mehrshadk commited on
Commit
15f90af
·
verified ·
1 Parent(s): ac8b676

Training in progress, epoch 4, checkpoint

Browse files
checkpoint-400/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-400/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ab0c6896b1f143c60a154815903e69b60acff5d742dda6fce46160aa03ab980
3
+ size 556799560
checkpoint-400/trainer_state.json ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.0,
5
+ "eval_steps": 50,
6
+ "global_step": 400,
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": 7.576278209686279,
14
+ "learning_rate": 1.8333333333333333e-05,
15
+ "loss": 0.5455,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.5,
20
+ "eval_pet_AUC": 0.8744411211495174,
21
+ "eval_pet_accuracy": 0.7875,
22
+ "eval_pet_f1": 0.6413502109704642,
23
+ "eval_pet_loss": 0.40357428789138794,
24
+ "eval_pet_macro_f1": 0.7451866507783049,
25
+ "eval_pet_micro_f1": 0.7875,
26
+ "eval_pet_precision": 0.6129032258064516,
27
+ "eval_pet_recall": 0.672566371681416,
28
+ "eval_pet_runtime": 0.4329,
29
+ "eval_pet_samples_per_second": 924.048,
30
+ "eval_pet_specificity": 0.8327526132404182,
31
+ "eval_pet_steps_per_second": 2.31,
32
+ "step": 50
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "grad_norm": 7.2780537605285645,
37
+ "learning_rate": 1.6666666666666667e-05,
38
+ "loss": 0.3767,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 1.0,
43
+ "eval_pet_AUC": 0.9009589590206901,
44
+ "eval_pet_accuracy": 0.81,
45
+ "eval_pet_f1": 0.6935483870967742,
46
+ "eval_pet_loss": 0.3708844780921936,
47
+ "eval_pet_macro_f1": 0.7779336138382422,
48
+ "eval_pet_micro_f1": 0.81,
49
+ "eval_pet_precision": 0.6370370370370371,
50
+ "eval_pet_recall": 0.7610619469026548,
51
+ "eval_pet_runtime": 0.4373,
52
+ "eval_pet_samples_per_second": 914.609,
53
+ "eval_pet_specificity": 0.8292682926829268,
54
+ "eval_pet_steps_per_second": 2.287,
55
+ "step": 100
56
+ },
57
+ {
58
+ "epoch": 1.5,
59
+ "grad_norm": 4.364447116851807,
60
+ "learning_rate": 1.5000000000000002e-05,
61
+ "loss": 0.2847,
62
+ "step": 150
63
+ },
64
+ {
65
+ "epoch": 1.5,
66
+ "eval_pet_AUC": 0.9033948999414141,
67
+ "eval_pet_accuracy": 0.8225,
68
+ "eval_pet_f1": 0.7171314741035857,
69
+ "eval_pet_loss": 0.4332599937915802,
70
+ "eval_pet_macro_f1": 0.7939027133723757,
71
+ "eval_pet_micro_f1": 0.8225,
72
+ "eval_pet_precision": 0.6521739130434783,
73
+ "eval_pet_recall": 0.7964601769911505,
74
+ "eval_pet_runtime": 0.436,
75
+ "eval_pet_samples_per_second": 917.428,
76
+ "eval_pet_specificity": 0.8327526132404182,
77
+ "eval_pet_steps_per_second": 2.294,
78
+ "step": 150
79
+ },
80
+ {
81
+ "epoch": 2.0,
82
+ "grad_norm": 10.42080020904541,
83
+ "learning_rate": 1.3333333333333333e-05,
84
+ "loss": 0.2694,
85
+ "step": 200
86
+ },
87
+ {
88
+ "epoch": 2.0,
89
+ "eval_pet_AUC": 0.8989238691375535,
90
+ "eval_pet_accuracy": 0.84,
91
+ "eval_pet_f1": 0.6952380952380952,
92
+ "eval_pet_loss": 0.4126374125480652,
93
+ "eval_pet_macro_f1": 0.7933817594834545,
94
+ "eval_pet_micro_f1": 0.84,
95
+ "eval_pet_precision": 0.7525773195876289,
96
+ "eval_pet_recall": 0.6460176991150443,
97
+ "eval_pet_runtime": 0.4605,
98
+ "eval_pet_samples_per_second": 868.692,
99
+ "eval_pet_specificity": 0.9163763066202091,
100
+ "eval_pet_steps_per_second": 2.172,
101
+ "step": 200
102
+ },
103
+ {
104
+ "epoch": 2.5,
105
+ "grad_norm": 13.263297080993652,
106
+ "learning_rate": 1.1666666666666668e-05,
107
+ "loss": 0.157,
108
+ "step": 250
109
+ },
110
+ {
111
+ "epoch": 2.5,
112
+ "eval_pet_AUC": 0.9052141469581574,
113
+ "eval_pet_accuracy": 0.8425,
114
+ "eval_pet_f1": 0.6956521739130435,
115
+ "eval_pet_loss": 0.5520845055580139,
116
+ "eval_pet_macro_f1": 0.7947063567710242,
117
+ "eval_pet_micro_f1": 0.8425,
118
+ "eval_pet_precision": 0.7659574468085106,
119
+ "eval_pet_recall": 0.6371681415929203,
120
+ "eval_pet_runtime": 0.4377,
121
+ "eval_pet_samples_per_second": 913.907,
122
+ "eval_pet_specificity": 0.9233449477351916,
123
+ "eval_pet_steps_per_second": 2.285,
124
+ "step": 250
125
+ },
126
+ {
127
+ "epoch": 3.0,
128
+ "grad_norm": 15.089917182922363,
129
+ "learning_rate": 1e-05,
130
+ "loss": 0.1704,
131
+ "step": 300
132
+ },
133
+ {
134
+ "epoch": 3.0,
135
+ "eval_pet_AUC": 0.9130769942339121,
136
+ "eval_pet_accuracy": 0.825,
137
+ "eval_pet_f1": 0.7265625,
138
+ "eval_pet_loss": 0.6370885968208313,
139
+ "eval_pet_macro_f1": 0.7989430147058824,
140
+ "eval_pet_micro_f1": 0.825,
141
+ "eval_pet_precision": 0.6503496503496503,
142
+ "eval_pet_recall": 0.8230088495575221,
143
+ "eval_pet_runtime": 0.4271,
144
+ "eval_pet_samples_per_second": 936.455,
145
+ "eval_pet_specificity": 0.8257839721254355,
146
+ "eval_pet_steps_per_second": 2.341,
147
+ "step": 300
148
+ },
149
+ {
150
+ "epoch": 3.5,
151
+ "grad_norm": 0.6412437558174133,
152
+ "learning_rate": 8.333333333333334e-06,
153
+ "loss": 0.1028,
154
+ "step": 350
155
+ },
156
+ {
157
+ "epoch": 3.5,
158
+ "eval_pet_AUC": 0.9160987943634178,
159
+ "eval_pet_accuracy": 0.8475,
160
+ "eval_pet_f1": 0.7336244541484717,
161
+ "eval_pet_loss": 0.663390040397644,
162
+ "eval_pet_macro_f1": 0.8133971657782639,
163
+ "eval_pet_micro_f1": 0.8475,
164
+ "eval_pet_precision": 0.7241379310344828,
165
+ "eval_pet_recall": 0.7433628318584071,
166
+ "eval_pet_runtime": 0.441,
167
+ "eval_pet_samples_per_second": 906.956,
168
+ "eval_pet_specificity": 0.8885017421602788,
169
+ "eval_pet_steps_per_second": 2.267,
170
+ "step": 350
171
+ },
172
+ {
173
+ "epoch": 4.0,
174
+ "grad_norm": 4.150225639343262,
175
+ "learning_rate": 6.666666666666667e-06,
176
+ "loss": 0.1162,
177
+ "step": 400
178
+ },
179
+ {
180
+ "epoch": 4.0,
181
+ "eval_pet_AUC": 0.9196139496161081,
182
+ "eval_pet_accuracy": 0.8375,
183
+ "eval_pet_f1": 0.7430830039525692,
184
+ "eval_pet_loss": 0.7081860303878784,
185
+ "eval_pet_macro_f1": 0.8121265111170524,
186
+ "eval_pet_micro_f1": 0.8375,
187
+ "eval_pet_precision": 0.6714285714285714,
188
+ "eval_pet_recall": 0.831858407079646,
189
+ "eval_pet_runtime": 0.4313,
190
+ "eval_pet_samples_per_second": 927.468,
191
+ "eval_pet_specificity": 0.8397212543554007,
192
+ "eval_pet_steps_per_second": 2.319,
193
+ "step": 400
194
+ }
195
+ ],
196
+ "logging_steps": 50,
197
+ "max_steps": 600,
198
+ "num_input_tokens_seen": 0,
199
+ "num_train_epochs": 6,
200
+ "save_steps": 500,
201
+ "stateful_callbacks": {
202
+ "TrainerControl": {
203
+ "args": {
204
+ "should_epoch_stop": false,
205
+ "should_evaluate": false,
206
+ "should_log": false,
207
+ "should_save": true,
208
+ "should_training_stop": false
209
+ },
210
+ "attributes": {}
211
+ }
212
+ },
213
+ "total_flos": 153298799616000.0,
214
+ "train_batch_size": 16,
215
+ "trial_name": null,
216
+ "trial_params": null
217
+ }
checkpoint-400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75165ed46ad9ff161917859a5f4064580d3dc749becc3cf672a988710e00d3bc
3
+ size 5432