mehrshadk commited on
Commit
094ee25
·
verified ·
1 Parent(s): f4b927b

Training in progress, epoch 3, checkpoint

Browse files
checkpoint-300/config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/deberta-base",
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": 768,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 3072,
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": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "pooler_dropout": 0,
21
+ "pooler_hidden_act": "gelu",
22
+ "pooler_hidden_size": 768,
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 sha256:074dc5a628cb04cd83d08121e95f5cb66b1574ccdae323556dac31fabaab0cb7
3
+ size 556799560
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": 5.4627485275268555,
14
+ "learning_rate": 2.75e-05,
15
+ "loss": 0.4747,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.5,
20
+ "eval_pet_AUC": 0.9049348732937939,
21
+ "eval_pet_accuracy": 0.835,
22
+ "eval_pet_f1": 0.7053571428571429,
23
+ "eval_pet_loss": 0.41319525241851807,
24
+ "eval_pet_macro_f1": 0.7953869047619048,
25
+ "eval_pet_micro_f1": 0.835,
26
+ "eval_pet_precision": 0.8494623655913979,
27
+ "eval_pet_recall": 0.6030534351145038,
28
+ "eval_pet_runtime": 0.4406,
29
+ "eval_pet_samples_per_second": 907.941,
30
+ "eval_pet_specificity": 0.9479553903345725,
31
+ "eval_pet_steps_per_second": 2.27,
32
+ "step": 50
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "grad_norm": 8.922032356262207,
37
+ "learning_rate": 2.5e-05,
38
+ "loss": 0.3861,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 1.0,
43
+ "eval_pet_AUC": 0.9257356905701071,
44
+ "eval_pet_accuracy": 0.8375,
45
+ "eval_pet_f1": 0.7735191637630662,
46
+ "eval_pet_loss": 0.3712470531463623,
47
+ "eval_pet_macro_f1": 0.8234067553708118,
48
+ "eval_pet_micro_f1": 0.8375,
49
+ "eval_pet_precision": 0.7115384615384616,
50
+ "eval_pet_recall": 0.8473282442748091,
51
+ "eval_pet_runtime": 0.4548,
52
+ "eval_pet_samples_per_second": 879.594,
53
+ "eval_pet_specificity": 0.8327137546468402,
54
+ "eval_pet_steps_per_second": 2.199,
55
+ "step": 100
56
+ },
57
+ {
58
+ "epoch": 1.5,
59
+ "grad_norm": 11.44329833984375,
60
+ "learning_rate": 2.25e-05,
61
+ "loss": 0.2569,
62
+ "step": 150
63
+ },
64
+ {
65
+ "epoch": 1.5,
66
+ "eval_pet_AUC": 0.9245722069298221,
67
+ "eval_pet_accuracy": 0.8275,
68
+ "eval_pet_f1": 0.770764119601329,
69
+ "eval_pet_loss": 0.459354430437088,
70
+ "eval_pet_macro_f1": 0.8162437832475582,
71
+ "eval_pet_micro_f1": 0.8275,
72
+ "eval_pet_precision": 0.6823529411764706,
73
+ "eval_pet_recall": 0.8854961832061069,
74
+ "eval_pet_runtime": 0.4438,
75
+ "eval_pet_samples_per_second": 901.388,
76
+ "eval_pet_specificity": 0.7992565055762082,
77
+ "eval_pet_steps_per_second": 2.253,
78
+ "step": 150
79
+ },
80
+ {
81
+ "epoch": 2.0,
82
+ "grad_norm": 4.656713962554932,
83
+ "learning_rate": 1.9999999999999998e-05,
84
+ "loss": 0.2611,
85
+ "step": 200
86
+ },
87
+ {
88
+ "epoch": 2.0,
89
+ "eval_pet_AUC": 0.9204858253639434,
90
+ "eval_pet_accuracy": 0.8425,
91
+ "eval_pet_f1": 0.7364016736401674,
92
+ "eval_pet_loss": 0.36228087544441223,
93
+ "eval_pet_macro_f1": 0.8120511041997629,
94
+ "eval_pet_micro_f1": 0.8425,
95
+ "eval_pet_precision": 0.8148148148148148,
96
+ "eval_pet_recall": 0.6717557251908397,
97
+ "eval_pet_runtime": 0.4544,
98
+ "eval_pet_samples_per_second": 880.368,
99
+ "eval_pet_specificity": 0.9256505576208178,
100
+ "eval_pet_steps_per_second": 2.201,
101
+ "step": 200
102
+ },
103
+ {
104
+ "epoch": 2.5,
105
+ "grad_norm": 14.081766128540039,
106
+ "learning_rate": 1.7500000000000002e-05,
107
+ "loss": 0.185,
108
+ "step": 250
109
+ },
110
+ {
111
+ "epoch": 2.5,
112
+ "eval_pet_AUC": 0.927551860154942,
113
+ "eval_pet_accuracy": 0.8625,
114
+ "eval_pet_f1": 0.8042704626334519,
115
+ "eval_pet_loss": 0.45289406180381775,
116
+ "eval_pet_macro_f1": 0.8491487187926412,
117
+ "eval_pet_micro_f1": 0.8625,
118
+ "eval_pet_precision": 0.7533333333333333,
119
+ "eval_pet_recall": 0.8625954198473282,
120
+ "eval_pet_runtime": 0.4443,
121
+ "eval_pet_samples_per_second": 900.384,
122
+ "eval_pet_specificity": 0.862453531598513,
123
+ "eval_pet_steps_per_second": 2.251,
124
+ "step": 250
125
+ },
126
+ {
127
+ "epoch": 3.0,
128
+ "grad_norm": 1.8663891553878784,
129
+ "learning_rate": 1.5e-05,
130
+ "loss": 0.116,
131
+ "step": 300
132
+ },
133
+ {
134
+ "epoch": 3.0,
135
+ "eval_pet_AUC": 0.9217060643037545,
136
+ "eval_pet_accuracy": 0.85,
137
+ "eval_pet_f1": 0.7777777777777778,
138
+ "eval_pet_loss": 0.6567688584327698,
139
+ "eval_pet_macro_f1": 0.8322851153039832,
140
+ "eval_pet_micro_f1": 0.85,
141
+ "eval_pet_precision": 0.7553956834532374,
142
+ "eval_pet_recall": 0.8015267175572519,
143
+ "eval_pet_runtime": 0.4278,
144
+ "eval_pet_samples_per_second": 934.956,
145
+ "eval_pet_specificity": 0.8736059479553904,
146
+ "eval_pet_steps_per_second": 2.337,
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": 114974099712000.0,
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 sha256:1eff87705db47f60992b6edf2d9be2f07821834faa22357994717fcc6d623de0
3
+ size 5432