serdarcaglar
commited on
Commit
•
e396e59
1
Parent(s):
de2dcf0
Upload 6 files
Browse files- config.json +28 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +305 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "PlanTL-GOB-ES/roberta-base-biomedical-clinical-es",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForMaskedLM"
|
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 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 3072,
|
16 |
+
"layer_norm_eps": 1e-05,
|
17 |
+
"max_position_embeddings": 514,
|
18 |
+
"model_type": "roberta",
|
19 |
+
"num_attention_heads": 12,
|
20 |
+
"num_hidden_layers": 12,
|
21 |
+
"pad_token_id": 1,
|
22 |
+
"position_embedding_type": "absolute",
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.33.1",
|
25 |
+
"type_vocab_size": 1,
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 52000
|
28 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48f20b17afbae757c98bfd2ee8e27793e4a15474b5739695a02cd55eab970098
|
3 |
+
size 504196085
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:30a4093a19e0b412d83a6a2e14e2c944d2c037f75b77aa98ebc1e04bae35343f
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:915ddf582b857296893c3eb37ae3089b1433ce30ab44ff60fdce553a683fa49c
|
3 |
+
size 627
|
trainer_state.json
ADDED
@@ -0,0 +1,305 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 22678,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"learning_rate": 1.9823617602963227e-05,
|
14 |
+
"loss": 1.393,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.09,
|
19 |
+
"learning_rate": 1.964723520592645e-05,
|
20 |
+
"loss": 1.3599,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.13,
|
25 |
+
"learning_rate": 1.9470852808889677e-05,
|
26 |
+
"loss": 1.3453,
|
27 |
+
"step": 1500
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.18,
|
31 |
+
"learning_rate": 1.92944704118529e-05,
|
32 |
+
"loss": 1.3328,
|
33 |
+
"step": 2000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.22,
|
37 |
+
"learning_rate": 1.9118088014816124e-05,
|
38 |
+
"loss": 1.3271,
|
39 |
+
"step": 2500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.26,
|
43 |
+
"learning_rate": 1.8941705617779345e-05,
|
44 |
+
"loss": 1.3291,
|
45 |
+
"step": 3000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.31,
|
49 |
+
"learning_rate": 1.876532322074257e-05,
|
50 |
+
"loss": 1.3199,
|
51 |
+
"step": 3500
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.35,
|
55 |
+
"learning_rate": 1.8588940823705796e-05,
|
56 |
+
"loss": 1.3173,
|
57 |
+
"step": 4000
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.4,
|
61 |
+
"learning_rate": 1.841255842666902e-05,
|
62 |
+
"loss": 1.3141,
|
63 |
+
"step": 4500
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.44,
|
67 |
+
"learning_rate": 1.8236176029632246e-05,
|
68 |
+
"loss": 1.3151,
|
69 |
+
"step": 5000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.49,
|
73 |
+
"learning_rate": 1.8059793632595468e-05,
|
74 |
+
"loss": 1.3105,
|
75 |
+
"step": 5500
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.53,
|
79 |
+
"learning_rate": 1.7883411235558693e-05,
|
80 |
+
"loss": 1.3042,
|
81 |
+
"step": 6000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.57,
|
85 |
+
"learning_rate": 1.7707028838521918e-05,
|
86 |
+
"loss": 1.2985,
|
87 |
+
"step": 6500
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.62,
|
91 |
+
"learning_rate": 1.7530646441485143e-05,
|
92 |
+
"loss": 1.2946,
|
93 |
+
"step": 7000
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.66,
|
97 |
+
"learning_rate": 1.7354264044448365e-05,
|
98 |
+
"loss": 1.2958,
|
99 |
+
"step": 7500
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.71,
|
103 |
+
"learning_rate": 1.717788164741159e-05,
|
104 |
+
"loss": 1.2867,
|
105 |
+
"step": 8000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.75,
|
109 |
+
"learning_rate": 1.7001499250374815e-05,
|
110 |
+
"loss": 1.2938,
|
111 |
+
"step": 8500
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.79,
|
115 |
+
"learning_rate": 1.682511685333804e-05,
|
116 |
+
"loss": 1.2934,
|
117 |
+
"step": 9000
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.84,
|
121 |
+
"learning_rate": 1.664873445630126e-05,
|
122 |
+
"loss": 1.2892,
|
123 |
+
"step": 9500
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.88,
|
127 |
+
"learning_rate": 1.6472352059264487e-05,
|
128 |
+
"loss": 1.2835,
|
129 |
+
"step": 10000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.93,
|
133 |
+
"learning_rate": 1.6295969662227712e-05,
|
134 |
+
"loss": 1.2838,
|
135 |
+
"step": 10500
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.97,
|
139 |
+
"learning_rate": 1.6119587265190934e-05,
|
140 |
+
"loss": 1.2842,
|
141 |
+
"step": 11000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 1.0,
|
145 |
+
"eval_loss": 1.2190536260604858,
|
146 |
+
"eval_runtime": 28.9964,
|
147 |
+
"eval_samples_per_second": 30.728,
|
148 |
+
"eval_steps_per_second": 1.931,
|
149 |
+
"step": 11339
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.01,
|
153 |
+
"learning_rate": 1.594320486815416e-05,
|
154 |
+
"loss": 1.2845,
|
155 |
+
"step": 11500
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.06,
|
159 |
+
"learning_rate": 1.5766822471117384e-05,
|
160 |
+
"loss": 1.276,
|
161 |
+
"step": 12000
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.1,
|
165 |
+
"learning_rate": 1.559044007408061e-05,
|
166 |
+
"loss": 1.2702,
|
167 |
+
"step": 12500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.15,
|
171 |
+
"learning_rate": 1.541405767704383e-05,
|
172 |
+
"loss": 1.2726,
|
173 |
+
"step": 13000
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.19,
|
177 |
+
"learning_rate": 1.5237675280007056e-05,
|
178 |
+
"loss": 1.2744,
|
179 |
+
"step": 13500
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.23,
|
183 |
+
"learning_rate": 1.5061292882970279e-05,
|
184 |
+
"loss": 1.2741,
|
185 |
+
"step": 14000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.28,
|
189 |
+
"learning_rate": 1.4884910485933506e-05,
|
190 |
+
"loss": 1.2642,
|
191 |
+
"step": 14500
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.32,
|
195 |
+
"learning_rate": 1.470852808889673e-05,
|
196 |
+
"loss": 1.2635,
|
197 |
+
"step": 15000
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.37,
|
201 |
+
"learning_rate": 1.4532145691859953e-05,
|
202 |
+
"loss": 1.2656,
|
203 |
+
"step": 15500
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.41,
|
207 |
+
"learning_rate": 1.4355763294823178e-05,
|
208 |
+
"loss": 1.2606,
|
209 |
+
"step": 16000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.46,
|
213 |
+
"learning_rate": 1.4179380897786401e-05,
|
214 |
+
"loss": 1.2652,
|
215 |
+
"step": 16500
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 1.5,
|
219 |
+
"learning_rate": 1.4002998500749626e-05,
|
220 |
+
"loss": 1.2636,
|
221 |
+
"step": 17000
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.54,
|
225 |
+
"learning_rate": 1.3826616103712851e-05,
|
226 |
+
"loss": 1.2712,
|
227 |
+
"step": 17500
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.59,
|
231 |
+
"learning_rate": 1.3650233706676075e-05,
|
232 |
+
"loss": 1.2634,
|
233 |
+
"step": 18000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.63,
|
237 |
+
"learning_rate": 1.3473851309639298e-05,
|
238 |
+
"loss": 1.2585,
|
239 |
+
"step": 18500
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 1.68,
|
243 |
+
"learning_rate": 1.3297468912602522e-05,
|
244 |
+
"loss": 1.2556,
|
245 |
+
"step": 19000
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 1.72,
|
249 |
+
"learning_rate": 1.3121086515565748e-05,
|
250 |
+
"loss": 1.2595,
|
251 |
+
"step": 19500
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.76,
|
255 |
+
"learning_rate": 1.2944704118528972e-05,
|
256 |
+
"loss": 1.2609,
|
257 |
+
"step": 20000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 1.81,
|
261 |
+
"learning_rate": 1.2768321721492197e-05,
|
262 |
+
"loss": 1.2552,
|
263 |
+
"step": 20500
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.85,
|
267 |
+
"learning_rate": 1.259193932445542e-05,
|
268 |
+
"loss": 1.2548,
|
269 |
+
"step": 21000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.9,
|
273 |
+
"learning_rate": 1.2415556927418644e-05,
|
274 |
+
"loss": 1.2599,
|
275 |
+
"step": 21500
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.94,
|
279 |
+
"learning_rate": 1.223917453038187e-05,
|
280 |
+
"loss": 1.2582,
|
281 |
+
"step": 22000
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.98,
|
285 |
+
"learning_rate": 1.2062792133345094e-05,
|
286 |
+
"loss": 1.2563,
|
287 |
+
"step": 22500
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 2.0,
|
291 |
+
"eval_loss": 1.1791033744812012,
|
292 |
+
"eval_runtime": 29.0168,
|
293 |
+
"eval_samples_per_second": 30.706,
|
294 |
+
"eval_steps_per_second": 1.93,
|
295 |
+
"step": 22678
|
296 |
+
}
|
297 |
+
],
|
298 |
+
"logging_steps": 500,
|
299 |
+
"max_steps": 56695,
|
300 |
+
"num_train_epochs": 5,
|
301 |
+
"save_steps": 500,
|
302 |
+
"total_flos": 9.552148881938842e+16,
|
303 |
+
"trial_name": null,
|
304 |
+
"trial_params": null
|
305 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19db034c821e200ea9eda289f1825e2f13a0556ca0338099099ff9d19a1fb63c
|
3 |
+
size 4091
|