Training in progress, epoch 5, checkpoint
Browse files
checkpoint-500/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-500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e739cf56568aaefce893013f6dc982c8710677b92502d30eff9ca461e372d0f5
|
3 |
+
size 556799560
|
checkpoint-500/trainer_state.json
ADDED
@@ -0,0 +1,263 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 500,
|
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 |
+
"epoch": 3.5,
|
151 |
+
"grad_norm": 8.281513214111328,
|
152 |
+
"learning_rate": 1.25e-05,
|
153 |
+
"loss": 0.1072,
|
154 |
+
"step": 350
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 3.5,
|
158 |
+
"eval_pet_AUC": 0.9328868583103948,
|
159 |
+
"eval_pet_accuracy": 0.8625,
|
160 |
+
"eval_pet_f1": 0.782608695652174,
|
161 |
+
"eval_pet_loss": 0.5812385678291321,
|
162 |
+
"eval_pet_macro_f1": 0.8410301247913521,
|
163 |
+
"eval_pet_micro_f1": 0.8625,
|
164 |
+
"eval_pet_precision": 0.8114754098360656,
|
165 |
+
"eval_pet_recall": 0.7557251908396947,
|
166 |
+
"eval_pet_runtime": 0.443,
|
167 |
+
"eval_pet_samples_per_second": 902.942,
|
168 |
+
"eval_pet_specificity": 0.9144981412639405,
|
169 |
+
"eval_pet_steps_per_second": 2.257,
|
170 |
+
"step": 350
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 4.0,
|
174 |
+
"grad_norm": 6.6075663566589355,
|
175 |
+
"learning_rate": 9.999999999999999e-06,
|
176 |
+
"loss": 0.1044,
|
177 |
+
"step": 400
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 4.0,
|
181 |
+
"eval_pet_AUC": 0.9352138255909646,
|
182 |
+
"eval_pet_accuracy": 0.855,
|
183 |
+
"eval_pet_f1": 0.8013698630136986,
|
184 |
+
"eval_pet_loss": 0.6635938286781311,
|
185 |
+
"eval_pet_macro_f1": 0.843598317333621,
|
186 |
+
"eval_pet_micro_f1": 0.855,
|
187 |
+
"eval_pet_precision": 0.7267080745341615,
|
188 |
+
"eval_pet_recall": 0.8931297709923665,
|
189 |
+
"eval_pet_runtime": 0.43,
|
190 |
+
"eval_pet_samples_per_second": 930.232,
|
191 |
+
"eval_pet_specificity": 0.8364312267657993,
|
192 |
+
"eval_pet_steps_per_second": 2.326,
|
193 |
+
"step": 400
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 4.5,
|
197 |
+
"grad_norm": 5.004679203033447,
|
198 |
+
"learning_rate": 7.5e-06,
|
199 |
+
"loss": 0.0431,
|
200 |
+
"step": 450
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 4.5,
|
204 |
+
"eval_pet_AUC": 0.9343908737478364,
|
205 |
+
"eval_pet_accuracy": 0.8675,
|
206 |
+
"eval_pet_f1": 0.7937743190661478,
|
207 |
+
"eval_pet_loss": 0.6106950640678406,
|
208 |
+
"eval_pet_macro_f1": 0.8480842129400721,
|
209 |
+
"eval_pet_micro_f1": 0.8675,
|
210 |
+
"eval_pet_precision": 0.8095238095238095,
|
211 |
+
"eval_pet_recall": 0.7786259541984732,
|
212 |
+
"eval_pet_runtime": 0.4563,
|
213 |
+
"eval_pet_samples_per_second": 876.58,
|
214 |
+
"eval_pet_specificity": 0.9107806691449815,
|
215 |
+
"eval_pet_steps_per_second": 2.191,
|
216 |
+
"step": 450
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 5.0,
|
220 |
+
"grad_norm": 2.624569892883301,
|
221 |
+
"learning_rate": 4.9999999999999996e-06,
|
222 |
+
"loss": 0.0422,
|
223 |
+
"step": 500
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 5.0,
|
227 |
+
"eval_pet_AUC": 0.9343624960980732,
|
228 |
+
"eval_pet_accuracy": 0.8575,
|
229 |
+
"eval_pet_f1": 0.7881040892193308,
|
230 |
+
"eval_pet_loss": 0.687710165977478,
|
231 |
+
"eval_pet_macro_f1": 0.8403797282254846,
|
232 |
+
"eval_pet_micro_f1": 0.8575,
|
233 |
+
"eval_pet_precision": 0.7681159420289855,
|
234 |
+
"eval_pet_recall": 0.8091603053435115,
|
235 |
+
"eval_pet_runtime": 0.4244,
|
236 |
+
"eval_pet_samples_per_second": 942.609,
|
237 |
+
"eval_pet_specificity": 0.8810408921933085,
|
238 |
+
"eval_pet_steps_per_second": 2.357,
|
239 |
+
"step": 500
|
240 |
+
}
|
241 |
+
],
|
242 |
+
"logging_steps": 50,
|
243 |
+
"max_steps": 600,
|
244 |
+
"num_input_tokens_seen": 0,
|
245 |
+
"num_train_epochs": 6,
|
246 |
+
"save_steps": 500,
|
247 |
+
"stateful_callbacks": {
|
248 |
+
"TrainerControl": {
|
249 |
+
"args": {
|
250 |
+
"should_epoch_stop": false,
|
251 |
+
"should_evaluate": false,
|
252 |
+
"should_log": false,
|
253 |
+
"should_save": true,
|
254 |
+
"should_training_stop": false
|
255 |
+
},
|
256 |
+
"attributes": {}
|
257 |
+
}
|
258 |
+
},
|
259 |
+
"total_flos": 191623499520000.0,
|
260 |
+
"train_batch_size": 16,
|
261 |
+
"trial_name": null,
|
262 |
+
"trial_params": null
|
263 |
+
}
|
checkpoint-500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1eff87705db47f60992b6edf2d9be2f07821834faa22357994717fcc6d623de0
|
3 |
+
size 5432
|