ThilinaGunathilaka commited on
Commit
25103cc
·
verified ·
1 Parent(s): a5b7a2b

Upload folder using huggingface_hub

Browse files
checkpoint-31350/config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Ransaka/sinhala-bert-medium-v2",
3
+ "architectures": [
4
+ "BertForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 786,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 1024,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 256,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 6,
17
+ "num_hidden_layers": 6,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.47.0",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 32000
25
+ }
checkpoint-31350/generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.47.0"
5
+ }
checkpoint-31350/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ad0817b38f7a067e234a9c4ac9a1483e59d73100b5cd4684e280981127e5065
3
+ size 202182680
checkpoint-31350/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:58f50107cab8c8fe502d465b6609db1651d64a1d8ebcf060f5969ca573f8a2c8
3
+ size 404427706
checkpoint-31350/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f33e34f57c3dfd177ffc0b61ce010f0da3fa1a2f4a131f755d497f5b5415949d
3
+ size 14244
checkpoint-31350/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29fdc16fbaa13005c89edbafc02c1ba8a1a12e61e60e8bea63235eca8e56a2ab
3
+ size 1064
checkpoint-31350/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
checkpoint-31350/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-31350/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": false,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "BertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-31350/trainer_state.json ADDED
@@ -0,0 +1,2264 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 31350,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01594896331738437,
13
+ "grad_norm": 793786.1875,
14
+ "learning_rate": 4.9867091972355135e-05,
15
+ "loss": 4.3231,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.03189792663476874,
20
+ "grad_norm": 705751.0625,
21
+ "learning_rate": 4.973418394471026e-05,
22
+ "loss": 4.1867,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.04784688995215311,
27
+ "grad_norm": 761077.1875,
28
+ "learning_rate": 4.9601275917065395e-05,
29
+ "loss": 4.225,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.06379585326953748,
34
+ "grad_norm": 660073.9375,
35
+ "learning_rate": 4.946836788942053e-05,
36
+ "loss": 4.2529,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.07974481658692185,
41
+ "grad_norm": 701404.4375,
42
+ "learning_rate": 4.9335459861775654e-05,
43
+ "loss": 4.2985,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.09569377990430622,
48
+ "grad_norm": 776949.5625,
49
+ "learning_rate": 4.920255183413078e-05,
50
+ "loss": 4.2124,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.11164274322169059,
55
+ "grad_norm": 703487.375,
56
+ "learning_rate": 4.906964380648591e-05,
57
+ "loss": 4.224,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.12759170653907495,
62
+ "grad_norm": 727441.625,
63
+ "learning_rate": 4.893673577884104e-05,
64
+ "loss": 4.3259,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.14354066985645933,
69
+ "grad_norm": 772143.4375,
70
+ "learning_rate": 4.880382775119617e-05,
71
+ "loss": 4.1641,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.1594896331738437,
76
+ "grad_norm": 834641.6875,
77
+ "learning_rate": 4.8670919723551306e-05,
78
+ "loss": 4.2651,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.17543859649122806,
83
+ "grad_norm": 743223.0,
84
+ "learning_rate": 4.853801169590643e-05,
85
+ "loss": 4.1867,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.19138755980861244,
90
+ "grad_norm": 643478.125,
91
+ "learning_rate": 4.8405103668261565e-05,
92
+ "loss": 4.1816,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.20733652312599682,
97
+ "grad_norm": 656405.6875,
98
+ "learning_rate": 4.82721956406167e-05,
99
+ "loss": 4.1677,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.22328548644338117,
104
+ "grad_norm": 714701.3125,
105
+ "learning_rate": 4.813928761297183e-05,
106
+ "loss": 4.1595,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.23923444976076555,
111
+ "grad_norm": 739746.875,
112
+ "learning_rate": 4.800637958532696e-05,
113
+ "loss": 4.1319,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.2551834130781499,
118
+ "grad_norm": 736049.3125,
119
+ "learning_rate": 4.787347155768209e-05,
120
+ "loss": 4.1543,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.2711323763955343,
125
+ "grad_norm": 668736.5,
126
+ "learning_rate": 4.7740563530037217e-05,
127
+ "loss": 4.2052,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.28708133971291866,
132
+ "grad_norm": 655993.0625,
133
+ "learning_rate": 4.760765550239234e-05,
134
+ "loss": 4.1642,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.30303030303030304,
139
+ "grad_norm": 732162.3125,
140
+ "learning_rate": 4.7474747474747476e-05,
141
+ "loss": 4.1464,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.3189792663476874,
146
+ "grad_norm": 687130.875,
147
+ "learning_rate": 4.734183944710261e-05,
148
+ "loss": 4.181,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.3349282296650718,
153
+ "grad_norm": 823373.1875,
154
+ "learning_rate": 4.7208931419457735e-05,
155
+ "loss": 4.1591,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.3508771929824561,
160
+ "grad_norm": 716504.625,
161
+ "learning_rate": 4.707602339181287e-05,
162
+ "loss": 4.1391,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.3668261562998405,
167
+ "grad_norm": 714200.6875,
168
+ "learning_rate": 4.6943115364168e-05,
169
+ "loss": 4.0962,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.3827751196172249,
174
+ "grad_norm": 662553.0,
175
+ "learning_rate": 4.681020733652313e-05,
176
+ "loss": 4.0964,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.39872408293460926,
181
+ "grad_norm": 767714.875,
182
+ "learning_rate": 4.667729930887826e-05,
183
+ "loss": 4.1174,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.41467304625199364,
188
+ "grad_norm": 763852.75,
189
+ "learning_rate": 4.6544391281233393e-05,
190
+ "loss": 4.0442,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.430622009569378,
195
+ "grad_norm": 733045.8125,
196
+ "learning_rate": 4.641148325358852e-05,
197
+ "loss": 4.112,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.44657097288676234,
202
+ "grad_norm": 752065.875,
203
+ "learning_rate": 4.6278575225943646e-05,
204
+ "loss": 4.1223,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.4625199362041467,
209
+ "grad_norm": 675739.8125,
210
+ "learning_rate": 4.614566719829878e-05,
211
+ "loss": 4.1608,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.4784688995215311,
216
+ "grad_norm": 666147.375,
217
+ "learning_rate": 4.6012759170653905e-05,
218
+ "loss": 4.0803,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.4944178628389155,
223
+ "grad_norm": 594287.9375,
224
+ "learning_rate": 4.587985114300904e-05,
225
+ "loss": 4.045,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.5103668261562998,
230
+ "grad_norm": 778230.25,
231
+ "learning_rate": 4.574694311536417e-05,
232
+ "loss": 4.1268,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.5263157894736842,
237
+ "grad_norm": 683312.0625,
238
+ "learning_rate": 4.56140350877193e-05,
239
+ "loss": 4.0424,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.5422647527910686,
244
+ "grad_norm": 640858.25,
245
+ "learning_rate": 4.548112706007443e-05,
246
+ "loss": 4.0235,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.5582137161084529,
251
+ "grad_norm": 680217.875,
252
+ "learning_rate": 4.5348219032429564e-05,
253
+ "loss": 4.1423,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.5741626794258373,
258
+ "grad_norm": 708408.4375,
259
+ "learning_rate": 4.521531100478469e-05,
260
+ "loss": 4.0291,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.5901116427432217,
265
+ "grad_norm": 663333.0,
266
+ "learning_rate": 4.508240297713982e-05,
267
+ "loss": 3.9998,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.6060606060606061,
272
+ "grad_norm": 652592.0,
273
+ "learning_rate": 4.494949494949495e-05,
274
+ "loss": 4.0424,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.6220095693779905,
279
+ "grad_norm": 667416.9375,
280
+ "learning_rate": 4.481658692185008e-05,
281
+ "loss": 4.053,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.6379585326953748,
286
+ "grad_norm": 674108.4375,
287
+ "learning_rate": 4.468367889420521e-05,
288
+ "loss": 4.0748,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.6539074960127592,
293
+ "grad_norm": 714003.625,
294
+ "learning_rate": 4.455077086656034e-05,
295
+ "loss": 3.9807,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.6698564593301436,
300
+ "grad_norm": 693166.4375,
301
+ "learning_rate": 4.4417862838915475e-05,
302
+ "loss": 3.993,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.6858054226475279,
307
+ "grad_norm": 689997.125,
308
+ "learning_rate": 4.42849548112706e-05,
309
+ "loss": 4.0593,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.7017543859649122,
314
+ "grad_norm": 741118.5625,
315
+ "learning_rate": 4.4152046783625734e-05,
316
+ "loss": 4.0409,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.7177033492822966,
321
+ "grad_norm": 668626.9375,
322
+ "learning_rate": 4.401913875598087e-05,
323
+ "loss": 4.06,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 0.733652312599681,
328
+ "grad_norm": 771064.125,
329
+ "learning_rate": 4.388623072833599e-05,
330
+ "loss": 4.0122,
331
+ "step": 4600
332
+ },
333
+ {
334
+ "epoch": 0.7496012759170654,
335
+ "grad_norm": 756131.375,
336
+ "learning_rate": 4.3753322700691126e-05,
337
+ "loss": 4.043,
338
+ "step": 4700
339
+ },
340
+ {
341
+ "epoch": 0.7655502392344498,
342
+ "grad_norm": 737817.5625,
343
+ "learning_rate": 4.362041467304626e-05,
344
+ "loss": 4.0213,
345
+ "step": 4800
346
+ },
347
+ {
348
+ "epoch": 0.7814992025518341,
349
+ "grad_norm": 758023.5625,
350
+ "learning_rate": 4.3487506645401385e-05,
351
+ "loss": 3.9778,
352
+ "step": 4900
353
+ },
354
+ {
355
+ "epoch": 0.7974481658692185,
356
+ "grad_norm": 672895.1875,
357
+ "learning_rate": 4.335459861775651e-05,
358
+ "loss": 4.0434,
359
+ "step": 5000
360
+ },
361
+ {
362
+ "epoch": 0.8133971291866029,
363
+ "grad_norm": 710937.375,
364
+ "learning_rate": 4.3221690590111645e-05,
365
+ "loss": 4.0117,
366
+ "step": 5100
367
+ },
368
+ {
369
+ "epoch": 0.8293460925039873,
370
+ "grad_norm": 773563.875,
371
+ "learning_rate": 4.308878256246677e-05,
372
+ "loss": 4.0516,
373
+ "step": 5200
374
+ },
375
+ {
376
+ "epoch": 0.8452950558213717,
377
+ "grad_norm": 750733.4375,
378
+ "learning_rate": 4.2955874534821904e-05,
379
+ "loss": 3.9798,
380
+ "step": 5300
381
+ },
382
+ {
383
+ "epoch": 0.861244019138756,
384
+ "grad_norm": 706317.3125,
385
+ "learning_rate": 4.282296650717704e-05,
386
+ "loss": 3.9845,
387
+ "step": 5400
388
+ },
389
+ {
390
+ "epoch": 0.8771929824561403,
391
+ "grad_norm": 710855.75,
392
+ "learning_rate": 4.269005847953216e-05,
393
+ "loss": 4.0295,
394
+ "step": 5500
395
+ },
396
+ {
397
+ "epoch": 0.8931419457735247,
398
+ "grad_norm": 712988.9375,
399
+ "learning_rate": 4.2557150451887296e-05,
400
+ "loss": 3.9732,
401
+ "step": 5600
402
+ },
403
+ {
404
+ "epoch": 0.9090909090909091,
405
+ "grad_norm": 628492.75,
406
+ "learning_rate": 4.242424242424243e-05,
407
+ "loss": 4.0012,
408
+ "step": 5700
409
+ },
410
+ {
411
+ "epoch": 0.9250398724082934,
412
+ "grad_norm": 821738.375,
413
+ "learning_rate": 4.2291334396597556e-05,
414
+ "loss": 3.9867,
415
+ "step": 5800
416
+ },
417
+ {
418
+ "epoch": 0.9409888357256778,
419
+ "grad_norm": 720818.125,
420
+ "learning_rate": 4.215842636895269e-05,
421
+ "loss": 3.962,
422
+ "step": 5900
423
+ },
424
+ {
425
+ "epoch": 0.9569377990430622,
426
+ "grad_norm": 698428.0625,
427
+ "learning_rate": 4.2025518341307815e-05,
428
+ "loss": 4.0095,
429
+ "step": 6000
430
+ },
431
+ {
432
+ "epoch": 0.9728867623604466,
433
+ "grad_norm": 769185.75,
434
+ "learning_rate": 4.189261031366295e-05,
435
+ "loss": 3.9469,
436
+ "step": 6100
437
+ },
438
+ {
439
+ "epoch": 0.988835725677831,
440
+ "grad_norm": 706422.25,
441
+ "learning_rate": 4.1759702286018074e-05,
442
+ "loss": 3.9466,
443
+ "step": 6200
444
+ },
445
+ {
446
+ "epoch": 1.0,
447
+ "eval_loss": 3.8981289863586426,
448
+ "eval_runtime": 213.136,
449
+ "eval_samples_per_second": 134.295,
450
+ "eval_steps_per_second": 4.199,
451
+ "step": 6270
452
+ },
453
+ {
454
+ "epoch": 1.0047846889952152,
455
+ "grad_norm": 664245.5,
456
+ "learning_rate": 4.162679425837321e-05,
457
+ "loss": 3.9397,
458
+ "step": 6300
459
+ },
460
+ {
461
+ "epoch": 1.0207336523125996,
462
+ "grad_norm": 790251.5625,
463
+ "learning_rate": 4.149388623072834e-05,
464
+ "loss": 3.7918,
465
+ "step": 6400
466
+ },
467
+ {
468
+ "epoch": 1.036682615629984,
469
+ "grad_norm": 813129.1875,
470
+ "learning_rate": 4.1360978203083467e-05,
471
+ "loss": 3.8563,
472
+ "step": 6500
473
+ },
474
+ {
475
+ "epoch": 1.0526315789473684,
476
+ "grad_norm": 695871.5,
477
+ "learning_rate": 4.12280701754386e-05,
478
+ "loss": 3.959,
479
+ "step": 6600
480
+ },
481
+ {
482
+ "epoch": 1.0685805422647527,
483
+ "grad_norm": 640218.3125,
484
+ "learning_rate": 4.109516214779373e-05,
485
+ "loss": 3.9882,
486
+ "step": 6700
487
+ },
488
+ {
489
+ "epoch": 1.0845295055821371,
490
+ "grad_norm": 709886.125,
491
+ "learning_rate": 4.096225412014886e-05,
492
+ "loss": 3.9328,
493
+ "step": 6800
494
+ },
495
+ {
496
+ "epoch": 1.1004784688995215,
497
+ "grad_norm": 663732.1875,
498
+ "learning_rate": 4.082934609250399e-05,
499
+ "loss": 3.947,
500
+ "step": 6900
501
+ },
502
+ {
503
+ "epoch": 1.1164274322169059,
504
+ "grad_norm": 649781.9375,
505
+ "learning_rate": 4.069643806485912e-05,
506
+ "loss": 3.8735,
507
+ "step": 7000
508
+ },
509
+ {
510
+ "epoch": 1.1323763955342903,
511
+ "grad_norm": 788934.4375,
512
+ "learning_rate": 4.056353003721425e-05,
513
+ "loss": 3.8548,
514
+ "step": 7100
515
+ },
516
+ {
517
+ "epoch": 1.1483253588516746,
518
+ "grad_norm": 688279.3125,
519
+ "learning_rate": 4.043062200956938e-05,
520
+ "loss": 3.8844,
521
+ "step": 7200
522
+ },
523
+ {
524
+ "epoch": 1.164274322169059,
525
+ "grad_norm": 698958.0,
526
+ "learning_rate": 4.029771398192451e-05,
527
+ "loss": 3.878,
528
+ "step": 7300
529
+ },
530
+ {
531
+ "epoch": 1.1802232854864434,
532
+ "grad_norm": 777544.8125,
533
+ "learning_rate": 4.016480595427964e-05,
534
+ "loss": 3.8299,
535
+ "step": 7400
536
+ },
537
+ {
538
+ "epoch": 1.1961722488038278,
539
+ "grad_norm": 768888.3125,
540
+ "learning_rate": 4.003189792663477e-05,
541
+ "loss": 3.859,
542
+ "step": 7500
543
+ },
544
+ {
545
+ "epoch": 1.2121212121212122,
546
+ "grad_norm": 703599.8125,
547
+ "learning_rate": 3.98989898989899e-05,
548
+ "loss": 3.9008,
549
+ "step": 7600
550
+ },
551
+ {
552
+ "epoch": 1.2280701754385965,
553
+ "grad_norm": 684616.75,
554
+ "learning_rate": 3.976608187134503e-05,
555
+ "loss": 3.8917,
556
+ "step": 7700
557
+ },
558
+ {
559
+ "epoch": 1.244019138755981,
560
+ "grad_norm": 754650.9375,
561
+ "learning_rate": 3.963317384370016e-05,
562
+ "loss": 3.7987,
563
+ "step": 7800
564
+ },
565
+ {
566
+ "epoch": 1.2599681020733653,
567
+ "grad_norm": 833289.8125,
568
+ "learning_rate": 3.9500265816055295e-05,
569
+ "loss": 3.8097,
570
+ "step": 7900
571
+ },
572
+ {
573
+ "epoch": 1.2759170653907497,
574
+ "grad_norm": 712939.125,
575
+ "learning_rate": 3.936735778841042e-05,
576
+ "loss": 3.91,
577
+ "step": 8000
578
+ },
579
+ {
580
+ "epoch": 1.291866028708134,
581
+ "grad_norm": 691034.4375,
582
+ "learning_rate": 3.9234449760765554e-05,
583
+ "loss": 3.8607,
584
+ "step": 8100
585
+ },
586
+ {
587
+ "epoch": 1.3078149920255182,
588
+ "grad_norm": 777656.1875,
589
+ "learning_rate": 3.910154173312068e-05,
590
+ "loss": 3.8294,
591
+ "step": 8200
592
+ },
593
+ {
594
+ "epoch": 1.3237639553429026,
595
+ "grad_norm": 779268.6875,
596
+ "learning_rate": 3.896863370547581e-05,
597
+ "loss": 3.839,
598
+ "step": 8300
599
+ },
600
+ {
601
+ "epoch": 1.339712918660287,
602
+ "grad_norm": 737519.0,
603
+ "learning_rate": 3.883572567783094e-05,
604
+ "loss": 3.8773,
605
+ "step": 8400
606
+ },
607
+ {
608
+ "epoch": 1.3556618819776713,
609
+ "grad_norm": 722279.3125,
610
+ "learning_rate": 3.870281765018607e-05,
611
+ "loss": 3.8351,
612
+ "step": 8500
613
+ },
614
+ {
615
+ "epoch": 1.3716108452950557,
616
+ "grad_norm": 763525.9375,
617
+ "learning_rate": 3.8569909622541206e-05,
618
+ "loss": 3.8517,
619
+ "step": 8600
620
+ },
621
+ {
622
+ "epoch": 1.38755980861244,
623
+ "grad_norm": 715289.3125,
624
+ "learning_rate": 3.843700159489633e-05,
625
+ "loss": 3.8272,
626
+ "step": 8700
627
+ },
628
+ {
629
+ "epoch": 1.4035087719298245,
630
+ "grad_norm": 656186.625,
631
+ "learning_rate": 3.8304093567251465e-05,
632
+ "loss": 3.8894,
633
+ "step": 8800
634
+ },
635
+ {
636
+ "epoch": 1.4194577352472089,
637
+ "grad_norm": 756528.875,
638
+ "learning_rate": 3.81711855396066e-05,
639
+ "loss": 3.8387,
640
+ "step": 8900
641
+ },
642
+ {
643
+ "epoch": 1.4354066985645932,
644
+ "grad_norm": 716015.0,
645
+ "learning_rate": 3.8038277511961725e-05,
646
+ "loss": 3.7842,
647
+ "step": 9000
648
+ },
649
+ {
650
+ "epoch": 1.4513556618819776,
651
+ "grad_norm": 721006.3125,
652
+ "learning_rate": 3.790536948431686e-05,
653
+ "loss": 3.7769,
654
+ "step": 9100
655
+ },
656
+ {
657
+ "epoch": 1.467304625199362,
658
+ "grad_norm": 800538.1875,
659
+ "learning_rate": 3.7772461456671984e-05,
660
+ "loss": 3.8393,
661
+ "step": 9200
662
+ },
663
+ {
664
+ "epoch": 1.4832535885167464,
665
+ "grad_norm": 699156.0,
666
+ "learning_rate": 3.763955342902711e-05,
667
+ "loss": 3.7527,
668
+ "step": 9300
669
+ },
670
+ {
671
+ "epoch": 1.4992025518341308,
672
+ "grad_norm": 699306.375,
673
+ "learning_rate": 3.750664540138224e-05,
674
+ "loss": 3.8306,
675
+ "step": 9400
676
+ },
677
+ {
678
+ "epoch": 1.5151515151515151,
679
+ "grad_norm": 689892.5,
680
+ "learning_rate": 3.7373737373737376e-05,
681
+ "loss": 3.8582,
682
+ "step": 9500
683
+ },
684
+ {
685
+ "epoch": 1.5311004784688995,
686
+ "grad_norm": 712134.3125,
687
+ "learning_rate": 3.72408293460925e-05,
688
+ "loss": 3.9048,
689
+ "step": 9600
690
+ },
691
+ {
692
+ "epoch": 1.547049441786284,
693
+ "grad_norm": 611158.625,
694
+ "learning_rate": 3.7107921318447635e-05,
695
+ "loss": 3.8315,
696
+ "step": 9700
697
+ },
698
+ {
699
+ "epoch": 1.5629984051036683,
700
+ "grad_norm": 814951.875,
701
+ "learning_rate": 3.697501329080277e-05,
702
+ "loss": 3.8433,
703
+ "step": 9800
704
+ },
705
+ {
706
+ "epoch": 1.5789473684210527,
707
+ "grad_norm": 638232.25,
708
+ "learning_rate": 3.6842105263157895e-05,
709
+ "loss": 3.8697,
710
+ "step": 9900
711
+ },
712
+ {
713
+ "epoch": 1.594896331738437,
714
+ "grad_norm": 717277.8125,
715
+ "learning_rate": 3.670919723551303e-05,
716
+ "loss": 3.8447,
717
+ "step": 10000
718
+ },
719
+ {
720
+ "epoch": 1.6108452950558214,
721
+ "grad_norm": 623000.1875,
722
+ "learning_rate": 3.657628920786816e-05,
723
+ "loss": 3.9104,
724
+ "step": 10100
725
+ },
726
+ {
727
+ "epoch": 1.6267942583732058,
728
+ "grad_norm": 737050.875,
729
+ "learning_rate": 3.644338118022329e-05,
730
+ "loss": 3.8208,
731
+ "step": 10200
732
+ },
733
+ {
734
+ "epoch": 1.6427432216905902,
735
+ "grad_norm": 766050.0,
736
+ "learning_rate": 3.631047315257842e-05,
737
+ "loss": 3.8454,
738
+ "step": 10300
739
+ },
740
+ {
741
+ "epoch": 1.6586921850079746,
742
+ "grad_norm": 681873.25,
743
+ "learning_rate": 3.6177565124933546e-05,
744
+ "loss": 3.8284,
745
+ "step": 10400
746
+ },
747
+ {
748
+ "epoch": 1.674641148325359,
749
+ "grad_norm": 636321.0625,
750
+ "learning_rate": 3.604465709728867e-05,
751
+ "loss": 3.8191,
752
+ "step": 10500
753
+ },
754
+ {
755
+ "epoch": 1.6905901116427433,
756
+ "grad_norm": 751694.875,
757
+ "learning_rate": 3.5911749069643806e-05,
758
+ "loss": 3.8152,
759
+ "step": 10600
760
+ },
761
+ {
762
+ "epoch": 1.7065390749601277,
763
+ "grad_norm": 779390.25,
764
+ "learning_rate": 3.577884104199894e-05,
765
+ "loss": 3.8235,
766
+ "step": 10700
767
+ },
768
+ {
769
+ "epoch": 1.722488038277512,
770
+ "grad_norm": 780193.4375,
771
+ "learning_rate": 3.5645933014354065e-05,
772
+ "loss": 3.8109,
773
+ "step": 10800
774
+ },
775
+ {
776
+ "epoch": 1.7384370015948964,
777
+ "grad_norm": 678532.75,
778
+ "learning_rate": 3.55130249867092e-05,
779
+ "loss": 3.8017,
780
+ "step": 10900
781
+ },
782
+ {
783
+ "epoch": 1.7543859649122808,
784
+ "grad_norm": 733045.375,
785
+ "learning_rate": 3.538011695906433e-05,
786
+ "loss": 3.8518,
787
+ "step": 11000
788
+ },
789
+ {
790
+ "epoch": 1.7703349282296652,
791
+ "grad_norm": 646417.375,
792
+ "learning_rate": 3.5247208931419464e-05,
793
+ "loss": 3.7623,
794
+ "step": 11100
795
+ },
796
+ {
797
+ "epoch": 1.7862838915470496,
798
+ "grad_norm": 641868.25,
799
+ "learning_rate": 3.511430090377459e-05,
800
+ "loss": 3.7536,
801
+ "step": 11200
802
+ },
803
+ {
804
+ "epoch": 1.802232854864434,
805
+ "grad_norm": 743804.375,
806
+ "learning_rate": 3.498139287612972e-05,
807
+ "loss": 3.8056,
808
+ "step": 11300
809
+ },
810
+ {
811
+ "epoch": 1.8181818181818183,
812
+ "grad_norm": 725540.5625,
813
+ "learning_rate": 3.484848484848485e-05,
814
+ "loss": 3.8078,
815
+ "step": 11400
816
+ },
817
+ {
818
+ "epoch": 1.8341307814992025,
819
+ "grad_norm": 735264.125,
820
+ "learning_rate": 3.4715576820839976e-05,
821
+ "loss": 3.8247,
822
+ "step": 11500
823
+ },
824
+ {
825
+ "epoch": 1.8500797448165869,
826
+ "grad_norm": 708785.5625,
827
+ "learning_rate": 3.458266879319511e-05,
828
+ "loss": 3.7898,
829
+ "step": 11600
830
+ },
831
+ {
832
+ "epoch": 1.8660287081339713,
833
+ "grad_norm": 864416.3125,
834
+ "learning_rate": 3.444976076555024e-05,
835
+ "loss": 3.8642,
836
+ "step": 11700
837
+ },
838
+ {
839
+ "epoch": 1.8819776714513556,
840
+ "grad_norm": 693382.5625,
841
+ "learning_rate": 3.431685273790537e-05,
842
+ "loss": 3.7433,
843
+ "step": 11800
844
+ },
845
+ {
846
+ "epoch": 1.89792663476874,
847
+ "grad_norm": 841755.25,
848
+ "learning_rate": 3.41839447102605e-05,
849
+ "loss": 3.8562,
850
+ "step": 11900
851
+ },
852
+ {
853
+ "epoch": 1.9138755980861244,
854
+ "grad_norm": 662765.125,
855
+ "learning_rate": 3.4051036682615634e-05,
856
+ "loss": 3.8703,
857
+ "step": 12000
858
+ },
859
+ {
860
+ "epoch": 1.9298245614035088,
861
+ "grad_norm": 707709.75,
862
+ "learning_rate": 3.391812865497076e-05,
863
+ "loss": 3.8402,
864
+ "step": 12100
865
+ },
866
+ {
867
+ "epoch": 1.9457735247208932,
868
+ "grad_norm": 616722.875,
869
+ "learning_rate": 3.3785220627325893e-05,
870
+ "loss": 3.8432,
871
+ "step": 12200
872
+ },
873
+ {
874
+ "epoch": 1.9617224880382775,
875
+ "grad_norm": 795238.625,
876
+ "learning_rate": 3.3652312599681026e-05,
877
+ "loss": 3.7319,
878
+ "step": 12300
879
+ },
880
+ {
881
+ "epoch": 1.977671451355662,
882
+ "grad_norm": 709130.0,
883
+ "learning_rate": 3.351940457203615e-05,
884
+ "loss": 3.7628,
885
+ "step": 12400
886
+ },
887
+ {
888
+ "epoch": 1.9936204146730463,
889
+ "grad_norm": 789321.375,
890
+ "learning_rate": 3.3386496544391286e-05,
891
+ "loss": 3.7821,
892
+ "step": 12500
893
+ },
894
+ {
895
+ "epoch": 2.0,
896
+ "eval_loss": 3.800079584121704,
897
+ "eval_runtime": 212.9573,
898
+ "eval_samples_per_second": 134.407,
899
+ "eval_steps_per_second": 4.203,
900
+ "step": 12540
901
+ },
902
+ {
903
+ "epoch": 2.0095693779904304,
904
+ "grad_norm": 862786.0,
905
+ "learning_rate": 3.325358851674641e-05,
906
+ "loss": 3.7512,
907
+ "step": 12600
908
+ },
909
+ {
910
+ "epoch": 2.025518341307815,
911
+ "grad_norm": 772642.5625,
912
+ "learning_rate": 3.312068048910154e-05,
913
+ "loss": 3.6611,
914
+ "step": 12700
915
+ },
916
+ {
917
+ "epoch": 2.041467304625199,
918
+ "grad_norm": 706907.1875,
919
+ "learning_rate": 3.298777246145667e-05,
920
+ "loss": 3.7484,
921
+ "step": 12800
922
+ },
923
+ {
924
+ "epoch": 2.0574162679425836,
925
+ "grad_norm": 940896.375,
926
+ "learning_rate": 3.2854864433811804e-05,
927
+ "loss": 3.7545,
928
+ "step": 12900
929
+ },
930
+ {
931
+ "epoch": 2.073365231259968,
932
+ "grad_norm": 670013.875,
933
+ "learning_rate": 3.272195640616693e-05,
934
+ "loss": 3.6504,
935
+ "step": 13000
936
+ },
937
+ {
938
+ "epoch": 2.0893141945773523,
939
+ "grad_norm": 702168.0,
940
+ "learning_rate": 3.2589048378522064e-05,
941
+ "loss": 3.6133,
942
+ "step": 13100
943
+ },
944
+ {
945
+ "epoch": 2.1052631578947367,
946
+ "grad_norm": 741310.75,
947
+ "learning_rate": 3.24561403508772e-05,
948
+ "loss": 3.7202,
949
+ "step": 13200
950
+ },
951
+ {
952
+ "epoch": 2.121212121212121,
953
+ "grad_norm": 630812.625,
954
+ "learning_rate": 3.232323232323233e-05,
955
+ "loss": 3.7131,
956
+ "step": 13300
957
+ },
958
+ {
959
+ "epoch": 2.1371610845295055,
960
+ "grad_norm": 736768.125,
961
+ "learning_rate": 3.2190324295587456e-05,
962
+ "loss": 3.6982,
963
+ "step": 13400
964
+ },
965
+ {
966
+ "epoch": 2.15311004784689,
967
+ "grad_norm": 743122.8125,
968
+ "learning_rate": 3.205741626794259e-05,
969
+ "loss": 3.7196,
970
+ "step": 13500
971
+ },
972
+ {
973
+ "epoch": 2.1690590111642742,
974
+ "grad_norm": 685713.25,
975
+ "learning_rate": 3.1924508240297715e-05,
976
+ "loss": 3.7312,
977
+ "step": 13600
978
+ },
979
+ {
980
+ "epoch": 2.1850079744816586,
981
+ "grad_norm": 829695.75,
982
+ "learning_rate": 3.179160021265284e-05,
983
+ "loss": 3.6914,
984
+ "step": 13700
985
+ },
986
+ {
987
+ "epoch": 2.200956937799043,
988
+ "grad_norm": 640866.6875,
989
+ "learning_rate": 3.1658692185007975e-05,
990
+ "loss": 3.8376,
991
+ "step": 13800
992
+ },
993
+ {
994
+ "epoch": 2.2169059011164274,
995
+ "grad_norm": 705478.25,
996
+ "learning_rate": 3.152578415736311e-05,
997
+ "loss": 3.7294,
998
+ "step": 13900
999
+ },
1000
+ {
1001
+ "epoch": 2.2328548644338118,
1002
+ "grad_norm": 664668.8125,
1003
+ "learning_rate": 3.1392876129718234e-05,
1004
+ "loss": 3.7046,
1005
+ "step": 14000
1006
+ },
1007
+ {
1008
+ "epoch": 2.248803827751196,
1009
+ "grad_norm": 653658.25,
1010
+ "learning_rate": 3.125996810207337e-05,
1011
+ "loss": 3.7142,
1012
+ "step": 14100
1013
+ },
1014
+ {
1015
+ "epoch": 2.2647527910685805,
1016
+ "grad_norm": 737460.0625,
1017
+ "learning_rate": 3.11270600744285e-05,
1018
+ "loss": 3.6449,
1019
+ "step": 14200
1020
+ },
1021
+ {
1022
+ "epoch": 2.280701754385965,
1023
+ "grad_norm": 657366.8125,
1024
+ "learning_rate": 3.0994152046783626e-05,
1025
+ "loss": 3.7051,
1026
+ "step": 14300
1027
+ },
1028
+ {
1029
+ "epoch": 2.2966507177033493,
1030
+ "grad_norm": 734922.0625,
1031
+ "learning_rate": 3.086124401913876e-05,
1032
+ "loss": 3.6793,
1033
+ "step": 14400
1034
+ },
1035
+ {
1036
+ "epoch": 2.3125996810207337,
1037
+ "grad_norm": 636888.125,
1038
+ "learning_rate": 3.072833599149389e-05,
1039
+ "loss": 3.764,
1040
+ "step": 14500
1041
+ },
1042
+ {
1043
+ "epoch": 2.328548644338118,
1044
+ "grad_norm": 776567.125,
1045
+ "learning_rate": 3.059542796384902e-05,
1046
+ "loss": 3.6952,
1047
+ "step": 14600
1048
+ },
1049
+ {
1050
+ "epoch": 2.3444976076555024,
1051
+ "grad_norm": 678031.5,
1052
+ "learning_rate": 3.0462519936204148e-05,
1053
+ "loss": 3.7086,
1054
+ "step": 14700
1055
+ },
1056
+ {
1057
+ "epoch": 2.360446570972887,
1058
+ "grad_norm": 702883.9375,
1059
+ "learning_rate": 3.032961190855928e-05,
1060
+ "loss": 3.6974,
1061
+ "step": 14800
1062
+ },
1063
+ {
1064
+ "epoch": 2.376395534290271,
1065
+ "grad_norm": 640335.375,
1066
+ "learning_rate": 3.0196703880914407e-05,
1067
+ "loss": 3.6555,
1068
+ "step": 14900
1069
+ },
1070
+ {
1071
+ "epoch": 2.3923444976076556,
1072
+ "grad_norm": 686070.0625,
1073
+ "learning_rate": 3.0063795853269537e-05,
1074
+ "loss": 3.7167,
1075
+ "step": 15000
1076
+ },
1077
+ {
1078
+ "epoch": 2.40829346092504,
1079
+ "grad_norm": 676044.25,
1080
+ "learning_rate": 2.993088782562467e-05,
1081
+ "loss": 3.6554,
1082
+ "step": 15100
1083
+ },
1084
+ {
1085
+ "epoch": 2.4242424242424243,
1086
+ "grad_norm": 767818.6875,
1087
+ "learning_rate": 2.9797979797979796e-05,
1088
+ "loss": 3.693,
1089
+ "step": 15200
1090
+ },
1091
+ {
1092
+ "epoch": 2.4401913875598087,
1093
+ "grad_norm": 739911.0625,
1094
+ "learning_rate": 2.966507177033493e-05,
1095
+ "loss": 3.6431,
1096
+ "step": 15300
1097
+ },
1098
+ {
1099
+ "epoch": 2.456140350877193,
1100
+ "grad_norm": 771256.3125,
1101
+ "learning_rate": 2.9532163742690062e-05,
1102
+ "loss": 3.6216,
1103
+ "step": 15400
1104
+ },
1105
+ {
1106
+ "epoch": 2.4720893141945774,
1107
+ "grad_norm": 773173.375,
1108
+ "learning_rate": 2.939925571504519e-05,
1109
+ "loss": 3.7742,
1110
+ "step": 15500
1111
+ },
1112
+ {
1113
+ "epoch": 2.488038277511962,
1114
+ "grad_norm": 762888.3125,
1115
+ "learning_rate": 2.9266347687400318e-05,
1116
+ "loss": 3.7236,
1117
+ "step": 15600
1118
+ },
1119
+ {
1120
+ "epoch": 2.503987240829346,
1121
+ "grad_norm": 879857.0625,
1122
+ "learning_rate": 2.913343965975545e-05,
1123
+ "loss": 3.7253,
1124
+ "step": 15700
1125
+ },
1126
+ {
1127
+ "epoch": 2.5199362041467306,
1128
+ "grad_norm": 733285.0625,
1129
+ "learning_rate": 2.9000531632110584e-05,
1130
+ "loss": 3.7166,
1131
+ "step": 15800
1132
+ },
1133
+ {
1134
+ "epoch": 2.535885167464115,
1135
+ "grad_norm": 833014.3125,
1136
+ "learning_rate": 2.886762360446571e-05,
1137
+ "loss": 3.6705,
1138
+ "step": 15900
1139
+ },
1140
+ {
1141
+ "epoch": 2.5518341307814993,
1142
+ "grad_norm": 736943.4375,
1143
+ "learning_rate": 2.8734715576820844e-05,
1144
+ "loss": 3.7253,
1145
+ "step": 16000
1146
+ },
1147
+ {
1148
+ "epoch": 2.5677830940988837,
1149
+ "grad_norm": 708644.4375,
1150
+ "learning_rate": 2.8601807549175973e-05,
1151
+ "loss": 3.6672,
1152
+ "step": 16100
1153
+ },
1154
+ {
1155
+ "epoch": 2.583732057416268,
1156
+ "grad_norm": 795735.8125,
1157
+ "learning_rate": 2.84688995215311e-05,
1158
+ "loss": 3.728,
1159
+ "step": 16200
1160
+ },
1161
+ {
1162
+ "epoch": 2.5996810207336525,
1163
+ "grad_norm": 864533.875,
1164
+ "learning_rate": 2.8335991493886233e-05,
1165
+ "loss": 3.6478,
1166
+ "step": 16300
1167
+ },
1168
+ {
1169
+ "epoch": 2.6156299840510364,
1170
+ "grad_norm": 835745.0,
1171
+ "learning_rate": 2.8203083466241366e-05,
1172
+ "loss": 3.6204,
1173
+ "step": 16400
1174
+ },
1175
+ {
1176
+ "epoch": 2.6315789473684212,
1177
+ "grad_norm": 726415.3125,
1178
+ "learning_rate": 2.8070175438596492e-05,
1179
+ "loss": 3.6899,
1180
+ "step": 16500
1181
+ },
1182
+ {
1183
+ "epoch": 2.647527910685805,
1184
+ "grad_norm": 619188.1875,
1185
+ "learning_rate": 2.793726741095162e-05,
1186
+ "loss": 3.6442,
1187
+ "step": 16600
1188
+ },
1189
+ {
1190
+ "epoch": 2.66347687400319,
1191
+ "grad_norm": 704278.1875,
1192
+ "learning_rate": 2.7804359383306755e-05,
1193
+ "loss": 3.7113,
1194
+ "step": 16700
1195
+ },
1196
+ {
1197
+ "epoch": 2.679425837320574,
1198
+ "grad_norm": 787753.0,
1199
+ "learning_rate": 2.767145135566188e-05,
1200
+ "loss": 3.7368,
1201
+ "step": 16800
1202
+ },
1203
+ {
1204
+ "epoch": 2.6953748006379588,
1205
+ "grad_norm": 738743.5625,
1206
+ "learning_rate": 2.7538543328017014e-05,
1207
+ "loss": 3.7575,
1208
+ "step": 16900
1209
+ },
1210
+ {
1211
+ "epoch": 2.7113237639553427,
1212
+ "grad_norm": 797812.75,
1213
+ "learning_rate": 2.7405635300372147e-05,
1214
+ "loss": 3.6586,
1215
+ "step": 17000
1216
+ },
1217
+ {
1218
+ "epoch": 2.7272727272727275,
1219
+ "grad_norm": 662883.0,
1220
+ "learning_rate": 2.7272727272727273e-05,
1221
+ "loss": 3.6812,
1222
+ "step": 17100
1223
+ },
1224
+ {
1225
+ "epoch": 2.7432216905901115,
1226
+ "grad_norm": 708693.8125,
1227
+ "learning_rate": 2.7139819245082403e-05,
1228
+ "loss": 3.6645,
1229
+ "step": 17200
1230
+ },
1231
+ {
1232
+ "epoch": 2.7591706539074963,
1233
+ "grad_norm": 750630.625,
1234
+ "learning_rate": 2.7006911217437536e-05,
1235
+ "loss": 3.659,
1236
+ "step": 17300
1237
+ },
1238
+ {
1239
+ "epoch": 2.77511961722488,
1240
+ "grad_norm": 743643.5625,
1241
+ "learning_rate": 2.6874003189792662e-05,
1242
+ "loss": 3.6794,
1243
+ "step": 17400
1244
+ },
1245
+ {
1246
+ "epoch": 2.7910685805422646,
1247
+ "grad_norm": 683095.9375,
1248
+ "learning_rate": 2.6741095162147795e-05,
1249
+ "loss": 3.6587,
1250
+ "step": 17500
1251
+ },
1252
+ {
1253
+ "epoch": 2.807017543859649,
1254
+ "grad_norm": 659289.8125,
1255
+ "learning_rate": 2.6608187134502928e-05,
1256
+ "loss": 3.7067,
1257
+ "step": 17600
1258
+ },
1259
+ {
1260
+ "epoch": 2.8229665071770333,
1261
+ "grad_norm": 722875.9375,
1262
+ "learning_rate": 2.6475279106858054e-05,
1263
+ "loss": 3.6918,
1264
+ "step": 17700
1265
+ },
1266
+ {
1267
+ "epoch": 2.8389154704944177,
1268
+ "grad_norm": 643060.4375,
1269
+ "learning_rate": 2.6342371079213184e-05,
1270
+ "loss": 3.694,
1271
+ "step": 17800
1272
+ },
1273
+ {
1274
+ "epoch": 2.854864433811802,
1275
+ "grad_norm": 811117.3125,
1276
+ "learning_rate": 2.6209463051568317e-05,
1277
+ "loss": 3.703,
1278
+ "step": 17900
1279
+ },
1280
+ {
1281
+ "epoch": 2.8708133971291865,
1282
+ "grad_norm": 835076.6875,
1283
+ "learning_rate": 2.6076555023923443e-05,
1284
+ "loss": 3.6346,
1285
+ "step": 18000
1286
+ },
1287
+ {
1288
+ "epoch": 2.886762360446571,
1289
+ "grad_norm": 800111.875,
1290
+ "learning_rate": 2.5943646996278576e-05,
1291
+ "loss": 3.6589,
1292
+ "step": 18100
1293
+ },
1294
+ {
1295
+ "epoch": 2.9027113237639552,
1296
+ "grad_norm": 726367.5,
1297
+ "learning_rate": 2.5810738968633706e-05,
1298
+ "loss": 3.6522,
1299
+ "step": 18200
1300
+ },
1301
+ {
1302
+ "epoch": 2.9186602870813396,
1303
+ "grad_norm": 717922.25,
1304
+ "learning_rate": 2.567783094098884e-05,
1305
+ "loss": 3.6592,
1306
+ "step": 18300
1307
+ },
1308
+ {
1309
+ "epoch": 2.934609250398724,
1310
+ "grad_norm": 841302.0625,
1311
+ "learning_rate": 2.5544922913343965e-05,
1312
+ "loss": 3.688,
1313
+ "step": 18400
1314
+ },
1315
+ {
1316
+ "epoch": 2.9505582137161084,
1317
+ "grad_norm": 697304.1875,
1318
+ "learning_rate": 2.5412014885699098e-05,
1319
+ "loss": 3.6017,
1320
+ "step": 18500
1321
+ },
1322
+ {
1323
+ "epoch": 2.9665071770334928,
1324
+ "grad_norm": 929050.25,
1325
+ "learning_rate": 2.527910685805423e-05,
1326
+ "loss": 3.6116,
1327
+ "step": 18600
1328
+ },
1329
+ {
1330
+ "epoch": 2.982456140350877,
1331
+ "grad_norm": 699048.9375,
1332
+ "learning_rate": 2.5146198830409358e-05,
1333
+ "loss": 3.6474,
1334
+ "step": 18700
1335
+ },
1336
+ {
1337
+ "epoch": 2.9984051036682615,
1338
+ "grad_norm": 783686.0625,
1339
+ "learning_rate": 2.5013290802764487e-05,
1340
+ "loss": 3.6783,
1341
+ "step": 18800
1342
+ },
1343
+ {
1344
+ "epoch": 3.0,
1345
+ "eval_loss": 3.706315755844116,
1346
+ "eval_runtime": 212.8533,
1347
+ "eval_samples_per_second": 134.473,
1348
+ "eval_steps_per_second": 4.205,
1349
+ "step": 18810
1350
+ },
1351
+ {
1352
+ "epoch": 3.014354066985646,
1353
+ "grad_norm": 709059.3125,
1354
+ "learning_rate": 2.4880382775119617e-05,
1355
+ "loss": 3.5423,
1356
+ "step": 18900
1357
+ },
1358
+ {
1359
+ "epoch": 3.0303030303030303,
1360
+ "grad_norm": 655684.75,
1361
+ "learning_rate": 2.474747474747475e-05,
1362
+ "loss": 3.5606,
1363
+ "step": 19000
1364
+ },
1365
+ {
1366
+ "epoch": 3.0462519936204147,
1367
+ "grad_norm": 759915.1875,
1368
+ "learning_rate": 2.461456671982988e-05,
1369
+ "loss": 3.6979,
1370
+ "step": 19100
1371
+ },
1372
+ {
1373
+ "epoch": 3.062200956937799,
1374
+ "grad_norm": 835860.375,
1375
+ "learning_rate": 2.448165869218501e-05,
1376
+ "loss": 3.6324,
1377
+ "step": 19200
1378
+ },
1379
+ {
1380
+ "epoch": 3.0781499202551834,
1381
+ "grad_norm": 675779.5625,
1382
+ "learning_rate": 2.434875066454014e-05,
1383
+ "loss": 3.5773,
1384
+ "step": 19300
1385
+ },
1386
+ {
1387
+ "epoch": 3.094098883572568,
1388
+ "grad_norm": 700443.875,
1389
+ "learning_rate": 2.421584263689527e-05,
1390
+ "loss": 3.6309,
1391
+ "step": 19400
1392
+ },
1393
+ {
1394
+ "epoch": 3.110047846889952,
1395
+ "grad_norm": 768801.6875,
1396
+ "learning_rate": 2.4082934609250398e-05,
1397
+ "loss": 3.639,
1398
+ "step": 19500
1399
+ },
1400
+ {
1401
+ "epoch": 3.1259968102073366,
1402
+ "grad_norm": 705109.6875,
1403
+ "learning_rate": 2.395002658160553e-05,
1404
+ "loss": 3.6365,
1405
+ "step": 19600
1406
+ },
1407
+ {
1408
+ "epoch": 3.141945773524721,
1409
+ "grad_norm": 661887.5,
1410
+ "learning_rate": 2.381711855396066e-05,
1411
+ "loss": 3.5754,
1412
+ "step": 19700
1413
+ },
1414
+ {
1415
+ "epoch": 3.1578947368421053,
1416
+ "grad_norm": 691131.0,
1417
+ "learning_rate": 2.368421052631579e-05,
1418
+ "loss": 3.5888,
1419
+ "step": 19800
1420
+ },
1421
+ {
1422
+ "epoch": 3.1738437001594897,
1423
+ "grad_norm": 738841.625,
1424
+ "learning_rate": 2.355130249867092e-05,
1425
+ "loss": 3.6433,
1426
+ "step": 19900
1427
+ },
1428
+ {
1429
+ "epoch": 3.189792663476874,
1430
+ "grad_norm": 663372.1875,
1431
+ "learning_rate": 2.341839447102605e-05,
1432
+ "loss": 3.5642,
1433
+ "step": 20000
1434
+ },
1435
+ {
1436
+ "epoch": 3.2057416267942584,
1437
+ "grad_norm": 619548.75,
1438
+ "learning_rate": 2.3285486443381183e-05,
1439
+ "loss": 3.5864,
1440
+ "step": 20100
1441
+ },
1442
+ {
1443
+ "epoch": 3.221690590111643,
1444
+ "grad_norm": 773919.6875,
1445
+ "learning_rate": 2.3152578415736312e-05,
1446
+ "loss": 3.6072,
1447
+ "step": 20200
1448
+ },
1449
+ {
1450
+ "epoch": 3.237639553429027,
1451
+ "grad_norm": 728946.0625,
1452
+ "learning_rate": 2.3019670388091442e-05,
1453
+ "loss": 3.6212,
1454
+ "step": 20300
1455
+ },
1456
+ {
1457
+ "epoch": 3.2535885167464116,
1458
+ "grad_norm": 659326.9375,
1459
+ "learning_rate": 2.288676236044657e-05,
1460
+ "loss": 3.6068,
1461
+ "step": 20400
1462
+ },
1463
+ {
1464
+ "epoch": 3.269537480063796,
1465
+ "grad_norm": 759802.25,
1466
+ "learning_rate": 2.27538543328017e-05,
1467
+ "loss": 3.6783,
1468
+ "step": 20500
1469
+ },
1470
+ {
1471
+ "epoch": 3.2854864433811803,
1472
+ "grad_norm": 805141.9375,
1473
+ "learning_rate": 2.262094630515683e-05,
1474
+ "loss": 3.6441,
1475
+ "step": 20600
1476
+ },
1477
+ {
1478
+ "epoch": 3.3014354066985647,
1479
+ "grad_norm": 716521.875,
1480
+ "learning_rate": 2.2488038277511964e-05,
1481
+ "loss": 3.5748,
1482
+ "step": 20700
1483
+ },
1484
+ {
1485
+ "epoch": 3.317384370015949,
1486
+ "grad_norm": 920115.4375,
1487
+ "learning_rate": 2.2355130249867094e-05,
1488
+ "loss": 3.5985,
1489
+ "step": 20800
1490
+ },
1491
+ {
1492
+ "epoch": 3.3333333333333335,
1493
+ "grad_norm": 838658.0625,
1494
+ "learning_rate": 2.2222222222222223e-05,
1495
+ "loss": 3.564,
1496
+ "step": 20900
1497
+ },
1498
+ {
1499
+ "epoch": 3.349282296650718,
1500
+ "grad_norm": 838474.9375,
1501
+ "learning_rate": 2.2089314194577353e-05,
1502
+ "loss": 3.5875,
1503
+ "step": 21000
1504
+ },
1505
+ {
1506
+ "epoch": 3.3652312599681022,
1507
+ "grad_norm": 663992.25,
1508
+ "learning_rate": 2.1956406166932483e-05,
1509
+ "loss": 3.5681,
1510
+ "step": 21100
1511
+ },
1512
+ {
1513
+ "epoch": 3.3811802232854866,
1514
+ "grad_norm": 679489.9375,
1515
+ "learning_rate": 2.1823498139287616e-05,
1516
+ "loss": 3.5276,
1517
+ "step": 21200
1518
+ },
1519
+ {
1520
+ "epoch": 3.397129186602871,
1521
+ "grad_norm": 721495.6875,
1522
+ "learning_rate": 2.1690590111642745e-05,
1523
+ "loss": 3.5599,
1524
+ "step": 21300
1525
+ },
1526
+ {
1527
+ "epoch": 3.4130781499202554,
1528
+ "grad_norm": 667400.9375,
1529
+ "learning_rate": 2.1557682083997875e-05,
1530
+ "loss": 3.5554,
1531
+ "step": 21400
1532
+ },
1533
+ {
1534
+ "epoch": 3.4290271132376393,
1535
+ "grad_norm": 706122.0,
1536
+ "learning_rate": 2.1424774056353005e-05,
1537
+ "loss": 3.6543,
1538
+ "step": 21500
1539
+ },
1540
+ {
1541
+ "epoch": 3.444976076555024,
1542
+ "grad_norm": 709513.125,
1543
+ "learning_rate": 2.1291866028708134e-05,
1544
+ "loss": 3.6568,
1545
+ "step": 21600
1546
+ },
1547
+ {
1548
+ "epoch": 3.460925039872408,
1549
+ "grad_norm": 652669.375,
1550
+ "learning_rate": 2.1158958001063264e-05,
1551
+ "loss": 3.6423,
1552
+ "step": 21700
1553
+ },
1554
+ {
1555
+ "epoch": 3.476874003189793,
1556
+ "grad_norm": 713371.625,
1557
+ "learning_rate": 2.1026049973418397e-05,
1558
+ "loss": 3.6102,
1559
+ "step": 21800
1560
+ },
1561
+ {
1562
+ "epoch": 3.492822966507177,
1563
+ "grad_norm": 694536.875,
1564
+ "learning_rate": 2.0893141945773527e-05,
1565
+ "loss": 3.5488,
1566
+ "step": 21900
1567
+ },
1568
+ {
1569
+ "epoch": 3.5087719298245617,
1570
+ "grad_norm": 668059.9375,
1571
+ "learning_rate": 2.0760233918128656e-05,
1572
+ "loss": 3.6078,
1573
+ "step": 22000
1574
+ },
1575
+ {
1576
+ "epoch": 3.5247208931419456,
1577
+ "grad_norm": 731925.875,
1578
+ "learning_rate": 2.0627325890483786e-05,
1579
+ "loss": 3.5455,
1580
+ "step": 22100
1581
+ },
1582
+ {
1583
+ "epoch": 3.5406698564593304,
1584
+ "grad_norm": 766777.9375,
1585
+ "learning_rate": 2.0494417862838915e-05,
1586
+ "loss": 3.5582,
1587
+ "step": 22200
1588
+ },
1589
+ {
1590
+ "epoch": 3.5566188197767143,
1591
+ "grad_norm": 755381.1875,
1592
+ "learning_rate": 2.0361509835194045e-05,
1593
+ "loss": 3.5859,
1594
+ "step": 22300
1595
+ },
1596
+ {
1597
+ "epoch": 3.5725677830940987,
1598
+ "grad_norm": 749873.6875,
1599
+ "learning_rate": 2.0228601807549178e-05,
1600
+ "loss": 3.7161,
1601
+ "step": 22400
1602
+ },
1603
+ {
1604
+ "epoch": 3.588516746411483,
1605
+ "grad_norm": 677539.125,
1606
+ "learning_rate": 2.0095693779904308e-05,
1607
+ "loss": 3.6225,
1608
+ "step": 22500
1609
+ },
1610
+ {
1611
+ "epoch": 3.6044657097288675,
1612
+ "grad_norm": 744990.8125,
1613
+ "learning_rate": 1.9962785752259437e-05,
1614
+ "loss": 3.5935,
1615
+ "step": 22600
1616
+ },
1617
+ {
1618
+ "epoch": 3.620414673046252,
1619
+ "grad_norm": 629363.0,
1620
+ "learning_rate": 1.9829877724614567e-05,
1621
+ "loss": 3.5828,
1622
+ "step": 22700
1623
+ },
1624
+ {
1625
+ "epoch": 3.6363636363636362,
1626
+ "grad_norm": 685327.4375,
1627
+ "learning_rate": 1.9696969696969697e-05,
1628
+ "loss": 3.5937,
1629
+ "step": 22800
1630
+ },
1631
+ {
1632
+ "epoch": 3.6523125996810206,
1633
+ "grad_norm": 760474.25,
1634
+ "learning_rate": 1.956406166932483e-05,
1635
+ "loss": 3.5799,
1636
+ "step": 22900
1637
+ },
1638
+ {
1639
+ "epoch": 3.668261562998405,
1640
+ "grad_norm": 725888.9375,
1641
+ "learning_rate": 1.943115364167996e-05,
1642
+ "loss": 3.5465,
1643
+ "step": 23000
1644
+ },
1645
+ {
1646
+ "epoch": 3.6842105263157894,
1647
+ "grad_norm": 752312.0625,
1648
+ "learning_rate": 1.929824561403509e-05,
1649
+ "loss": 3.6185,
1650
+ "step": 23100
1651
+ },
1652
+ {
1653
+ "epoch": 3.7001594896331738,
1654
+ "grad_norm": 855498.5625,
1655
+ "learning_rate": 1.916533758639022e-05,
1656
+ "loss": 3.5792,
1657
+ "step": 23200
1658
+ },
1659
+ {
1660
+ "epoch": 3.716108452950558,
1661
+ "grad_norm": 679264.5,
1662
+ "learning_rate": 1.9032429558745348e-05,
1663
+ "loss": 3.5531,
1664
+ "step": 23300
1665
+ },
1666
+ {
1667
+ "epoch": 3.7320574162679425,
1668
+ "grad_norm": 688482.875,
1669
+ "learning_rate": 1.8899521531100478e-05,
1670
+ "loss": 3.5495,
1671
+ "step": 23400
1672
+ },
1673
+ {
1674
+ "epoch": 3.748006379585327,
1675
+ "grad_norm": 756693.75,
1676
+ "learning_rate": 1.876661350345561e-05,
1677
+ "loss": 3.567,
1678
+ "step": 23500
1679
+ },
1680
+ {
1681
+ "epoch": 3.7639553429027113,
1682
+ "grad_norm": 854033.0625,
1683
+ "learning_rate": 1.863370547581074e-05,
1684
+ "loss": 3.5611,
1685
+ "step": 23600
1686
+ },
1687
+ {
1688
+ "epoch": 3.7799043062200957,
1689
+ "grad_norm": 753585.0625,
1690
+ "learning_rate": 1.850079744816587e-05,
1691
+ "loss": 3.5439,
1692
+ "step": 23700
1693
+ },
1694
+ {
1695
+ "epoch": 3.79585326953748,
1696
+ "grad_norm": 685358.25,
1697
+ "learning_rate": 1.8367889420521e-05,
1698
+ "loss": 3.535,
1699
+ "step": 23800
1700
+ },
1701
+ {
1702
+ "epoch": 3.8118022328548644,
1703
+ "grad_norm": 813028.4375,
1704
+ "learning_rate": 1.823498139287613e-05,
1705
+ "loss": 3.566,
1706
+ "step": 23900
1707
+ },
1708
+ {
1709
+ "epoch": 3.827751196172249,
1710
+ "grad_norm": 676295.9375,
1711
+ "learning_rate": 1.8102073365231263e-05,
1712
+ "loss": 3.5208,
1713
+ "step": 24000
1714
+ },
1715
+ {
1716
+ "epoch": 3.843700159489633,
1717
+ "grad_norm": 705614.1875,
1718
+ "learning_rate": 1.7969165337586392e-05,
1719
+ "loss": 3.5108,
1720
+ "step": 24100
1721
+ },
1722
+ {
1723
+ "epoch": 3.8596491228070176,
1724
+ "grad_norm": 643356.125,
1725
+ "learning_rate": 1.7836257309941522e-05,
1726
+ "loss": 3.5416,
1727
+ "step": 24200
1728
+ },
1729
+ {
1730
+ "epoch": 3.875598086124402,
1731
+ "grad_norm": 783635.625,
1732
+ "learning_rate": 1.770334928229665e-05,
1733
+ "loss": 3.6022,
1734
+ "step": 24300
1735
+ },
1736
+ {
1737
+ "epoch": 3.8915470494417863,
1738
+ "grad_norm": 829787.5,
1739
+ "learning_rate": 1.757044125465178e-05,
1740
+ "loss": 3.6056,
1741
+ "step": 24400
1742
+ },
1743
+ {
1744
+ "epoch": 3.9074960127591707,
1745
+ "grad_norm": 776633.0625,
1746
+ "learning_rate": 1.743753322700691e-05,
1747
+ "loss": 3.5857,
1748
+ "step": 24500
1749
+ },
1750
+ {
1751
+ "epoch": 3.923444976076555,
1752
+ "grad_norm": 708855.1875,
1753
+ "learning_rate": 1.7304625199362044e-05,
1754
+ "loss": 3.6086,
1755
+ "step": 24600
1756
+ },
1757
+ {
1758
+ "epoch": 3.9393939393939394,
1759
+ "grad_norm": 906587.0,
1760
+ "learning_rate": 1.7171717171717173e-05,
1761
+ "loss": 3.5361,
1762
+ "step": 24700
1763
+ },
1764
+ {
1765
+ "epoch": 3.955342902711324,
1766
+ "grad_norm": 835950.4375,
1767
+ "learning_rate": 1.7038809144072303e-05,
1768
+ "loss": 3.5976,
1769
+ "step": 24800
1770
+ },
1771
+ {
1772
+ "epoch": 3.971291866028708,
1773
+ "grad_norm": 816570.6875,
1774
+ "learning_rate": 1.6905901116427433e-05,
1775
+ "loss": 3.596,
1776
+ "step": 24900
1777
+ },
1778
+ {
1779
+ "epoch": 3.9872408293460926,
1780
+ "grad_norm": 751378.9375,
1781
+ "learning_rate": 1.6772993088782562e-05,
1782
+ "loss": 3.4856,
1783
+ "step": 25000
1784
+ },
1785
+ {
1786
+ "epoch": 4.0,
1787
+ "eval_loss": 3.646216869354248,
1788
+ "eval_runtime": 212.927,
1789
+ "eval_samples_per_second": 134.426,
1790
+ "eval_steps_per_second": 4.203,
1791
+ "step": 25080
1792
+ },
1793
+ {
1794
+ "epoch": 4.003189792663477,
1795
+ "grad_norm": 735559.375,
1796
+ "learning_rate": 1.6640085061137695e-05,
1797
+ "loss": 3.5286,
1798
+ "step": 25100
1799
+ },
1800
+ {
1801
+ "epoch": 4.019138755980861,
1802
+ "grad_norm": 741852.3125,
1803
+ "learning_rate": 1.6507177033492825e-05,
1804
+ "loss": 3.5367,
1805
+ "step": 25200
1806
+ },
1807
+ {
1808
+ "epoch": 4.035087719298246,
1809
+ "grad_norm": 650216.625,
1810
+ "learning_rate": 1.6374269005847955e-05,
1811
+ "loss": 3.5056,
1812
+ "step": 25300
1813
+ },
1814
+ {
1815
+ "epoch": 4.05103668261563,
1816
+ "grad_norm": 717938.9375,
1817
+ "learning_rate": 1.6241360978203084e-05,
1818
+ "loss": 3.4996,
1819
+ "step": 25400
1820
+ },
1821
+ {
1822
+ "epoch": 4.0669856459330145,
1823
+ "grad_norm": 840426.9375,
1824
+ "learning_rate": 1.6108452950558214e-05,
1825
+ "loss": 3.5293,
1826
+ "step": 25500
1827
+ },
1828
+ {
1829
+ "epoch": 4.082934609250398,
1830
+ "grad_norm": 699668.5,
1831
+ "learning_rate": 1.5975544922913344e-05,
1832
+ "loss": 3.5122,
1833
+ "step": 25600
1834
+ },
1835
+ {
1836
+ "epoch": 4.098883572567783,
1837
+ "grad_norm": 649238.8125,
1838
+ "learning_rate": 1.5842636895268477e-05,
1839
+ "loss": 3.4949,
1840
+ "step": 25700
1841
+ },
1842
+ {
1843
+ "epoch": 4.114832535885167,
1844
+ "grad_norm": 669479.3125,
1845
+ "learning_rate": 1.5709728867623606e-05,
1846
+ "loss": 3.5515,
1847
+ "step": 25800
1848
+ },
1849
+ {
1850
+ "epoch": 4.130781499202552,
1851
+ "grad_norm": 645182.625,
1852
+ "learning_rate": 1.5576820839978733e-05,
1853
+ "loss": 3.5113,
1854
+ "step": 25900
1855
+ },
1856
+ {
1857
+ "epoch": 4.146730462519936,
1858
+ "grad_norm": 913136.6875,
1859
+ "learning_rate": 1.5443912812333866e-05,
1860
+ "loss": 3.5326,
1861
+ "step": 26000
1862
+ },
1863
+ {
1864
+ "epoch": 4.162679425837321,
1865
+ "grad_norm": 641233.3125,
1866
+ "learning_rate": 1.5311004784688995e-05,
1867
+ "loss": 3.4768,
1868
+ "step": 26100
1869
+ },
1870
+ {
1871
+ "epoch": 4.178628389154705,
1872
+ "grad_norm": 798713.5625,
1873
+ "learning_rate": 1.5178096757044127e-05,
1874
+ "loss": 3.4977,
1875
+ "step": 26200
1876
+ },
1877
+ {
1878
+ "epoch": 4.1945773524720895,
1879
+ "grad_norm": 719145.9375,
1880
+ "learning_rate": 1.5045188729399256e-05,
1881
+ "loss": 3.4549,
1882
+ "step": 26300
1883
+ },
1884
+ {
1885
+ "epoch": 4.2105263157894735,
1886
+ "grad_norm": 692601.9375,
1887
+ "learning_rate": 1.4912280701754386e-05,
1888
+ "loss": 3.5228,
1889
+ "step": 26400
1890
+ },
1891
+ {
1892
+ "epoch": 4.226475279106858,
1893
+ "grad_norm": 631408.4375,
1894
+ "learning_rate": 1.4779372674109517e-05,
1895
+ "loss": 3.4742,
1896
+ "step": 26500
1897
+ },
1898
+ {
1899
+ "epoch": 4.242424242424242,
1900
+ "grad_norm": 733137.0,
1901
+ "learning_rate": 1.4646464646464647e-05,
1902
+ "loss": 3.4242,
1903
+ "step": 26600
1904
+ },
1905
+ {
1906
+ "epoch": 4.258373205741627,
1907
+ "grad_norm": 741812.9375,
1908
+ "learning_rate": 1.4513556618819777e-05,
1909
+ "loss": 3.4598,
1910
+ "step": 26700
1911
+ },
1912
+ {
1913
+ "epoch": 4.274322169059011,
1914
+ "grad_norm": 682720.125,
1915
+ "learning_rate": 1.4380648591174908e-05,
1916
+ "loss": 3.4827,
1917
+ "step": 26800
1918
+ },
1919
+ {
1920
+ "epoch": 4.290271132376396,
1921
+ "grad_norm": 784646.125,
1922
+ "learning_rate": 1.4247740563530037e-05,
1923
+ "loss": 3.4712,
1924
+ "step": 26900
1925
+ },
1926
+ {
1927
+ "epoch": 4.30622009569378,
1928
+ "grad_norm": 713282.75,
1929
+ "learning_rate": 1.4114832535885167e-05,
1930
+ "loss": 3.5542,
1931
+ "step": 27000
1932
+ },
1933
+ {
1934
+ "epoch": 4.3221690590111645,
1935
+ "grad_norm": 699440.4375,
1936
+ "learning_rate": 1.3981924508240298e-05,
1937
+ "loss": 3.4572,
1938
+ "step": 27100
1939
+ },
1940
+ {
1941
+ "epoch": 4.3381180223285485,
1942
+ "grad_norm": 733063.875,
1943
+ "learning_rate": 1.3849016480595428e-05,
1944
+ "loss": 3.4106,
1945
+ "step": 27200
1946
+ },
1947
+ {
1948
+ "epoch": 4.354066985645933,
1949
+ "grad_norm": 799606.875,
1950
+ "learning_rate": 1.371610845295056e-05,
1951
+ "loss": 3.4189,
1952
+ "step": 27300
1953
+ },
1954
+ {
1955
+ "epoch": 4.370015948963317,
1956
+ "grad_norm": 722583.25,
1957
+ "learning_rate": 1.3583200425305689e-05,
1958
+ "loss": 3.448,
1959
+ "step": 27400
1960
+ },
1961
+ {
1962
+ "epoch": 4.385964912280702,
1963
+ "grad_norm": 761491.5625,
1964
+ "learning_rate": 1.3450292397660819e-05,
1965
+ "loss": 3.5248,
1966
+ "step": 27500
1967
+ },
1968
+ {
1969
+ "epoch": 4.401913875598086,
1970
+ "grad_norm": 633397.6875,
1971
+ "learning_rate": 1.331738437001595e-05,
1972
+ "loss": 3.5675,
1973
+ "step": 27600
1974
+ },
1975
+ {
1976
+ "epoch": 4.417862838915471,
1977
+ "grad_norm": 743160.4375,
1978
+ "learning_rate": 1.318447634237108e-05,
1979
+ "loss": 3.4983,
1980
+ "step": 27700
1981
+ },
1982
+ {
1983
+ "epoch": 4.433811802232855,
1984
+ "grad_norm": 689363.3125,
1985
+ "learning_rate": 1.305156831472621e-05,
1986
+ "loss": 3.5689,
1987
+ "step": 27800
1988
+ },
1989
+ {
1990
+ "epoch": 4.44976076555024,
1991
+ "grad_norm": 634674.0,
1992
+ "learning_rate": 1.291866028708134e-05,
1993
+ "loss": 3.4763,
1994
+ "step": 27900
1995
+ },
1996
+ {
1997
+ "epoch": 4.4657097288676235,
1998
+ "grad_norm": 682868.5,
1999
+ "learning_rate": 1.278575225943647e-05,
2000
+ "loss": 3.4725,
2001
+ "step": 28000
2002
+ },
2003
+ {
2004
+ "epoch": 4.481658692185008,
2005
+ "grad_norm": 839863.0,
2006
+ "learning_rate": 1.26528442317916e-05,
2007
+ "loss": 3.5255,
2008
+ "step": 28100
2009
+ },
2010
+ {
2011
+ "epoch": 4.497607655502392,
2012
+ "grad_norm": 840497.0625,
2013
+ "learning_rate": 1.2519936204146731e-05,
2014
+ "loss": 3.4914,
2015
+ "step": 28200
2016
+ },
2017
+ {
2018
+ "epoch": 4.513556618819777,
2019
+ "grad_norm": 798480.8125,
2020
+ "learning_rate": 1.2387028176501861e-05,
2021
+ "loss": 3.4787,
2022
+ "step": 28300
2023
+ },
2024
+ {
2025
+ "epoch": 4.529505582137161,
2026
+ "grad_norm": 776783.625,
2027
+ "learning_rate": 1.2254120148856992e-05,
2028
+ "loss": 3.4817,
2029
+ "step": 28400
2030
+ },
2031
+ {
2032
+ "epoch": 4.545454545454545,
2033
+ "grad_norm": 860058.625,
2034
+ "learning_rate": 1.2121212121212122e-05,
2035
+ "loss": 3.515,
2036
+ "step": 28500
2037
+ },
2038
+ {
2039
+ "epoch": 4.56140350877193,
2040
+ "grad_norm": 797709.0,
2041
+ "learning_rate": 1.1988304093567252e-05,
2042
+ "loss": 3.4715,
2043
+ "step": 28600
2044
+ },
2045
+ {
2046
+ "epoch": 4.577352472089315,
2047
+ "grad_norm": 686232.0,
2048
+ "learning_rate": 1.1855396065922381e-05,
2049
+ "loss": 3.493,
2050
+ "step": 28700
2051
+ },
2052
+ {
2053
+ "epoch": 4.5933014354066986,
2054
+ "grad_norm": 713671.875,
2055
+ "learning_rate": 1.1722488038277513e-05,
2056
+ "loss": 3.4767,
2057
+ "step": 28800
2058
+ },
2059
+ {
2060
+ "epoch": 4.6092503987240825,
2061
+ "grad_norm": 830858.875,
2062
+ "learning_rate": 1.1589580010632644e-05,
2063
+ "loss": 3.5506,
2064
+ "step": 28900
2065
+ },
2066
+ {
2067
+ "epoch": 4.625199362041467,
2068
+ "grad_norm": 681684.8125,
2069
+ "learning_rate": 1.1456671982987772e-05,
2070
+ "loss": 3.468,
2071
+ "step": 29000
2072
+ },
2073
+ {
2074
+ "epoch": 4.641148325358852,
2075
+ "grad_norm": 693863.25,
2076
+ "learning_rate": 1.1323763955342903e-05,
2077
+ "loss": 3.4847,
2078
+ "step": 29100
2079
+ },
2080
+ {
2081
+ "epoch": 4.657097288676236,
2082
+ "grad_norm": 612233.75,
2083
+ "learning_rate": 1.1190855927698035e-05,
2084
+ "loss": 3.3994,
2085
+ "step": 29200
2086
+ },
2087
+ {
2088
+ "epoch": 4.67304625199362,
2089
+ "grad_norm": 901251.25,
2090
+ "learning_rate": 1.1057947900053164e-05,
2091
+ "loss": 3.5144,
2092
+ "step": 29300
2093
+ },
2094
+ {
2095
+ "epoch": 4.688995215311005,
2096
+ "grad_norm": 742618.4375,
2097
+ "learning_rate": 1.0925039872408294e-05,
2098
+ "loss": 3.5388,
2099
+ "step": 29400
2100
+ },
2101
+ {
2102
+ "epoch": 4.70494417862839,
2103
+ "grad_norm": 797654.0,
2104
+ "learning_rate": 1.0792131844763423e-05,
2105
+ "loss": 3.4722,
2106
+ "step": 29500
2107
+ },
2108
+ {
2109
+ "epoch": 4.720893141945774,
2110
+ "grad_norm": 763737.9375,
2111
+ "learning_rate": 1.0659223817118555e-05,
2112
+ "loss": 3.5006,
2113
+ "step": 29600
2114
+ },
2115
+ {
2116
+ "epoch": 4.7368421052631575,
2117
+ "grad_norm": 702353.875,
2118
+ "learning_rate": 1.0526315789473684e-05,
2119
+ "loss": 3.4772,
2120
+ "step": 29700
2121
+ },
2122
+ {
2123
+ "epoch": 4.752791068580542,
2124
+ "grad_norm": 790482.1875,
2125
+ "learning_rate": 1.0393407761828814e-05,
2126
+ "loss": 3.4507,
2127
+ "step": 29800
2128
+ },
2129
+ {
2130
+ "epoch": 4.768740031897926,
2131
+ "grad_norm": 706455.9375,
2132
+ "learning_rate": 1.0260499734183945e-05,
2133
+ "loss": 3.4769,
2134
+ "step": 29900
2135
+ },
2136
+ {
2137
+ "epoch": 4.784688995215311,
2138
+ "grad_norm": 720554.3125,
2139
+ "learning_rate": 1.0127591706539077e-05,
2140
+ "loss": 3.4551,
2141
+ "step": 30000
2142
+ },
2143
+ {
2144
+ "epoch": 4.800637958532695,
2145
+ "grad_norm": 754827.6875,
2146
+ "learning_rate": 9.994683678894205e-06,
2147
+ "loss": 3.4982,
2148
+ "step": 30100
2149
+ },
2150
+ {
2151
+ "epoch": 4.81658692185008,
2152
+ "grad_norm": 696089.375,
2153
+ "learning_rate": 9.861775651249336e-06,
2154
+ "loss": 3.4637,
2155
+ "step": 30200
2156
+ },
2157
+ {
2158
+ "epoch": 4.832535885167464,
2159
+ "grad_norm": 737095.3125,
2160
+ "learning_rate": 9.728867623604466e-06,
2161
+ "loss": 3.4621,
2162
+ "step": 30300
2163
+ },
2164
+ {
2165
+ "epoch": 4.848484848484849,
2166
+ "grad_norm": 768262.125,
2167
+ "learning_rate": 9.595959595959595e-06,
2168
+ "loss": 3.48,
2169
+ "step": 30400
2170
+ },
2171
+ {
2172
+ "epoch": 4.8644338118022326,
2173
+ "grad_norm": 767420.5625,
2174
+ "learning_rate": 9.463051568314727e-06,
2175
+ "loss": 3.4463,
2176
+ "step": 30500
2177
+ },
2178
+ {
2179
+ "epoch": 4.880382775119617,
2180
+ "grad_norm": 706310.0,
2181
+ "learning_rate": 9.330143540669856e-06,
2182
+ "loss": 3.4668,
2183
+ "step": 30600
2184
+ },
2185
+ {
2186
+ "epoch": 4.896331738437001,
2187
+ "grad_norm": 828940.625,
2188
+ "learning_rate": 9.197235513024988e-06,
2189
+ "loss": 3.4377,
2190
+ "step": 30700
2191
+ },
2192
+ {
2193
+ "epoch": 4.912280701754386,
2194
+ "grad_norm": 788075.375,
2195
+ "learning_rate": 9.064327485380117e-06,
2196
+ "loss": 3.4144,
2197
+ "step": 30800
2198
+ },
2199
+ {
2200
+ "epoch": 4.92822966507177,
2201
+ "grad_norm": 805364.0625,
2202
+ "learning_rate": 8.931419457735247e-06,
2203
+ "loss": 3.4726,
2204
+ "step": 30900
2205
+ },
2206
+ {
2207
+ "epoch": 4.944178628389155,
2208
+ "grad_norm": 604472.75,
2209
+ "learning_rate": 8.798511430090378e-06,
2210
+ "loss": 3.4936,
2211
+ "step": 31000
2212
+ },
2213
+ {
2214
+ "epoch": 4.960127591706539,
2215
+ "grad_norm": 684835.3125,
2216
+ "learning_rate": 8.66560340244551e-06,
2217
+ "loss": 3.4637,
2218
+ "step": 31100
2219
+ },
2220
+ {
2221
+ "epoch": 4.976076555023924,
2222
+ "grad_norm": 684998.5,
2223
+ "learning_rate": 8.532695374800638e-06,
2224
+ "loss": 3.5321,
2225
+ "step": 31200
2226
+ },
2227
+ {
2228
+ "epoch": 4.992025518341308,
2229
+ "grad_norm": 711871.5625,
2230
+ "learning_rate": 8.399787347155769e-06,
2231
+ "loss": 3.4809,
2232
+ "step": 31300
2233
+ },
2234
+ {
2235
+ "epoch": 5.0,
2236
+ "eval_loss": 3.6019129753112793,
2237
+ "eval_runtime": 212.6906,
2238
+ "eval_samples_per_second": 134.576,
2239
+ "eval_steps_per_second": 4.208,
2240
+ "step": 31350
2241
+ }
2242
+ ],
2243
+ "logging_steps": 100,
2244
+ "max_steps": 37620,
2245
+ "num_input_tokens_seen": 0,
2246
+ "num_train_epochs": 6,
2247
+ "save_steps": 500,
2248
+ "stateful_callbacks": {
2249
+ "TrainerControl": {
2250
+ "args": {
2251
+ "should_epoch_stop": false,
2252
+ "should_evaluate": false,
2253
+ "should_log": false,
2254
+ "should_save": true,
2255
+ "should_training_stop": false
2256
+ },
2257
+ "attributes": {}
2258
+ }
2259
+ },
2260
+ "total_flos": 3.881011443758592e+16,
2261
+ "train_batch_size": 32,
2262
+ "trial_name": null,
2263
+ "trial_params": null
2264
+ }
checkpoint-31350/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e6d8905717aeff0bee4d2b97e0432173098aa3c32a8f4e99a68f0803ee335cd
3
+ size 5240
checkpoint-31350/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-37620/config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Ransaka/sinhala-bert-medium-v2",
3
+ "architectures": [
4
+ "BertForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 786,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 1024,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 256,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 6,
17
+ "num_hidden_layers": 6,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.47.0",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 32000
25
+ }
checkpoint-37620/generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.47.0"
5
+ }
checkpoint-37620/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51874da6e509fec39e26442cbb403925b98087382b3935fe751f465f12a14781
3
+ size 202182680
checkpoint-37620/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c34063c5c901ee1afd5592c6ffbc9f35c7f259aa87f3a3d73744b818650009e
3
+ size 404427706
checkpoint-37620/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74143774766502ce979c9960d73e58c82c04649b6fa34eacaf30aafbae0c5aee
3
+ size 14244
checkpoint-37620/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72f104db74301089ced9d13f69518b106b2a706eabaeae6880252941368f78ab
3
+ size 1064
checkpoint-37620/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
checkpoint-37620/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-37620/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": false,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "BertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-37620/trainer_state.json ADDED
@@ -0,0 +1,2713 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.0,
5
+ "eval_steps": 500,
6
+ "global_step": 37620,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01594896331738437,
13
+ "grad_norm": 793786.1875,
14
+ "learning_rate": 4.9867091972355135e-05,
15
+ "loss": 4.3231,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.03189792663476874,
20
+ "grad_norm": 705751.0625,
21
+ "learning_rate": 4.973418394471026e-05,
22
+ "loss": 4.1867,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.04784688995215311,
27
+ "grad_norm": 761077.1875,
28
+ "learning_rate": 4.9601275917065395e-05,
29
+ "loss": 4.225,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.06379585326953748,
34
+ "grad_norm": 660073.9375,
35
+ "learning_rate": 4.946836788942053e-05,
36
+ "loss": 4.2529,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.07974481658692185,
41
+ "grad_norm": 701404.4375,
42
+ "learning_rate": 4.9335459861775654e-05,
43
+ "loss": 4.2985,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.09569377990430622,
48
+ "grad_norm": 776949.5625,
49
+ "learning_rate": 4.920255183413078e-05,
50
+ "loss": 4.2124,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.11164274322169059,
55
+ "grad_norm": 703487.375,
56
+ "learning_rate": 4.906964380648591e-05,
57
+ "loss": 4.224,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.12759170653907495,
62
+ "grad_norm": 727441.625,
63
+ "learning_rate": 4.893673577884104e-05,
64
+ "loss": 4.3259,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.14354066985645933,
69
+ "grad_norm": 772143.4375,
70
+ "learning_rate": 4.880382775119617e-05,
71
+ "loss": 4.1641,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.1594896331738437,
76
+ "grad_norm": 834641.6875,
77
+ "learning_rate": 4.8670919723551306e-05,
78
+ "loss": 4.2651,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.17543859649122806,
83
+ "grad_norm": 743223.0,
84
+ "learning_rate": 4.853801169590643e-05,
85
+ "loss": 4.1867,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.19138755980861244,
90
+ "grad_norm": 643478.125,
91
+ "learning_rate": 4.8405103668261565e-05,
92
+ "loss": 4.1816,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.20733652312599682,
97
+ "grad_norm": 656405.6875,
98
+ "learning_rate": 4.82721956406167e-05,
99
+ "loss": 4.1677,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.22328548644338117,
104
+ "grad_norm": 714701.3125,
105
+ "learning_rate": 4.813928761297183e-05,
106
+ "loss": 4.1595,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.23923444976076555,
111
+ "grad_norm": 739746.875,
112
+ "learning_rate": 4.800637958532696e-05,
113
+ "loss": 4.1319,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.2551834130781499,
118
+ "grad_norm": 736049.3125,
119
+ "learning_rate": 4.787347155768209e-05,
120
+ "loss": 4.1543,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.2711323763955343,
125
+ "grad_norm": 668736.5,
126
+ "learning_rate": 4.7740563530037217e-05,
127
+ "loss": 4.2052,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.28708133971291866,
132
+ "grad_norm": 655993.0625,
133
+ "learning_rate": 4.760765550239234e-05,
134
+ "loss": 4.1642,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.30303030303030304,
139
+ "grad_norm": 732162.3125,
140
+ "learning_rate": 4.7474747474747476e-05,
141
+ "loss": 4.1464,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.3189792663476874,
146
+ "grad_norm": 687130.875,
147
+ "learning_rate": 4.734183944710261e-05,
148
+ "loss": 4.181,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.3349282296650718,
153
+ "grad_norm": 823373.1875,
154
+ "learning_rate": 4.7208931419457735e-05,
155
+ "loss": 4.1591,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.3508771929824561,
160
+ "grad_norm": 716504.625,
161
+ "learning_rate": 4.707602339181287e-05,
162
+ "loss": 4.1391,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.3668261562998405,
167
+ "grad_norm": 714200.6875,
168
+ "learning_rate": 4.6943115364168e-05,
169
+ "loss": 4.0962,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.3827751196172249,
174
+ "grad_norm": 662553.0,
175
+ "learning_rate": 4.681020733652313e-05,
176
+ "loss": 4.0964,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.39872408293460926,
181
+ "grad_norm": 767714.875,
182
+ "learning_rate": 4.667729930887826e-05,
183
+ "loss": 4.1174,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.41467304625199364,
188
+ "grad_norm": 763852.75,
189
+ "learning_rate": 4.6544391281233393e-05,
190
+ "loss": 4.0442,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.430622009569378,
195
+ "grad_norm": 733045.8125,
196
+ "learning_rate": 4.641148325358852e-05,
197
+ "loss": 4.112,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.44657097288676234,
202
+ "grad_norm": 752065.875,
203
+ "learning_rate": 4.6278575225943646e-05,
204
+ "loss": 4.1223,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.4625199362041467,
209
+ "grad_norm": 675739.8125,
210
+ "learning_rate": 4.614566719829878e-05,
211
+ "loss": 4.1608,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.4784688995215311,
216
+ "grad_norm": 666147.375,
217
+ "learning_rate": 4.6012759170653905e-05,
218
+ "loss": 4.0803,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.4944178628389155,
223
+ "grad_norm": 594287.9375,
224
+ "learning_rate": 4.587985114300904e-05,
225
+ "loss": 4.045,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.5103668261562998,
230
+ "grad_norm": 778230.25,
231
+ "learning_rate": 4.574694311536417e-05,
232
+ "loss": 4.1268,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.5263157894736842,
237
+ "grad_norm": 683312.0625,
238
+ "learning_rate": 4.56140350877193e-05,
239
+ "loss": 4.0424,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.5422647527910686,
244
+ "grad_norm": 640858.25,
245
+ "learning_rate": 4.548112706007443e-05,
246
+ "loss": 4.0235,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.5582137161084529,
251
+ "grad_norm": 680217.875,
252
+ "learning_rate": 4.5348219032429564e-05,
253
+ "loss": 4.1423,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.5741626794258373,
258
+ "grad_norm": 708408.4375,
259
+ "learning_rate": 4.521531100478469e-05,
260
+ "loss": 4.0291,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.5901116427432217,
265
+ "grad_norm": 663333.0,
266
+ "learning_rate": 4.508240297713982e-05,
267
+ "loss": 3.9998,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.6060606060606061,
272
+ "grad_norm": 652592.0,
273
+ "learning_rate": 4.494949494949495e-05,
274
+ "loss": 4.0424,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.6220095693779905,
279
+ "grad_norm": 667416.9375,
280
+ "learning_rate": 4.481658692185008e-05,
281
+ "loss": 4.053,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.6379585326953748,
286
+ "grad_norm": 674108.4375,
287
+ "learning_rate": 4.468367889420521e-05,
288
+ "loss": 4.0748,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.6539074960127592,
293
+ "grad_norm": 714003.625,
294
+ "learning_rate": 4.455077086656034e-05,
295
+ "loss": 3.9807,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.6698564593301436,
300
+ "grad_norm": 693166.4375,
301
+ "learning_rate": 4.4417862838915475e-05,
302
+ "loss": 3.993,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.6858054226475279,
307
+ "grad_norm": 689997.125,
308
+ "learning_rate": 4.42849548112706e-05,
309
+ "loss": 4.0593,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.7017543859649122,
314
+ "grad_norm": 741118.5625,
315
+ "learning_rate": 4.4152046783625734e-05,
316
+ "loss": 4.0409,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.7177033492822966,
321
+ "grad_norm": 668626.9375,
322
+ "learning_rate": 4.401913875598087e-05,
323
+ "loss": 4.06,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 0.733652312599681,
328
+ "grad_norm": 771064.125,
329
+ "learning_rate": 4.388623072833599e-05,
330
+ "loss": 4.0122,
331
+ "step": 4600
332
+ },
333
+ {
334
+ "epoch": 0.7496012759170654,
335
+ "grad_norm": 756131.375,
336
+ "learning_rate": 4.3753322700691126e-05,
337
+ "loss": 4.043,
338
+ "step": 4700
339
+ },
340
+ {
341
+ "epoch": 0.7655502392344498,
342
+ "grad_norm": 737817.5625,
343
+ "learning_rate": 4.362041467304626e-05,
344
+ "loss": 4.0213,
345
+ "step": 4800
346
+ },
347
+ {
348
+ "epoch": 0.7814992025518341,
349
+ "grad_norm": 758023.5625,
350
+ "learning_rate": 4.3487506645401385e-05,
351
+ "loss": 3.9778,
352
+ "step": 4900
353
+ },
354
+ {
355
+ "epoch": 0.7974481658692185,
356
+ "grad_norm": 672895.1875,
357
+ "learning_rate": 4.335459861775651e-05,
358
+ "loss": 4.0434,
359
+ "step": 5000
360
+ },
361
+ {
362
+ "epoch": 0.8133971291866029,
363
+ "grad_norm": 710937.375,
364
+ "learning_rate": 4.3221690590111645e-05,
365
+ "loss": 4.0117,
366
+ "step": 5100
367
+ },
368
+ {
369
+ "epoch": 0.8293460925039873,
370
+ "grad_norm": 773563.875,
371
+ "learning_rate": 4.308878256246677e-05,
372
+ "loss": 4.0516,
373
+ "step": 5200
374
+ },
375
+ {
376
+ "epoch": 0.8452950558213717,
377
+ "grad_norm": 750733.4375,
378
+ "learning_rate": 4.2955874534821904e-05,
379
+ "loss": 3.9798,
380
+ "step": 5300
381
+ },
382
+ {
383
+ "epoch": 0.861244019138756,
384
+ "grad_norm": 706317.3125,
385
+ "learning_rate": 4.282296650717704e-05,
386
+ "loss": 3.9845,
387
+ "step": 5400
388
+ },
389
+ {
390
+ "epoch": 0.8771929824561403,
391
+ "grad_norm": 710855.75,
392
+ "learning_rate": 4.269005847953216e-05,
393
+ "loss": 4.0295,
394
+ "step": 5500
395
+ },
396
+ {
397
+ "epoch": 0.8931419457735247,
398
+ "grad_norm": 712988.9375,
399
+ "learning_rate": 4.2557150451887296e-05,
400
+ "loss": 3.9732,
401
+ "step": 5600
402
+ },
403
+ {
404
+ "epoch": 0.9090909090909091,
405
+ "grad_norm": 628492.75,
406
+ "learning_rate": 4.242424242424243e-05,
407
+ "loss": 4.0012,
408
+ "step": 5700
409
+ },
410
+ {
411
+ "epoch": 0.9250398724082934,
412
+ "grad_norm": 821738.375,
413
+ "learning_rate": 4.2291334396597556e-05,
414
+ "loss": 3.9867,
415
+ "step": 5800
416
+ },
417
+ {
418
+ "epoch": 0.9409888357256778,
419
+ "grad_norm": 720818.125,
420
+ "learning_rate": 4.215842636895269e-05,
421
+ "loss": 3.962,
422
+ "step": 5900
423
+ },
424
+ {
425
+ "epoch": 0.9569377990430622,
426
+ "grad_norm": 698428.0625,
427
+ "learning_rate": 4.2025518341307815e-05,
428
+ "loss": 4.0095,
429
+ "step": 6000
430
+ },
431
+ {
432
+ "epoch": 0.9728867623604466,
433
+ "grad_norm": 769185.75,
434
+ "learning_rate": 4.189261031366295e-05,
435
+ "loss": 3.9469,
436
+ "step": 6100
437
+ },
438
+ {
439
+ "epoch": 0.988835725677831,
440
+ "grad_norm": 706422.25,
441
+ "learning_rate": 4.1759702286018074e-05,
442
+ "loss": 3.9466,
443
+ "step": 6200
444
+ },
445
+ {
446
+ "epoch": 1.0,
447
+ "eval_loss": 3.8981289863586426,
448
+ "eval_runtime": 213.136,
449
+ "eval_samples_per_second": 134.295,
450
+ "eval_steps_per_second": 4.199,
451
+ "step": 6270
452
+ },
453
+ {
454
+ "epoch": 1.0047846889952152,
455
+ "grad_norm": 664245.5,
456
+ "learning_rate": 4.162679425837321e-05,
457
+ "loss": 3.9397,
458
+ "step": 6300
459
+ },
460
+ {
461
+ "epoch": 1.0207336523125996,
462
+ "grad_norm": 790251.5625,
463
+ "learning_rate": 4.149388623072834e-05,
464
+ "loss": 3.7918,
465
+ "step": 6400
466
+ },
467
+ {
468
+ "epoch": 1.036682615629984,
469
+ "grad_norm": 813129.1875,
470
+ "learning_rate": 4.1360978203083467e-05,
471
+ "loss": 3.8563,
472
+ "step": 6500
473
+ },
474
+ {
475
+ "epoch": 1.0526315789473684,
476
+ "grad_norm": 695871.5,
477
+ "learning_rate": 4.12280701754386e-05,
478
+ "loss": 3.959,
479
+ "step": 6600
480
+ },
481
+ {
482
+ "epoch": 1.0685805422647527,
483
+ "grad_norm": 640218.3125,
484
+ "learning_rate": 4.109516214779373e-05,
485
+ "loss": 3.9882,
486
+ "step": 6700
487
+ },
488
+ {
489
+ "epoch": 1.0845295055821371,
490
+ "grad_norm": 709886.125,
491
+ "learning_rate": 4.096225412014886e-05,
492
+ "loss": 3.9328,
493
+ "step": 6800
494
+ },
495
+ {
496
+ "epoch": 1.1004784688995215,
497
+ "grad_norm": 663732.1875,
498
+ "learning_rate": 4.082934609250399e-05,
499
+ "loss": 3.947,
500
+ "step": 6900
501
+ },
502
+ {
503
+ "epoch": 1.1164274322169059,
504
+ "grad_norm": 649781.9375,
505
+ "learning_rate": 4.069643806485912e-05,
506
+ "loss": 3.8735,
507
+ "step": 7000
508
+ },
509
+ {
510
+ "epoch": 1.1323763955342903,
511
+ "grad_norm": 788934.4375,
512
+ "learning_rate": 4.056353003721425e-05,
513
+ "loss": 3.8548,
514
+ "step": 7100
515
+ },
516
+ {
517
+ "epoch": 1.1483253588516746,
518
+ "grad_norm": 688279.3125,
519
+ "learning_rate": 4.043062200956938e-05,
520
+ "loss": 3.8844,
521
+ "step": 7200
522
+ },
523
+ {
524
+ "epoch": 1.164274322169059,
525
+ "grad_norm": 698958.0,
526
+ "learning_rate": 4.029771398192451e-05,
527
+ "loss": 3.878,
528
+ "step": 7300
529
+ },
530
+ {
531
+ "epoch": 1.1802232854864434,
532
+ "grad_norm": 777544.8125,
533
+ "learning_rate": 4.016480595427964e-05,
534
+ "loss": 3.8299,
535
+ "step": 7400
536
+ },
537
+ {
538
+ "epoch": 1.1961722488038278,
539
+ "grad_norm": 768888.3125,
540
+ "learning_rate": 4.003189792663477e-05,
541
+ "loss": 3.859,
542
+ "step": 7500
543
+ },
544
+ {
545
+ "epoch": 1.2121212121212122,
546
+ "grad_norm": 703599.8125,
547
+ "learning_rate": 3.98989898989899e-05,
548
+ "loss": 3.9008,
549
+ "step": 7600
550
+ },
551
+ {
552
+ "epoch": 1.2280701754385965,
553
+ "grad_norm": 684616.75,
554
+ "learning_rate": 3.976608187134503e-05,
555
+ "loss": 3.8917,
556
+ "step": 7700
557
+ },
558
+ {
559
+ "epoch": 1.244019138755981,
560
+ "grad_norm": 754650.9375,
561
+ "learning_rate": 3.963317384370016e-05,
562
+ "loss": 3.7987,
563
+ "step": 7800
564
+ },
565
+ {
566
+ "epoch": 1.2599681020733653,
567
+ "grad_norm": 833289.8125,
568
+ "learning_rate": 3.9500265816055295e-05,
569
+ "loss": 3.8097,
570
+ "step": 7900
571
+ },
572
+ {
573
+ "epoch": 1.2759170653907497,
574
+ "grad_norm": 712939.125,
575
+ "learning_rate": 3.936735778841042e-05,
576
+ "loss": 3.91,
577
+ "step": 8000
578
+ },
579
+ {
580
+ "epoch": 1.291866028708134,
581
+ "grad_norm": 691034.4375,
582
+ "learning_rate": 3.9234449760765554e-05,
583
+ "loss": 3.8607,
584
+ "step": 8100
585
+ },
586
+ {
587
+ "epoch": 1.3078149920255182,
588
+ "grad_norm": 777656.1875,
589
+ "learning_rate": 3.910154173312068e-05,
590
+ "loss": 3.8294,
591
+ "step": 8200
592
+ },
593
+ {
594
+ "epoch": 1.3237639553429026,
595
+ "grad_norm": 779268.6875,
596
+ "learning_rate": 3.896863370547581e-05,
597
+ "loss": 3.839,
598
+ "step": 8300
599
+ },
600
+ {
601
+ "epoch": 1.339712918660287,
602
+ "grad_norm": 737519.0,
603
+ "learning_rate": 3.883572567783094e-05,
604
+ "loss": 3.8773,
605
+ "step": 8400
606
+ },
607
+ {
608
+ "epoch": 1.3556618819776713,
609
+ "grad_norm": 722279.3125,
610
+ "learning_rate": 3.870281765018607e-05,
611
+ "loss": 3.8351,
612
+ "step": 8500
613
+ },
614
+ {
615
+ "epoch": 1.3716108452950557,
616
+ "grad_norm": 763525.9375,
617
+ "learning_rate": 3.8569909622541206e-05,
618
+ "loss": 3.8517,
619
+ "step": 8600
620
+ },
621
+ {
622
+ "epoch": 1.38755980861244,
623
+ "grad_norm": 715289.3125,
624
+ "learning_rate": 3.843700159489633e-05,
625
+ "loss": 3.8272,
626
+ "step": 8700
627
+ },
628
+ {
629
+ "epoch": 1.4035087719298245,
630
+ "grad_norm": 656186.625,
631
+ "learning_rate": 3.8304093567251465e-05,
632
+ "loss": 3.8894,
633
+ "step": 8800
634
+ },
635
+ {
636
+ "epoch": 1.4194577352472089,
637
+ "grad_norm": 756528.875,
638
+ "learning_rate": 3.81711855396066e-05,
639
+ "loss": 3.8387,
640
+ "step": 8900
641
+ },
642
+ {
643
+ "epoch": 1.4354066985645932,
644
+ "grad_norm": 716015.0,
645
+ "learning_rate": 3.8038277511961725e-05,
646
+ "loss": 3.7842,
647
+ "step": 9000
648
+ },
649
+ {
650
+ "epoch": 1.4513556618819776,
651
+ "grad_norm": 721006.3125,
652
+ "learning_rate": 3.790536948431686e-05,
653
+ "loss": 3.7769,
654
+ "step": 9100
655
+ },
656
+ {
657
+ "epoch": 1.467304625199362,
658
+ "grad_norm": 800538.1875,
659
+ "learning_rate": 3.7772461456671984e-05,
660
+ "loss": 3.8393,
661
+ "step": 9200
662
+ },
663
+ {
664
+ "epoch": 1.4832535885167464,
665
+ "grad_norm": 699156.0,
666
+ "learning_rate": 3.763955342902711e-05,
667
+ "loss": 3.7527,
668
+ "step": 9300
669
+ },
670
+ {
671
+ "epoch": 1.4992025518341308,
672
+ "grad_norm": 699306.375,
673
+ "learning_rate": 3.750664540138224e-05,
674
+ "loss": 3.8306,
675
+ "step": 9400
676
+ },
677
+ {
678
+ "epoch": 1.5151515151515151,
679
+ "grad_norm": 689892.5,
680
+ "learning_rate": 3.7373737373737376e-05,
681
+ "loss": 3.8582,
682
+ "step": 9500
683
+ },
684
+ {
685
+ "epoch": 1.5311004784688995,
686
+ "grad_norm": 712134.3125,
687
+ "learning_rate": 3.72408293460925e-05,
688
+ "loss": 3.9048,
689
+ "step": 9600
690
+ },
691
+ {
692
+ "epoch": 1.547049441786284,
693
+ "grad_norm": 611158.625,
694
+ "learning_rate": 3.7107921318447635e-05,
695
+ "loss": 3.8315,
696
+ "step": 9700
697
+ },
698
+ {
699
+ "epoch": 1.5629984051036683,
700
+ "grad_norm": 814951.875,
701
+ "learning_rate": 3.697501329080277e-05,
702
+ "loss": 3.8433,
703
+ "step": 9800
704
+ },
705
+ {
706
+ "epoch": 1.5789473684210527,
707
+ "grad_norm": 638232.25,
708
+ "learning_rate": 3.6842105263157895e-05,
709
+ "loss": 3.8697,
710
+ "step": 9900
711
+ },
712
+ {
713
+ "epoch": 1.594896331738437,
714
+ "grad_norm": 717277.8125,
715
+ "learning_rate": 3.670919723551303e-05,
716
+ "loss": 3.8447,
717
+ "step": 10000
718
+ },
719
+ {
720
+ "epoch": 1.6108452950558214,
721
+ "grad_norm": 623000.1875,
722
+ "learning_rate": 3.657628920786816e-05,
723
+ "loss": 3.9104,
724
+ "step": 10100
725
+ },
726
+ {
727
+ "epoch": 1.6267942583732058,
728
+ "grad_norm": 737050.875,
729
+ "learning_rate": 3.644338118022329e-05,
730
+ "loss": 3.8208,
731
+ "step": 10200
732
+ },
733
+ {
734
+ "epoch": 1.6427432216905902,
735
+ "grad_norm": 766050.0,
736
+ "learning_rate": 3.631047315257842e-05,
737
+ "loss": 3.8454,
738
+ "step": 10300
739
+ },
740
+ {
741
+ "epoch": 1.6586921850079746,
742
+ "grad_norm": 681873.25,
743
+ "learning_rate": 3.6177565124933546e-05,
744
+ "loss": 3.8284,
745
+ "step": 10400
746
+ },
747
+ {
748
+ "epoch": 1.674641148325359,
749
+ "grad_norm": 636321.0625,
750
+ "learning_rate": 3.604465709728867e-05,
751
+ "loss": 3.8191,
752
+ "step": 10500
753
+ },
754
+ {
755
+ "epoch": 1.6905901116427433,
756
+ "grad_norm": 751694.875,
757
+ "learning_rate": 3.5911749069643806e-05,
758
+ "loss": 3.8152,
759
+ "step": 10600
760
+ },
761
+ {
762
+ "epoch": 1.7065390749601277,
763
+ "grad_norm": 779390.25,
764
+ "learning_rate": 3.577884104199894e-05,
765
+ "loss": 3.8235,
766
+ "step": 10700
767
+ },
768
+ {
769
+ "epoch": 1.722488038277512,
770
+ "grad_norm": 780193.4375,
771
+ "learning_rate": 3.5645933014354065e-05,
772
+ "loss": 3.8109,
773
+ "step": 10800
774
+ },
775
+ {
776
+ "epoch": 1.7384370015948964,
777
+ "grad_norm": 678532.75,
778
+ "learning_rate": 3.55130249867092e-05,
779
+ "loss": 3.8017,
780
+ "step": 10900
781
+ },
782
+ {
783
+ "epoch": 1.7543859649122808,
784
+ "grad_norm": 733045.375,
785
+ "learning_rate": 3.538011695906433e-05,
786
+ "loss": 3.8518,
787
+ "step": 11000
788
+ },
789
+ {
790
+ "epoch": 1.7703349282296652,
791
+ "grad_norm": 646417.375,
792
+ "learning_rate": 3.5247208931419464e-05,
793
+ "loss": 3.7623,
794
+ "step": 11100
795
+ },
796
+ {
797
+ "epoch": 1.7862838915470496,
798
+ "grad_norm": 641868.25,
799
+ "learning_rate": 3.511430090377459e-05,
800
+ "loss": 3.7536,
801
+ "step": 11200
802
+ },
803
+ {
804
+ "epoch": 1.802232854864434,
805
+ "grad_norm": 743804.375,
806
+ "learning_rate": 3.498139287612972e-05,
807
+ "loss": 3.8056,
808
+ "step": 11300
809
+ },
810
+ {
811
+ "epoch": 1.8181818181818183,
812
+ "grad_norm": 725540.5625,
813
+ "learning_rate": 3.484848484848485e-05,
814
+ "loss": 3.8078,
815
+ "step": 11400
816
+ },
817
+ {
818
+ "epoch": 1.8341307814992025,
819
+ "grad_norm": 735264.125,
820
+ "learning_rate": 3.4715576820839976e-05,
821
+ "loss": 3.8247,
822
+ "step": 11500
823
+ },
824
+ {
825
+ "epoch": 1.8500797448165869,
826
+ "grad_norm": 708785.5625,
827
+ "learning_rate": 3.458266879319511e-05,
828
+ "loss": 3.7898,
829
+ "step": 11600
830
+ },
831
+ {
832
+ "epoch": 1.8660287081339713,
833
+ "grad_norm": 864416.3125,
834
+ "learning_rate": 3.444976076555024e-05,
835
+ "loss": 3.8642,
836
+ "step": 11700
837
+ },
838
+ {
839
+ "epoch": 1.8819776714513556,
840
+ "grad_norm": 693382.5625,
841
+ "learning_rate": 3.431685273790537e-05,
842
+ "loss": 3.7433,
843
+ "step": 11800
844
+ },
845
+ {
846
+ "epoch": 1.89792663476874,
847
+ "grad_norm": 841755.25,
848
+ "learning_rate": 3.41839447102605e-05,
849
+ "loss": 3.8562,
850
+ "step": 11900
851
+ },
852
+ {
853
+ "epoch": 1.9138755980861244,
854
+ "grad_norm": 662765.125,
855
+ "learning_rate": 3.4051036682615634e-05,
856
+ "loss": 3.8703,
857
+ "step": 12000
858
+ },
859
+ {
860
+ "epoch": 1.9298245614035088,
861
+ "grad_norm": 707709.75,
862
+ "learning_rate": 3.391812865497076e-05,
863
+ "loss": 3.8402,
864
+ "step": 12100
865
+ },
866
+ {
867
+ "epoch": 1.9457735247208932,
868
+ "grad_norm": 616722.875,
869
+ "learning_rate": 3.3785220627325893e-05,
870
+ "loss": 3.8432,
871
+ "step": 12200
872
+ },
873
+ {
874
+ "epoch": 1.9617224880382775,
875
+ "grad_norm": 795238.625,
876
+ "learning_rate": 3.3652312599681026e-05,
877
+ "loss": 3.7319,
878
+ "step": 12300
879
+ },
880
+ {
881
+ "epoch": 1.977671451355662,
882
+ "grad_norm": 709130.0,
883
+ "learning_rate": 3.351940457203615e-05,
884
+ "loss": 3.7628,
885
+ "step": 12400
886
+ },
887
+ {
888
+ "epoch": 1.9936204146730463,
889
+ "grad_norm": 789321.375,
890
+ "learning_rate": 3.3386496544391286e-05,
891
+ "loss": 3.7821,
892
+ "step": 12500
893
+ },
894
+ {
895
+ "epoch": 2.0,
896
+ "eval_loss": 3.800079584121704,
897
+ "eval_runtime": 212.9573,
898
+ "eval_samples_per_second": 134.407,
899
+ "eval_steps_per_second": 4.203,
900
+ "step": 12540
901
+ },
902
+ {
903
+ "epoch": 2.0095693779904304,
904
+ "grad_norm": 862786.0,
905
+ "learning_rate": 3.325358851674641e-05,
906
+ "loss": 3.7512,
907
+ "step": 12600
908
+ },
909
+ {
910
+ "epoch": 2.025518341307815,
911
+ "grad_norm": 772642.5625,
912
+ "learning_rate": 3.312068048910154e-05,
913
+ "loss": 3.6611,
914
+ "step": 12700
915
+ },
916
+ {
917
+ "epoch": 2.041467304625199,
918
+ "grad_norm": 706907.1875,
919
+ "learning_rate": 3.298777246145667e-05,
920
+ "loss": 3.7484,
921
+ "step": 12800
922
+ },
923
+ {
924
+ "epoch": 2.0574162679425836,
925
+ "grad_norm": 940896.375,
926
+ "learning_rate": 3.2854864433811804e-05,
927
+ "loss": 3.7545,
928
+ "step": 12900
929
+ },
930
+ {
931
+ "epoch": 2.073365231259968,
932
+ "grad_norm": 670013.875,
933
+ "learning_rate": 3.272195640616693e-05,
934
+ "loss": 3.6504,
935
+ "step": 13000
936
+ },
937
+ {
938
+ "epoch": 2.0893141945773523,
939
+ "grad_norm": 702168.0,
940
+ "learning_rate": 3.2589048378522064e-05,
941
+ "loss": 3.6133,
942
+ "step": 13100
943
+ },
944
+ {
945
+ "epoch": 2.1052631578947367,
946
+ "grad_norm": 741310.75,
947
+ "learning_rate": 3.24561403508772e-05,
948
+ "loss": 3.7202,
949
+ "step": 13200
950
+ },
951
+ {
952
+ "epoch": 2.121212121212121,
953
+ "grad_norm": 630812.625,
954
+ "learning_rate": 3.232323232323233e-05,
955
+ "loss": 3.7131,
956
+ "step": 13300
957
+ },
958
+ {
959
+ "epoch": 2.1371610845295055,
960
+ "grad_norm": 736768.125,
961
+ "learning_rate": 3.2190324295587456e-05,
962
+ "loss": 3.6982,
963
+ "step": 13400
964
+ },
965
+ {
966
+ "epoch": 2.15311004784689,
967
+ "grad_norm": 743122.8125,
968
+ "learning_rate": 3.205741626794259e-05,
969
+ "loss": 3.7196,
970
+ "step": 13500
971
+ },
972
+ {
973
+ "epoch": 2.1690590111642742,
974
+ "grad_norm": 685713.25,
975
+ "learning_rate": 3.1924508240297715e-05,
976
+ "loss": 3.7312,
977
+ "step": 13600
978
+ },
979
+ {
980
+ "epoch": 2.1850079744816586,
981
+ "grad_norm": 829695.75,
982
+ "learning_rate": 3.179160021265284e-05,
983
+ "loss": 3.6914,
984
+ "step": 13700
985
+ },
986
+ {
987
+ "epoch": 2.200956937799043,
988
+ "grad_norm": 640866.6875,
989
+ "learning_rate": 3.1658692185007975e-05,
990
+ "loss": 3.8376,
991
+ "step": 13800
992
+ },
993
+ {
994
+ "epoch": 2.2169059011164274,
995
+ "grad_norm": 705478.25,
996
+ "learning_rate": 3.152578415736311e-05,
997
+ "loss": 3.7294,
998
+ "step": 13900
999
+ },
1000
+ {
1001
+ "epoch": 2.2328548644338118,
1002
+ "grad_norm": 664668.8125,
1003
+ "learning_rate": 3.1392876129718234e-05,
1004
+ "loss": 3.7046,
1005
+ "step": 14000
1006
+ },
1007
+ {
1008
+ "epoch": 2.248803827751196,
1009
+ "grad_norm": 653658.25,
1010
+ "learning_rate": 3.125996810207337e-05,
1011
+ "loss": 3.7142,
1012
+ "step": 14100
1013
+ },
1014
+ {
1015
+ "epoch": 2.2647527910685805,
1016
+ "grad_norm": 737460.0625,
1017
+ "learning_rate": 3.11270600744285e-05,
1018
+ "loss": 3.6449,
1019
+ "step": 14200
1020
+ },
1021
+ {
1022
+ "epoch": 2.280701754385965,
1023
+ "grad_norm": 657366.8125,
1024
+ "learning_rate": 3.0994152046783626e-05,
1025
+ "loss": 3.7051,
1026
+ "step": 14300
1027
+ },
1028
+ {
1029
+ "epoch": 2.2966507177033493,
1030
+ "grad_norm": 734922.0625,
1031
+ "learning_rate": 3.086124401913876e-05,
1032
+ "loss": 3.6793,
1033
+ "step": 14400
1034
+ },
1035
+ {
1036
+ "epoch": 2.3125996810207337,
1037
+ "grad_norm": 636888.125,
1038
+ "learning_rate": 3.072833599149389e-05,
1039
+ "loss": 3.764,
1040
+ "step": 14500
1041
+ },
1042
+ {
1043
+ "epoch": 2.328548644338118,
1044
+ "grad_norm": 776567.125,
1045
+ "learning_rate": 3.059542796384902e-05,
1046
+ "loss": 3.6952,
1047
+ "step": 14600
1048
+ },
1049
+ {
1050
+ "epoch": 2.3444976076555024,
1051
+ "grad_norm": 678031.5,
1052
+ "learning_rate": 3.0462519936204148e-05,
1053
+ "loss": 3.7086,
1054
+ "step": 14700
1055
+ },
1056
+ {
1057
+ "epoch": 2.360446570972887,
1058
+ "grad_norm": 702883.9375,
1059
+ "learning_rate": 3.032961190855928e-05,
1060
+ "loss": 3.6974,
1061
+ "step": 14800
1062
+ },
1063
+ {
1064
+ "epoch": 2.376395534290271,
1065
+ "grad_norm": 640335.375,
1066
+ "learning_rate": 3.0196703880914407e-05,
1067
+ "loss": 3.6555,
1068
+ "step": 14900
1069
+ },
1070
+ {
1071
+ "epoch": 2.3923444976076556,
1072
+ "grad_norm": 686070.0625,
1073
+ "learning_rate": 3.0063795853269537e-05,
1074
+ "loss": 3.7167,
1075
+ "step": 15000
1076
+ },
1077
+ {
1078
+ "epoch": 2.40829346092504,
1079
+ "grad_norm": 676044.25,
1080
+ "learning_rate": 2.993088782562467e-05,
1081
+ "loss": 3.6554,
1082
+ "step": 15100
1083
+ },
1084
+ {
1085
+ "epoch": 2.4242424242424243,
1086
+ "grad_norm": 767818.6875,
1087
+ "learning_rate": 2.9797979797979796e-05,
1088
+ "loss": 3.693,
1089
+ "step": 15200
1090
+ },
1091
+ {
1092
+ "epoch": 2.4401913875598087,
1093
+ "grad_norm": 739911.0625,
1094
+ "learning_rate": 2.966507177033493e-05,
1095
+ "loss": 3.6431,
1096
+ "step": 15300
1097
+ },
1098
+ {
1099
+ "epoch": 2.456140350877193,
1100
+ "grad_norm": 771256.3125,
1101
+ "learning_rate": 2.9532163742690062e-05,
1102
+ "loss": 3.6216,
1103
+ "step": 15400
1104
+ },
1105
+ {
1106
+ "epoch": 2.4720893141945774,
1107
+ "grad_norm": 773173.375,
1108
+ "learning_rate": 2.939925571504519e-05,
1109
+ "loss": 3.7742,
1110
+ "step": 15500
1111
+ },
1112
+ {
1113
+ "epoch": 2.488038277511962,
1114
+ "grad_norm": 762888.3125,
1115
+ "learning_rate": 2.9266347687400318e-05,
1116
+ "loss": 3.7236,
1117
+ "step": 15600
1118
+ },
1119
+ {
1120
+ "epoch": 2.503987240829346,
1121
+ "grad_norm": 879857.0625,
1122
+ "learning_rate": 2.913343965975545e-05,
1123
+ "loss": 3.7253,
1124
+ "step": 15700
1125
+ },
1126
+ {
1127
+ "epoch": 2.5199362041467306,
1128
+ "grad_norm": 733285.0625,
1129
+ "learning_rate": 2.9000531632110584e-05,
1130
+ "loss": 3.7166,
1131
+ "step": 15800
1132
+ },
1133
+ {
1134
+ "epoch": 2.535885167464115,
1135
+ "grad_norm": 833014.3125,
1136
+ "learning_rate": 2.886762360446571e-05,
1137
+ "loss": 3.6705,
1138
+ "step": 15900
1139
+ },
1140
+ {
1141
+ "epoch": 2.5518341307814993,
1142
+ "grad_norm": 736943.4375,
1143
+ "learning_rate": 2.8734715576820844e-05,
1144
+ "loss": 3.7253,
1145
+ "step": 16000
1146
+ },
1147
+ {
1148
+ "epoch": 2.5677830940988837,
1149
+ "grad_norm": 708644.4375,
1150
+ "learning_rate": 2.8601807549175973e-05,
1151
+ "loss": 3.6672,
1152
+ "step": 16100
1153
+ },
1154
+ {
1155
+ "epoch": 2.583732057416268,
1156
+ "grad_norm": 795735.8125,
1157
+ "learning_rate": 2.84688995215311e-05,
1158
+ "loss": 3.728,
1159
+ "step": 16200
1160
+ },
1161
+ {
1162
+ "epoch": 2.5996810207336525,
1163
+ "grad_norm": 864533.875,
1164
+ "learning_rate": 2.8335991493886233e-05,
1165
+ "loss": 3.6478,
1166
+ "step": 16300
1167
+ },
1168
+ {
1169
+ "epoch": 2.6156299840510364,
1170
+ "grad_norm": 835745.0,
1171
+ "learning_rate": 2.8203083466241366e-05,
1172
+ "loss": 3.6204,
1173
+ "step": 16400
1174
+ },
1175
+ {
1176
+ "epoch": 2.6315789473684212,
1177
+ "grad_norm": 726415.3125,
1178
+ "learning_rate": 2.8070175438596492e-05,
1179
+ "loss": 3.6899,
1180
+ "step": 16500
1181
+ },
1182
+ {
1183
+ "epoch": 2.647527910685805,
1184
+ "grad_norm": 619188.1875,
1185
+ "learning_rate": 2.793726741095162e-05,
1186
+ "loss": 3.6442,
1187
+ "step": 16600
1188
+ },
1189
+ {
1190
+ "epoch": 2.66347687400319,
1191
+ "grad_norm": 704278.1875,
1192
+ "learning_rate": 2.7804359383306755e-05,
1193
+ "loss": 3.7113,
1194
+ "step": 16700
1195
+ },
1196
+ {
1197
+ "epoch": 2.679425837320574,
1198
+ "grad_norm": 787753.0,
1199
+ "learning_rate": 2.767145135566188e-05,
1200
+ "loss": 3.7368,
1201
+ "step": 16800
1202
+ },
1203
+ {
1204
+ "epoch": 2.6953748006379588,
1205
+ "grad_norm": 738743.5625,
1206
+ "learning_rate": 2.7538543328017014e-05,
1207
+ "loss": 3.7575,
1208
+ "step": 16900
1209
+ },
1210
+ {
1211
+ "epoch": 2.7113237639553427,
1212
+ "grad_norm": 797812.75,
1213
+ "learning_rate": 2.7405635300372147e-05,
1214
+ "loss": 3.6586,
1215
+ "step": 17000
1216
+ },
1217
+ {
1218
+ "epoch": 2.7272727272727275,
1219
+ "grad_norm": 662883.0,
1220
+ "learning_rate": 2.7272727272727273e-05,
1221
+ "loss": 3.6812,
1222
+ "step": 17100
1223
+ },
1224
+ {
1225
+ "epoch": 2.7432216905901115,
1226
+ "grad_norm": 708693.8125,
1227
+ "learning_rate": 2.7139819245082403e-05,
1228
+ "loss": 3.6645,
1229
+ "step": 17200
1230
+ },
1231
+ {
1232
+ "epoch": 2.7591706539074963,
1233
+ "grad_norm": 750630.625,
1234
+ "learning_rate": 2.7006911217437536e-05,
1235
+ "loss": 3.659,
1236
+ "step": 17300
1237
+ },
1238
+ {
1239
+ "epoch": 2.77511961722488,
1240
+ "grad_norm": 743643.5625,
1241
+ "learning_rate": 2.6874003189792662e-05,
1242
+ "loss": 3.6794,
1243
+ "step": 17400
1244
+ },
1245
+ {
1246
+ "epoch": 2.7910685805422646,
1247
+ "grad_norm": 683095.9375,
1248
+ "learning_rate": 2.6741095162147795e-05,
1249
+ "loss": 3.6587,
1250
+ "step": 17500
1251
+ },
1252
+ {
1253
+ "epoch": 2.807017543859649,
1254
+ "grad_norm": 659289.8125,
1255
+ "learning_rate": 2.6608187134502928e-05,
1256
+ "loss": 3.7067,
1257
+ "step": 17600
1258
+ },
1259
+ {
1260
+ "epoch": 2.8229665071770333,
1261
+ "grad_norm": 722875.9375,
1262
+ "learning_rate": 2.6475279106858054e-05,
1263
+ "loss": 3.6918,
1264
+ "step": 17700
1265
+ },
1266
+ {
1267
+ "epoch": 2.8389154704944177,
1268
+ "grad_norm": 643060.4375,
1269
+ "learning_rate": 2.6342371079213184e-05,
1270
+ "loss": 3.694,
1271
+ "step": 17800
1272
+ },
1273
+ {
1274
+ "epoch": 2.854864433811802,
1275
+ "grad_norm": 811117.3125,
1276
+ "learning_rate": 2.6209463051568317e-05,
1277
+ "loss": 3.703,
1278
+ "step": 17900
1279
+ },
1280
+ {
1281
+ "epoch": 2.8708133971291865,
1282
+ "grad_norm": 835076.6875,
1283
+ "learning_rate": 2.6076555023923443e-05,
1284
+ "loss": 3.6346,
1285
+ "step": 18000
1286
+ },
1287
+ {
1288
+ "epoch": 2.886762360446571,
1289
+ "grad_norm": 800111.875,
1290
+ "learning_rate": 2.5943646996278576e-05,
1291
+ "loss": 3.6589,
1292
+ "step": 18100
1293
+ },
1294
+ {
1295
+ "epoch": 2.9027113237639552,
1296
+ "grad_norm": 726367.5,
1297
+ "learning_rate": 2.5810738968633706e-05,
1298
+ "loss": 3.6522,
1299
+ "step": 18200
1300
+ },
1301
+ {
1302
+ "epoch": 2.9186602870813396,
1303
+ "grad_norm": 717922.25,
1304
+ "learning_rate": 2.567783094098884e-05,
1305
+ "loss": 3.6592,
1306
+ "step": 18300
1307
+ },
1308
+ {
1309
+ "epoch": 2.934609250398724,
1310
+ "grad_norm": 841302.0625,
1311
+ "learning_rate": 2.5544922913343965e-05,
1312
+ "loss": 3.688,
1313
+ "step": 18400
1314
+ },
1315
+ {
1316
+ "epoch": 2.9505582137161084,
1317
+ "grad_norm": 697304.1875,
1318
+ "learning_rate": 2.5412014885699098e-05,
1319
+ "loss": 3.6017,
1320
+ "step": 18500
1321
+ },
1322
+ {
1323
+ "epoch": 2.9665071770334928,
1324
+ "grad_norm": 929050.25,
1325
+ "learning_rate": 2.527910685805423e-05,
1326
+ "loss": 3.6116,
1327
+ "step": 18600
1328
+ },
1329
+ {
1330
+ "epoch": 2.982456140350877,
1331
+ "grad_norm": 699048.9375,
1332
+ "learning_rate": 2.5146198830409358e-05,
1333
+ "loss": 3.6474,
1334
+ "step": 18700
1335
+ },
1336
+ {
1337
+ "epoch": 2.9984051036682615,
1338
+ "grad_norm": 783686.0625,
1339
+ "learning_rate": 2.5013290802764487e-05,
1340
+ "loss": 3.6783,
1341
+ "step": 18800
1342
+ },
1343
+ {
1344
+ "epoch": 3.0,
1345
+ "eval_loss": 3.706315755844116,
1346
+ "eval_runtime": 212.8533,
1347
+ "eval_samples_per_second": 134.473,
1348
+ "eval_steps_per_second": 4.205,
1349
+ "step": 18810
1350
+ },
1351
+ {
1352
+ "epoch": 3.014354066985646,
1353
+ "grad_norm": 709059.3125,
1354
+ "learning_rate": 2.4880382775119617e-05,
1355
+ "loss": 3.5423,
1356
+ "step": 18900
1357
+ },
1358
+ {
1359
+ "epoch": 3.0303030303030303,
1360
+ "grad_norm": 655684.75,
1361
+ "learning_rate": 2.474747474747475e-05,
1362
+ "loss": 3.5606,
1363
+ "step": 19000
1364
+ },
1365
+ {
1366
+ "epoch": 3.0462519936204147,
1367
+ "grad_norm": 759915.1875,
1368
+ "learning_rate": 2.461456671982988e-05,
1369
+ "loss": 3.6979,
1370
+ "step": 19100
1371
+ },
1372
+ {
1373
+ "epoch": 3.062200956937799,
1374
+ "grad_norm": 835860.375,
1375
+ "learning_rate": 2.448165869218501e-05,
1376
+ "loss": 3.6324,
1377
+ "step": 19200
1378
+ },
1379
+ {
1380
+ "epoch": 3.0781499202551834,
1381
+ "grad_norm": 675779.5625,
1382
+ "learning_rate": 2.434875066454014e-05,
1383
+ "loss": 3.5773,
1384
+ "step": 19300
1385
+ },
1386
+ {
1387
+ "epoch": 3.094098883572568,
1388
+ "grad_norm": 700443.875,
1389
+ "learning_rate": 2.421584263689527e-05,
1390
+ "loss": 3.6309,
1391
+ "step": 19400
1392
+ },
1393
+ {
1394
+ "epoch": 3.110047846889952,
1395
+ "grad_norm": 768801.6875,
1396
+ "learning_rate": 2.4082934609250398e-05,
1397
+ "loss": 3.639,
1398
+ "step": 19500
1399
+ },
1400
+ {
1401
+ "epoch": 3.1259968102073366,
1402
+ "grad_norm": 705109.6875,
1403
+ "learning_rate": 2.395002658160553e-05,
1404
+ "loss": 3.6365,
1405
+ "step": 19600
1406
+ },
1407
+ {
1408
+ "epoch": 3.141945773524721,
1409
+ "grad_norm": 661887.5,
1410
+ "learning_rate": 2.381711855396066e-05,
1411
+ "loss": 3.5754,
1412
+ "step": 19700
1413
+ },
1414
+ {
1415
+ "epoch": 3.1578947368421053,
1416
+ "grad_norm": 691131.0,
1417
+ "learning_rate": 2.368421052631579e-05,
1418
+ "loss": 3.5888,
1419
+ "step": 19800
1420
+ },
1421
+ {
1422
+ "epoch": 3.1738437001594897,
1423
+ "grad_norm": 738841.625,
1424
+ "learning_rate": 2.355130249867092e-05,
1425
+ "loss": 3.6433,
1426
+ "step": 19900
1427
+ },
1428
+ {
1429
+ "epoch": 3.189792663476874,
1430
+ "grad_norm": 663372.1875,
1431
+ "learning_rate": 2.341839447102605e-05,
1432
+ "loss": 3.5642,
1433
+ "step": 20000
1434
+ },
1435
+ {
1436
+ "epoch": 3.2057416267942584,
1437
+ "grad_norm": 619548.75,
1438
+ "learning_rate": 2.3285486443381183e-05,
1439
+ "loss": 3.5864,
1440
+ "step": 20100
1441
+ },
1442
+ {
1443
+ "epoch": 3.221690590111643,
1444
+ "grad_norm": 773919.6875,
1445
+ "learning_rate": 2.3152578415736312e-05,
1446
+ "loss": 3.6072,
1447
+ "step": 20200
1448
+ },
1449
+ {
1450
+ "epoch": 3.237639553429027,
1451
+ "grad_norm": 728946.0625,
1452
+ "learning_rate": 2.3019670388091442e-05,
1453
+ "loss": 3.6212,
1454
+ "step": 20300
1455
+ },
1456
+ {
1457
+ "epoch": 3.2535885167464116,
1458
+ "grad_norm": 659326.9375,
1459
+ "learning_rate": 2.288676236044657e-05,
1460
+ "loss": 3.6068,
1461
+ "step": 20400
1462
+ },
1463
+ {
1464
+ "epoch": 3.269537480063796,
1465
+ "grad_norm": 759802.25,
1466
+ "learning_rate": 2.27538543328017e-05,
1467
+ "loss": 3.6783,
1468
+ "step": 20500
1469
+ },
1470
+ {
1471
+ "epoch": 3.2854864433811803,
1472
+ "grad_norm": 805141.9375,
1473
+ "learning_rate": 2.262094630515683e-05,
1474
+ "loss": 3.6441,
1475
+ "step": 20600
1476
+ },
1477
+ {
1478
+ "epoch": 3.3014354066985647,
1479
+ "grad_norm": 716521.875,
1480
+ "learning_rate": 2.2488038277511964e-05,
1481
+ "loss": 3.5748,
1482
+ "step": 20700
1483
+ },
1484
+ {
1485
+ "epoch": 3.317384370015949,
1486
+ "grad_norm": 920115.4375,
1487
+ "learning_rate": 2.2355130249867094e-05,
1488
+ "loss": 3.5985,
1489
+ "step": 20800
1490
+ },
1491
+ {
1492
+ "epoch": 3.3333333333333335,
1493
+ "grad_norm": 838658.0625,
1494
+ "learning_rate": 2.2222222222222223e-05,
1495
+ "loss": 3.564,
1496
+ "step": 20900
1497
+ },
1498
+ {
1499
+ "epoch": 3.349282296650718,
1500
+ "grad_norm": 838474.9375,
1501
+ "learning_rate": 2.2089314194577353e-05,
1502
+ "loss": 3.5875,
1503
+ "step": 21000
1504
+ },
1505
+ {
1506
+ "epoch": 3.3652312599681022,
1507
+ "grad_norm": 663992.25,
1508
+ "learning_rate": 2.1956406166932483e-05,
1509
+ "loss": 3.5681,
1510
+ "step": 21100
1511
+ },
1512
+ {
1513
+ "epoch": 3.3811802232854866,
1514
+ "grad_norm": 679489.9375,
1515
+ "learning_rate": 2.1823498139287616e-05,
1516
+ "loss": 3.5276,
1517
+ "step": 21200
1518
+ },
1519
+ {
1520
+ "epoch": 3.397129186602871,
1521
+ "grad_norm": 721495.6875,
1522
+ "learning_rate": 2.1690590111642745e-05,
1523
+ "loss": 3.5599,
1524
+ "step": 21300
1525
+ },
1526
+ {
1527
+ "epoch": 3.4130781499202554,
1528
+ "grad_norm": 667400.9375,
1529
+ "learning_rate": 2.1557682083997875e-05,
1530
+ "loss": 3.5554,
1531
+ "step": 21400
1532
+ },
1533
+ {
1534
+ "epoch": 3.4290271132376393,
1535
+ "grad_norm": 706122.0,
1536
+ "learning_rate": 2.1424774056353005e-05,
1537
+ "loss": 3.6543,
1538
+ "step": 21500
1539
+ },
1540
+ {
1541
+ "epoch": 3.444976076555024,
1542
+ "grad_norm": 709513.125,
1543
+ "learning_rate": 2.1291866028708134e-05,
1544
+ "loss": 3.6568,
1545
+ "step": 21600
1546
+ },
1547
+ {
1548
+ "epoch": 3.460925039872408,
1549
+ "grad_norm": 652669.375,
1550
+ "learning_rate": 2.1158958001063264e-05,
1551
+ "loss": 3.6423,
1552
+ "step": 21700
1553
+ },
1554
+ {
1555
+ "epoch": 3.476874003189793,
1556
+ "grad_norm": 713371.625,
1557
+ "learning_rate": 2.1026049973418397e-05,
1558
+ "loss": 3.6102,
1559
+ "step": 21800
1560
+ },
1561
+ {
1562
+ "epoch": 3.492822966507177,
1563
+ "grad_norm": 694536.875,
1564
+ "learning_rate": 2.0893141945773527e-05,
1565
+ "loss": 3.5488,
1566
+ "step": 21900
1567
+ },
1568
+ {
1569
+ "epoch": 3.5087719298245617,
1570
+ "grad_norm": 668059.9375,
1571
+ "learning_rate": 2.0760233918128656e-05,
1572
+ "loss": 3.6078,
1573
+ "step": 22000
1574
+ },
1575
+ {
1576
+ "epoch": 3.5247208931419456,
1577
+ "grad_norm": 731925.875,
1578
+ "learning_rate": 2.0627325890483786e-05,
1579
+ "loss": 3.5455,
1580
+ "step": 22100
1581
+ },
1582
+ {
1583
+ "epoch": 3.5406698564593304,
1584
+ "grad_norm": 766777.9375,
1585
+ "learning_rate": 2.0494417862838915e-05,
1586
+ "loss": 3.5582,
1587
+ "step": 22200
1588
+ },
1589
+ {
1590
+ "epoch": 3.5566188197767143,
1591
+ "grad_norm": 755381.1875,
1592
+ "learning_rate": 2.0361509835194045e-05,
1593
+ "loss": 3.5859,
1594
+ "step": 22300
1595
+ },
1596
+ {
1597
+ "epoch": 3.5725677830940987,
1598
+ "grad_norm": 749873.6875,
1599
+ "learning_rate": 2.0228601807549178e-05,
1600
+ "loss": 3.7161,
1601
+ "step": 22400
1602
+ },
1603
+ {
1604
+ "epoch": 3.588516746411483,
1605
+ "grad_norm": 677539.125,
1606
+ "learning_rate": 2.0095693779904308e-05,
1607
+ "loss": 3.6225,
1608
+ "step": 22500
1609
+ },
1610
+ {
1611
+ "epoch": 3.6044657097288675,
1612
+ "grad_norm": 744990.8125,
1613
+ "learning_rate": 1.9962785752259437e-05,
1614
+ "loss": 3.5935,
1615
+ "step": 22600
1616
+ },
1617
+ {
1618
+ "epoch": 3.620414673046252,
1619
+ "grad_norm": 629363.0,
1620
+ "learning_rate": 1.9829877724614567e-05,
1621
+ "loss": 3.5828,
1622
+ "step": 22700
1623
+ },
1624
+ {
1625
+ "epoch": 3.6363636363636362,
1626
+ "grad_norm": 685327.4375,
1627
+ "learning_rate": 1.9696969696969697e-05,
1628
+ "loss": 3.5937,
1629
+ "step": 22800
1630
+ },
1631
+ {
1632
+ "epoch": 3.6523125996810206,
1633
+ "grad_norm": 760474.25,
1634
+ "learning_rate": 1.956406166932483e-05,
1635
+ "loss": 3.5799,
1636
+ "step": 22900
1637
+ },
1638
+ {
1639
+ "epoch": 3.668261562998405,
1640
+ "grad_norm": 725888.9375,
1641
+ "learning_rate": 1.943115364167996e-05,
1642
+ "loss": 3.5465,
1643
+ "step": 23000
1644
+ },
1645
+ {
1646
+ "epoch": 3.6842105263157894,
1647
+ "grad_norm": 752312.0625,
1648
+ "learning_rate": 1.929824561403509e-05,
1649
+ "loss": 3.6185,
1650
+ "step": 23100
1651
+ },
1652
+ {
1653
+ "epoch": 3.7001594896331738,
1654
+ "grad_norm": 855498.5625,
1655
+ "learning_rate": 1.916533758639022e-05,
1656
+ "loss": 3.5792,
1657
+ "step": 23200
1658
+ },
1659
+ {
1660
+ "epoch": 3.716108452950558,
1661
+ "grad_norm": 679264.5,
1662
+ "learning_rate": 1.9032429558745348e-05,
1663
+ "loss": 3.5531,
1664
+ "step": 23300
1665
+ },
1666
+ {
1667
+ "epoch": 3.7320574162679425,
1668
+ "grad_norm": 688482.875,
1669
+ "learning_rate": 1.8899521531100478e-05,
1670
+ "loss": 3.5495,
1671
+ "step": 23400
1672
+ },
1673
+ {
1674
+ "epoch": 3.748006379585327,
1675
+ "grad_norm": 756693.75,
1676
+ "learning_rate": 1.876661350345561e-05,
1677
+ "loss": 3.567,
1678
+ "step": 23500
1679
+ },
1680
+ {
1681
+ "epoch": 3.7639553429027113,
1682
+ "grad_norm": 854033.0625,
1683
+ "learning_rate": 1.863370547581074e-05,
1684
+ "loss": 3.5611,
1685
+ "step": 23600
1686
+ },
1687
+ {
1688
+ "epoch": 3.7799043062200957,
1689
+ "grad_norm": 753585.0625,
1690
+ "learning_rate": 1.850079744816587e-05,
1691
+ "loss": 3.5439,
1692
+ "step": 23700
1693
+ },
1694
+ {
1695
+ "epoch": 3.79585326953748,
1696
+ "grad_norm": 685358.25,
1697
+ "learning_rate": 1.8367889420521e-05,
1698
+ "loss": 3.535,
1699
+ "step": 23800
1700
+ },
1701
+ {
1702
+ "epoch": 3.8118022328548644,
1703
+ "grad_norm": 813028.4375,
1704
+ "learning_rate": 1.823498139287613e-05,
1705
+ "loss": 3.566,
1706
+ "step": 23900
1707
+ },
1708
+ {
1709
+ "epoch": 3.827751196172249,
1710
+ "grad_norm": 676295.9375,
1711
+ "learning_rate": 1.8102073365231263e-05,
1712
+ "loss": 3.5208,
1713
+ "step": 24000
1714
+ },
1715
+ {
1716
+ "epoch": 3.843700159489633,
1717
+ "grad_norm": 705614.1875,
1718
+ "learning_rate": 1.7969165337586392e-05,
1719
+ "loss": 3.5108,
1720
+ "step": 24100
1721
+ },
1722
+ {
1723
+ "epoch": 3.8596491228070176,
1724
+ "grad_norm": 643356.125,
1725
+ "learning_rate": 1.7836257309941522e-05,
1726
+ "loss": 3.5416,
1727
+ "step": 24200
1728
+ },
1729
+ {
1730
+ "epoch": 3.875598086124402,
1731
+ "grad_norm": 783635.625,
1732
+ "learning_rate": 1.770334928229665e-05,
1733
+ "loss": 3.6022,
1734
+ "step": 24300
1735
+ },
1736
+ {
1737
+ "epoch": 3.8915470494417863,
1738
+ "grad_norm": 829787.5,
1739
+ "learning_rate": 1.757044125465178e-05,
1740
+ "loss": 3.6056,
1741
+ "step": 24400
1742
+ },
1743
+ {
1744
+ "epoch": 3.9074960127591707,
1745
+ "grad_norm": 776633.0625,
1746
+ "learning_rate": 1.743753322700691e-05,
1747
+ "loss": 3.5857,
1748
+ "step": 24500
1749
+ },
1750
+ {
1751
+ "epoch": 3.923444976076555,
1752
+ "grad_norm": 708855.1875,
1753
+ "learning_rate": 1.7304625199362044e-05,
1754
+ "loss": 3.6086,
1755
+ "step": 24600
1756
+ },
1757
+ {
1758
+ "epoch": 3.9393939393939394,
1759
+ "grad_norm": 906587.0,
1760
+ "learning_rate": 1.7171717171717173e-05,
1761
+ "loss": 3.5361,
1762
+ "step": 24700
1763
+ },
1764
+ {
1765
+ "epoch": 3.955342902711324,
1766
+ "grad_norm": 835950.4375,
1767
+ "learning_rate": 1.7038809144072303e-05,
1768
+ "loss": 3.5976,
1769
+ "step": 24800
1770
+ },
1771
+ {
1772
+ "epoch": 3.971291866028708,
1773
+ "grad_norm": 816570.6875,
1774
+ "learning_rate": 1.6905901116427433e-05,
1775
+ "loss": 3.596,
1776
+ "step": 24900
1777
+ },
1778
+ {
1779
+ "epoch": 3.9872408293460926,
1780
+ "grad_norm": 751378.9375,
1781
+ "learning_rate": 1.6772993088782562e-05,
1782
+ "loss": 3.4856,
1783
+ "step": 25000
1784
+ },
1785
+ {
1786
+ "epoch": 4.0,
1787
+ "eval_loss": 3.646216869354248,
1788
+ "eval_runtime": 212.927,
1789
+ "eval_samples_per_second": 134.426,
1790
+ "eval_steps_per_second": 4.203,
1791
+ "step": 25080
1792
+ },
1793
+ {
1794
+ "epoch": 4.003189792663477,
1795
+ "grad_norm": 735559.375,
1796
+ "learning_rate": 1.6640085061137695e-05,
1797
+ "loss": 3.5286,
1798
+ "step": 25100
1799
+ },
1800
+ {
1801
+ "epoch": 4.019138755980861,
1802
+ "grad_norm": 741852.3125,
1803
+ "learning_rate": 1.6507177033492825e-05,
1804
+ "loss": 3.5367,
1805
+ "step": 25200
1806
+ },
1807
+ {
1808
+ "epoch": 4.035087719298246,
1809
+ "grad_norm": 650216.625,
1810
+ "learning_rate": 1.6374269005847955e-05,
1811
+ "loss": 3.5056,
1812
+ "step": 25300
1813
+ },
1814
+ {
1815
+ "epoch": 4.05103668261563,
1816
+ "grad_norm": 717938.9375,
1817
+ "learning_rate": 1.6241360978203084e-05,
1818
+ "loss": 3.4996,
1819
+ "step": 25400
1820
+ },
1821
+ {
1822
+ "epoch": 4.0669856459330145,
1823
+ "grad_norm": 840426.9375,
1824
+ "learning_rate": 1.6108452950558214e-05,
1825
+ "loss": 3.5293,
1826
+ "step": 25500
1827
+ },
1828
+ {
1829
+ "epoch": 4.082934609250398,
1830
+ "grad_norm": 699668.5,
1831
+ "learning_rate": 1.5975544922913344e-05,
1832
+ "loss": 3.5122,
1833
+ "step": 25600
1834
+ },
1835
+ {
1836
+ "epoch": 4.098883572567783,
1837
+ "grad_norm": 649238.8125,
1838
+ "learning_rate": 1.5842636895268477e-05,
1839
+ "loss": 3.4949,
1840
+ "step": 25700
1841
+ },
1842
+ {
1843
+ "epoch": 4.114832535885167,
1844
+ "grad_norm": 669479.3125,
1845
+ "learning_rate": 1.5709728867623606e-05,
1846
+ "loss": 3.5515,
1847
+ "step": 25800
1848
+ },
1849
+ {
1850
+ "epoch": 4.130781499202552,
1851
+ "grad_norm": 645182.625,
1852
+ "learning_rate": 1.5576820839978733e-05,
1853
+ "loss": 3.5113,
1854
+ "step": 25900
1855
+ },
1856
+ {
1857
+ "epoch": 4.146730462519936,
1858
+ "grad_norm": 913136.6875,
1859
+ "learning_rate": 1.5443912812333866e-05,
1860
+ "loss": 3.5326,
1861
+ "step": 26000
1862
+ },
1863
+ {
1864
+ "epoch": 4.162679425837321,
1865
+ "grad_norm": 641233.3125,
1866
+ "learning_rate": 1.5311004784688995e-05,
1867
+ "loss": 3.4768,
1868
+ "step": 26100
1869
+ },
1870
+ {
1871
+ "epoch": 4.178628389154705,
1872
+ "grad_norm": 798713.5625,
1873
+ "learning_rate": 1.5178096757044127e-05,
1874
+ "loss": 3.4977,
1875
+ "step": 26200
1876
+ },
1877
+ {
1878
+ "epoch": 4.1945773524720895,
1879
+ "grad_norm": 719145.9375,
1880
+ "learning_rate": 1.5045188729399256e-05,
1881
+ "loss": 3.4549,
1882
+ "step": 26300
1883
+ },
1884
+ {
1885
+ "epoch": 4.2105263157894735,
1886
+ "grad_norm": 692601.9375,
1887
+ "learning_rate": 1.4912280701754386e-05,
1888
+ "loss": 3.5228,
1889
+ "step": 26400
1890
+ },
1891
+ {
1892
+ "epoch": 4.226475279106858,
1893
+ "grad_norm": 631408.4375,
1894
+ "learning_rate": 1.4779372674109517e-05,
1895
+ "loss": 3.4742,
1896
+ "step": 26500
1897
+ },
1898
+ {
1899
+ "epoch": 4.242424242424242,
1900
+ "grad_norm": 733137.0,
1901
+ "learning_rate": 1.4646464646464647e-05,
1902
+ "loss": 3.4242,
1903
+ "step": 26600
1904
+ },
1905
+ {
1906
+ "epoch": 4.258373205741627,
1907
+ "grad_norm": 741812.9375,
1908
+ "learning_rate": 1.4513556618819777e-05,
1909
+ "loss": 3.4598,
1910
+ "step": 26700
1911
+ },
1912
+ {
1913
+ "epoch": 4.274322169059011,
1914
+ "grad_norm": 682720.125,
1915
+ "learning_rate": 1.4380648591174908e-05,
1916
+ "loss": 3.4827,
1917
+ "step": 26800
1918
+ },
1919
+ {
1920
+ "epoch": 4.290271132376396,
1921
+ "grad_norm": 784646.125,
1922
+ "learning_rate": 1.4247740563530037e-05,
1923
+ "loss": 3.4712,
1924
+ "step": 26900
1925
+ },
1926
+ {
1927
+ "epoch": 4.30622009569378,
1928
+ "grad_norm": 713282.75,
1929
+ "learning_rate": 1.4114832535885167e-05,
1930
+ "loss": 3.5542,
1931
+ "step": 27000
1932
+ },
1933
+ {
1934
+ "epoch": 4.3221690590111645,
1935
+ "grad_norm": 699440.4375,
1936
+ "learning_rate": 1.3981924508240298e-05,
1937
+ "loss": 3.4572,
1938
+ "step": 27100
1939
+ },
1940
+ {
1941
+ "epoch": 4.3381180223285485,
1942
+ "grad_norm": 733063.875,
1943
+ "learning_rate": 1.3849016480595428e-05,
1944
+ "loss": 3.4106,
1945
+ "step": 27200
1946
+ },
1947
+ {
1948
+ "epoch": 4.354066985645933,
1949
+ "grad_norm": 799606.875,
1950
+ "learning_rate": 1.371610845295056e-05,
1951
+ "loss": 3.4189,
1952
+ "step": 27300
1953
+ },
1954
+ {
1955
+ "epoch": 4.370015948963317,
1956
+ "grad_norm": 722583.25,
1957
+ "learning_rate": 1.3583200425305689e-05,
1958
+ "loss": 3.448,
1959
+ "step": 27400
1960
+ },
1961
+ {
1962
+ "epoch": 4.385964912280702,
1963
+ "grad_norm": 761491.5625,
1964
+ "learning_rate": 1.3450292397660819e-05,
1965
+ "loss": 3.5248,
1966
+ "step": 27500
1967
+ },
1968
+ {
1969
+ "epoch": 4.401913875598086,
1970
+ "grad_norm": 633397.6875,
1971
+ "learning_rate": 1.331738437001595e-05,
1972
+ "loss": 3.5675,
1973
+ "step": 27600
1974
+ },
1975
+ {
1976
+ "epoch": 4.417862838915471,
1977
+ "grad_norm": 743160.4375,
1978
+ "learning_rate": 1.318447634237108e-05,
1979
+ "loss": 3.4983,
1980
+ "step": 27700
1981
+ },
1982
+ {
1983
+ "epoch": 4.433811802232855,
1984
+ "grad_norm": 689363.3125,
1985
+ "learning_rate": 1.305156831472621e-05,
1986
+ "loss": 3.5689,
1987
+ "step": 27800
1988
+ },
1989
+ {
1990
+ "epoch": 4.44976076555024,
1991
+ "grad_norm": 634674.0,
1992
+ "learning_rate": 1.291866028708134e-05,
1993
+ "loss": 3.4763,
1994
+ "step": 27900
1995
+ },
1996
+ {
1997
+ "epoch": 4.4657097288676235,
1998
+ "grad_norm": 682868.5,
1999
+ "learning_rate": 1.278575225943647e-05,
2000
+ "loss": 3.4725,
2001
+ "step": 28000
2002
+ },
2003
+ {
2004
+ "epoch": 4.481658692185008,
2005
+ "grad_norm": 839863.0,
2006
+ "learning_rate": 1.26528442317916e-05,
2007
+ "loss": 3.5255,
2008
+ "step": 28100
2009
+ },
2010
+ {
2011
+ "epoch": 4.497607655502392,
2012
+ "grad_norm": 840497.0625,
2013
+ "learning_rate": 1.2519936204146731e-05,
2014
+ "loss": 3.4914,
2015
+ "step": 28200
2016
+ },
2017
+ {
2018
+ "epoch": 4.513556618819777,
2019
+ "grad_norm": 798480.8125,
2020
+ "learning_rate": 1.2387028176501861e-05,
2021
+ "loss": 3.4787,
2022
+ "step": 28300
2023
+ },
2024
+ {
2025
+ "epoch": 4.529505582137161,
2026
+ "grad_norm": 776783.625,
2027
+ "learning_rate": 1.2254120148856992e-05,
2028
+ "loss": 3.4817,
2029
+ "step": 28400
2030
+ },
2031
+ {
2032
+ "epoch": 4.545454545454545,
2033
+ "grad_norm": 860058.625,
2034
+ "learning_rate": 1.2121212121212122e-05,
2035
+ "loss": 3.515,
2036
+ "step": 28500
2037
+ },
2038
+ {
2039
+ "epoch": 4.56140350877193,
2040
+ "grad_norm": 797709.0,
2041
+ "learning_rate": 1.1988304093567252e-05,
2042
+ "loss": 3.4715,
2043
+ "step": 28600
2044
+ },
2045
+ {
2046
+ "epoch": 4.577352472089315,
2047
+ "grad_norm": 686232.0,
2048
+ "learning_rate": 1.1855396065922381e-05,
2049
+ "loss": 3.493,
2050
+ "step": 28700
2051
+ },
2052
+ {
2053
+ "epoch": 4.5933014354066986,
2054
+ "grad_norm": 713671.875,
2055
+ "learning_rate": 1.1722488038277513e-05,
2056
+ "loss": 3.4767,
2057
+ "step": 28800
2058
+ },
2059
+ {
2060
+ "epoch": 4.6092503987240825,
2061
+ "grad_norm": 830858.875,
2062
+ "learning_rate": 1.1589580010632644e-05,
2063
+ "loss": 3.5506,
2064
+ "step": 28900
2065
+ },
2066
+ {
2067
+ "epoch": 4.625199362041467,
2068
+ "grad_norm": 681684.8125,
2069
+ "learning_rate": 1.1456671982987772e-05,
2070
+ "loss": 3.468,
2071
+ "step": 29000
2072
+ },
2073
+ {
2074
+ "epoch": 4.641148325358852,
2075
+ "grad_norm": 693863.25,
2076
+ "learning_rate": 1.1323763955342903e-05,
2077
+ "loss": 3.4847,
2078
+ "step": 29100
2079
+ },
2080
+ {
2081
+ "epoch": 4.657097288676236,
2082
+ "grad_norm": 612233.75,
2083
+ "learning_rate": 1.1190855927698035e-05,
2084
+ "loss": 3.3994,
2085
+ "step": 29200
2086
+ },
2087
+ {
2088
+ "epoch": 4.67304625199362,
2089
+ "grad_norm": 901251.25,
2090
+ "learning_rate": 1.1057947900053164e-05,
2091
+ "loss": 3.5144,
2092
+ "step": 29300
2093
+ },
2094
+ {
2095
+ "epoch": 4.688995215311005,
2096
+ "grad_norm": 742618.4375,
2097
+ "learning_rate": 1.0925039872408294e-05,
2098
+ "loss": 3.5388,
2099
+ "step": 29400
2100
+ },
2101
+ {
2102
+ "epoch": 4.70494417862839,
2103
+ "grad_norm": 797654.0,
2104
+ "learning_rate": 1.0792131844763423e-05,
2105
+ "loss": 3.4722,
2106
+ "step": 29500
2107
+ },
2108
+ {
2109
+ "epoch": 4.720893141945774,
2110
+ "grad_norm": 763737.9375,
2111
+ "learning_rate": 1.0659223817118555e-05,
2112
+ "loss": 3.5006,
2113
+ "step": 29600
2114
+ },
2115
+ {
2116
+ "epoch": 4.7368421052631575,
2117
+ "grad_norm": 702353.875,
2118
+ "learning_rate": 1.0526315789473684e-05,
2119
+ "loss": 3.4772,
2120
+ "step": 29700
2121
+ },
2122
+ {
2123
+ "epoch": 4.752791068580542,
2124
+ "grad_norm": 790482.1875,
2125
+ "learning_rate": 1.0393407761828814e-05,
2126
+ "loss": 3.4507,
2127
+ "step": 29800
2128
+ },
2129
+ {
2130
+ "epoch": 4.768740031897926,
2131
+ "grad_norm": 706455.9375,
2132
+ "learning_rate": 1.0260499734183945e-05,
2133
+ "loss": 3.4769,
2134
+ "step": 29900
2135
+ },
2136
+ {
2137
+ "epoch": 4.784688995215311,
2138
+ "grad_norm": 720554.3125,
2139
+ "learning_rate": 1.0127591706539077e-05,
2140
+ "loss": 3.4551,
2141
+ "step": 30000
2142
+ },
2143
+ {
2144
+ "epoch": 4.800637958532695,
2145
+ "grad_norm": 754827.6875,
2146
+ "learning_rate": 9.994683678894205e-06,
2147
+ "loss": 3.4982,
2148
+ "step": 30100
2149
+ },
2150
+ {
2151
+ "epoch": 4.81658692185008,
2152
+ "grad_norm": 696089.375,
2153
+ "learning_rate": 9.861775651249336e-06,
2154
+ "loss": 3.4637,
2155
+ "step": 30200
2156
+ },
2157
+ {
2158
+ "epoch": 4.832535885167464,
2159
+ "grad_norm": 737095.3125,
2160
+ "learning_rate": 9.728867623604466e-06,
2161
+ "loss": 3.4621,
2162
+ "step": 30300
2163
+ },
2164
+ {
2165
+ "epoch": 4.848484848484849,
2166
+ "grad_norm": 768262.125,
2167
+ "learning_rate": 9.595959595959595e-06,
2168
+ "loss": 3.48,
2169
+ "step": 30400
2170
+ },
2171
+ {
2172
+ "epoch": 4.8644338118022326,
2173
+ "grad_norm": 767420.5625,
2174
+ "learning_rate": 9.463051568314727e-06,
2175
+ "loss": 3.4463,
2176
+ "step": 30500
2177
+ },
2178
+ {
2179
+ "epoch": 4.880382775119617,
2180
+ "grad_norm": 706310.0,
2181
+ "learning_rate": 9.330143540669856e-06,
2182
+ "loss": 3.4668,
2183
+ "step": 30600
2184
+ },
2185
+ {
2186
+ "epoch": 4.896331738437001,
2187
+ "grad_norm": 828940.625,
2188
+ "learning_rate": 9.197235513024988e-06,
2189
+ "loss": 3.4377,
2190
+ "step": 30700
2191
+ },
2192
+ {
2193
+ "epoch": 4.912280701754386,
2194
+ "grad_norm": 788075.375,
2195
+ "learning_rate": 9.064327485380117e-06,
2196
+ "loss": 3.4144,
2197
+ "step": 30800
2198
+ },
2199
+ {
2200
+ "epoch": 4.92822966507177,
2201
+ "grad_norm": 805364.0625,
2202
+ "learning_rate": 8.931419457735247e-06,
2203
+ "loss": 3.4726,
2204
+ "step": 30900
2205
+ },
2206
+ {
2207
+ "epoch": 4.944178628389155,
2208
+ "grad_norm": 604472.75,
2209
+ "learning_rate": 8.798511430090378e-06,
2210
+ "loss": 3.4936,
2211
+ "step": 31000
2212
+ },
2213
+ {
2214
+ "epoch": 4.960127591706539,
2215
+ "grad_norm": 684835.3125,
2216
+ "learning_rate": 8.66560340244551e-06,
2217
+ "loss": 3.4637,
2218
+ "step": 31100
2219
+ },
2220
+ {
2221
+ "epoch": 4.976076555023924,
2222
+ "grad_norm": 684998.5,
2223
+ "learning_rate": 8.532695374800638e-06,
2224
+ "loss": 3.5321,
2225
+ "step": 31200
2226
+ },
2227
+ {
2228
+ "epoch": 4.992025518341308,
2229
+ "grad_norm": 711871.5625,
2230
+ "learning_rate": 8.399787347155769e-06,
2231
+ "loss": 3.4809,
2232
+ "step": 31300
2233
+ },
2234
+ {
2235
+ "epoch": 5.0,
2236
+ "eval_loss": 3.6019129753112793,
2237
+ "eval_runtime": 212.6906,
2238
+ "eval_samples_per_second": 134.576,
2239
+ "eval_steps_per_second": 4.208,
2240
+ "step": 31350
2241
+ },
2242
+ {
2243
+ "epoch": 5.007974481658692,
2244
+ "grad_norm": 1041463.125,
2245
+ "learning_rate": 8.266879319510899e-06,
2246
+ "loss": 3.4055,
2247
+ "step": 31400
2248
+ },
2249
+ {
2250
+ "epoch": 5.023923444976076,
2251
+ "grad_norm": 623676.3125,
2252
+ "learning_rate": 8.133971291866028e-06,
2253
+ "loss": 3.5315,
2254
+ "step": 31500
2255
+ },
2256
+ {
2257
+ "epoch": 5.039872408293461,
2258
+ "grad_norm": 619523.9375,
2259
+ "learning_rate": 8.00106326422116e-06,
2260
+ "loss": 3.4709,
2261
+ "step": 31600
2262
+ },
2263
+ {
2264
+ "epoch": 5.055821371610845,
2265
+ "grad_norm": 779379.875,
2266
+ "learning_rate": 7.86815523657629e-06,
2267
+ "loss": 3.3933,
2268
+ "step": 31700
2269
+ },
2270
+ {
2271
+ "epoch": 5.07177033492823,
2272
+ "grad_norm": 617667.5625,
2273
+ "learning_rate": 7.73524720893142e-06,
2274
+ "loss": 3.4738,
2275
+ "step": 31800
2276
+ },
2277
+ {
2278
+ "epoch": 5.087719298245614,
2279
+ "grad_norm": 691351.5625,
2280
+ "learning_rate": 7.602339181286549e-06,
2281
+ "loss": 3.4499,
2282
+ "step": 31900
2283
+ },
2284
+ {
2285
+ "epoch": 5.103668261562999,
2286
+ "grad_norm": 702913.25,
2287
+ "learning_rate": 7.469431153641681e-06,
2288
+ "loss": 3.4476,
2289
+ "step": 32000
2290
+ },
2291
+ {
2292
+ "epoch": 5.119617224880383,
2293
+ "grad_norm": 778967.4375,
2294
+ "learning_rate": 7.336523125996811e-06,
2295
+ "loss": 3.4689,
2296
+ "step": 32100
2297
+ },
2298
+ {
2299
+ "epoch": 5.1355661881977674,
2300
+ "grad_norm": 693687.3125,
2301
+ "learning_rate": 7.20361509835194e-06,
2302
+ "loss": 3.381,
2303
+ "step": 32200
2304
+ },
2305
+ {
2306
+ "epoch": 5.151515151515151,
2307
+ "grad_norm": 843375.5,
2308
+ "learning_rate": 7.0707070707070704e-06,
2309
+ "loss": 3.438,
2310
+ "step": 32300
2311
+ },
2312
+ {
2313
+ "epoch": 5.167464114832536,
2314
+ "grad_norm": 734730.5,
2315
+ "learning_rate": 6.937799043062202e-06,
2316
+ "loss": 3.4564,
2317
+ "step": 32400
2318
+ },
2319
+ {
2320
+ "epoch": 5.18341307814992,
2321
+ "grad_norm": 716158.375,
2322
+ "learning_rate": 6.804891015417332e-06,
2323
+ "loss": 3.4529,
2324
+ "step": 32500
2325
+ },
2326
+ {
2327
+ "epoch": 5.199362041467305,
2328
+ "grad_norm": 703040.625,
2329
+ "learning_rate": 6.671982987772461e-06,
2330
+ "loss": 3.391,
2331
+ "step": 32600
2332
+ },
2333
+ {
2334
+ "epoch": 5.215311004784689,
2335
+ "grad_norm": 636837.3125,
2336
+ "learning_rate": 6.5390749601275915e-06,
2337
+ "loss": 3.4174,
2338
+ "step": 32700
2339
+ },
2340
+ {
2341
+ "epoch": 5.231259968102074,
2342
+ "grad_norm": 661893.6875,
2343
+ "learning_rate": 6.406166932482723e-06,
2344
+ "loss": 3.4256,
2345
+ "step": 32800
2346
+ },
2347
+ {
2348
+ "epoch": 5.247208931419458,
2349
+ "grad_norm": 812641.0625,
2350
+ "learning_rate": 6.273258904837853e-06,
2351
+ "loss": 3.4981,
2352
+ "step": 32900
2353
+ },
2354
+ {
2355
+ "epoch": 5.2631578947368425,
2356
+ "grad_norm": 725753.125,
2357
+ "learning_rate": 6.140350877192982e-06,
2358
+ "loss": 3.5018,
2359
+ "step": 33000
2360
+ },
2361
+ {
2362
+ "epoch": 5.279106858054226,
2363
+ "grad_norm": 691768.3125,
2364
+ "learning_rate": 6.007442849548113e-06,
2365
+ "loss": 3.3969,
2366
+ "step": 33100
2367
+ },
2368
+ {
2369
+ "epoch": 5.295055821371611,
2370
+ "grad_norm": 776131.9375,
2371
+ "learning_rate": 5.874534821903243e-06,
2372
+ "loss": 3.4489,
2373
+ "step": 33200
2374
+ },
2375
+ {
2376
+ "epoch": 5.311004784688995,
2377
+ "grad_norm": 747268.25,
2378
+ "learning_rate": 5.741626794258374e-06,
2379
+ "loss": 3.4075,
2380
+ "step": 33300
2381
+ },
2382
+ {
2383
+ "epoch": 5.32695374800638,
2384
+ "grad_norm": 864468.1875,
2385
+ "learning_rate": 5.608718766613503e-06,
2386
+ "loss": 3.4443,
2387
+ "step": 33400
2388
+ },
2389
+ {
2390
+ "epoch": 5.342902711323764,
2391
+ "grad_norm": 729350.5,
2392
+ "learning_rate": 5.475810738968634e-06,
2393
+ "loss": 3.4189,
2394
+ "step": 33500
2395
+ },
2396
+ {
2397
+ "epoch": 5.358851674641148,
2398
+ "grad_norm": 687491.0625,
2399
+ "learning_rate": 5.342902711323764e-06,
2400
+ "loss": 3.4167,
2401
+ "step": 33600
2402
+ },
2403
+ {
2404
+ "epoch": 5.374800637958533,
2405
+ "grad_norm": 682089.125,
2406
+ "learning_rate": 5.209994683678895e-06,
2407
+ "loss": 3.3691,
2408
+ "step": 33700
2409
+ },
2410
+ {
2411
+ "epoch": 5.3907496012759175,
2412
+ "grad_norm": 698959.25,
2413
+ "learning_rate": 5.077086656034024e-06,
2414
+ "loss": 3.4449,
2415
+ "step": 33800
2416
+ },
2417
+ {
2418
+ "epoch": 5.4066985645933014,
2419
+ "grad_norm": 671919.375,
2420
+ "learning_rate": 4.944178628389155e-06,
2421
+ "loss": 3.4421,
2422
+ "step": 33900
2423
+ },
2424
+ {
2425
+ "epoch": 5.422647527910685,
2426
+ "grad_norm": 647332.125,
2427
+ "learning_rate": 4.811270600744285e-06,
2428
+ "loss": 3.4529,
2429
+ "step": 34000
2430
+ },
2431
+ {
2432
+ "epoch": 5.43859649122807,
2433
+ "grad_norm": 686242.25,
2434
+ "learning_rate": 4.678362573099415e-06,
2435
+ "loss": 3.3381,
2436
+ "step": 34100
2437
+ },
2438
+ {
2439
+ "epoch": 5.454545454545454,
2440
+ "grad_norm": 936387.5,
2441
+ "learning_rate": 4.5454545454545455e-06,
2442
+ "loss": 3.4765,
2443
+ "step": 34200
2444
+ },
2445
+ {
2446
+ "epoch": 5.470494417862839,
2447
+ "grad_norm": 662910.3125,
2448
+ "learning_rate": 4.412546517809676e-06,
2449
+ "loss": 3.3729,
2450
+ "step": 34300
2451
+ },
2452
+ {
2453
+ "epoch": 5.486443381180223,
2454
+ "grad_norm": 671547.0,
2455
+ "learning_rate": 4.2796384901648065e-06,
2456
+ "loss": 3.4489,
2457
+ "step": 34400
2458
+ },
2459
+ {
2460
+ "epoch": 5.502392344497608,
2461
+ "grad_norm": 777179.3125,
2462
+ "learning_rate": 4.146730462519936e-06,
2463
+ "loss": 3.424,
2464
+ "step": 34500
2465
+ },
2466
+ {
2467
+ "epoch": 5.518341307814992,
2468
+ "grad_norm": 628742.25,
2469
+ "learning_rate": 4.013822434875067e-06,
2470
+ "loss": 3.4128,
2471
+ "step": 34600
2472
+ },
2473
+ {
2474
+ "epoch": 5.5342902711323765,
2475
+ "grad_norm": 794101.75,
2476
+ "learning_rate": 3.880914407230197e-06,
2477
+ "loss": 3.3938,
2478
+ "step": 34700
2479
+ },
2480
+ {
2481
+ "epoch": 5.55023923444976,
2482
+ "grad_norm": 720820.4375,
2483
+ "learning_rate": 3.7480063795853268e-06,
2484
+ "loss": 3.3622,
2485
+ "step": 34800
2486
+ },
2487
+ {
2488
+ "epoch": 5.566188197767145,
2489
+ "grad_norm": 686912.5,
2490
+ "learning_rate": 3.6150983519404573e-06,
2491
+ "loss": 3.3896,
2492
+ "step": 34900
2493
+ },
2494
+ {
2495
+ "epoch": 5.582137161084529,
2496
+ "grad_norm": 758477.0,
2497
+ "learning_rate": 3.4821903242955873e-06,
2498
+ "loss": 3.4494,
2499
+ "step": 35000
2500
+ },
2501
+ {
2502
+ "epoch": 5.598086124401914,
2503
+ "grad_norm": 828910.875,
2504
+ "learning_rate": 3.349282296650718e-06,
2505
+ "loss": 3.4204,
2506
+ "step": 35100
2507
+ },
2508
+ {
2509
+ "epoch": 5.614035087719298,
2510
+ "grad_norm": 650998.8125,
2511
+ "learning_rate": 3.216374269005848e-06,
2512
+ "loss": 3.4115,
2513
+ "step": 35200
2514
+ },
2515
+ {
2516
+ "epoch": 5.629984051036683,
2517
+ "grad_norm": 681491.375,
2518
+ "learning_rate": 3.0834662413609784e-06,
2519
+ "loss": 3.3861,
2520
+ "step": 35300
2521
+ },
2522
+ {
2523
+ "epoch": 5.645933014354067,
2524
+ "grad_norm": 749556.875,
2525
+ "learning_rate": 2.9505582137161084e-06,
2526
+ "loss": 3.4175,
2527
+ "step": 35400
2528
+ },
2529
+ {
2530
+ "epoch": 5.6618819776714515,
2531
+ "grad_norm": 677371.6875,
2532
+ "learning_rate": 2.817650186071239e-06,
2533
+ "loss": 3.4571,
2534
+ "step": 35500
2535
+ },
2536
+ {
2537
+ "epoch": 5.6778309409888355,
2538
+ "grad_norm": 730101.5625,
2539
+ "learning_rate": 2.684742158426369e-06,
2540
+ "loss": 3.3966,
2541
+ "step": 35600
2542
+ },
2543
+ {
2544
+ "epoch": 5.69377990430622,
2545
+ "grad_norm": 657353.375,
2546
+ "learning_rate": 2.5518341307814995e-06,
2547
+ "loss": 3.4639,
2548
+ "step": 35700
2549
+ },
2550
+ {
2551
+ "epoch": 5.709728867623604,
2552
+ "grad_norm": 734038.0,
2553
+ "learning_rate": 2.4189261031366296e-06,
2554
+ "loss": 3.3982,
2555
+ "step": 35800
2556
+ },
2557
+ {
2558
+ "epoch": 5.725677830940989,
2559
+ "grad_norm": 719495.625,
2560
+ "learning_rate": 2.28601807549176e-06,
2561
+ "loss": 3.4221,
2562
+ "step": 35900
2563
+ },
2564
+ {
2565
+ "epoch": 5.741626794258373,
2566
+ "grad_norm": 686361.0625,
2567
+ "learning_rate": 2.15311004784689e-06,
2568
+ "loss": 3.4886,
2569
+ "step": 36000
2570
+ },
2571
+ {
2572
+ "epoch": 5.757575757575758,
2573
+ "grad_norm": 804130.625,
2574
+ "learning_rate": 2.0202020202020206e-06,
2575
+ "loss": 3.4364,
2576
+ "step": 36100
2577
+ },
2578
+ {
2579
+ "epoch": 5.773524720893142,
2580
+ "grad_norm": 713737.5625,
2581
+ "learning_rate": 1.8872939925571505e-06,
2582
+ "loss": 3.391,
2583
+ "step": 36200
2584
+ },
2585
+ {
2586
+ "epoch": 5.7894736842105265,
2587
+ "grad_norm": 734503.125,
2588
+ "learning_rate": 1.7543859649122807e-06,
2589
+ "loss": 3.4291,
2590
+ "step": 36300
2591
+ },
2592
+ {
2593
+ "epoch": 5.8054226475279105,
2594
+ "grad_norm": 673341.3125,
2595
+ "learning_rate": 1.621477937267411e-06,
2596
+ "loss": 3.4816,
2597
+ "step": 36400
2598
+ },
2599
+ {
2600
+ "epoch": 5.821371610845295,
2601
+ "grad_norm": 643799.3125,
2602
+ "learning_rate": 1.4885699096225413e-06,
2603
+ "loss": 3.4221,
2604
+ "step": 36500
2605
+ },
2606
+ {
2607
+ "epoch": 5.837320574162679,
2608
+ "grad_norm": 641417.125,
2609
+ "learning_rate": 1.3556618819776716e-06,
2610
+ "loss": 3.4331,
2611
+ "step": 36600
2612
+ },
2613
+ {
2614
+ "epoch": 5.853269537480064,
2615
+ "grad_norm": 707790.25,
2616
+ "learning_rate": 1.2227538543328019e-06,
2617
+ "loss": 3.3936,
2618
+ "step": 36700
2619
+ },
2620
+ {
2621
+ "epoch": 5.869218500797448,
2622
+ "grad_norm": 734012.3125,
2623
+ "learning_rate": 1.089845826687932e-06,
2624
+ "loss": 3.4258,
2625
+ "step": 36800
2626
+ },
2627
+ {
2628
+ "epoch": 5.885167464114833,
2629
+ "grad_norm": 672716.0,
2630
+ "learning_rate": 9.569377990430622e-07,
2631
+ "loss": 3.4688,
2632
+ "step": 36900
2633
+ },
2634
+ {
2635
+ "epoch": 5.901116427432217,
2636
+ "grad_norm": 691052.75,
2637
+ "learning_rate": 8.240297713981925e-07,
2638
+ "loss": 3.3553,
2639
+ "step": 37000
2640
+ },
2641
+ {
2642
+ "epoch": 5.917065390749602,
2643
+ "grad_norm": 714107.875,
2644
+ "learning_rate": 6.911217437533228e-07,
2645
+ "loss": 3.4735,
2646
+ "step": 37100
2647
+ },
2648
+ {
2649
+ "epoch": 5.9330143540669855,
2650
+ "grad_norm": 783142.9375,
2651
+ "learning_rate": 5.582137161084529e-07,
2652
+ "loss": 3.4707,
2653
+ "step": 37200
2654
+ },
2655
+ {
2656
+ "epoch": 5.94896331738437,
2657
+ "grad_norm": 793443.25,
2658
+ "learning_rate": 4.2530568846358327e-07,
2659
+ "loss": 3.4279,
2660
+ "step": 37300
2661
+ },
2662
+ {
2663
+ "epoch": 5.964912280701754,
2664
+ "grad_norm": 828328.5625,
2665
+ "learning_rate": 2.9239766081871344e-07,
2666
+ "loss": 3.4171,
2667
+ "step": 37400
2668
+ },
2669
+ {
2670
+ "epoch": 5.980861244019139,
2671
+ "grad_norm": 826741.5625,
2672
+ "learning_rate": 1.5948963317384372e-07,
2673
+ "loss": 3.5064,
2674
+ "step": 37500
2675
+ },
2676
+ {
2677
+ "epoch": 5.996810207336523,
2678
+ "grad_norm": 698366.375,
2679
+ "learning_rate": 2.6581605528973954e-08,
2680
+ "loss": 3.42,
2681
+ "step": 37600
2682
+ },
2683
+ {
2684
+ "epoch": 6.0,
2685
+ "eval_loss": 3.615572929382324,
2686
+ "eval_runtime": 213.1542,
2687
+ "eval_samples_per_second": 134.283,
2688
+ "eval_steps_per_second": 4.199,
2689
+ "step": 37620
2690
+ }
2691
+ ],
2692
+ "logging_steps": 100,
2693
+ "max_steps": 37620,
2694
+ "num_input_tokens_seen": 0,
2695
+ "num_train_epochs": 6,
2696
+ "save_steps": 500,
2697
+ "stateful_callbacks": {
2698
+ "TrainerControl": {
2699
+ "args": {
2700
+ "should_epoch_stop": false,
2701
+ "should_evaluate": false,
2702
+ "should_log": false,
2703
+ "should_save": true,
2704
+ "should_training_stop": true
2705
+ },
2706
+ "attributes": {}
2707
+ }
2708
+ },
2709
+ "total_flos": 4.65721373251031e+16,
2710
+ "train_batch_size": 32,
2711
+ "trial_name": null,
2712
+ "trial_params": null
2713
+ }
checkpoint-37620/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e6d8905717aeff0bee4d2b97e0432173098aa3c32a8f4e99a68f0803ee335cd
3
+ size 5240
checkpoint-37620/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Ransaka/sinhala-bert-medium-v2",
3
+ "architectures": [
4
+ "BertForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 786,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 1024,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 256,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 6,
17
+ "num_hidden_layers": 6,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.47.0",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 32000
25
+ }
generation_config.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "pad_token_id": 0,
4
+ "transformers_version": "4.47.0"
5
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51874da6e509fec39e26442cbb403925b98087382b3935fe751f465f12a14781
3
+ size 202182680
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": false,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "BertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff