,
665
+ "learning_rate": 0.00012089675630312754,
666
+ "loss": 1.1042,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.820388349514563,
671
+ "grad_norm": 0.32966285943984985,
672
+ "learning_rate": 0.00011931045964720881,
673
+ "loss": 1.09,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.8398058252427183,
678
+ "grad_norm": 0.42973244190216064,
679
+ "learning_rate": 0.0001177190991579223,
680
+ "loss": 1.0896,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.8592233009708736,
685
+ "grad_norm": 0.5365500450134277,
686
+ "learning_rate": 0.00011612309214197599,
687
+ "loss": 1.1281,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.8786407766990292,
692
+ "grad_norm": 0.4330235421657562,
693
+ "learning_rate": 0.00011452285712454904,
694
+ "loss": 1.087,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.8980582524271845,
699
+ "grad_norm": 0.47839391231536865,
700
+ "learning_rate": 0.00011291881373954065,
701
+ "loss": 1.0967,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.9174757281553398,
706
+ "grad_norm": 0.27464163303375244,
707
+ "learning_rate": 0.00011131138261952845,
708
+ "loss": 1.0981,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.9368932038834952,
713
+ "grad_norm": 0.41849982738494873,
714
+ "learning_rate": 0.00010970098528546481,
715
+ "loss": 1.1203,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.9563106796116505,
720
+ "grad_norm": 0.4630599915981293,
721
+ "learning_rate": 0.00010808804403614043,
722
+ "loss": 1.1224,
723
+ "step": 102
724
+ }
725
+ ],
726
+ "logging_steps": 1,
727
+ "max_steps": 204,
728
+ "num_input_tokens_seen": 0,
729
+ "num_train_epochs": 4,
730
+ "save_steps": 51,
731
+ "total_flos": 2.122607373582336e+16,
732
+ "train_batch_size": 2,
733
+ "trial_name": null,
734
+ "trial_params": null
735
+ }
checkpoint-102/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
3
+ size 5816
checkpoint-153/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.10.0
checkpoint-153/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "o_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-153/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a07be8a05be42cce036105a2b492dae703c7a69ba8d214593fed8c7aaedf0fa5
3
+ size 100966336
checkpoint-153/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd3300246cdafeb2074b14614dbcf76ef6fa7d4bca7229c5e6bbab13ca482a11
3
+ size 50916644
checkpoint-153/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99db079f9484366e7651458e563afb4133c5ec0c2ec99c01fa732d07831dd752
3
+ size 14244
checkpoint-153/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45550cb7e4860b08baa6921121c8c015f08db1f00c8dfffd452c24d43c24a0fc
3
+ size 1064
checkpoint-153/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-153/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-153/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false,
43
+ "use_fast": true
44
+ }
checkpoint-153/trainer_state.json ADDED
@@ -0,0 +1,1092 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9223300970873787,
5
+ "eval_steps": 500,
6
+ "global_step": 153,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.019417475728155338,
13
+ "grad_norm": 6.841878890991211,
14
+ "learning_rate": 2e-05,
15
+ "loss": 4.5864,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.038834951456310676,
20
+ "grad_norm": 6.640402793884277,
21
+ "learning_rate": 4e-05,
22
+ "loss": 4.6138,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.05825242718446602,
27
+ "grad_norm": 6.41209077835083,
28
+ "learning_rate": 6e-05,
29
+ "loss": 4.6064,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.07766990291262135,
34
+ "grad_norm": 6.082383632659912,
35
+ "learning_rate": 8e-05,
36
+ "loss": 4.5534,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.0970873786407767,
41
+ "grad_norm": 4.00201416015625,
42
+ "learning_rate": 0.0001,
43
+ "loss": 4.3245,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.11650485436893204,
48
+ "grad_norm": 3.1707470417022705,
49
+ "learning_rate": 0.00012,
50
+ "loss": 4.0971,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.13592233009708737,
55
+ "grad_norm": 3.160670518875122,
56
+ "learning_rate": 0.00014,
57
+ "loss": 3.789,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.1553398058252427,
62
+ "grad_norm": 2.994746208190918,
63
+ "learning_rate": 0.00016,
64
+ "loss": 3.3244,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.17475728155339806,
69
+ "grad_norm": 2.6664786338806152,
70
+ "learning_rate": 0.00018,
71
+ "loss": 2.8561,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1941747572815534,
76
+ "grad_norm": 2.029910087585449,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.3926,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.21359223300970873,
83
+ "grad_norm": 1.3144137859344482,
84
+ "learning_rate": 0.00019998688836656323,
85
+ "loss": 2.0283,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.23300970873786409,
90
+ "grad_norm": 0.8263471722602844,
91
+ "learning_rate": 0.00019994755690455152,
92
+ "loss": 1.8683,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.2524271844660194,
97
+ "grad_norm": 0.7193414568901062,
98
+ "learning_rate": 0.0001998820159279591,
99
+ "loss": 1.732,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.27184466019417475,
104
+ "grad_norm": 0.8350910544395447,
105
+ "learning_rate": 0.00019979028262377118,
106
+ "loss": 1.6208,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.2912621359223301,
111
+ "grad_norm": 0.6700139045715332,
112
+ "learning_rate": 0.00019967238104745696,
113
+ "loss": 1.493,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.3106796116504854,
118
+ "grad_norm": 1.1213518381118774,
119
+ "learning_rate": 0.0001995283421166614,
120
+ "loss": 1.4857,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.3300970873786408,
125
+ "grad_norm": 0.7505896687507629,
126
+ "learning_rate": 0.00019935820360309777,
127
+ "loss": 1.4643,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.34951456310679613,
132
+ "grad_norm": 0.6984190940856934,
133
+ "learning_rate": 0.00019916201012264254,
134
+ "loss": 1.4227,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.36893203883495146,
139
+ "grad_norm": 0.46819525957107544,
140
+ "learning_rate": 0.00019893981312363562,
141
+ "loss": 1.3889,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.3883495145631068,
146
+ "grad_norm": 0.5214670300483704,
147
+ "learning_rate": 0.00019869167087338907,
148
+ "loss": 1.3764,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.4077669902912621,
153
+ "grad_norm": 0.43329402804374695,
154
+ "learning_rate": 0.00019841764844290744,
155
+ "loss": 1.351,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.42718446601941745,
160
+ "grad_norm": 0.6535053253173828,
161
+ "learning_rate": 0.0001981178176898239,
162
+ "loss": 1.3576,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.44660194174757284,
167
+ "grad_norm": 0.6363189816474915,
168
+ "learning_rate": 0.00019779225723955707,
169
+ "loss": 1.3159,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.46601941747572817,
174
+ "grad_norm": 0.42140620946884155,
175
+ "learning_rate": 0.00019744105246469263,
176
+ "loss": 1.3072,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.4854368932038835,
181
+ "grad_norm": 0.6757440567016602,
182
+ "learning_rate": 0.00019706429546259593,
183
+ "loss": 1.3261,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.5048543689320388,
188
+ "grad_norm": 0.4116632044315338,
189
+ "learning_rate": 0.00019666208503126112,
190
+ "loss": 1.317,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.5242718446601942,
195
+ "grad_norm": 0.5359898209571838,
196
+ "learning_rate": 0.00019623452664340306,
197
+ "loss": 1.2932,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.5436893203883495,
202
+ "grad_norm": 0.4596949517726898,
203
+ "learning_rate": 0.00019578173241879872,
204
+ "loss": 1.2601,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.5631067961165048,
209
+ "grad_norm": 0.6857442855834961,
210
+ "learning_rate": 0.0001953038210948861,
211
+ "loss": 1.2734,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.5825242718446602,
216
+ "grad_norm": 0.4453957676887512,
217
+ "learning_rate": 0.00019480091799562704,
218
+ "loss": 1.2521,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.6019417475728155,
223
+ "grad_norm": 0.6118847131729126,
224
+ "learning_rate": 0.00019427315499864344,
225
+ "loss": 1.2252,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.6213592233009708,
230
+ "grad_norm": 0.4894339442253113,
231
+ "learning_rate": 0.00019372067050063438,
232
+ "loss": 1.2369,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.6407766990291263,
237
+ "grad_norm": 0.5901785492897034,
238
+ "learning_rate": 0.00019314360938108425,
239
+ "loss": 1.2507,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.6601941747572816,
244
+ "grad_norm": 0.4147897958755493,
245
+ "learning_rate": 0.00019254212296427044,
246
+ "loss": 1.2454,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.6796116504854369,
251
+ "grad_norm": 0.2836126685142517,
252
+ "learning_rate": 0.00019191636897958122,
253
+ "loss": 1.2515,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.6990291262135923,
258
+ "grad_norm": 0.4523944556713104,
259
+ "learning_rate": 0.00019126651152015403,
260
+ "loss": 1.2217,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.7184466019417476,
265
+ "grad_norm": 0.4187013804912567,
266
+ "learning_rate": 0.0001905927209998447,
267
+ "loss": 1.2382,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.7378640776699029,
272
+ "grad_norm": 0.516381561756134,
273
+ "learning_rate": 0.00018989517410853955,
274
+ "loss": 1.2214,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.7572815533980582,
279
+ "grad_norm": 0.5928078889846802,
280
+ "learning_rate": 0.00018917405376582145,
281
+ "loss": 1.2407,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.7766990291262136,
286
+ "grad_norm": 0.4062119722366333,
287
+ "learning_rate": 0.00018842954907300236,
288
+ "loss": 1.1958,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.7961165048543689,
293
+ "grad_norm": 0.5966278910636902,
294
+ "learning_rate": 0.0001876618552635348,
295
+ "loss": 1.2043,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.8155339805825242,
300
+ "grad_norm": 0.47196483612060547,
301
+ "learning_rate": 0.00018687117365181512,
302
+ "loss": 1.2321,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.8349514563106796,
307
+ "grad_norm": 0.6465126872062683,
308
+ "learning_rate": 0.00018605771158039253,
309
+ "loss": 1.1996,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.8543689320388349,
314
+ "grad_norm": 0.4234643578529358,
315
+ "learning_rate": 0.00018522168236559695,
316
+ "loss": 1.198,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.8737864077669902,
321
+ "grad_norm": 0.3910824656486511,
322
+ "learning_rate": 0.00018436330524160047,
323
+ "loss": 1.1895,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.8932038834951457,
328
+ "grad_norm": 0.5380635261535645,
329
+ "learning_rate": 0.00018348280530292713,
330
+ "loss": 1.1693,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.912621359223301,
335
+ "grad_norm": 0.31823453307151794,
336
+ "learning_rate": 0.00018258041344542566,
337
+ "loss": 1.159,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.9320388349514563,
342
+ "grad_norm": 0.5679419636726379,
343
+ "learning_rate": 0.0001816563663057211,
344
+ "loss": 1.1931,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.9514563106796117,
349
+ "grad_norm": 0.3980861008167267,
350
+ "learning_rate": 0.00018071090619916093,
351
+ "loss": 1.1826,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.970873786407767,
356
+ "grad_norm": 0.3688671588897705,
357
+ "learning_rate": 0.00017974428105627208,
358
+ "loss": 1.176,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.9902912621359223,
363
+ "grad_norm": 0.4137047827243805,
364
+ "learning_rate": 0.00017875674435774547,
365
+ "loss": 1.142,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 1.0097087378640777,
370
+ "grad_norm": 0.3141655921936035,
371
+ "learning_rate": 0.00017774855506796496,
372
+ "loss": 1.1614,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.0048543689320388,
377
+ "grad_norm": 0.3113202154636383,
378
+ "learning_rate": 0.00017671997756709863,
379
+ "loss": 1.1668,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.0242718446601942,
384
+ "grad_norm": 0.5369274616241455,
385
+ "learning_rate": 0.00017567128158176953,
386
+ "loss": 1.1157,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.0436893203883495,
391
+ "grad_norm": 0.550740122795105,
392
+ "learning_rate": 0.0001746027421143246,
393
+ "loss": 1.1674,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.0631067961165048,
398
+ "grad_norm": 0.4507598578929901,
399
+ "learning_rate": 0.00017351463937072004,
400
+ "loss": 1.1484,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.0825242718446602,
405
+ "grad_norm": 0.5626426935195923,
406
+ "learning_rate": 0.00017240725868704218,
407
+ "loss": 1.1614,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.1019417475728155,
412
+ "grad_norm": 0.36562928557395935,
413
+ "learning_rate": 0.00017128089045468294,
414
+ "loss": 1.1246,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.1213592233009708,
419
+ "grad_norm": 0.6106365323066711,
420
+ "learning_rate": 0.00017013583004418993,
421
+ "loss": 1.141,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.1407766990291262,
426
+ "grad_norm": 0.3751409947872162,
427
+ "learning_rate": 0.00016897237772781044,
428
+ "loss": 1.1565,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.1601941747572815,
433
+ "grad_norm": 0.5318562984466553,
434
+ "learning_rate": 0.00016779083860075033,
435
+ "loss": 1.1501,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.1796116504854368,
440
+ "grad_norm": 0.3675023317337036,
441
+ "learning_rate": 0.00016659152250116812,
442
+ "loss": 1.1162,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.1990291262135921,
447
+ "grad_norm": 0.38894137740135193,
448
+ "learning_rate": 0.00016537474392892528,
449
+ "loss": 1.146,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 1.2184466019417475,
454
+ "grad_norm": 0.3107282817363739,
455
+ "learning_rate": 0.000164140821963114,
456
+ "loss": 1.135,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 1.237864077669903,
461
+ "grad_norm": 0.2496870756149292,
462
+ "learning_rate": 0.00016289008017838445,
463
+ "loss": 1.133,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 1.2572815533980584,
468
+ "grad_norm": 0.35233214497566223,
469
+ "learning_rate": 0.00016162284656009274,
470
+ "loss": 1.1446,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 1.2766990291262137,
475
+ "grad_norm": 0.33078905940055847,
476
+ "learning_rate": 0.00016033945341829248,
477
+ "loss": 1.1077,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 1.296116504854369,
482
+ "grad_norm": 0.24236944317817688,
483
+ "learning_rate": 0.00015904023730059228,
484
+ "loss": 1.1367,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 1.3155339805825244,
489
+ "grad_norm": 0.3248869776725769,
490
+ "learning_rate": 0.00015772553890390197,
491
+ "loss": 1.1405,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 1.3349514563106797,
496
+ "grad_norm": 0.3145497739315033,
497
+ "learning_rate": 0.00015639570298509064,
498
+ "loss": 1.1134,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 1.354368932038835,
503
+ "grad_norm": 0.3858337700366974,
504
+ "learning_rate": 0.00015505107827058036,
505
+ "loss": 1.1293,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 1.3737864077669903,
510
+ "grad_norm": 0.3683490753173828,
511
+ "learning_rate": 0.0001536920173648984,
512
+ "loss": 1.1069,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 1.3932038834951457,
517
+ "grad_norm": 0.5532976388931274,
518
+ "learning_rate": 0.000152318876658213,
519
+ "loss": 1.1432,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 1.412621359223301,
524
+ "grad_norm": 0.3198872208595276,
525
+ "learning_rate": 0.00015093201623287631,
526
+ "loss": 1.1423,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 1.4320388349514563,
531
+ "grad_norm": 0.7470155954360962,
532
+ "learning_rate": 0.00014953179976899878,
533
+ "loss": 1.1475,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 1.4514563106796117,
538
+ "grad_norm": 0.4092984199523926,
539
+ "learning_rate": 0.00014811859444908052,
540
+ "loss": 1.0955,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 1.470873786407767,
545
+ "grad_norm": 0.6536680459976196,
546
+ "learning_rate": 0.00014669277086172406,
547
+ "loss": 1.1359,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 1.4902912621359223,
552
+ "grad_norm": 0.35692015290260315,
553
+ "learning_rate": 0.00014525470290445392,
554
+ "loss": 1.1131,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 1.5097087378640777,
559
+ "grad_norm": 0.46786415576934814,
560
+ "learning_rate": 0.00014380476768566824,
561
+ "loss": 1.1133,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 1.529126213592233,
566
+ "grad_norm": 0.6847173571586609,
567
+ "learning_rate": 0.00014234334542574906,
568
+ "loss": 1.125,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 1.5485436893203883,
573
+ "grad_norm": 0.5090566277503967,
574
+ "learning_rate": 0.00014087081935735564,
575
+ "loss": 1.1562,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 1.5679611650485437,
580
+ "grad_norm": 0.7293880581855774,
581
+ "learning_rate": 0.00013938757562492873,
582
+ "loss": 1.1348,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 1.587378640776699,
587
+ "grad_norm": 0.3536413908004761,
588
+ "learning_rate": 0.00013789400318343068,
589
+ "loss": 1.1134,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 1.6067961165048543,
594
+ "grad_norm": 0.802762508392334,
595
+ "learning_rate": 0.00013639049369634876,
596
+ "loss": 1.1256,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 1.6262135922330097,
601
+ "grad_norm": 0.27904102206230164,
602
+ "learning_rate": 0.00013487744143298822,
603
+ "loss": 1.1367,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.645631067961165,
608
+ "grad_norm": 0.6024283170700073,
609
+ "learning_rate": 0.00013335524316508208,
610
+ "loss": 1.1174,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.6650485436893203,
615
+ "grad_norm": 0.5118915438652039,
616
+ "learning_rate": 0.0001318242980627444,
617
+ "loss": 1.0848,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.6844660194174756,
622
+ "grad_norm": 0.3924892544746399,
623
+ "learning_rate": 0.00013028500758979506,
624
+ "loss": 1.1114,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.703883495145631,
629
+ "grad_norm": 0.4876178801059723,
630
+ "learning_rate": 0.00012873777539848283,
631
+ "loss": 1.1303,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.7233009708737863,
636
+ "grad_norm": 0.4133356809616089,
637
+ "learning_rate": 0.0001271830072236343,
638
+ "loss": 1.0894,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.7427184466019416,
643
+ "grad_norm": 0.42908573150634766,
644
+ "learning_rate": 0.00012562111077625722,
645
+ "loss": 1.0806,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.762135922330097,
650
+ "grad_norm": 0.5923053026199341,
651
+ "learning_rate": 0.00012405249563662537,
652
+ "loss": 1.1254,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.7815533980582523,
657
+ "grad_norm": 0.34368380904197693,
658
+ "learning_rate": 0.00012247757314687297,
659
+ "loss": 1.1251,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.8009708737864076,
664
+ "grad_norm": 0.6336709856987,
665
+ "learning_rate": 0.00012089675630312754,
666
+ "loss": 1.1042,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.820388349514563,
671
+ "grad_norm": 0.32966285943984985,
672
+ "learning_rate": 0.00011931045964720881,
673
+ "loss": 1.09,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.8398058252427183,
678
+ "grad_norm": 0.42973244190216064,
679
+ "learning_rate": 0.0001177190991579223,
680
+ "loss": 1.0896,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.8592233009708736,
685
+ "grad_norm": 0.5365500450134277,
686
+ "learning_rate": 0.00011612309214197599,
687
+ "loss": 1.1281,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.8786407766990292,
692
+ "grad_norm": 0.4330235421657562,
693
+ "learning_rate": 0.00011452285712454904,
694
+ "loss": 1.087,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.8980582524271845,
699
+ "grad_norm": 0.47839391231536865,
700
+ "learning_rate": 0.00011291881373954065,
701
+ "loss": 1.0967,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.9174757281553398,
706
+ "grad_norm": 0.27464163303375244,
707
+ "learning_rate": 0.00011131138261952845,
708
+ "loss": 1.0981,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.9368932038834952,
713
+ "grad_norm": 0.41849982738494873,
714
+ "learning_rate": 0.00010970098528546481,
715
+ "loss": 1.1203,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.9563106796116505,
720
+ "grad_norm": 0.4630599915981293,
721
+ "learning_rate": 0.00010808804403614043,
722
+ "loss": 1.1224,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.9757281553398058,
727
+ "grad_norm": 0.34116509556770325,
728
+ "learning_rate": 0.00010647298183744359,
729
+ "loss": 1.0871,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.9951456310679612,
734
+ "grad_norm": 0.4391232430934906,
735
+ "learning_rate": 0.00010485622221144484,
736
+ "loss": 1.1331,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 2.0145631067961167,
741
+ "grad_norm": 0.4344836175441742,
742
+ "learning_rate": 0.00010323818912533561,
743
+ "loss": 1.0874,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 2.0097087378640777,
748
+ "grad_norm": 0.42520374059677124,
749
+ "learning_rate": 0.00010161930688025017,
750
+ "loss": 1.1068,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 2.029126213592233,
755
+ "grad_norm": 0.3572416305541992,
756
+ "learning_rate": 0.0001,
757
+ "loss": 1.1001,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 2.0485436893203883,
762
+ "grad_norm": 0.38590529561042786,
763
+ "learning_rate": 9.838069311974986e-05,
764
+ "loss": 1.0833,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 2.0679611650485437,
769
+ "grad_norm": 0.2969411313533783,
770
+ "learning_rate": 9.676181087466444e-05,
771
+ "loss": 1.0939,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 2.087378640776699,
776
+ "grad_norm": 0.25997498631477356,
777
+ "learning_rate": 9.514377778855521e-05,
778
+ "loss": 1.1063,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 2.1067961165048543,
783
+ "grad_norm": 0.3671320676803589,
784
+ "learning_rate": 9.352701816255643e-05,
785
+ "loss": 1.103,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 2.1262135922330097,
790
+ "grad_norm": 0.552992582321167,
791
+ "learning_rate": 9.19119559638596e-05,
792
+ "loss": 1.0874,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 2.145631067961165,
797
+ "grad_norm": 0.25193411111831665,
798
+ "learning_rate": 9.02990147145352e-05,
799
+ "loss": 1.0946,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 2.1650485436893203,
804
+ "grad_norm": 0.33370667695999146,
805
+ "learning_rate": 8.868861738047158e-05,
806
+ "loss": 1.1108,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 2.1844660194174756,
811
+ "grad_norm": 0.42085111141204834,
812
+ "learning_rate": 8.70811862604594e-05,
813
+ "loss": 1.0883,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 2.203883495145631,
818
+ "grad_norm": 0.40206724405288696,
819
+ "learning_rate": 8.5477142875451e-05,
820
+ "loss": 1.1006,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 2.2233009708737863,
825
+ "grad_norm": 0.3052491247653961,
826
+ "learning_rate": 8.387690785802402e-05,
827
+ "loss": 1.1155,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 2.2427184466019416,
832
+ "grad_norm": 0.42322033643722534,
833
+ "learning_rate": 8.228090084207774e-05,
834
+ "loss": 1.0929,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 2.262135922330097,
839
+ "grad_norm": 0.5083087682723999,
840
+ "learning_rate": 8.068954035279121e-05,
841
+ "loss": 1.122,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 2.2815533980582523,
846
+ "grad_norm": 0.2693060636520386,
847
+ "learning_rate": 7.91032436968725e-05,
848
+ "loss": 1.0837,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 2.3009708737864076,
853
+ "grad_norm": 0.34834596514701843,
854
+ "learning_rate": 7.75224268531271e-05,
855
+ "loss": 1.0768,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 2.320388349514563,
860
+ "grad_norm": 0.3885416090488434,
861
+ "learning_rate": 7.594750436337467e-05,
862
+ "loss": 1.0616,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 2.3398058252427183,
867
+ "grad_norm": 0.3093293011188507,
868
+ "learning_rate": 7.437888922374276e-05,
869
+ "loss": 1.0799,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 2.3592233009708736,
874
+ "grad_norm": 0.4098259210586548,
875
+ "learning_rate": 7.281699277636572e-05,
876
+ "loss": 1.1184,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 2.378640776699029,
881
+ "grad_norm": 0.29187697172164917,
882
+ "learning_rate": 7.126222460151719e-05,
883
+ "loss": 1.0883,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 2.3980582524271843,
888
+ "grad_norm": 0.3151191174983978,
889
+ "learning_rate": 6.971499241020495e-05,
890
+ "loss": 1.0692,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 2.4174757281553396,
895
+ "grad_norm": 0.3117734491825104,
896
+ "learning_rate": 6.817570193725564e-05,
897
+ "loss": 1.0926,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 2.436893203883495,
902
+ "grad_norm": 0.25921401381492615,
903
+ "learning_rate": 6.664475683491796e-05,
904
+ "loss": 1.0707,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 2.4563106796116507,
909
+ "grad_norm": 0.31505605578422546,
910
+ "learning_rate": 6.512255856701177e-05,
911
+ "loss": 1.0988,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 2.475728155339806,
916
+ "grad_norm": 0.25132912397384644,
917
+ "learning_rate": 6.360950630365126e-05,
918
+ "loss": 1.0726,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 2.4951456310679614,
923
+ "grad_norm": 0.2596098780632019,
924
+ "learning_rate": 6.210599681656933e-05,
925
+ "loss": 1.1138,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 2.5145631067961167,
930
+ "grad_norm": 0.24262911081314087,
931
+ "learning_rate": 6.061242437507131e-05,
932
+ "loss": 1.0759,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 2.533980582524272,
937
+ "grad_norm": 0.29739508032798767,
938
+ "learning_rate": 5.9129180642644414e-05,
939
+ "loss": 1.082,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 2.5533980582524274,
944
+ "grad_norm": 0.32182446122169495,
945
+ "learning_rate": 5.765665457425102e-05,
946
+ "loss": 1.0698,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 2.5728155339805827,
951
+ "grad_norm": 0.3175111711025238,
952
+ "learning_rate": 5.6195232314331766e-05,
953
+ "loss": 1.099,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 2.592233009708738,
958
+ "grad_norm": 0.34597843885421753,
959
+ "learning_rate": 5.474529709554612e-05,
960
+ "loss": 1.0971,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 2.6116504854368934,
965
+ "grad_norm": 0.2773433327674866,
966
+ "learning_rate": 5.3307229138275936e-05,
967
+ "loss": 1.0747,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 2.6310679611650487,
972
+ "grad_norm": 0.3997284770011902,
973
+ "learning_rate": 5.1881405550919493e-05,
974
+ "loss": 1.0579,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 2.650485436893204,
979
+ "grad_norm": 0.3829750716686249,
980
+ "learning_rate": 5.0468200231001286e-05,
981
+ "loss": 1.0671,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 2.6699029126213594,
986
+ "grad_norm": 0.2364608198404312,
987
+ "learning_rate": 4.9067983767123736e-05,
988
+ "loss": 1.0739,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 2.6893203883495147,
993
+ "grad_norm": 0.29015663266181946,
994
+ "learning_rate": 4.768112334178699e-05,
995
+ "loss": 1.0626,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 2.70873786407767,
1000
+ "grad_norm": 0.39254897832870483,
1001
+ "learning_rate": 4.630798263510162e-05,
1002
+ "loss": 1.0648,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 2.7281553398058254,
1007
+ "grad_norm": 0.42674142122268677,
1008
+ "learning_rate": 4.494892172941965e-05,
1009
+ "loss": 1.1137,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 2.7475728155339807,
1014
+ "grad_norm": 0.4450013041496277,
1015
+ "learning_rate": 4.360429701490934e-05,
1016
+ "loss": 1.1096,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 2.766990291262136,
1021
+ "grad_norm": 0.333667516708374,
1022
+ "learning_rate": 4.227446109609809e-05,
1023
+ "loss": 1.0758,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 2.7864077669902914,
1028
+ "grad_norm": 0.4920090436935425,
1029
+ "learning_rate": 4.0959762699407766e-05,
1030
+ "loss": 1.0698,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 2.8058252427184467,
1035
+ "grad_norm": 0.31687042117118835,
1036
+ "learning_rate": 3.966054658170754e-05,
1037
+ "loss": 1.0901,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 2.825242718446602,
1042
+ "grad_norm": 0.3884165585041046,
1043
+ "learning_rate": 3.8377153439907266e-05,
1044
+ "loss": 1.0753,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 2.8446601941747574,
1049
+ "grad_norm": 0.41056135296821594,
1050
+ "learning_rate": 3.710991982161555e-05,
1051
+ "loss": 1.1145,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 2.8640776699029127,
1056
+ "grad_norm": 0.32460349798202515,
1057
+ "learning_rate": 3.585917803688603e-05,
1058
+ "loss": 1.0716,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 2.883495145631068,
1063
+ "grad_norm": 0.3436354994773865,
1064
+ "learning_rate": 3.4625256071074773e-05,
1065
+ "loss": 1.0995,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 2.9029126213592233,
1070
+ "grad_norm": 0.29039478302001953,
1071
+ "learning_rate": 3.340847749883191e-05,
1072
+ "loss": 1.058,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 2.9223300970873787,
1077
+ "grad_norm": 0.2641606330871582,
1078
+ "learning_rate": 3.2209161399249674e-05,
1079
+ "loss": 1.0705,
1080
+ "step": 153
1081
+ }
1082
+ ],
1083
+ "logging_steps": 1,
1084
+ "max_steps": 204,
1085
+ "num_input_tokens_seen": 0,
1086
+ "num_train_epochs": 4,
1087
+ "save_steps": 51,
1088
+ "total_flos": 3.182608847260877e+16,
1089
+ "train_batch_size": 2,
1090
+ "trial_name": null,
1091
+ "trial_params": null
1092
+ }
checkpoint-153/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
3
+ size 5816
checkpoint-204/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.10.0
checkpoint-204/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "o_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-204/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1818d92e227b78a4a8293d5066c8c9807353aedab7b4abeaf3002ecd014de713
3
+ size 100966336
checkpoint-204/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e82e3dbdec46891523e379c84248451f5dde88a32e8cf0fc92b9753b76571b4
3
+ size 50916644
checkpoint-204/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9fe480ac13f8022b76fbc5cc6956619acdfb8de57acaa1824e71f8913646416
3
+ size 14244
checkpoint-204/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a406cab4a7a12737eda7c59d60db0c008bffa82de17f2878810f2d4cedd3d1ef
3
+ size 1064
checkpoint-204/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-204/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-204/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false,
43
+ "use_fast": true
44
+ }
checkpoint-204/trainer_state.json ADDED
@@ -0,0 +1,1449 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.8883495145631066,
5
+ "eval_steps": 500,
6
+ "global_step": 204,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.019417475728155338,
13
+ "grad_norm": 6.841878890991211,
14
+ "learning_rate": 2e-05,
15
+ "loss": 4.5864,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.038834951456310676,
20
+ "grad_norm": 6.640402793884277,
21
+ "learning_rate": 4e-05,
22
+ "loss": 4.6138,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.05825242718446602,
27
+ "grad_norm": 6.41209077835083,
28
+ "learning_rate": 6e-05,
29
+ "loss": 4.6064,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.07766990291262135,
34
+ "grad_norm": 6.082383632659912,
35
+ "learning_rate": 8e-05,
36
+ "loss": 4.5534,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.0970873786407767,
41
+ "grad_norm": 4.00201416015625,
42
+ "learning_rate": 0.0001,
43
+ "loss": 4.3245,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.11650485436893204,
48
+ "grad_norm": 3.1707470417022705,
49
+ "learning_rate": 0.00012,
50
+ "loss": 4.0971,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.13592233009708737,
55
+ "grad_norm": 3.160670518875122,
56
+ "learning_rate": 0.00014,
57
+ "loss": 3.789,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.1553398058252427,
62
+ "grad_norm": 2.994746208190918,
63
+ "learning_rate": 0.00016,
64
+ "loss": 3.3244,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.17475728155339806,
69
+ "grad_norm": 2.6664786338806152,
70
+ "learning_rate": 0.00018,
71
+ "loss": 2.8561,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1941747572815534,
76
+ "grad_norm": 2.029910087585449,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.3926,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.21359223300970873,
83
+ "grad_norm": 1.3144137859344482,
84
+ "learning_rate": 0.00019998688836656323,
85
+ "loss": 2.0283,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.23300970873786409,
90
+ "grad_norm": 0.8263471722602844,
91
+ "learning_rate": 0.00019994755690455152,
92
+ "loss": 1.8683,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.2524271844660194,
97
+ "grad_norm": 0.7193414568901062,
98
+ "learning_rate": 0.0001998820159279591,
99
+ "loss": 1.732,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.27184466019417475,
104
+ "grad_norm": 0.8350910544395447,
105
+ "learning_rate": 0.00019979028262377118,
106
+ "loss": 1.6208,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.2912621359223301,
111
+ "grad_norm": 0.6700139045715332,
112
+ "learning_rate": 0.00019967238104745696,
113
+ "loss": 1.493,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.3106796116504854,
118
+ "grad_norm": 1.1213518381118774,
119
+ "learning_rate": 0.0001995283421166614,
120
+ "loss": 1.4857,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.3300970873786408,
125
+ "grad_norm": 0.7505896687507629,
126
+ "learning_rate": 0.00019935820360309777,
127
+ "loss": 1.4643,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.34951456310679613,
132
+ "grad_norm": 0.6984190940856934,
133
+ "learning_rate": 0.00019916201012264254,
134
+ "loss": 1.4227,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.36893203883495146,
139
+ "grad_norm": 0.46819525957107544,
140
+ "learning_rate": 0.00019893981312363562,
141
+ "loss": 1.3889,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.3883495145631068,
146
+ "grad_norm": 0.5214670300483704,
147
+ "learning_rate": 0.00019869167087338907,
148
+ "loss": 1.3764,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.4077669902912621,
153
+ "grad_norm": 0.43329402804374695,
154
+ "learning_rate": 0.00019841764844290744,
155
+ "loss": 1.351,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.42718446601941745,
160
+ "grad_norm": 0.6535053253173828,
161
+ "learning_rate": 0.0001981178176898239,
162
+ "loss": 1.3576,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.44660194174757284,
167
+ "grad_norm": 0.6363189816474915,
168
+ "learning_rate": 0.00019779225723955707,
169
+ "loss": 1.3159,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.46601941747572817,
174
+ "grad_norm": 0.42140620946884155,
175
+ "learning_rate": 0.00019744105246469263,
176
+ "loss": 1.3072,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.4854368932038835,
181
+ "grad_norm": 0.6757440567016602,
182
+ "learning_rate": 0.00019706429546259593,
183
+ "loss": 1.3261,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.5048543689320388,
188
+ "grad_norm": 0.4116632044315338,
189
+ "learning_rate": 0.00019666208503126112,
190
+ "loss": 1.317,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.5242718446601942,
195
+ "grad_norm": 0.5359898209571838,
196
+ "learning_rate": 0.00019623452664340306,
197
+ "loss": 1.2932,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.5436893203883495,
202
+ "grad_norm": 0.4596949517726898,
203
+ "learning_rate": 0.00019578173241879872,
204
+ "loss": 1.2601,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.5631067961165048,
209
+ "grad_norm": 0.6857442855834961,
210
+ "learning_rate": 0.0001953038210948861,
211
+ "loss": 1.2734,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.5825242718446602,
216
+ "grad_norm": 0.4453957676887512,
217
+ "learning_rate": 0.00019480091799562704,
218
+ "loss": 1.2521,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.6019417475728155,
223
+ "grad_norm": 0.6118847131729126,
224
+ "learning_rate": 0.00019427315499864344,
225
+ "loss": 1.2252,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.6213592233009708,
230
+ "grad_norm": 0.4894339442253113,
231
+ "learning_rate": 0.00019372067050063438,
232
+ "loss": 1.2369,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.6407766990291263,
237
+ "grad_norm": 0.5901785492897034,
238
+ "learning_rate": 0.00019314360938108425,
239
+ "loss": 1.2507,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.6601941747572816,
244
+ "grad_norm": 0.4147897958755493,
245
+ "learning_rate": 0.00019254212296427044,
246
+ "loss": 1.2454,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.6796116504854369,
251
+ "grad_norm": 0.2836126685142517,
252
+ "learning_rate": 0.00019191636897958122,
253
+ "loss": 1.2515,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.6990291262135923,
258
+ "grad_norm": 0.4523944556713104,
259
+ "learning_rate": 0.00019126651152015403,
260
+ "loss": 1.2217,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.7184466019417476,
265
+ "grad_norm": 0.4187013804912567,
266
+ "learning_rate": 0.0001905927209998447,
267
+ "loss": 1.2382,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.7378640776699029,
272
+ "grad_norm": 0.516381561756134,
273
+ "learning_rate": 0.00018989517410853955,
274
+ "loss": 1.2214,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.7572815533980582,
279
+ "grad_norm": 0.5928078889846802,
280
+ "learning_rate": 0.00018917405376582145,
281
+ "loss": 1.2407,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.7766990291262136,
286
+ "grad_norm": 0.4062119722366333,
287
+ "learning_rate": 0.00018842954907300236,
288
+ "loss": 1.1958,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.7961165048543689,
293
+ "grad_norm": 0.5966278910636902,
294
+ "learning_rate": 0.0001876618552635348,
295
+ "loss": 1.2043,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.8155339805825242,
300
+ "grad_norm": 0.47196483612060547,
301
+ "learning_rate": 0.00018687117365181512,
302
+ "loss": 1.2321,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.8349514563106796,
307
+ "grad_norm": 0.6465126872062683,
308
+ "learning_rate": 0.00018605771158039253,
309
+ "loss": 1.1996,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.8543689320388349,
314
+ "grad_norm": 0.4234643578529358,
315
+ "learning_rate": 0.00018522168236559695,
316
+ "loss": 1.198,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.8737864077669902,
321
+ "grad_norm": 0.3910824656486511,
322
+ "learning_rate": 0.00018436330524160047,
323
+ "loss": 1.1895,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.8932038834951457,
328
+ "grad_norm": 0.5380635261535645,
329
+ "learning_rate": 0.00018348280530292713,
330
+ "loss": 1.1693,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.912621359223301,
335
+ "grad_norm": 0.31823453307151794,
336
+ "learning_rate": 0.00018258041344542566,
337
+ "loss": 1.159,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.9320388349514563,
342
+ "grad_norm": 0.5679419636726379,
343
+ "learning_rate": 0.0001816563663057211,
344
+ "loss": 1.1931,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.9514563106796117,
349
+ "grad_norm": 0.3980861008167267,
350
+ "learning_rate": 0.00018071090619916093,
351
+ "loss": 1.1826,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.970873786407767,
356
+ "grad_norm": 0.3688671588897705,
357
+ "learning_rate": 0.00017974428105627208,
358
+ "loss": 1.176,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.9902912621359223,
363
+ "grad_norm": 0.4137047827243805,
364
+ "learning_rate": 0.00017875674435774547,
365
+ "loss": 1.142,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 1.0097087378640777,
370
+ "grad_norm": 0.3141655921936035,
371
+ "learning_rate": 0.00017774855506796496,
372
+ "loss": 1.1614,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.0048543689320388,
377
+ "grad_norm": 0.3113202154636383,
378
+ "learning_rate": 0.00017671997756709863,
379
+ "loss": 1.1668,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.0242718446601942,
384
+ "grad_norm": 0.5369274616241455,
385
+ "learning_rate": 0.00017567128158176953,
386
+ "loss": 1.1157,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.0436893203883495,
391
+ "grad_norm": 0.550740122795105,
392
+ "learning_rate": 0.0001746027421143246,
393
+ "loss": 1.1674,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.0631067961165048,
398
+ "grad_norm": 0.4507598578929901,
399
+ "learning_rate": 0.00017351463937072004,
400
+ "loss": 1.1484,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.0825242718446602,
405
+ "grad_norm": 0.5626426935195923,
406
+ "learning_rate": 0.00017240725868704218,
407
+ "loss": 1.1614,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.1019417475728155,
412
+ "grad_norm": 0.36562928557395935,
413
+ "learning_rate": 0.00017128089045468294,
414
+ "loss": 1.1246,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.1213592233009708,
419
+ "grad_norm": 0.6106365323066711,
420
+ "learning_rate": 0.00017013583004418993,
421
+ "loss": 1.141,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.1407766990291262,
426
+ "grad_norm": 0.3751409947872162,
427
+ "learning_rate": 0.00016897237772781044,
428
+ "loss": 1.1565,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.1601941747572815,
433
+ "grad_norm": 0.5318562984466553,
434
+ "learning_rate": 0.00016779083860075033,
435
+ "loss": 1.1501,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.1796116504854368,
440
+ "grad_norm": 0.3675023317337036,
441
+ "learning_rate": 0.00016659152250116812,
442
+ "loss": 1.1162,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.1990291262135921,
447
+ "grad_norm": 0.38894137740135193,
448
+ "learning_rate": 0.00016537474392892528,
449
+ "loss": 1.146,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 1.2184466019417475,
454
+ "grad_norm": 0.3107282817363739,
455
+ "learning_rate": 0.000164140821963114,
456
+ "loss": 1.135,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 1.237864077669903,
461
+ "grad_norm": 0.2496870756149292,
462
+ "learning_rate": 0.00016289008017838445,
463
+ "loss": 1.133,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 1.2572815533980584,
468
+ "grad_norm": 0.35233214497566223,
469
+ "learning_rate": 0.00016162284656009274,
470
+ "loss": 1.1446,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 1.2766990291262137,
475
+ "grad_norm": 0.33078905940055847,
476
+ "learning_rate": 0.00016033945341829248,
477
+ "loss": 1.1077,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 1.296116504854369,
482
+ "grad_norm": 0.24236944317817688,
483
+ "learning_rate": 0.00015904023730059228,
484
+ "loss": 1.1367,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 1.3155339805825244,
489
+ "grad_norm": 0.3248869776725769,
490
+ "learning_rate": 0.00015772553890390197,
491
+ "loss": 1.1405,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 1.3349514563106797,
496
+ "grad_norm": 0.3145497739315033,
497
+ "learning_rate": 0.00015639570298509064,
498
+ "loss": 1.1134,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 1.354368932038835,
503
+ "grad_norm": 0.3858337700366974,
504
+ "learning_rate": 0.00015505107827058036,
505
+ "loss": 1.1293,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 1.3737864077669903,
510
+ "grad_norm": 0.3683490753173828,
511
+ "learning_rate": 0.0001536920173648984,
512
+ "loss": 1.1069,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 1.3932038834951457,
517
+ "grad_norm": 0.5532976388931274,
518
+ "learning_rate": 0.000152318876658213,
519
+ "loss": 1.1432,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 1.412621359223301,
524
+ "grad_norm": 0.3198872208595276,
525
+ "learning_rate": 0.00015093201623287631,
526
+ "loss": 1.1423,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 1.4320388349514563,
531
+ "grad_norm": 0.7470155954360962,
532
+ "learning_rate": 0.00014953179976899878,
533
+ "loss": 1.1475,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 1.4514563106796117,
538
+ "grad_norm": 0.4092984199523926,
539
+ "learning_rate": 0.00014811859444908052,
540
+ "loss": 1.0955,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 1.470873786407767,
545
+ "grad_norm": 0.6536680459976196,
546
+ "learning_rate": 0.00014669277086172406,
547
+ "loss": 1.1359,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 1.4902912621359223,
552
+ "grad_norm": 0.35692015290260315,
553
+ "learning_rate": 0.00014525470290445392,
554
+ "loss": 1.1131,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 1.5097087378640777,
559
+ "grad_norm": 0.46786415576934814,
560
+ "learning_rate": 0.00014380476768566824,
561
+ "loss": 1.1133,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 1.529126213592233,
566
+ "grad_norm": 0.6847173571586609,
567
+ "learning_rate": 0.00014234334542574906,
568
+ "loss": 1.125,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 1.5485436893203883,
573
+ "grad_norm": 0.5090566277503967,
574
+ "learning_rate": 0.00014087081935735564,
575
+ "loss": 1.1562,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 1.5679611650485437,
580
+ "grad_norm": 0.7293880581855774,
581
+ "learning_rate": 0.00013938757562492873,
582
+ "loss": 1.1348,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 1.587378640776699,
587
+ "grad_norm": 0.3536413908004761,
588
+ "learning_rate": 0.00013789400318343068,
589
+ "loss": 1.1134,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 1.6067961165048543,
594
+ "grad_norm": 0.802762508392334,
595
+ "learning_rate": 0.00013639049369634876,
596
+ "loss": 1.1256,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 1.6262135922330097,
601
+ "grad_norm": 0.27904102206230164,
602
+ "learning_rate": 0.00013487744143298822,
603
+ "loss": 1.1367,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 1.645631067961165,
608
+ "grad_norm": 0.6024283170700073,
609
+ "learning_rate": 0.00013335524316508208,
610
+ "loss": 1.1174,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 1.6650485436893203,
615
+ "grad_norm": 0.5118915438652039,
616
+ "learning_rate": 0.0001318242980627444,
617
+ "loss": 1.0848,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 1.6844660194174756,
622
+ "grad_norm": 0.3924892544746399,
623
+ "learning_rate": 0.00013028500758979506,
624
+ "loss": 1.1114,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 1.703883495145631,
629
+ "grad_norm": 0.4876178801059723,
630
+ "learning_rate": 0.00012873777539848283,
631
+ "loss": 1.1303,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 1.7233009708737863,
636
+ "grad_norm": 0.4133356809616089,
637
+ "learning_rate": 0.0001271830072236343,
638
+ "loss": 1.0894,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 1.7427184466019416,
643
+ "grad_norm": 0.42908573150634766,
644
+ "learning_rate": 0.00012562111077625722,
645
+ "loss": 1.0806,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 1.762135922330097,
650
+ "grad_norm": 0.5923053026199341,
651
+ "learning_rate": 0.00012405249563662537,
652
+ "loss": 1.1254,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 1.7815533980582523,
657
+ "grad_norm": 0.34368380904197693,
658
+ "learning_rate": 0.00012247757314687297,
659
+ "loss": 1.1251,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 1.8009708737864076,
664
+ "grad_norm": 0.6336709856987,
665
+ "learning_rate": 0.00012089675630312754,
666
+ "loss": 1.1042,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 1.820388349514563,
671
+ "grad_norm": 0.32966285943984985,
672
+ "learning_rate": 0.00011931045964720881,
673
+ "loss": 1.09,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 1.8398058252427183,
678
+ "grad_norm": 0.42973244190216064,
679
+ "learning_rate": 0.0001177190991579223,
680
+ "loss": 1.0896,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 1.8592233009708736,
685
+ "grad_norm": 0.5365500450134277,
686
+ "learning_rate": 0.00011612309214197599,
687
+ "loss": 1.1281,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 1.8786407766990292,
692
+ "grad_norm": 0.4330235421657562,
693
+ "learning_rate": 0.00011452285712454904,
694
+ "loss": 1.087,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 1.8980582524271845,
699
+ "grad_norm": 0.47839391231536865,
700
+ "learning_rate": 0.00011291881373954065,
701
+ "loss": 1.0967,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 1.9174757281553398,
706
+ "grad_norm": 0.27464163303375244,
707
+ "learning_rate": 0.00011131138261952845,
708
+ "loss": 1.0981,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 1.9368932038834952,
713
+ "grad_norm": 0.41849982738494873,
714
+ "learning_rate": 0.00010970098528546481,
715
+ "loss": 1.1203,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 1.9563106796116505,
720
+ "grad_norm": 0.4630599915981293,
721
+ "learning_rate": 0.00010808804403614043,
722
+ "loss": 1.1224,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 1.9757281553398058,
727
+ "grad_norm": 0.34116509556770325,
728
+ "learning_rate": 0.00010647298183744359,
729
+ "loss": 1.0871,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 1.9951456310679612,
734
+ "grad_norm": 0.4391232430934906,
735
+ "learning_rate": 0.00010485622221144484,
736
+ "loss": 1.1331,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 2.0145631067961167,
741
+ "grad_norm": 0.4344836175441742,
742
+ "learning_rate": 0.00010323818912533561,
743
+ "loss": 1.0874,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 2.0097087378640777,
748
+ "grad_norm": 0.42520374059677124,
749
+ "learning_rate": 0.00010161930688025017,
750
+ "loss": 1.1068,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 2.029126213592233,
755
+ "grad_norm": 0.3572416305541992,
756
+ "learning_rate": 0.0001,
757
+ "loss": 1.1001,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 2.0485436893203883,
762
+ "grad_norm": 0.38590529561042786,
763
+ "learning_rate": 9.838069311974986e-05,
764
+ "loss": 1.0833,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 2.0679611650485437,
769
+ "grad_norm": 0.2969411313533783,
770
+ "learning_rate": 9.676181087466444e-05,
771
+ "loss": 1.0939,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 2.087378640776699,
776
+ "grad_norm": 0.25997498631477356,
777
+ "learning_rate": 9.514377778855521e-05,
778
+ "loss": 1.1063,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 2.1067961165048543,
783
+ "grad_norm": 0.3671320676803589,
784
+ "learning_rate": 9.352701816255643e-05,
785
+ "loss": 1.103,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 2.1262135922330097,
790
+ "grad_norm": 0.552992582321167,
791
+ "learning_rate": 9.19119559638596e-05,
792
+ "loss": 1.0874,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 2.145631067961165,
797
+ "grad_norm": 0.25193411111831665,
798
+ "learning_rate": 9.02990147145352e-05,
799
+ "loss": 1.0946,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 2.1650485436893203,
804
+ "grad_norm": 0.33370667695999146,
805
+ "learning_rate": 8.868861738047158e-05,
806
+ "loss": 1.1108,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 2.1844660194174756,
811
+ "grad_norm": 0.42085111141204834,
812
+ "learning_rate": 8.70811862604594e-05,
813
+ "loss": 1.0883,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 2.203883495145631,
818
+ "grad_norm": 0.40206724405288696,
819
+ "learning_rate": 8.5477142875451e-05,
820
+ "loss": 1.1006,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 2.2233009708737863,
825
+ "grad_norm": 0.3052491247653961,
826
+ "learning_rate": 8.387690785802402e-05,
827
+ "loss": 1.1155,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 2.2427184466019416,
832
+ "grad_norm": 0.42322033643722534,
833
+ "learning_rate": 8.228090084207774e-05,
834
+ "loss": 1.0929,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 2.262135922330097,
839
+ "grad_norm": 0.5083087682723999,
840
+ "learning_rate": 8.068954035279121e-05,
841
+ "loss": 1.122,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 2.2815533980582523,
846
+ "grad_norm": 0.2693060636520386,
847
+ "learning_rate": 7.91032436968725e-05,
848
+ "loss": 1.0837,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 2.3009708737864076,
853
+ "grad_norm": 0.34834596514701843,
854
+ "learning_rate": 7.75224268531271e-05,
855
+ "loss": 1.0768,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 2.320388349514563,
860
+ "grad_norm": 0.3885416090488434,
861
+ "learning_rate": 7.594750436337467e-05,
862
+ "loss": 1.0616,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 2.3398058252427183,
867
+ "grad_norm": 0.3093293011188507,
868
+ "learning_rate": 7.437888922374276e-05,
869
+ "loss": 1.0799,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 2.3592233009708736,
874
+ "grad_norm": 0.4098259210586548,
875
+ "learning_rate": 7.281699277636572e-05,
876
+ "loss": 1.1184,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 2.378640776699029,
881
+ "grad_norm": 0.29187697172164917,
882
+ "learning_rate": 7.126222460151719e-05,
883
+ "loss": 1.0883,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 2.3980582524271843,
888
+ "grad_norm": 0.3151191174983978,
889
+ "learning_rate": 6.971499241020495e-05,
890
+ "loss": 1.0692,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 2.4174757281553396,
895
+ "grad_norm": 0.3117734491825104,
896
+ "learning_rate": 6.817570193725564e-05,
897
+ "loss": 1.0926,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 2.436893203883495,
902
+ "grad_norm": 0.25921401381492615,
903
+ "learning_rate": 6.664475683491796e-05,
904
+ "loss": 1.0707,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 2.4563106796116507,
909
+ "grad_norm": 0.31505605578422546,
910
+ "learning_rate": 6.512255856701177e-05,
911
+ "loss": 1.0988,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 2.475728155339806,
916
+ "grad_norm": 0.25132912397384644,
917
+ "learning_rate": 6.360950630365126e-05,
918
+ "loss": 1.0726,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 2.4951456310679614,
923
+ "grad_norm": 0.2596098780632019,
924
+ "learning_rate": 6.210599681656933e-05,
925
+ "loss": 1.1138,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 2.5145631067961167,
930
+ "grad_norm": 0.24262911081314087,
931
+ "learning_rate": 6.061242437507131e-05,
932
+ "loss": 1.0759,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 2.533980582524272,
937
+ "grad_norm": 0.29739508032798767,
938
+ "learning_rate": 5.9129180642644414e-05,
939
+ "loss": 1.082,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 2.5533980582524274,
944
+ "grad_norm": 0.32182446122169495,
945
+ "learning_rate": 5.765665457425102e-05,
946
+ "loss": 1.0698,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 2.5728155339805827,
951
+ "grad_norm": 0.3175111711025238,
952
+ "learning_rate": 5.6195232314331766e-05,
953
+ "loss": 1.099,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 2.592233009708738,
958
+ "grad_norm": 0.34597843885421753,
959
+ "learning_rate": 5.474529709554612e-05,
960
+ "loss": 1.0971,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 2.6116504854368934,
965
+ "grad_norm": 0.2773433327674866,
966
+ "learning_rate": 5.3307229138275936e-05,
967
+ "loss": 1.0747,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 2.6310679611650487,
972
+ "grad_norm": 0.3997284770011902,
973
+ "learning_rate": 5.1881405550919493e-05,
974
+ "loss": 1.0579,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 2.650485436893204,
979
+ "grad_norm": 0.3829750716686249,
980
+ "learning_rate": 5.0468200231001286e-05,
981
+ "loss": 1.0671,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 2.6699029126213594,
986
+ "grad_norm": 0.2364608198404312,
987
+ "learning_rate": 4.9067983767123736e-05,
988
+ "loss": 1.0739,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 2.6893203883495147,
993
+ "grad_norm": 0.29015663266181946,
994
+ "learning_rate": 4.768112334178699e-05,
995
+ "loss": 1.0626,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 2.70873786407767,
1000
+ "grad_norm": 0.39254897832870483,
1001
+ "learning_rate": 4.630798263510162e-05,
1002
+ "loss": 1.0648,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 2.7281553398058254,
1007
+ "grad_norm": 0.42674142122268677,
1008
+ "learning_rate": 4.494892172941965e-05,
1009
+ "loss": 1.1137,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 2.7475728155339807,
1014
+ "grad_norm": 0.4450013041496277,
1015
+ "learning_rate": 4.360429701490934e-05,
1016
+ "loss": 1.1096,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 2.766990291262136,
1021
+ "grad_norm": 0.333667516708374,
1022
+ "learning_rate": 4.227446109609809e-05,
1023
+ "loss": 1.0758,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 2.7864077669902914,
1028
+ "grad_norm": 0.4920090436935425,
1029
+ "learning_rate": 4.0959762699407766e-05,
1030
+ "loss": 1.0698,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 2.8058252427184467,
1035
+ "grad_norm": 0.31687042117118835,
1036
+ "learning_rate": 3.966054658170754e-05,
1037
+ "loss": 1.0901,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 2.825242718446602,
1042
+ "grad_norm": 0.3884165585041046,
1043
+ "learning_rate": 3.8377153439907266e-05,
1044
+ "loss": 1.0753,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 2.8446601941747574,
1049
+ "grad_norm": 0.41056135296821594,
1050
+ "learning_rate": 3.710991982161555e-05,
1051
+ "loss": 1.1145,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 2.8640776699029127,
1056
+ "grad_norm": 0.32460349798202515,
1057
+ "learning_rate": 3.585917803688603e-05,
1058
+ "loss": 1.0716,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 2.883495145631068,
1063
+ "grad_norm": 0.3436354994773865,
1064
+ "learning_rate": 3.4625256071074773e-05,
1065
+ "loss": 1.0995,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 2.9029126213592233,
1070
+ "grad_norm": 0.29039478302001953,
1071
+ "learning_rate": 3.340847749883191e-05,
1072
+ "loss": 1.058,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 2.9223300970873787,
1077
+ "grad_norm": 0.2641606330871582,
1078
+ "learning_rate": 3.2209161399249674e-05,
1079
+ "loss": 1.0705,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 2.941747572815534,
1084
+ "grad_norm": 0.3594358265399933,
1085
+ "learning_rate": 3.102762227218957e-05,
1086
+ "loss": 1.0932,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 2.9611650485436893,
1091
+ "grad_norm": 0.23593547940254211,
1092
+ "learning_rate": 2.9864169955810084e-05,
1093
+ "loss": 1.0527,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 2.9805825242718447,
1098
+ "grad_norm": 0.2442445307970047,
1099
+ "learning_rate": 2.8719109545317103e-05,
1100
+ "loss": 1.0863,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 3.0,
1105
+ "grad_norm": 0.2583329677581787,
1106
+ "learning_rate": 2.759274131295787e-05,
1107
+ "loss": 1.0948,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 3.0194174757281553,
1112
+ "grad_norm": 0.3333183228969574,
1113
+ "learning_rate": 2.6485360629279987e-05,
1114
+ "loss": 1.1272,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 3.0145631067961167,
1119
+ "grad_norm": 0.34542328119277954,
1120
+ "learning_rate": 2.5397257885675397e-05,
1121
+ "loss": 1.0788,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 3.033980582524272,
1126
+ "grad_norm": 0.23096761107444763,
1127
+ "learning_rate": 2.432871841823047e-05,
1128
+ "loss": 1.0871,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 3.0533980582524274,
1133
+ "grad_norm": 0.24203942716121674,
1134
+ "learning_rate": 2.3280022432901383e-05,
1135
+ "loss": 1.052,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 3.0728155339805827,
1140
+ "grad_norm": 0.21322639286518097,
1141
+ "learning_rate": 2.2251444932035094e-05,
1142
+ "loss": 1.084,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 3.092233009708738,
1147
+ "grad_norm": 0.29339829087257385,
1148
+ "learning_rate": 2.1243255642254578e-05,
1149
+ "loss": 1.0899,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 3.1116504854368934,
1154
+ "grad_norm": 0.34360697865486145,
1155
+ "learning_rate": 2.025571894372794e-05,
1156
+ "loss": 1.1268,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 3.1310679611650487,
1161
+ "grad_norm": 0.30623048543930054,
1162
+ "learning_rate": 1.9289093800839066e-05,
1163
+ "loss": 1.0909,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 3.150485436893204,
1168
+ "grad_norm": 0.23241010308265686,
1169
+ "learning_rate": 1.8343633694278895e-05,
1170
+ "loss": 1.0688,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 3.1699029126213594,
1175
+ "grad_norm": 0.3101847767829895,
1176
+ "learning_rate": 1.741958655457436e-05,
1177
+ "loss": 1.036,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 3.1893203883495147,
1182
+ "grad_norm": 0.31015124917030334,
1183
+ "learning_rate": 1.65171946970729e-05,
1184
+ "loss": 1.0687,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 3.20873786407767,
1189
+ "grad_norm": 0.2729584872722626,
1190
+ "learning_rate": 1.563669475839956e-05,
1191
+ "loss": 1.0798,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 3.2281553398058254,
1196
+ "grad_norm": 0.31670236587524414,
1197
+ "learning_rate": 1.4778317634403083e-05,
1198
+ "loss": 1.0775,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 3.2475728155339807,
1203
+ "grad_norm": 0.319918692111969,
1204
+ "learning_rate": 1.3942288419607475e-05,
1205
+ "loss": 1.0666,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 3.266990291262136,
1210
+ "grad_norm": 0.2893763482570648,
1211
+ "learning_rate": 1.3128826348184887e-05,
1212
+ "loss": 1.0665,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 3.2864077669902914,
1217
+ "grad_norm": 0.2631440758705139,
1218
+ "learning_rate": 1.233814473646524e-05,
1219
+ "loss": 1.059,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 3.3058252427184467,
1224
+ "grad_norm": 0.3630000948905945,
1225
+ "learning_rate": 1.1570450926997655e-05,
1226
+ "loss": 1.0832,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 3.325242718446602,
1231
+ "grad_norm": 0.26215022802352905,
1232
+ "learning_rate": 1.0825946234178574e-05,
1233
+ "loss": 1.0813,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 3.3446601941747574,
1238
+ "grad_norm": 0.31675612926483154,
1239
+ "learning_rate": 1.010482589146048e-05,
1240
+ "loss": 1.0857,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 3.3640776699029127,
1245
+ "grad_norm": 0.287594199180603,
1246
+ "learning_rate": 9.407279000155312e-06,
1247
+ "loss": 1.1148,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 3.383495145631068,
1252
+ "grad_norm": 0.24483542144298553,
1253
+ "learning_rate": 8.733488479845997e-06,
1254
+ "loss": 1.0625,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 3.4029126213592233,
1259
+ "grad_norm": 0.2373855859041214,
1260
+ "learning_rate": 8.083631020418791e-06,
1261
+ "loss": 1.083,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 3.4223300970873787,
1266
+ "grad_norm": 0.2648206055164337,
1267
+ "learning_rate": 7.457877035729588e-06,
1268
+ "loss": 1.0577,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 3.441747572815534,
1273
+ "grad_norm": 0.29279831051826477,
1274
+ "learning_rate": 6.856390618915775e-06,
1275
+ "loss": 1.0949,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 3.4611650485436893,
1280
+ "grad_norm": 0.27792996168136597,
1281
+ "learning_rate": 6.2793294993656494e-06,
1282
+ "loss": 1.0856,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 3.4805825242718447,
1287
+ "grad_norm": 0.2441776841878891,
1288
+ "learning_rate": 5.726845001356573e-06,
1289
+ "loss": 1.0374,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 3.5,
1294
+ "grad_norm": 0.2667102515697479,
1295
+ "learning_rate": 5.199082004372957e-06,
1296
+ "loss": 1.0732,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 3.5194174757281553,
1301
+ "grad_norm": 0.21864843368530273,
1302
+ "learning_rate": 4.6961789051139124e-06,
1303
+ "loss": 1.0823,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 3.5388349514563107,
1308
+ "grad_norm": 0.21724966168403625,
1309
+ "learning_rate": 4.2182675812012965e-06,
1310
+ "loss": 1.0892,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 3.558252427184466,
1315
+ "grad_norm": 0.2550470530986786,
1316
+ "learning_rate": 3.7654733565969826e-06,
1317
+ "loss": 1.0725,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 3.5776699029126213,
1322
+ "grad_norm": 0.23086749017238617,
1323
+ "learning_rate": 3.3379149687388867e-06,
1324
+ "loss": 1.0469,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 3.5970873786407767,
1329
+ "grad_norm": 0.20026402175426483,
1330
+ "learning_rate": 2.9357045374040825e-06,
1331
+ "loss": 1.0784,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 3.616504854368932,
1336
+ "grad_norm": 0.2986784875392914,
1337
+ "learning_rate": 2.5589475353073988e-06,
1338
+ "loss": 1.0751,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 3.6359223300970873,
1343
+ "grad_norm": 0.2252379208803177,
1344
+ "learning_rate": 2.2077427604429433e-06,
1345
+ "loss": 1.0802,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 3.6553398058252426,
1350
+ "grad_norm": 0.30462658405303955,
1351
+ "learning_rate": 1.882182310176095e-06,
1352
+ "loss": 1.0753,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 3.674757281553398,
1357
+ "grad_norm": 0.3177051842212677,
1358
+ "learning_rate": 1.5823515570925763e-06,
1359
+ "loss": 1.0974,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 3.6941747572815533,
1364
+ "grad_norm": 0.26043936610221863,
1365
+ "learning_rate": 1.30832912661093e-06,
1366
+ "loss": 1.0734,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 3.7135922330097086,
1371
+ "grad_norm": 0.28095176815986633,
1372
+ "learning_rate": 1.0601868763643996e-06,
1373
+ "loss": 1.029,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 3.733009708737864,
1378
+ "grad_norm": 0.25758782029151917,
1379
+ "learning_rate": 8.379898773574924e-07,
1380
+ "loss": 1.0796,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 3.7524271844660193,
1385
+ "grad_norm": 0.24343402683734894,
1386
+ "learning_rate": 6.41796396902239e-07,
1387
+ "loss": 1.0581,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 3.7718446601941746,
1392
+ "grad_norm": 0.33343780040740967,
1393
+ "learning_rate": 4.7165788333860536e-07,
1394
+ "loss": 1.0505,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 3.79126213592233,
1399
+ "grad_norm": 0.2605248987674713,
1400
+ "learning_rate": 3.2761895254306287e-07,
1401
+ "loss": 1.0766,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 3.8106796116504853,
1406
+ "grad_norm": 0.212020143866539,
1407
+ "learning_rate": 2.0971737622883515e-07,
1408
+ "loss": 1.0873,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 3.8300970873786406,
1413
+ "grad_norm": 0.22274315357208252,
1414
+ "learning_rate": 1.179840720409331e-07,
1415
+ "loss": 1.0891,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 3.849514563106796,
1420
+ "grad_norm": 0.22543945908546448,
1421
+ "learning_rate": 5.2443095448506674e-08,
1422
+ "loss": 1.0872,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 3.8689320388349513,
1427
+ "grad_norm": 0.23441745340824127,
1428
+ "learning_rate": 1.3111633436779791e-08,
1429
+ "loss": 1.063,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 3.8883495145631066,
1434
+ "grad_norm": 0.21964219212532043,
1435
+ "learning_rate": 0.0,
1436
+ "loss": 1.0592,
1437
+ "step": 204
1438
+ }
1439
+ ],
1440
+ "logging_steps": 1,
1441
+ "max_steps": 204,
1442
+ "num_input_tokens_seen": 0,
1443
+ "num_train_epochs": 4,
1444
+ "save_steps": 51,
1445
+ "total_flos": 4.242610320939418e+16,
1446
+ "train_batch_size": 2,
1447
+ "trial_name": null,
1448
+ "trial_params": null
1449
+ }
checkpoint-204/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
3
+ size 5816
checkpoint-51/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.10.0
checkpoint-51/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "down_proj",
28
+ "o_proj",
29
+ "q_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-51/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6b4b723e0887dfa273147b671f4a009077daa8b46adbecbb5cf38cadd073c9c
3
+ size 100966336
checkpoint-51/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03d5e1aef4faa5c75566c9b333fc1fb6a8892c4f2c7f10dc7f4e05385b7ba044
3
+ size 50916644
checkpoint-51/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aab833cfff002e43a167eac31cfae2b8d550a6135c273d9542402c54bb8d1c89
3
+ size 14244
checkpoint-51/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bd13ac134c35297ef96960e4179dd2070c464a771be236b3ecea6e530dfbef2
3
+ size 1064
checkpoint-51/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-51/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-51/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 1000000000000000019884624838656,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false,
43
+ "use_fast": true
44
+ }
checkpoint-51/trainer_state.json ADDED
@@ -0,0 +1,378 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9902912621359223,
5
+ "eval_steps": 500,
6
+ "global_step": 51,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.019417475728155338,
13
+ "grad_norm": 6.841878890991211,
14
+ "learning_rate": 2e-05,
15
+ "loss": 4.5864,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.038834951456310676,
20
+ "grad_norm": 6.640402793884277,
21
+ "learning_rate": 4e-05,
22
+ "loss": 4.6138,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.05825242718446602,
27
+ "grad_norm": 6.41209077835083,
28
+ "learning_rate": 6e-05,
29
+ "loss": 4.6064,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.07766990291262135,
34
+ "grad_norm": 6.082383632659912,
35
+ "learning_rate": 8e-05,
36
+ "loss": 4.5534,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.0970873786407767,
41
+ "grad_norm": 4.00201416015625,
42
+ "learning_rate": 0.0001,
43
+ "loss": 4.3245,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.11650485436893204,
48
+ "grad_norm": 3.1707470417022705,
49
+ "learning_rate": 0.00012,
50
+ "loss": 4.0971,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.13592233009708737,
55
+ "grad_norm": 3.160670518875122,
56
+ "learning_rate": 0.00014,
57
+ "loss": 3.789,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.1553398058252427,
62
+ "grad_norm": 2.994746208190918,
63
+ "learning_rate": 0.00016,
64
+ "loss": 3.3244,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.17475728155339806,
69
+ "grad_norm": 2.6664786338806152,
70
+ "learning_rate": 0.00018,
71
+ "loss": 2.8561,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.1941747572815534,
76
+ "grad_norm": 2.029910087585449,
77
+ "learning_rate": 0.0002,
78
+ "loss": 2.3926,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.21359223300970873,
83
+ "grad_norm": 1.3144137859344482,
84
+ "learning_rate": 0.00019998688836656323,
85
+ "loss": 2.0283,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.23300970873786409,
90
+ "grad_norm": 0.8263471722602844,
91
+ "learning_rate": 0.00019994755690455152,
92
+ "loss": 1.8683,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.2524271844660194,
97
+ "grad_norm": 0.7193414568901062,
98
+ "learning_rate": 0.0001998820159279591,
99
+ "loss": 1.732,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.27184466019417475,
104
+ "grad_norm": 0.8350910544395447,
105
+ "learning_rate": 0.00019979028262377118,
106
+ "loss": 1.6208,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.2912621359223301,
111
+ "grad_norm": 0.6700139045715332,
112
+ "learning_rate": 0.00019967238104745696,
113
+ "loss": 1.493,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.3106796116504854,
118
+ "grad_norm": 1.1213518381118774,
119
+ "learning_rate": 0.0001995283421166614,
120
+ "loss": 1.4857,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.3300970873786408,
125
+ "grad_norm": 0.7505896687507629,
126
+ "learning_rate": 0.00019935820360309777,
127
+ "loss": 1.4643,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.34951456310679613,
132
+ "grad_norm": 0.6984190940856934,
133
+ "learning_rate": 0.00019916201012264254,
134
+ "loss": 1.4227,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.36893203883495146,
139
+ "grad_norm": 0.46819525957107544,
140
+ "learning_rate": 0.00019893981312363562,
141
+ "loss": 1.3889,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.3883495145631068,
146
+ "grad_norm": 0.5214670300483704,
147
+ "learning_rate": 0.00019869167087338907,
148
+ "loss": 1.3764,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.4077669902912621,
153
+ "grad_norm": 0.43329402804374695,
154
+ "learning_rate": 0.00019841764844290744,
155
+ "loss": 1.351,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.42718446601941745,
160
+ "grad_norm": 0.6535053253173828,
161
+ "learning_rate": 0.0001981178176898239,
162
+ "loss": 1.3576,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.44660194174757284,
167
+ "grad_norm": 0.6363189816474915,
168
+ "learning_rate": 0.00019779225723955707,
169
+ "loss": 1.3159,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.46601941747572817,
174
+ "grad_norm": 0.42140620946884155,
175
+ "learning_rate": 0.00019744105246469263,
176
+ "loss": 1.3072,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.4854368932038835,
181
+ "grad_norm": 0.6757440567016602,
182
+ "learning_rate": 0.00019706429546259593,
183
+ "loss": 1.3261,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.5048543689320388,
188
+ "grad_norm": 0.4116632044315338,
189
+ "learning_rate": 0.00019666208503126112,
190
+ "loss": 1.317,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.5242718446601942,
195
+ "grad_norm": 0.5359898209571838,
196
+ "learning_rate": 0.00019623452664340306,
197
+ "loss": 1.2932,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.5436893203883495,
202
+ "grad_norm": 0.4596949517726898,
203
+ "learning_rate": 0.00019578173241879872,
204
+ "loss": 1.2601,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.5631067961165048,
209
+ "grad_norm": 0.6857442855834961,
210
+ "learning_rate": 0.0001953038210948861,
211
+ "loss": 1.2734,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.5825242718446602,
216
+ "grad_norm": 0.4453957676887512,
217
+ "learning_rate": 0.00019480091799562704,
218
+ "loss": 1.2521,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.6019417475728155,
223
+ "grad_norm": 0.6118847131729126,
224
+ "learning_rate": 0.00019427315499864344,
225
+ "loss": 1.2252,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.6213592233009708,
230
+ "grad_norm": 0.4894339442253113,
231
+ "learning_rate": 0.00019372067050063438,
232
+ "loss": 1.2369,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.6407766990291263,
237
+ "grad_norm": 0.5901785492897034,
238
+ "learning_rate": 0.00019314360938108425,
239
+ "loss": 1.2507,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.6601941747572816,
244
+ "grad_norm": 0.4147897958755493,
245
+ "learning_rate": 0.00019254212296427044,
246
+ "loss": 1.2454,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.6796116504854369,
251
+ "grad_norm": 0.2836126685142517,
252
+ "learning_rate": 0.00019191636897958122,
253
+ "loss": 1.2515,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.6990291262135923,
258
+ "grad_norm": 0.4523944556713104,
259
+ "learning_rate": 0.00019126651152015403,
260
+ "loss": 1.2217,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.7184466019417476,
265
+ "grad_norm": 0.4187013804912567,
266
+ "learning_rate": 0.0001905927209998447,
267
+ "loss": 1.2382,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.7378640776699029,
272
+ "grad_norm": 0.516381561756134,
273
+ "learning_rate": 0.00018989517410853955,
274
+ "loss": 1.2214,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.7572815533980582,
279
+ "grad_norm": 0.5928078889846802,
280
+ "learning_rate": 0.00018917405376582145,
281
+ "loss": 1.2407,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.7766990291262136,
286
+ "grad_norm": 0.4062119722366333,
287
+ "learning_rate": 0.00018842954907300236,
288
+ "loss": 1.1958,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.7961165048543689,
293
+ "grad_norm": 0.5966278910636902,
294
+ "learning_rate": 0.0001876618552635348,
295
+ "loss": 1.2043,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.8155339805825242,
300
+ "grad_norm": 0.47196483612060547,
301
+ "learning_rate": 0.00018687117365181512,
302
+ "loss": 1.2321,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.8349514563106796,
307
+ "grad_norm": 0.6465126872062683,
308
+ "learning_rate": 0.00018605771158039253,
309
+ "loss": 1.1996,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.8543689320388349,
314
+ "grad_norm": 0.4234643578529358,
315
+ "learning_rate": 0.00018522168236559695,
316
+ "loss": 1.198,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.8737864077669902,
321
+ "grad_norm": 0.3910824656486511,
322
+ "learning_rate": 0.00018436330524160047,
323
+ "loss": 1.1895,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.8932038834951457,
328
+ "grad_norm": 0.5380635261535645,
329
+ "learning_rate": 0.00018348280530292713,
330
+ "loss": 1.1693,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.912621359223301,
335
+ "grad_norm": 0.31823453307151794,
336
+ "learning_rate": 0.00018258041344542566,
337
+ "loss": 1.159,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.9320388349514563,
342
+ "grad_norm": 0.5679419636726379,
343
+ "learning_rate": 0.0001816563663057211,
344
+ "loss": 1.1931,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.9514563106796117,
349
+ "grad_norm": 0.3980861008167267,
350
+ "learning_rate": 0.00018071090619916093,
351
+ "loss": 1.1826,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.970873786407767,
356
+ "grad_norm": 0.3688671588897705,
357
+ "learning_rate": 0.00017974428105627208,
358
+ "loss": 1.176,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.9902912621359223,
363
+ "grad_norm": 0.4137047827243805,
364
+ "learning_rate": 0.00017875674435774547,
365
+ "loss": 1.142,
366
+ "step": 51
367
+ }
368
+ ],
369
+ "logging_steps": 1,
370
+ "max_steps": 204,
371
+ "num_input_tokens_seen": 0,
372
+ "num_train_epochs": 4,
373
+ "save_steps": 51,
374
+ "total_flos": 1.0626058999037952e+16,
375
+ "train_batch_size": 2,
376
+ "trial_name": null,
377
+ "trial_params": null
378
+ }
checkpoint-51/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5137d02e04a9e9bac65c98c789ae039033678d1581c7bd7d88ddb181436aa56
3
+ size 5816
config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5632,
14
+ "max_position_embeddings": 4096,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 22,
18
+ "num_key_value_heads": 4,
19
+ "pretraining_tp": 1,
20
+ "quantization_config": {
21
+ "_load_in_4bit": false,
22
+ "_load_in_8bit": true,
23
+ "bnb_4bit_compute_dtype": "float32",
24
+ "bnb_4bit_quant_storage": "uint8",
25
+ "bnb_4bit_quant_type": "fp4",
26
+ "bnb_4bit_use_double_quant": false,
27
+ "llm_int8_enable_fp32_cpu_offload": false,
28
+ "llm_int8_has_fp16_weight": false,
29
+ "llm_int8_skip_modules": null,
30
+ "llm_int8_threshold": 6.0,
31
+ "load_in_4bit": false,
32
+ "load_in_8bit": true,
33
+ "quant_method": "bitsandbytes"
34
+ },
35
+ "rms_norm_eps": 1e-05,
36
+ "rope_scaling": null,
37
+ "rope_theta": 10000.0,
38
+ "tie_word_embeddings": false,
39
+ "torch_dtype": "float32",
40
+ "transformers_version": "4.40.2",
41
+ "use_cache": false,
42
+ "vocab_size": 32000
43
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723