grammar-anarchist
commited on
Commit
•
f707cb1
1
Parent(s):
ba98d3e
Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +412 -0
trainer_state.json
ADDED
@@ -0,0 +1,412 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.18451988697052002,
|
3 |
+
"best_model_checkpoint": "./models/results_one_liners_693/checkpoint-325",
|
4 |
+
"epoch": 0.9374436632413917,
|
5 |
+
"global_step": 325,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 4.000000000000001e-06,
|
13 |
+
"loss": 0.6947,
|
14 |
+
"step": 8
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 8.000000000000001e-06,
|
19 |
+
"loss": 0.6932,
|
20 |
+
"step": 16
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.07,
|
24 |
+
"learning_rate": 1.2e-05,
|
25 |
+
"loss": 0.6919,
|
26 |
+
"step": 24
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.07,
|
30 |
+
"eval_accuracy": 0.6413249211356467,
|
31 |
+
"eval_f1": 0.7321554770318023,
|
32 |
+
"eval_loss": 0.6814908981323242,
|
33 |
+
"eval_precision": 0.5779100037188546,
|
34 |
+
"eval_recall": 0.9987146529562982,
|
35 |
+
"eval_runtime": 21.2769,
|
36 |
+
"eval_samples_per_second": 148.988,
|
37 |
+
"eval_steps_per_second": 18.659,
|
38 |
+
"step": 25
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.09,
|
42 |
+
"learning_rate": 1.6000000000000003e-05,
|
43 |
+
"loss": 0.673,
|
44 |
+
"step": 32
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"learning_rate": 2e-05,
|
49 |
+
"loss": 0.6191,
|
50 |
+
"step": 40
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.14,
|
54 |
+
"learning_rate": 2.4e-05,
|
55 |
+
"loss": 0.4553,
|
56 |
+
"step": 48
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.14,
|
60 |
+
"eval_accuracy": 0.8596214511041009,
|
61 |
+
"eval_f1": 0.8499156829679595,
|
62 |
+
"eval_loss": 0.34521493315696716,
|
63 |
+
"eval_precision": 0.8942512420156139,
|
64 |
+
"eval_recall": 0.8097686375321337,
|
65 |
+
"eval_runtime": 20.9603,
|
66 |
+
"eval_samples_per_second": 151.238,
|
67 |
+
"eval_steps_per_second": 18.941,
|
68 |
+
"step": 50
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.16,
|
72 |
+
"learning_rate": 2.8000000000000003e-05,
|
73 |
+
"loss": 0.344,
|
74 |
+
"step": 56
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.18,
|
78 |
+
"learning_rate": 3.2000000000000005e-05,
|
79 |
+
"loss": 0.3474,
|
80 |
+
"step": 64
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.21,
|
84 |
+
"learning_rate": 3.6e-05,
|
85 |
+
"loss": 0.363,
|
86 |
+
"step": 72
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.22,
|
90 |
+
"eval_accuracy": 0.8933753943217666,
|
91 |
+
"eval_f1": 0.8901884340480831,
|
92 |
+
"eval_loss": 0.25991594791412354,
|
93 |
+
"eval_precision": 0.900131406044678,
|
94 |
+
"eval_recall": 0.8804627249357326,
|
95 |
+
"eval_runtime": 20.8982,
|
96 |
+
"eval_samples_per_second": 151.688,
|
97 |
+
"eval_steps_per_second": 18.997,
|
98 |
+
"step": 75
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.23,
|
102 |
+
"learning_rate": 3.9500000000000005e-05,
|
103 |
+
"loss": 0.3698,
|
104 |
+
"step": 80
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.25,
|
108 |
+
"learning_rate": 4.35e-05,
|
109 |
+
"loss": 0.2855,
|
110 |
+
"step": 88
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.28,
|
114 |
+
"learning_rate": 4.75e-05,
|
115 |
+
"loss": 0.3564,
|
116 |
+
"step": 96
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.29,
|
120 |
+
"eval_accuracy": 0.8902208201892744,
|
121 |
+
"eval_f1": 0.8932515337423313,
|
122 |
+
"eval_loss": 0.2616112232208252,
|
123 |
+
"eval_precision": 0.8544600938967136,
|
124 |
+
"eval_recall": 0.9357326478149101,
|
125 |
+
"eval_runtime": 20.9191,
|
126 |
+
"eval_samples_per_second": 151.536,
|
127 |
+
"eval_steps_per_second": 18.978,
|
128 |
+
"step": 100
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.3,
|
132 |
+
"learning_rate": 4.9390243902439024e-05,
|
133 |
+
"loss": 0.271,
|
134 |
+
"step": 104
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.32,
|
138 |
+
"learning_rate": 4.776422764227643e-05,
|
139 |
+
"loss": 0.3519,
|
140 |
+
"step": 112
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.35,
|
144 |
+
"learning_rate": 4.613821138211382e-05,
|
145 |
+
"loss": 0.3108,
|
146 |
+
"step": 120
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.36,
|
150 |
+
"eval_accuracy": 0.8943217665615142,
|
151 |
+
"eval_f1": 0.8949513954217623,
|
152 |
+
"eval_loss": 0.2482648640871048,
|
153 |
+
"eval_precision": 0.8738518064911206,
|
154 |
+
"eval_recall": 0.9170951156812339,
|
155 |
+
"eval_runtime": 20.9132,
|
156 |
+
"eval_samples_per_second": 151.579,
|
157 |
+
"eval_steps_per_second": 18.983,
|
158 |
+
"step": 125
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.37,
|
162 |
+
"learning_rate": 4.451219512195122e-05,
|
163 |
+
"loss": 0.2794,
|
164 |
+
"step": 128
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.39,
|
168 |
+
"learning_rate": 4.2886178861788616e-05,
|
169 |
+
"loss": 0.3446,
|
170 |
+
"step": 136
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.42,
|
174 |
+
"learning_rate": 4.146341463414634e-05,
|
175 |
+
"loss": 0.2649,
|
176 |
+
"step": 144
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.43,
|
180 |
+
"eval_accuracy": 0.9123028391167193,
|
181 |
+
"eval_f1": 0.9100905562742561,
|
182 |
+
"eval_loss": 0.22195443511009216,
|
183 |
+
"eval_precision": 0.916015625,
|
184 |
+
"eval_recall": 0.9042416452442159,
|
185 |
+
"eval_runtime": 20.8531,
|
186 |
+
"eval_samples_per_second": 152.016,
|
187 |
+
"eval_steps_per_second": 19.038,
|
188 |
+
"step": 150
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.44,
|
192 |
+
"learning_rate": 3.983739837398374e-05,
|
193 |
+
"loss": 0.2772,
|
194 |
+
"step": 152
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.46,
|
198 |
+
"learning_rate": 3.8211382113821145e-05,
|
199 |
+
"loss": 0.2738,
|
200 |
+
"step": 160
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.48,
|
204 |
+
"learning_rate": 3.6585365853658535e-05,
|
205 |
+
"loss": 0.3146,
|
206 |
+
"step": 168
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.5,
|
210 |
+
"eval_accuracy": 0.9082018927444795,
|
211 |
+
"eval_f1": 0.9041817583141256,
|
212 |
+
"eval_loss": 0.22258049249649048,
|
213 |
+
"eval_precision": 0.9270762997974341,
|
214 |
+
"eval_recall": 0.8823907455012854,
|
215 |
+
"eval_runtime": 20.9525,
|
216 |
+
"eval_samples_per_second": 151.295,
|
217 |
+
"eval_steps_per_second": 18.948,
|
218 |
+
"step": 175
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.51,
|
222 |
+
"learning_rate": 3.495934959349594e-05,
|
223 |
+
"loss": 0.2606,
|
224 |
+
"step": 176
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.53,
|
228 |
+
"learning_rate": 3.3333333333333335e-05,
|
229 |
+
"loss": 0.1921,
|
230 |
+
"step": 184
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.55,
|
234 |
+
"learning_rate": 3.170731707317073e-05,
|
235 |
+
"loss": 0.1973,
|
236 |
+
"step": 192
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.58,
|
240 |
+
"learning_rate": 3.0081300813008135e-05,
|
241 |
+
"loss": 0.2459,
|
242 |
+
"step": 200
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.58,
|
246 |
+
"eval_accuracy": 0.8917981072555206,
|
247 |
+
"eval_f1": 0.8987304399173309,
|
248 |
+
"eval_loss": 0.27942967414855957,
|
249 |
+
"eval_precision": 0.8312397596941562,
|
250 |
+
"eval_recall": 0.9781491002570694,
|
251 |
+
"eval_runtime": 21.1312,
|
252 |
+
"eval_samples_per_second": 150.015,
|
253 |
+
"eval_steps_per_second": 18.787,
|
254 |
+
"step": 200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.6,
|
258 |
+
"learning_rate": 2.8455284552845528e-05,
|
259 |
+
"loss": 0.2524,
|
260 |
+
"step": 208
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.62,
|
264 |
+
"learning_rate": 2.682926829268293e-05,
|
265 |
+
"loss": 0.2249,
|
266 |
+
"step": 216
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.65,
|
270 |
+
"learning_rate": 2.5203252032520324e-05,
|
271 |
+
"loss": 0.286,
|
272 |
+
"step": 224
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.65,
|
276 |
+
"eval_accuracy": 0.9261829652996846,
|
277 |
+
"eval_f1": 0.9265536723163842,
|
278 |
+
"eval_loss": 0.20206698775291443,
|
279 |
+
"eval_precision": 0.905521472392638,
|
280 |
+
"eval_recall": 0.9485861182519281,
|
281 |
+
"eval_runtime": 21.0759,
|
282 |
+
"eval_samples_per_second": 150.409,
|
283 |
+
"eval_steps_per_second": 18.837,
|
284 |
+
"step": 225
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.67,
|
288 |
+
"learning_rate": 2.3577235772357724e-05,
|
289 |
+
"loss": 0.2469,
|
290 |
+
"step": 232
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.69,
|
294 |
+
"learning_rate": 2.1951219512195124e-05,
|
295 |
+
"loss": 0.2506,
|
296 |
+
"step": 240
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.72,
|
300 |
+
"learning_rate": 2.032520325203252e-05,
|
301 |
+
"loss": 0.1756,
|
302 |
+
"step": 248
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.72,
|
306 |
+
"eval_accuracy": 0.9233438485804416,
|
307 |
+
"eval_f1": 0.9235127478753541,
|
308 |
+
"eval_loss": 0.20944611728191376,
|
309 |
+
"eval_precision": 0.904996915484269,
|
310 |
+
"eval_recall": 0.9428020565552699,
|
311 |
+
"eval_runtime": 21.6836,
|
312 |
+
"eval_samples_per_second": 146.193,
|
313 |
+
"eval_steps_per_second": 18.309,
|
314 |
+
"step": 250
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.74,
|
318 |
+
"learning_rate": 1.869918699186992e-05,
|
319 |
+
"loss": 0.2227,
|
320 |
+
"step": 256
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.76,
|
324 |
+
"learning_rate": 1.707317073170732e-05,
|
325 |
+
"loss": 0.2191,
|
326 |
+
"step": 264
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.78,
|
330 |
+
"learning_rate": 1.5447154471544717e-05,
|
331 |
+
"loss": 0.1611,
|
332 |
+
"step": 272
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.79,
|
336 |
+
"eval_accuracy": 0.9280757097791799,
|
337 |
+
"eval_f1": 0.9263089851325145,
|
338 |
+
"eval_loss": 0.19648678600788116,
|
339 |
+
"eval_precision": 0.9317295188556567,
|
340 |
+
"eval_recall": 0.9209511568123393,
|
341 |
+
"eval_runtime": 21.0389,
|
342 |
+
"eval_samples_per_second": 150.673,
|
343 |
+
"eval_steps_per_second": 18.87,
|
344 |
+
"step": 275
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.81,
|
348 |
+
"learning_rate": 1.3821138211382115e-05,
|
349 |
+
"loss": 0.1854,
|
350 |
+
"step": 280
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.83,
|
354 |
+
"learning_rate": 1.2195121951219513e-05,
|
355 |
+
"loss": 0.1772,
|
356 |
+
"step": 288
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.85,
|
360 |
+
"learning_rate": 1.0569105691056911e-05,
|
361 |
+
"loss": 0.2562,
|
362 |
+
"step": 296
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.87,
|
366 |
+
"eval_accuracy": 0.9236593059936908,
|
367 |
+
"eval_f1": 0.9252625077208154,
|
368 |
+
"eval_loss": 0.20132240653038025,
|
369 |
+
"eval_precision": 0.8906064209274673,
|
370 |
+
"eval_recall": 0.9627249357326478,
|
371 |
+
"eval_runtime": 21.0921,
|
372 |
+
"eval_samples_per_second": 150.293,
|
373 |
+
"eval_steps_per_second": 18.822,
|
374 |
+
"step": 300
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.88,
|
378 |
+
"learning_rate": 8.94308943089431e-06,
|
379 |
+
"loss": 0.2303,
|
380 |
+
"step": 304
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.9,
|
384 |
+
"learning_rate": 7.317073170731707e-06,
|
385 |
+
"loss": 0.2242,
|
386 |
+
"step": 312
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.92,
|
390 |
+
"learning_rate": 5.6910569105691056e-06,
|
391 |
+
"loss": 0.1955,
|
392 |
+
"step": 320
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.94,
|
396 |
+
"eval_accuracy": 0.931230283911672,
|
397 |
+
"eval_f1": 0.9316185696361355,
|
398 |
+
"eval_loss": 0.18451988697052002,
|
399 |
+
"eval_precision": 0.9099264705882353,
|
400 |
+
"eval_recall": 0.9543701799485861,
|
401 |
+
"eval_runtime": 20.9834,
|
402 |
+
"eval_samples_per_second": 151.072,
|
403 |
+
"eval_steps_per_second": 18.92,
|
404 |
+
"step": 325
|
405 |
+
}
|
406 |
+
],
|
407 |
+
"max_steps": 346,
|
408 |
+
"num_train_epochs": 1,
|
409 |
+
"total_flos": 619955424192000.0,
|
410 |
+
"trial_name": null,
|
411 |
+
"trial_params": null
|
412 |
+
}
|