Training in progress, epoch 16
Browse files- checkpoint-3570/config.json +41 -0
- checkpoint-3570/optimizer.pt +3 -0
- checkpoint-3570/pytorch_model.bin +3 -0
- checkpoint-3570/rng_state.pth +3 -0
- checkpoint-3570/scaler.pt +3 -0
- checkpoint-3570/scheduler.pt +3 -0
- checkpoint-3570/special_tokens_map.json +1 -0
- checkpoint-3570/tokenizer.json +0 -0
- checkpoint-3570/tokenizer_config.json +1 -0
- checkpoint-3570/trainer_state.json +288 -0
- checkpoint-3570/training_args.bin +3 -0
- checkpoint-3570/vocab.txt +0 -0
- pytorch_model.bin +1 -1
checkpoint-3570/config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "ynie/electra-large-discriminator-snli_mnli_fever_anli_R1_R2_R3-nli",
|
3 |
+
"architectures": [
|
4 |
+
"ElectraForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"embedding_size": 1024,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"id2label": {
|
13 |
+
"0": "entailment",
|
14 |
+
"1": "neutral",
|
15 |
+
"2": "contradiction"
|
16 |
+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"contradiction": 2,
|
21 |
+
"entailment": 0,
|
22 |
+
"neutral": 1
|
23 |
+
},
|
24 |
+
"layer_norm_eps": 1e-12,
|
25 |
+
"max_position_embeddings": 512,
|
26 |
+
"model_type": "electra",
|
27 |
+
"num_attention_heads": 16,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"position_embedding_type": "absolute",
|
31 |
+
"problem_type": "multi_label_classification",
|
32 |
+
"summary_activation": "gelu",
|
33 |
+
"summary_last_dropout": 0.1,
|
34 |
+
"summary_type": "first",
|
35 |
+
"summary_use_proj": true,
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.17.0",
|
38 |
+
"type_vocab_size": 2,
|
39 |
+
"use_cache": true,
|
40 |
+
"vocab_size": 30522
|
41 |
+
}
|
checkpoint-3570/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9dd7fb035b4e7c7421ac03f7ad269e3c1a1e69003f1810bf4aa580fd2a553c94
|
3 |
+
size 2681386461
|
checkpoint-3570/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5165e9058f7e1bfb43a04739d7edcf26e7ca672cf3054aad242610adbb516841
|
3 |
+
size 1340745837
|
checkpoint-3570/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22b1bab5c4b5f18060e247e863f6bd3be2f91054fbf430131a8522169e675da5
|
3 |
+
size 14503
|
checkpoint-3570/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5dc14e956b9498009a2afbe211f1386376196aff8b4f3dac9422e72a8f6bf6f
|
3 |
+
size 559
|
checkpoint-3570/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7753f8d09d981e31f48bf0ba861ecb5a5eda5f00f3dc414ba16338a8742491a5
|
3 |
+
size 623
|
checkpoint-3570/special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
checkpoint-3570/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-3570/tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "normalization": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "google/electra-large-discriminator", "tokenizer_class": "ElectraTokenizer"}
|
checkpoint-3570/trainer_state.json
ADDED
@@ -0,0 +1,288 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.3247086703777313,
|
3 |
+
"best_model_checkpoint": "outputs/electra-nli-efl/checkpoint-1050",
|
4 |
+
"epoch": 16.995555555555555,
|
5 |
+
"global_step": 3570,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.0,
|
12 |
+
"learning_rate": 9.499999999999999e-07,
|
13 |
+
"loss": 0.4175,
|
14 |
+
"step": 210
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.0,
|
18 |
+
"eval_accuracy": 0.7316666666666667,
|
19 |
+
"eval_f1": 0.7305281480923569,
|
20 |
+
"eval_loss": 0.4019607603549957,
|
21 |
+
"eval_runtime": 11.5986,
|
22 |
+
"eval_samples_per_second": 258.651,
|
23 |
+
"eval_steps_per_second": 32.331,
|
24 |
+
"step": 210
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 2.0,
|
28 |
+
"learning_rate": 9e-07,
|
29 |
+
"loss": 0.3061,
|
30 |
+
"step": 420
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 2.0,
|
34 |
+
"eval_accuracy": 0.768,
|
35 |
+
"eval_f1": 0.7674936528439713,
|
36 |
+
"eval_loss": 0.3519645631313324,
|
37 |
+
"eval_runtime": 11.6033,
|
38 |
+
"eval_samples_per_second": 258.548,
|
39 |
+
"eval_steps_per_second": 32.319,
|
40 |
+
"step": 420
|
41 |
+
},
|
42 |
+
{
|
43 |
+
"epoch": 3.0,
|
44 |
+
"learning_rate": 8.499999999999999e-07,
|
45 |
+
"loss": 0.2588,
|
46 |
+
"step": 630
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 3.0,
|
50 |
+
"eval_accuracy": 0.79,
|
51 |
+
"eval_f1": 0.7887799932409598,
|
52 |
+
"eval_loss": 0.32531991600990295,
|
53 |
+
"eval_runtime": 11.5951,
|
54 |
+
"eval_samples_per_second": 258.729,
|
55 |
+
"eval_steps_per_second": 32.341,
|
56 |
+
"step": 630
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 4.0,
|
60 |
+
"learning_rate": 8e-07,
|
61 |
+
"loss": 0.234,
|
62 |
+
"step": 840
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 4.0,
|
66 |
+
"eval_accuracy": 0.788,
|
67 |
+
"eval_f1": 0.7877041067016072,
|
68 |
+
"eval_loss": 0.33730262517929077,
|
69 |
+
"eval_runtime": 11.6935,
|
70 |
+
"eval_samples_per_second": 256.553,
|
71 |
+
"eval_steps_per_second": 32.069,
|
72 |
+
"step": 840
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 5.0,
|
76 |
+
"learning_rate": 7.5e-07,
|
77 |
+
"loss": 0.2116,
|
78 |
+
"step": 1050
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 5.0,
|
82 |
+
"eval_accuracy": 0.804,
|
83 |
+
"eval_f1": 0.8032759681298146,
|
84 |
+
"eval_loss": 0.3247086703777313,
|
85 |
+
"eval_runtime": 11.5938,
|
86 |
+
"eval_samples_per_second": 258.758,
|
87 |
+
"eval_steps_per_second": 32.345,
|
88 |
+
"step": 1050
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 6.0,
|
92 |
+
"learning_rate": 7e-07,
|
93 |
+
"loss": 0.1974,
|
94 |
+
"step": 1260
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 6.0,
|
98 |
+
"eval_accuracy": 0.793,
|
99 |
+
"eval_f1": 0.7928414316247181,
|
100 |
+
"eval_loss": 0.34000951051712036,
|
101 |
+
"eval_runtime": 11.6038,
|
102 |
+
"eval_samples_per_second": 258.537,
|
103 |
+
"eval_steps_per_second": 32.317,
|
104 |
+
"step": 1260
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 7.0,
|
108 |
+
"learning_rate": 6.5e-07,
|
109 |
+
"loss": 0.1807,
|
110 |
+
"step": 1470
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 7.0,
|
114 |
+
"eval_accuracy": 0.7973333333333333,
|
115 |
+
"eval_f1": 0.7969281824938732,
|
116 |
+
"eval_loss": 0.35112178325653076,
|
117 |
+
"eval_runtime": 11.589,
|
118 |
+
"eval_samples_per_second": 258.866,
|
119 |
+
"eval_steps_per_second": 32.358,
|
120 |
+
"step": 1470
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 8.0,
|
124 |
+
"learning_rate": 6e-07,
|
125 |
+
"loss": 0.1715,
|
126 |
+
"step": 1680
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 8.0,
|
130 |
+
"eval_accuracy": 0.7993333333333333,
|
131 |
+
"eval_f1": 0.79885693716362,
|
132 |
+
"eval_loss": 0.34963640570640564,
|
133 |
+
"eval_runtime": 11.6019,
|
134 |
+
"eval_samples_per_second": 258.579,
|
135 |
+
"eval_steps_per_second": 32.322,
|
136 |
+
"step": 1680
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 9.0,
|
140 |
+
"learning_rate": 5.5e-07,
|
141 |
+
"loss": 0.1577,
|
142 |
+
"step": 1890
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 9.0,
|
146 |
+
"eval_accuracy": 0.8043333333333333,
|
147 |
+
"eval_f1": 0.803166306363764,
|
148 |
+
"eval_loss": 0.3507426679134369,
|
149 |
+
"eval_runtime": 11.6051,
|
150 |
+
"eval_samples_per_second": 258.507,
|
151 |
+
"eval_steps_per_second": 32.313,
|
152 |
+
"step": 1890
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 10.0,
|
156 |
+
"learning_rate": 5e-07,
|
157 |
+
"loss": 0.1469,
|
158 |
+
"step": 2100
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 10.0,
|
162 |
+
"eval_accuracy": 0.798,
|
163 |
+
"eval_f1": 0.7970242731280681,
|
164 |
+
"eval_loss": 0.3604212701320648,
|
165 |
+
"eval_runtime": 11.7325,
|
166 |
+
"eval_samples_per_second": 255.699,
|
167 |
+
"eval_steps_per_second": 31.962,
|
168 |
+
"step": 2100
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 11.0,
|
172 |
+
"learning_rate": 4.5e-07,
|
173 |
+
"loss": 0.1394,
|
174 |
+
"step": 2310
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 11.0,
|
178 |
+
"eval_accuracy": 0.7966666666666666,
|
179 |
+
"eval_f1": 0.7957033854293423,
|
180 |
+
"eval_loss": 0.37343233823776245,
|
181 |
+
"eval_runtime": 11.6069,
|
182 |
+
"eval_samples_per_second": 258.468,
|
183 |
+
"eval_steps_per_second": 32.308,
|
184 |
+
"step": 2310
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 12.0,
|
188 |
+
"learning_rate": 4e-07,
|
189 |
+
"loss": 0.1322,
|
190 |
+
"step": 2520
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 12.0,
|
194 |
+
"eval_accuracy": 0.7913333333333333,
|
195 |
+
"eval_f1": 0.7905794192426068,
|
196 |
+
"eval_loss": 0.39285749197006226,
|
197 |
+
"eval_runtime": 11.6585,
|
198 |
+
"eval_samples_per_second": 257.322,
|
199 |
+
"eval_steps_per_second": 32.165,
|
200 |
+
"step": 2520
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 13.0,
|
204 |
+
"learning_rate": 3.5e-07,
|
205 |
+
"loss": 0.1231,
|
206 |
+
"step": 2730
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 13.0,
|
210 |
+
"eval_accuracy": 0.795,
|
211 |
+
"eval_f1": 0.7941480244179493,
|
212 |
+
"eval_loss": 0.39544808864593506,
|
213 |
+
"eval_runtime": 11.5711,
|
214 |
+
"eval_samples_per_second": 259.267,
|
215 |
+
"eval_steps_per_second": 32.408,
|
216 |
+
"step": 2730
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 14.0,
|
220 |
+
"learning_rate": 3e-07,
|
221 |
+
"loss": 0.1189,
|
222 |
+
"step": 2940
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 14.0,
|
226 |
+
"eval_accuracy": 0.7976666666666666,
|
227 |
+
"eval_f1": 0.7963303903578043,
|
228 |
+
"eval_loss": 0.39935171604156494,
|
229 |
+
"eval_runtime": 11.7059,
|
230 |
+
"eval_samples_per_second": 256.282,
|
231 |
+
"eval_steps_per_second": 32.035,
|
232 |
+
"step": 2940
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 15.0,
|
236 |
+
"learning_rate": 2.5e-07,
|
237 |
+
"loss": 0.1143,
|
238 |
+
"step": 3150
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 15.0,
|
242 |
+
"eval_accuracy": 0.7993333333333333,
|
243 |
+
"eval_f1": 0.798040794417606,
|
244 |
+
"eval_loss": 0.39949560165405273,
|
245 |
+
"eval_runtime": 11.6007,
|
246 |
+
"eval_samples_per_second": 258.605,
|
247 |
+
"eval_steps_per_second": 32.326,
|
248 |
+
"step": 3150
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 16.0,
|
252 |
+
"learning_rate": 2e-07,
|
253 |
+
"loss": 0.1083,
|
254 |
+
"step": 3360
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 16.0,
|
258 |
+
"eval_accuracy": 0.7926666666666666,
|
259 |
+
"eval_f1": 0.7918316804069658,
|
260 |
+
"eval_loss": 0.41252416372299194,
|
261 |
+
"eval_runtime": 11.6447,
|
262 |
+
"eval_samples_per_second": 257.627,
|
263 |
+
"eval_steps_per_second": 32.203,
|
264 |
+
"step": 3360
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 17.0,
|
268 |
+
"learning_rate": 1.5e-07,
|
269 |
+
"loss": 0.1079,
|
270 |
+
"step": 3570
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 17.0,
|
274 |
+
"eval_accuracy": 0.7993333333333333,
|
275 |
+
"eval_f1": 0.79793006993007,
|
276 |
+
"eval_loss": 0.4035763442516327,
|
277 |
+
"eval_runtime": 11.5923,
|
278 |
+
"eval_samples_per_second": 258.793,
|
279 |
+
"eval_steps_per_second": 32.349,
|
280 |
+
"step": 3570
|
281 |
+
}
|
282 |
+
],
|
283 |
+
"max_steps": 4200,
|
284 |
+
"num_train_epochs": 20,
|
285 |
+
"total_flos": 7.071798658380902e+16,
|
286 |
+
"trial_name": null,
|
287 |
+
"trial_params": null
|
288 |
+
}
|
checkpoint-3570/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c104103a95a8e00f67dc451eba8bec78c0cbf934c84f4059200155cf9a45b752
|
3 |
+
size 3119
|
checkpoint-3570/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1340745837
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5165e9058f7e1bfb43a04739d7edcf26e7ca672cf3054aad242610adbb516841
|
3 |
size 1340745837
|