Model save
Browse files- README.md +1 -1
- all_results.json +11 -11
- eval_results.json +6 -6
- model.safetensors +1 -1
- runs/Dec13_17-25-51_f86c45587747/events.out.tfevents.1702489100.f86c45587747.2060.1 +3 -0
- runs/Dec13_17-40-47_f86c45587747/events.out.tfevents.1702489257.f86c45587747.2060.2 +3 -0
- train_results.json +6 -6
- trainer_state.json +491 -173
- training_args.bin +1 -1
README.md
CHANGED
@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
|
|
40 |
- seed: 42
|
41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
- lr_scheduler_type: linear
|
43 |
-
- num_epochs:
|
44 |
- mixed_precision_training: Native AMP
|
45 |
|
46 |
### Training results
|
|
|
40 |
- seed: 42
|
41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
- lr_scheduler_type: linear
|
43 |
+
- num_epochs: 10
|
44 |
- mixed_precision_training: Native AMP
|
45 |
|
46 |
### Training results
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 15.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 2.
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.8712962962962963,
|
4 |
+
"eval_loss": 0.45238634943962097,
|
5 |
+
"eval_runtime": 15.5817,
|
6 |
+
"eval_samples_per_second": 69.312,
|
7 |
+
"eval_steps_per_second": 8.664,
|
8 |
+
"total_flos": 1.339145591637934e+18,
|
9 |
+
"train_loss": 0.6042599819324634,
|
10 |
+
"train_runtime": 412.4773,
|
11 |
+
"train_samples_per_second": 41.893,
|
12 |
+
"train_steps_per_second": 2.618
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 15.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.8712962962962963,
|
4 |
+
"eval_loss": 0.45238634943962097,
|
5 |
+
"eval_runtime": 15.5817,
|
6 |
+
"eval_samples_per_second": 69.312,
|
7 |
+
"eval_steps_per_second": 8.664
|
8 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343245508
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19e9e589da45f267b74543fb3cf71a3e64ae7573f9ffbf643d2128ab848f036b
|
3 |
size 343245508
|
runs/Dec13_17-25-51_f86c45587747/events.out.tfevents.1702489100.f86c45587747.2060.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6ce540e1558284f9793fdfb4eff509c6495bb11a69321047444e8790d82a4996
|
3 |
+
size 411
|
runs/Dec13_17-40-47_f86c45587747/events.out.tfevents.1702489257.f86c45587747.2060.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95f23499f1e81cdfb1efd1a6cc7bd92a67c13ff9980cacd5bbdd4bcc1a14fa17
|
3 |
+
size 47230
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 2.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 1.339145591637934e+18,
|
4 |
+
"train_loss": 0.6042599819324634,
|
5 |
+
"train_runtime": 412.4773,
|
6 |
+
"train_samples_per_second": 41.893,
|
7 |
+
"train_steps_per_second": 2.618
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,358 +1,676 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 3000,
|
6 |
-
"global_step":
|
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": 0.
|
14 |
-
"loss": 2.
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.07,
|
19 |
-
"learning_rate": 0.
|
20 |
-
"loss":
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.11,
|
25 |
-
"learning_rate": 0.
|
26 |
-
"loss": 1.
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"learning_rate": 0.
|
32 |
-
"loss": 1.
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
-
"epoch": 0.
|
37 |
-
"learning_rate": 0.
|
38 |
-
"loss": 1.
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.22,
|
43 |
-
"learning_rate": 0.
|
44 |
-
"loss": 1.
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
-
"epoch": 0.
|
49 |
-
"learning_rate": 0.
|
50 |
-
"loss": 1.
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate": 0.
|
56 |
-
"loss": 1.
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
-
"learning_rate": 0.
|
62 |
-
"loss": 1.
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
-
"epoch": 0.
|
67 |
-
"learning_rate": 0.
|
68 |
-
"loss": 1.
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"learning_rate": 0.
|
74 |
-
"loss": 1.
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
-
"epoch": 0.
|
79 |
-
"learning_rate": 0.
|
80 |
-
"loss": 1.
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
-
"epoch": 0.
|
85 |
-
"learning_rate": 0.
|
86 |
-
"loss": 1.
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
-
"learning_rate": 0.
|
92 |
-
"loss": 1.
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate": 0.
|
98 |
-
"loss":
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"learning_rate": 0.
|
104 |
-
"loss":
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
-
"learning_rate": 0.
|
110 |
-
"loss": 1.
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
-
"learning_rate": 0.
|
116 |
-
"loss":
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 0.
|
121 |
-
"learning_rate": 0.
|
122 |
-
"loss":
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
-
"learning_rate": 0.
|
128 |
-
"loss": 0.
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"learning_rate": 0.
|
134 |
-
"loss": 0.
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"learning_rate": 0.
|
140 |
-
"loss":
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 0.
|
145 |
-
"learning_rate": 0.
|
146 |
-
"loss": 0.
|
147 |
"step": 230
|
148 |
},
|
149 |
{
|
150 |
-
"epoch": 0.
|
151 |
-
"learning_rate": 0.
|
152 |
-
"loss":
|
153 |
"step": 240
|
154 |
},
|
155 |
{
|
156 |
-
"epoch": 0.
|
157 |
-
"learning_rate": 0.
|
158 |
-
"loss": 0.
|
159 |
"step": 250
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"learning_rate": 0.
|
164 |
-
"loss": 0.
|
165 |
"step": 260
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0
|
169 |
-
"learning_rate": 0.
|
170 |
-
"loss":
|
171 |
"step": 270
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 1.
|
175 |
-
"learning_rate":
|
176 |
-
"loss": 0.
|
177 |
"step": 280
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 1.
|
181 |
-
"learning_rate":
|
182 |
-
"loss": 0.
|
183 |
"step": 290
|
184 |
},
|
185 |
{
|
186 |
-
"epoch": 1.
|
187 |
-
"learning_rate":
|
188 |
-
"loss": 0.
|
189 |
"step": 300
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 1.
|
193 |
-
"learning_rate":
|
194 |
-
"loss": 0.
|
195 |
"step": 310
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 1.
|
199 |
-
"learning_rate":
|
200 |
-
"loss": 0.
|
201 |
"step": 320
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 1.
|
205 |
-
"learning_rate":
|
206 |
-
"loss": 0.
|
207 |
"step": 330
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 1.
|
211 |
-
"learning_rate":
|
212 |
-
"loss": 0.
|
213 |
"step": 340
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 1.
|
217 |
-
"learning_rate":
|
218 |
-
"loss": 0.
|
219 |
"step": 350
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 1.
|
223 |
-
"learning_rate":
|
224 |
-
"loss": 0.
|
225 |
"step": 360
|
226 |
},
|
227 |
{
|
228 |
-
"epoch": 1.
|
229 |
-
"learning_rate":
|
230 |
-
"loss": 0.
|
231 |
"step": 370
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 1.
|
235 |
-
"learning_rate":
|
236 |
-
"loss": 0.
|
237 |
"step": 380
|
238 |
},
|
239 |
{
|
240 |
-
"epoch": 1.
|
241 |
-
"learning_rate":
|
242 |
-
"loss": 0.
|
243 |
"step": 390
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 1.
|
247 |
-
"learning_rate":
|
248 |
-
"loss": 0.
|
249 |
"step": 400
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 1.
|
253 |
-
"learning_rate":
|
254 |
-
"loss": 0.
|
255 |
"step": 410
|
256 |
},
|
257 |
{
|
258 |
-
"epoch": 1.
|
259 |
-
"learning_rate":
|
260 |
-
"loss": 0.
|
261 |
"step": 420
|
262 |
},
|
263 |
{
|
264 |
-
"epoch": 1.
|
265 |
-
"learning_rate":
|
266 |
-
"loss": 0.
|
267 |
"step": 430
|
268 |
},
|
269 |
{
|
270 |
-
"epoch": 1.
|
271 |
-
"learning_rate":
|
272 |
-
"loss": 0.
|
273 |
"step": 440
|
274 |
},
|
275 |
{
|
276 |
-
"epoch": 1.
|
277 |
-
"learning_rate":
|
278 |
-
"loss": 0.
|
279 |
"step": 450
|
280 |
},
|
281 |
{
|
282 |
-
"epoch": 1.
|
283 |
-
"learning_rate":
|
284 |
-
"loss": 0.
|
285 |
"step": 460
|
286 |
},
|
287 |
{
|
288 |
-
"epoch": 1.
|
289 |
-
"learning_rate":
|
290 |
-
"loss": 0.
|
291 |
"step": 470
|
292 |
},
|
293 |
{
|
294 |
-
"epoch": 1.
|
295 |
-
"learning_rate":
|
296 |
-
"loss": 0.
|
297 |
"step": 480
|
298 |
},
|
299 |
{
|
300 |
-
"epoch": 1.
|
301 |
-
"learning_rate":
|
302 |
-
"loss": 0.
|
303 |
"step": 490
|
304 |
},
|
305 |
{
|
306 |
-
"epoch": 1.
|
307 |
-
"learning_rate":
|
308 |
-
"loss": 0.
|
309 |
"step": 500
|
310 |
},
|
311 |
{
|
312 |
-
"epoch": 1.
|
313 |
-
"learning_rate":
|
314 |
-
"loss": 0.
|
315 |
"step": 510
|
316 |
},
|
317 |
{
|
318 |
-
"epoch": 1.
|
319 |
-
"learning_rate":
|
320 |
-
"loss": 0.
|
321 |
"step": 520
|
322 |
},
|
323 |
{
|
324 |
-
"epoch": 1.
|
325 |
-
"learning_rate":
|
326 |
-
"loss": 0.
|
327 |
"step": 530
|
328 |
},
|
329 |
{
|
330 |
-
"epoch":
|
331 |
-
"learning_rate":
|
332 |
-
"loss": 0.
|
333 |
"step": 540
|
334 |
},
|
335 |
{
|
336 |
-
"epoch":
|
337 |
-
"learning_rate":
|
338 |
-
"loss": 0.
|
339 |
"step": 550
|
340 |
},
|
341 |
{
|
342 |
-
"epoch": 2.
|
343 |
-
"
|
344 |
-
"
|
345 |
-
"
|
346 |
-
|
347 |
-
|
348 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
349 |
}
|
350 |
],
|
351 |
"logging_steps": 10,
|
352 |
-
"max_steps":
|
353 |
-
"num_train_epochs":
|
354 |
"save_steps": 3000,
|
355 |
-
"total_flos":
|
356 |
"trial_name": null,
|
357 |
"trial_params": null
|
358 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.0,
|
5 |
"eval_steps": 3000,
|
6 |
+
"global_step": 1080,
|
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": 0.00019814814814814814,
|
14 |
+
"loss": 2.1983,
|
15 |
"step": 10
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.07,
|
19 |
+
"learning_rate": 0.0001962962962962963,
|
20 |
+
"loss": 2.1208,
|
21 |
"step": 20
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.11,
|
25 |
+
"learning_rate": 0.00019444444444444446,
|
26 |
+
"loss": 1.8985,
|
27 |
"step": 30
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.15,
|
31 |
+
"learning_rate": 0.0001925925925925926,
|
32 |
+
"loss": 1.726,
|
33 |
"step": 40
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.19,
|
37 |
+
"learning_rate": 0.00019074074074074075,
|
38 |
+
"loss": 1.6799,
|
39 |
"step": 50
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.22,
|
43 |
+
"learning_rate": 0.00018888888888888888,
|
44 |
+
"loss": 1.5807,
|
45 |
"step": 60
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.26,
|
49 |
+
"learning_rate": 0.00018703703703703704,
|
50 |
+
"loss": 1.5165,
|
51 |
"step": 70
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.3,
|
55 |
+
"learning_rate": 0.0001851851851851852,
|
56 |
+
"loss": 1.4893,
|
57 |
"step": 80
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.33,
|
61 |
+
"learning_rate": 0.00018333333333333334,
|
62 |
+
"loss": 1.24,
|
63 |
"step": 90
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.37,
|
67 |
+
"learning_rate": 0.0001814814814814815,
|
68 |
+
"loss": 1.2977,
|
69 |
"step": 100
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.41,
|
73 |
+
"learning_rate": 0.00017962962962962963,
|
74 |
+
"loss": 1.2492,
|
75 |
"step": 110
|
76 |
},
|
77 |
{
|
78 |
+
"epoch": 0.44,
|
79 |
+
"learning_rate": 0.00017777777777777779,
|
80 |
+
"loss": 1.1566,
|
81 |
"step": 120
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 0.48,
|
85 |
+
"learning_rate": 0.00017592592592592595,
|
86 |
+
"loss": 1.3443,
|
87 |
"step": 130
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.52,
|
91 |
+
"learning_rate": 0.00017407407407407408,
|
92 |
+
"loss": 1.2112,
|
93 |
"step": 140
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.56,
|
97 |
+
"learning_rate": 0.00017222222222222224,
|
98 |
+
"loss": 1.0302,
|
99 |
"step": 150
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.59,
|
103 |
+
"learning_rate": 0.00017037037037037037,
|
104 |
+
"loss": 1.1856,
|
105 |
"step": 160
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.63,
|
109 |
+
"learning_rate": 0.00016851851851851853,
|
110 |
+
"loss": 1.1745,
|
111 |
"step": 170
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 0.67,
|
115 |
+
"learning_rate": 0.0001666666666666667,
|
116 |
+
"loss": 1.0659,
|
117 |
"step": 180
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 0.7,
|
121 |
+
"learning_rate": 0.00016481481481481482,
|
122 |
+
"loss": 1.0134,
|
123 |
"step": 190
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 0.74,
|
127 |
+
"learning_rate": 0.00016296296296296295,
|
128 |
+
"loss": 0.9692,
|
129 |
"step": 200
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.78,
|
133 |
+
"learning_rate": 0.0001611111111111111,
|
134 |
+
"loss": 0.8877,
|
135 |
"step": 210
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.81,
|
139 |
+
"learning_rate": 0.00015925925925925927,
|
140 |
+
"loss": 0.8419,
|
141 |
"step": 220
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 0.85,
|
145 |
+
"learning_rate": 0.00015740740740740743,
|
146 |
+
"loss": 0.9147,
|
147 |
"step": 230
|
148 |
},
|
149 |
{
|
150 |
+
"epoch": 0.89,
|
151 |
+
"learning_rate": 0.00015555555555555556,
|
152 |
+
"loss": 1.0111,
|
153 |
"step": 240
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 0.93,
|
157 |
+
"learning_rate": 0.0001537037037037037,
|
158 |
+
"loss": 0.9457,
|
159 |
"step": 250
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.96,
|
163 |
+
"learning_rate": 0.00015185185185185185,
|
164 |
+
"loss": 0.9867,
|
165 |
"step": 260
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 1.0,
|
169 |
+
"learning_rate": 0.00015000000000000001,
|
170 |
+
"loss": 1.1366,
|
171 |
"step": 270
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 1.04,
|
175 |
+
"learning_rate": 0.00014814814814814815,
|
176 |
+
"loss": 0.7648,
|
177 |
"step": 280
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 1.07,
|
181 |
+
"learning_rate": 0.0001462962962962963,
|
182 |
+
"loss": 0.8693,
|
183 |
"step": 290
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 1.11,
|
187 |
+
"learning_rate": 0.00014444444444444444,
|
188 |
+
"loss": 0.8179,
|
189 |
"step": 300
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 1.15,
|
193 |
+
"learning_rate": 0.0001425925925925926,
|
194 |
+
"loss": 0.8077,
|
195 |
"step": 310
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 1.19,
|
199 |
+
"learning_rate": 0.00014074074074074076,
|
200 |
+
"loss": 0.941,
|
201 |
"step": 320
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 1.22,
|
205 |
+
"learning_rate": 0.0001388888888888889,
|
206 |
+
"loss": 0.8906,
|
207 |
"step": 330
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 1.26,
|
211 |
+
"learning_rate": 0.00013703703703703705,
|
212 |
+
"loss": 0.8433,
|
213 |
"step": 340
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 1.3,
|
217 |
+
"learning_rate": 0.00013518518518518518,
|
218 |
+
"loss": 0.7654,
|
219 |
"step": 350
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 1.33,
|
223 |
+
"learning_rate": 0.00013333333333333334,
|
224 |
+
"loss": 0.7217,
|
225 |
"step": 360
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 1.37,
|
229 |
+
"learning_rate": 0.0001314814814814815,
|
230 |
+
"loss": 0.8744,
|
231 |
"step": 370
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 1.41,
|
235 |
+
"learning_rate": 0.00012962962962962963,
|
236 |
+
"loss": 0.6337,
|
237 |
"step": 380
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 1.44,
|
241 |
+
"learning_rate": 0.00012777777777777776,
|
242 |
+
"loss": 0.6369,
|
243 |
"step": 390
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 1.48,
|
247 |
+
"learning_rate": 0.00012592592592592592,
|
248 |
+
"loss": 0.5268,
|
249 |
"step": 400
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 1.52,
|
253 |
+
"learning_rate": 0.00012407407407407408,
|
254 |
+
"loss": 0.8015,
|
255 |
"step": 410
|
256 |
},
|
257 |
{
|
258 |
+
"epoch": 1.56,
|
259 |
+
"learning_rate": 0.00012222222222222224,
|
260 |
+
"loss": 0.5013,
|
261 |
"step": 420
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 1.59,
|
265 |
+
"learning_rate": 0.00012037037037037037,
|
266 |
+
"loss": 0.6063,
|
267 |
"step": 430
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 1.63,
|
271 |
+
"learning_rate": 0.00011851851851851852,
|
272 |
+
"loss": 0.7767,
|
273 |
"step": 440
|
274 |
},
|
275 |
{
|
276 |
+
"epoch": 1.67,
|
277 |
+
"learning_rate": 0.00011666666666666668,
|
278 |
+
"loss": 0.5174,
|
279 |
"step": 450
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 1.7,
|
283 |
+
"learning_rate": 0.00011481481481481482,
|
284 |
+
"loss": 0.6391,
|
285 |
"step": 460
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 1.74,
|
289 |
+
"learning_rate": 0.00011296296296296296,
|
290 |
+
"loss": 0.4966,
|
291 |
"step": 470
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 1.78,
|
295 |
+
"learning_rate": 0.00011111111111111112,
|
296 |
+
"loss": 0.5991,
|
297 |
"step": 480
|
298 |
},
|
299 |
{
|
300 |
+
"epoch": 1.81,
|
301 |
+
"learning_rate": 0.00010925925925925926,
|
302 |
+
"loss": 0.5499,
|
303 |
"step": 490
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 1.85,
|
307 |
+
"learning_rate": 0.00010740740740740742,
|
308 |
+
"loss": 0.5488,
|
309 |
"step": 500
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 1.89,
|
313 |
+
"learning_rate": 0.00010555555555555557,
|
314 |
+
"loss": 0.5834,
|
315 |
"step": 510
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 1.93,
|
319 |
+
"learning_rate": 0.0001037037037037037,
|
320 |
+
"loss": 0.6238,
|
321 |
"step": 520
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 1.96,
|
325 |
+
"learning_rate": 0.00010185185185185186,
|
326 |
+
"loss": 0.6365,
|
327 |
"step": 530
|
328 |
},
|
329 |
{
|
330 |
+
"epoch": 2.0,
|
331 |
+
"learning_rate": 0.0001,
|
332 |
+
"loss": 0.5337,
|
333 |
"step": 540
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 2.04,
|
337 |
+
"learning_rate": 9.814814814814815e-05,
|
338 |
+
"loss": 0.4326,
|
339 |
"step": 550
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 2.07,
|
343 |
+
"learning_rate": 9.62962962962963e-05,
|
344 |
+
"loss": 0.4197,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 2.11,
|
349 |
+
"learning_rate": 9.444444444444444e-05,
|
350 |
+
"loss": 0.3268,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 2.15,
|
355 |
+
"learning_rate": 9.25925925925926e-05,
|
356 |
+
"loss": 0.3066,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 2.19,
|
361 |
+
"learning_rate": 9.074074074074075e-05,
|
362 |
+
"loss": 0.4737,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 2.22,
|
367 |
+
"learning_rate": 8.888888888888889e-05,
|
368 |
+
"loss": 0.3185,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 2.26,
|
373 |
+
"learning_rate": 8.703703703703704e-05,
|
374 |
+
"loss": 0.4233,
|
375 |
+
"step": 610
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 2.3,
|
379 |
+
"learning_rate": 8.518518518518518e-05,
|
380 |
+
"loss": 0.3377,
|
381 |
+
"step": 620
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.33,
|
385 |
+
"learning_rate": 8.333333333333334e-05,
|
386 |
+
"loss": 0.3957,
|
387 |
+
"step": 630
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 2.37,
|
391 |
+
"learning_rate": 8.148148148148148e-05,
|
392 |
+
"loss": 0.3915,
|
393 |
+
"step": 640
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 2.41,
|
397 |
+
"learning_rate": 7.962962962962964e-05,
|
398 |
+
"loss": 0.3025,
|
399 |
+
"step": 650
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 2.44,
|
403 |
+
"learning_rate": 7.777777777777778e-05,
|
404 |
+
"loss": 0.2896,
|
405 |
+
"step": 660
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 2.48,
|
409 |
+
"learning_rate": 7.592592592592593e-05,
|
410 |
+
"loss": 0.2558,
|
411 |
+
"step": 670
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 2.52,
|
415 |
+
"learning_rate": 7.407407407407407e-05,
|
416 |
+
"loss": 0.3477,
|
417 |
+
"step": 680
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 2.56,
|
421 |
+
"learning_rate": 7.222222222222222e-05,
|
422 |
+
"loss": 0.2111,
|
423 |
+
"step": 690
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 2.59,
|
427 |
+
"learning_rate": 7.037037037037038e-05,
|
428 |
+
"loss": 0.2885,
|
429 |
+
"step": 700
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.63,
|
433 |
+
"learning_rate": 6.851851851851852e-05,
|
434 |
+
"loss": 0.2953,
|
435 |
+
"step": 710
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 2.67,
|
439 |
+
"learning_rate": 6.666666666666667e-05,
|
440 |
+
"loss": 0.2415,
|
441 |
+
"step": 720
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 2.7,
|
445 |
+
"learning_rate": 6.481481481481482e-05,
|
446 |
+
"loss": 0.3242,
|
447 |
+
"step": 730
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 2.74,
|
451 |
+
"learning_rate": 6.296296296296296e-05,
|
452 |
+
"loss": 0.2616,
|
453 |
+
"step": 740
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 2.78,
|
457 |
+
"learning_rate": 6.111111111111112e-05,
|
458 |
+
"loss": 0.2853,
|
459 |
+
"step": 750
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 2.81,
|
463 |
+
"learning_rate": 5.925925925925926e-05,
|
464 |
+
"loss": 0.2828,
|
465 |
+
"step": 760
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 2.85,
|
469 |
+
"learning_rate": 5.740740740740741e-05,
|
470 |
+
"loss": 0.2382,
|
471 |
+
"step": 770
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 2.89,
|
475 |
+
"learning_rate": 5.555555555555556e-05,
|
476 |
+
"loss": 0.3508,
|
477 |
+
"step": 780
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 2.93,
|
481 |
+
"learning_rate": 5.370370370370371e-05,
|
482 |
+
"loss": 0.2794,
|
483 |
+
"step": 790
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 2.96,
|
487 |
+
"learning_rate": 5.185185185185185e-05,
|
488 |
+
"loss": 0.3247,
|
489 |
+
"step": 800
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 3.0,
|
493 |
+
"learning_rate": 5e-05,
|
494 |
+
"loss": 0.2753,
|
495 |
+
"step": 810
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 3.04,
|
499 |
+
"learning_rate": 4.814814814814815e-05,
|
500 |
+
"loss": 0.1453,
|
501 |
+
"step": 820
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 3.07,
|
505 |
+
"learning_rate": 4.62962962962963e-05,
|
506 |
+
"loss": 0.1666,
|
507 |
+
"step": 830
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 3.11,
|
511 |
+
"learning_rate": 4.4444444444444447e-05,
|
512 |
+
"loss": 0.1369,
|
513 |
+
"step": 840
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 3.15,
|
517 |
+
"learning_rate": 4.259259259259259e-05,
|
518 |
+
"loss": 0.1086,
|
519 |
+
"step": 850
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 3.19,
|
523 |
+
"learning_rate": 4.074074074074074e-05,
|
524 |
+
"loss": 0.0967,
|
525 |
+
"step": 860
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 3.22,
|
529 |
+
"learning_rate": 3.888888888888889e-05,
|
530 |
+
"loss": 0.1327,
|
531 |
+
"step": 870
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 3.26,
|
535 |
+
"learning_rate": 3.7037037037037037e-05,
|
536 |
+
"loss": 0.0848,
|
537 |
+
"step": 880
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 3.3,
|
541 |
+
"learning_rate": 3.518518518518519e-05,
|
542 |
+
"loss": 0.1173,
|
543 |
+
"step": 890
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 3.33,
|
547 |
+
"learning_rate": 3.3333333333333335e-05,
|
548 |
+
"loss": 0.135,
|
549 |
+
"step": 900
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 3.37,
|
553 |
+
"learning_rate": 3.148148148148148e-05,
|
554 |
+
"loss": 0.1979,
|
555 |
+
"step": 910
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 3.41,
|
559 |
+
"learning_rate": 2.962962962962963e-05,
|
560 |
+
"loss": 0.1181,
|
561 |
+
"step": 920
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 3.44,
|
565 |
+
"learning_rate": 2.777777777777778e-05,
|
566 |
+
"loss": 0.0957,
|
567 |
+
"step": 930
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 3.48,
|
571 |
+
"learning_rate": 2.5925925925925925e-05,
|
572 |
+
"loss": 0.0927,
|
573 |
+
"step": 940
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 3.52,
|
577 |
+
"learning_rate": 2.4074074074074074e-05,
|
578 |
+
"loss": 0.094,
|
579 |
+
"step": 950
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 3.56,
|
583 |
+
"learning_rate": 2.2222222222222223e-05,
|
584 |
+
"loss": 0.1197,
|
585 |
+
"step": 960
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 3.59,
|
589 |
+
"learning_rate": 2.037037037037037e-05,
|
590 |
+
"loss": 0.0927,
|
591 |
+
"step": 970
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 3.63,
|
595 |
+
"learning_rate": 1.8518518518518518e-05,
|
596 |
+
"loss": 0.1523,
|
597 |
+
"step": 980
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 3.67,
|
601 |
+
"learning_rate": 1.6666666666666667e-05,
|
602 |
+
"loss": 0.2582,
|
603 |
+
"step": 990
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 3.7,
|
607 |
+
"learning_rate": 1.4814814814814815e-05,
|
608 |
+
"loss": 0.1101,
|
609 |
+
"step": 1000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 3.74,
|
613 |
+
"learning_rate": 1.2962962962962962e-05,
|
614 |
+
"loss": 0.1582,
|
615 |
+
"step": 1010
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 3.78,
|
619 |
+
"learning_rate": 1.1111111111111112e-05,
|
620 |
+
"loss": 0.0504,
|
621 |
+
"step": 1020
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 3.81,
|
625 |
+
"learning_rate": 9.259259259259259e-06,
|
626 |
+
"loss": 0.0788,
|
627 |
+
"step": 1030
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 3.85,
|
631 |
+
"learning_rate": 7.4074074074074075e-06,
|
632 |
+
"loss": 0.0607,
|
633 |
+
"step": 1040
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 3.89,
|
637 |
+
"learning_rate": 5.555555555555556e-06,
|
638 |
+
"loss": 0.1061,
|
639 |
+
"step": 1050
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 3.93,
|
643 |
+
"learning_rate": 3.7037037037037037e-06,
|
644 |
+
"loss": 0.0645,
|
645 |
+
"step": 1060
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 3.96,
|
649 |
+
"learning_rate": 1.8518518518518519e-06,
|
650 |
+
"loss": 0.0971,
|
651 |
+
"step": 1070
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 4.0,
|
655 |
+
"learning_rate": 0.0,
|
656 |
+
"loss": 0.128,
|
657 |
+
"step": 1080
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 4.0,
|
661 |
+
"step": 1080,
|
662 |
+
"total_flos": 1.339145591637934e+18,
|
663 |
+
"train_loss": 0.6042599819324634,
|
664 |
+
"train_runtime": 412.4773,
|
665 |
+
"train_samples_per_second": 41.893,
|
666 |
+
"train_steps_per_second": 2.618
|
667 |
}
|
668 |
],
|
669 |
"logging_steps": 10,
|
670 |
+
"max_steps": 1080,
|
671 |
+
"num_train_epochs": 4,
|
672 |
"save_steps": 3000,
|
673 |
+
"total_flos": 1.339145591637934e+18,
|
674 |
"trial_name": null,
|
675 |
"trial_params": null
|
676 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4536
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce8c248f033e489c055bf6bb31f2e28906b79dad7e44578cd117fc71cea6f0e4
|
3 |
size 4536
|