Added files
Browse files- config.json +46 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +280 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/data/models/xlmr-base-cont-is-bsz160k-steps225k/xlmr-base-cont-is-bsz160k-steps225k-hf",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"gradient_checkpointing": false,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"id2label": {
|
15 |
+
"0": "LABEL_0",
|
16 |
+
"1": "LABEL_1",
|
17 |
+
"2": "LABEL_2",
|
18 |
+
"3": "LABEL_3",
|
19 |
+
"4": "LABEL_4",
|
20 |
+
"5": "LABEL_5",
|
21 |
+
"6": "LABEL_6"
|
22 |
+
},
|
23 |
+
"initializer_range": 0.02,
|
24 |
+
"intermediate_size": 3072,
|
25 |
+
"label2id": {
|
26 |
+
"LABEL_0": 0,
|
27 |
+
"LABEL_1": 1,
|
28 |
+
"LABEL_2": 2,
|
29 |
+
"LABEL_3": 3,
|
30 |
+
"LABEL_4": 4,
|
31 |
+
"LABEL_5": 5,
|
32 |
+
"LABEL_6": 6
|
33 |
+
},
|
34 |
+
"layer_norm_eps": 1e-05,
|
35 |
+
"max_position_embeddings": 514,
|
36 |
+
"model_type": "roberta",
|
37 |
+
"num_attention_heads": 12,
|
38 |
+
"num_hidden_layers": 12,
|
39 |
+
"pad_token_id": 1,
|
40 |
+
"position_embedding_type": "absolute",
|
41 |
+
"torch_dtype": "float32",
|
42 |
+
"transformers_version": "4.15.0",
|
43 |
+
"type_vocab_size": 1,
|
44 |
+
"use_cache": true,
|
45 |
+
"vocab_size": 250002
|
46 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1816e88264f5173cca414488fcd74ebcb8076c6d9196743aa3646a33a49fb20b
|
3 |
+
size 1109918449
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": true, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "/data/models/xlmr-base-cont-is-bsz160k-steps225k/xlmr-base-cont-is-bsz160k-steps225k-hf", "tokenizer_class": "RobertaTokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.3449392712550607,
|
3 |
+
"best_model_checkpoint": "xlmr-base-cont-is-bsz160k-steps225k-hf-finetuned-iec-token-errors-uniq-42/checkpoint-17080",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 17080,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.15,
|
12 |
+
"learning_rate": 1.9414519906323187e-05,
|
13 |
+
"loss": 0.2543,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.29,
|
18 |
+
"learning_rate": 1.8829039812646373e-05,
|
19 |
+
"loss": 0.1982,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.44,
|
24 |
+
"learning_rate": 1.8243559718969555e-05,
|
25 |
+
"loss": 0.1951,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.59,
|
30 |
+
"learning_rate": 1.765807962529274e-05,
|
31 |
+
"loss": 0.1787,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.73,
|
36 |
+
"learning_rate": 1.7072599531615927e-05,
|
37 |
+
"loss": 0.1804,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.88,
|
42 |
+
"learning_rate": 1.6487119437939112e-05,
|
43 |
+
"loss": 0.1833,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.9657446996355014,
|
49 |
+
"eval_f1": 0.2873458792991564,
|
50 |
+
"eval_loss": 0.15018649399280548,
|
51 |
+
"eval_precision": 0.6944792973651192,
|
52 |
+
"eval_recall": 0.18114874815905743,
|
53 |
+
"eval_runtime": 5.7645,
|
54 |
+
"eval_samples_per_second": 857.316,
|
55 |
+
"eval_steps_per_second": 53.604,
|
56 |
+
"step": 3416
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 1.02,
|
60 |
+
"learning_rate": 1.5901639344262295e-05,
|
61 |
+
"loss": 0.1703,
|
62 |
+
"step": 3500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 1.17,
|
66 |
+
"learning_rate": 1.531615925058548e-05,
|
67 |
+
"loss": 0.1605,
|
68 |
+
"step": 4000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 1.32,
|
72 |
+
"learning_rate": 1.4730679156908668e-05,
|
73 |
+
"loss": 0.1577,
|
74 |
+
"step": 4500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.46,
|
78 |
+
"learning_rate": 1.4145199063231852e-05,
|
79 |
+
"loss": 0.1578,
|
80 |
+
"step": 5000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.61,
|
84 |
+
"learning_rate": 1.3559718969555036e-05,
|
85 |
+
"loss": 0.1526,
|
86 |
+
"step": 5500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.76,
|
90 |
+
"learning_rate": 1.2974238875878221e-05,
|
91 |
+
"loss": 0.1513,
|
92 |
+
"step": 6000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.9,
|
96 |
+
"learning_rate": 1.2388758782201407e-05,
|
97 |
+
"loss": 0.1557,
|
98 |
+
"step": 6500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 2.0,
|
102 |
+
"eval_accuracy": 0.9658519051042416,
|
103 |
+
"eval_f1": 0.2957278076234331,
|
104 |
+
"eval_loss": 0.15432876348495483,
|
105 |
+
"eval_precision": 0.677211482132396,
|
106 |
+
"eval_recall": 0.1891670757650139,
|
107 |
+
"eval_runtime": 5.6853,
|
108 |
+
"eval_samples_per_second": 869.262,
|
109 |
+
"eval_steps_per_second": 54.351,
|
110 |
+
"step": 6832
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 2.05,
|
114 |
+
"learning_rate": 1.1803278688524591e-05,
|
115 |
+
"loss": 0.1516,
|
116 |
+
"step": 7000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 2.2,
|
120 |
+
"learning_rate": 1.1217798594847775e-05,
|
121 |
+
"loss": 0.1301,
|
122 |
+
"step": 7500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 2.34,
|
126 |
+
"learning_rate": 1.0632318501170963e-05,
|
127 |
+
"loss": 0.1321,
|
128 |
+
"step": 8000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.49,
|
132 |
+
"learning_rate": 1.0046838407494147e-05,
|
133 |
+
"loss": 0.1262,
|
134 |
+
"step": 8500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 2.63,
|
138 |
+
"learning_rate": 9.461358313817332e-06,
|
139 |
+
"loss": 0.1365,
|
140 |
+
"step": 9000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 2.78,
|
144 |
+
"learning_rate": 8.875878220140516e-06,
|
145 |
+
"loss": 0.1339,
|
146 |
+
"step": 9500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 2.93,
|
150 |
+
"learning_rate": 8.290398126463702e-06,
|
151 |
+
"loss": 0.1267,
|
152 |
+
"step": 10000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 3.0,
|
156 |
+
"eval_accuracy": 0.9658077616759367,
|
157 |
+
"eval_f1": 0.32741425443930916,
|
158 |
+
"eval_loss": 0.15831299126148224,
|
159 |
+
"eval_precision": 0.6376125059213643,
|
160 |
+
"eval_recall": 0.22025855015545737,
|
161 |
+
"eval_runtime": 5.7385,
|
162 |
+
"eval_samples_per_second": 861.2,
|
163 |
+
"eval_steps_per_second": 53.847,
|
164 |
+
"step": 10248
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 3.07,
|
168 |
+
"learning_rate": 7.704918032786886e-06,
|
169 |
+
"loss": 0.1247,
|
170 |
+
"step": 10500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 3.22,
|
174 |
+
"learning_rate": 7.119437939110071e-06,
|
175 |
+
"loss": 0.1106,
|
176 |
+
"step": 11000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 3.37,
|
180 |
+
"learning_rate": 6.5339578454332556e-06,
|
181 |
+
"loss": 0.1079,
|
182 |
+
"step": 11500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 3.51,
|
186 |
+
"learning_rate": 5.94847775175644e-06,
|
187 |
+
"loss": 0.1124,
|
188 |
+
"step": 12000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 3.66,
|
192 |
+
"learning_rate": 5.362997658079626e-06,
|
193 |
+
"loss": 0.1091,
|
194 |
+
"step": 12500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 3.81,
|
198 |
+
"learning_rate": 4.77751756440281e-06,
|
199 |
+
"loss": 0.1141,
|
200 |
+
"step": 13000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 3.95,
|
204 |
+
"learning_rate": 4.192037470725996e-06,
|
205 |
+
"loss": 0.1085,
|
206 |
+
"step": 13500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 4.0,
|
210 |
+
"eval_accuracy": 0.9649879551502768,
|
211 |
+
"eval_f1": 0.3396051103368177,
|
212 |
+
"eval_loss": 0.16941741108894348,
|
213 |
+
"eval_precision": 0.5850340136054422,
|
214 |
+
"eval_recall": 0.2392407134675176,
|
215 |
+
"eval_runtime": 5.6434,
|
216 |
+
"eval_samples_per_second": 875.708,
|
217 |
+
"eval_steps_per_second": 54.754,
|
218 |
+
"step": 13664
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 4.1,
|
222 |
+
"learning_rate": 3.6065573770491806e-06,
|
223 |
+
"loss": 0.1036,
|
224 |
+
"step": 14000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 4.24,
|
228 |
+
"learning_rate": 3.0210772833723655e-06,
|
229 |
+
"loss": 0.0961,
|
230 |
+
"step": 14500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 4.39,
|
234 |
+
"learning_rate": 2.4355971896955503e-06,
|
235 |
+
"loss": 0.0959,
|
236 |
+
"step": 15000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 4.54,
|
240 |
+
"learning_rate": 1.8501170960187356e-06,
|
241 |
+
"loss": 0.0958,
|
242 |
+
"step": 15500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 4.68,
|
246 |
+
"learning_rate": 1.2646370023419204e-06,
|
247 |
+
"loss": 0.0949,
|
248 |
+
"step": 16000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 4.83,
|
252 |
+
"learning_rate": 6.791569086651055e-07,
|
253 |
+
"loss": 0.0946,
|
254 |
+
"step": 16500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 4.98,
|
258 |
+
"learning_rate": 9.367681498829041e-08,
|
259 |
+
"loss": 0.0919,
|
260 |
+
"step": 17000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 5.0,
|
264 |
+
"eval_accuracy": 0.9652086722918006,
|
265 |
+
"eval_f1": 0.3449392712550607,
|
266 |
+
"eval_loss": 0.1819370836019516,
|
267 |
+
"eval_precision": 0.5883977900552486,
|
268 |
+
"eval_recall": 0.24398625429553264,
|
269 |
+
"eval_runtime": 5.7966,
|
270 |
+
"eval_samples_per_second": 852.569,
|
271 |
+
"eval_steps_per_second": 53.307,
|
272 |
+
"step": 17080
|
273 |
+
}
|
274 |
+
],
|
275 |
+
"max_steps": 17080,
|
276 |
+
"num_train_epochs": 5,
|
277 |
+
"total_flos": 9598023469073754.0,
|
278 |
+
"trial_name": null,
|
279 |
+
"trial_params": null
|
280 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d77a7361c36c93212a75dc525380c431e0dca5a710a2757688c68ab61f658cf7
|
3 |
+
size 3055
|