Training in progress, epoch 3, checkpoint
Browse files
checkpoint-300/config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/deberta-large",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 1024,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 4096,
|
12 |
+
"layer_norm_eps": 1e-07,
|
13 |
+
"legacy": true,
|
14 |
+
"max_position_embeddings": 512,
|
15 |
+
"max_relative_positions": -1,
|
16 |
+
"model_type": "deberta",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"pooler_dropout": 0,
|
21 |
+
"pooler_hidden_act": "gelu",
|
22 |
+
"pooler_hidden_size": 1024,
|
23 |
+
"pos_att_type": [
|
24 |
+
"c2p",
|
25 |
+
"p2c"
|
26 |
+
],
|
27 |
+
"position_biased_input": false,
|
28 |
+
"relative_attention": true,
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"transformers_version": "4.48.3",
|
31 |
+
"type_vocab_size": 0,
|
32 |
+
"vocab_size": 50265
|
33 |
+
}
|
checkpoint-300/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e99be98a6a9c7ba9ca7d73050c71fb07a9bf2983d97c2e0ad8040cd1f97bced4
|
3 |
+
size 1624907048
|
checkpoint-300/trainer_state.json
ADDED
@@ -0,0 +1,171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.5,
|
13 |
+
"grad_norm": 6.080199718475342,
|
14 |
+
"learning_rate": 1.8333333333333333e-05,
|
15 |
+
"loss": 0.5304,
|
16 |
+
"step": 50
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.5,
|
20 |
+
"eval_pet_AUC": 0.8846723646723647,
|
21 |
+
"eval_pet_accuracy": 0.825,
|
22 |
+
"eval_pet_f1": 0.7569444444444444,
|
23 |
+
"eval_pet_loss": 0.4055028557777405,
|
24 |
+
"eval_pet_macro_f1": 0.8101128472222222,
|
25 |
+
"eval_pet_micro_f1": 0.825,
|
26 |
+
"eval_pet_precision": 0.689873417721519,
|
27 |
+
"eval_pet_recall": 0.8384615384615385,
|
28 |
+
"eval_pet_runtime": 0.9669,
|
29 |
+
"eval_pet_samples_per_second": 413.704,
|
30 |
+
"eval_pet_specificity": 0.8185185185185185,
|
31 |
+
"eval_pet_steps_per_second": 1.034,
|
32 |
+
"step": 50
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.0,
|
36 |
+
"grad_norm": 7.429731369018555,
|
37 |
+
"learning_rate": 1.6666666666666667e-05,
|
38 |
+
"loss": 0.4825,
|
39 |
+
"step": 100
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 1.0,
|
43 |
+
"eval_pet_AUC": 0.9121652421652421,
|
44 |
+
"eval_pet_accuracy": 0.8325,
|
45 |
+
"eval_pet_f1": 0.7598566308243727,
|
46 |
+
"eval_pet_loss": 0.35728055238723755,
|
47 |
+
"eval_pet_macro_f1": 0.8156288912279253,
|
48 |
+
"eval_pet_micro_f1": 0.8325,
|
49 |
+
"eval_pet_precision": 0.7114093959731543,
|
50 |
+
"eval_pet_recall": 0.8153846153846154,
|
51 |
+
"eval_pet_runtime": 0.9571,
|
52 |
+
"eval_pet_samples_per_second": 417.916,
|
53 |
+
"eval_pet_specificity": 0.8407407407407408,
|
54 |
+
"eval_pet_steps_per_second": 1.045,
|
55 |
+
"step": 100
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"epoch": 1.5,
|
59 |
+
"grad_norm": 7.952208042144775,
|
60 |
+
"learning_rate": 1.5000000000000002e-05,
|
61 |
+
"loss": 0.3115,
|
62 |
+
"step": 150
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 1.5,
|
66 |
+
"eval_pet_AUC": 0.9031339031339031,
|
67 |
+
"eval_pet_accuracy": 0.85,
|
68 |
+
"eval_pet_f1": 0.7744360902255639,
|
69 |
+
"eval_pet_loss": 0.5131158828735352,
|
70 |
+
"eval_pet_macro_f1": 0.831038269831883,
|
71 |
+
"eval_pet_micro_f1": 0.85,
|
72 |
+
"eval_pet_precision": 0.7573529411764706,
|
73 |
+
"eval_pet_recall": 0.7923076923076923,
|
74 |
+
"eval_pet_runtime": 0.9601,
|
75 |
+
"eval_pet_samples_per_second": 416.631,
|
76 |
+
"eval_pet_specificity": 0.8777777777777778,
|
77 |
+
"eval_pet_steps_per_second": 1.042,
|
78 |
+
"step": 150
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 2.0,
|
82 |
+
"grad_norm": 3.0394058227539062,
|
83 |
+
"learning_rate": 1.3333333333333333e-05,
|
84 |
+
"loss": 0.2963,
|
85 |
+
"step": 200
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 2.0,
|
89 |
+
"eval_pet_AUC": 0.9202564102564103,
|
90 |
+
"eval_pet_accuracy": 0.8425,
|
91 |
+
"eval_pet_f1": 0.7622641509433963,
|
92 |
+
"eval_pet_loss": 0.3516935706138611,
|
93 |
+
"eval_pet_macro_f1": 0.822253570798801,
|
94 |
+
"eval_pet_micro_f1": 0.8425,
|
95 |
+
"eval_pet_precision": 0.7481481481481481,
|
96 |
+
"eval_pet_recall": 0.7769230769230769,
|
97 |
+
"eval_pet_runtime": 0.9543,
|
98 |
+
"eval_pet_samples_per_second": 419.175,
|
99 |
+
"eval_pet_specificity": 0.8740740740740741,
|
100 |
+
"eval_pet_steps_per_second": 1.048,
|
101 |
+
"step": 200
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 2.5,
|
105 |
+
"grad_norm": 13.06711483001709,
|
106 |
+
"learning_rate": 1.1666666666666668e-05,
|
107 |
+
"loss": 0.2196,
|
108 |
+
"step": 250
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 2.5,
|
112 |
+
"eval_pet_AUC": 0.9203703703703704,
|
113 |
+
"eval_pet_accuracy": 0.85,
|
114 |
+
"eval_pet_f1": 0.7902097902097902,
|
115 |
+
"eval_pet_loss": 0.4240196645259857,
|
116 |
+
"eval_pet_macro_f1": 0.8367391363500313,
|
117 |
+
"eval_pet_micro_f1": 0.85,
|
118 |
+
"eval_pet_precision": 0.7243589743589743,
|
119 |
+
"eval_pet_recall": 0.8692307692307693,
|
120 |
+
"eval_pet_runtime": 0.9601,
|
121 |
+
"eval_pet_samples_per_second": 416.603,
|
122 |
+
"eval_pet_specificity": 0.8407407407407408,
|
123 |
+
"eval_pet_steps_per_second": 1.042,
|
124 |
+
"step": 250
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 3.0,
|
128 |
+
"grad_norm": 18.414968490600586,
|
129 |
+
"learning_rate": 1e-05,
|
130 |
+
"loss": 0.1567,
|
131 |
+
"step": 300
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 3.0,
|
135 |
+
"eval_pet_AUC": 0.9211965811965812,
|
136 |
+
"eval_pet_accuracy": 0.8475,
|
137 |
+
"eval_pet_f1": 0.769811320754717,
|
138 |
+
"eval_pet_loss": 0.492168128490448,
|
139 |
+
"eval_pet_macro_f1": 0.827896314582966,
|
140 |
+
"eval_pet_micro_f1": 0.8475,
|
141 |
+
"eval_pet_precision": 0.7555555555555555,
|
142 |
+
"eval_pet_recall": 0.7846153846153846,
|
143 |
+
"eval_pet_runtime": 0.9572,
|
144 |
+
"eval_pet_samples_per_second": 417.89,
|
145 |
+
"eval_pet_specificity": 0.8777777777777778,
|
146 |
+
"eval_pet_steps_per_second": 1.045,
|
147 |
+
"step": 300
|
148 |
+
}
|
149 |
+
],
|
150 |
+
"logging_steps": 50,
|
151 |
+
"max_steps": 600,
|
152 |
+
"num_input_tokens_seen": 0,
|
153 |
+
"num_train_epochs": 6,
|
154 |
+
"save_steps": 500,
|
155 |
+
"stateful_callbacks": {
|
156 |
+
"TrainerControl": {
|
157 |
+
"args": {
|
158 |
+
"should_epoch_stop": false,
|
159 |
+
"should_evaluate": false,
|
160 |
+
"should_log": false,
|
161 |
+
"should_save": true,
|
162 |
+
"should_training_stop": false
|
163 |
+
},
|
164 |
+
"attributes": {}
|
165 |
+
}
|
166 |
+
},
|
167 |
+
"total_flos": 407456319744000.0,
|
168 |
+
"train_batch_size": 16,
|
169 |
+
"trial_name": null,
|
170 |
+
"trial_params": null
|
171 |
+
}
|
checkpoint-300/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0764263474b97260fc37ee4a274e139015dd761304086c91f05087cd69a8986e
|
3 |
+
size 5432
|