Upload ./trainer_state.json with huggingface_hub
Browse files- trainer_state.json +38 -348
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./output/training_results/
|
4 |
-
"epoch":
|
5 |
-
"eval_steps":
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -12,363 +12,53 @@
|
|
12 |
"epoch": 0.020833333333333332,
|
13 |
"grad_norm": 0.0,
|
14 |
"learning_rate": 0.0,
|
15 |
-
"loss":
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss": 0.
|
23 |
-
"step":
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.20833333333333334,
|
27 |
-
"grad_norm": 4.434846352911407,
|
28 |
-
"learning_rate": 5.25e-06,
|
29 |
-
"loss": 0.8439,
|
30 |
-
"step": 10
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 0.3125,
|
34 |
-
"grad_norm": 4.931092332966974,
|
35 |
-
"learning_rate": 9e-06,
|
36 |
-
"loss": 0.8244,
|
37 |
-
"step": 15
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 0.4166666666666667,
|
41 |
-
"grad_norm": 5.012867232413473,
|
42 |
-
"learning_rate": 1.275e-05,
|
43 |
-
"loss": 0.8145,
|
44 |
-
"step": 20
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.4166666666666667,
|
48 |
-
"eval_loss": 0.8468257784843445,
|
49 |
-
"eval_runtime": 1.9881,
|
50 |
-
"eval_samples_per_second": 171.019,
|
51 |
-
"eval_steps_per_second": 1.509,
|
52 |
-
"step": 20
|
53 |
-
},
|
54 |
-
{
|
55 |
-
"epoch": 0.5208333333333334,
|
56 |
-
"grad_norm": 4.449941139886805,
|
57 |
-
"learning_rate": 1.3195176200175283e-05,
|
58 |
-
"loss": 0.8159,
|
59 |
-
"step": 25
|
60 |
-
},
|
61 |
-
{
|
62 |
-
"epoch": 0.625,
|
63 |
-
"grad_norm": 4.18135091284813,
|
64 |
-
"learning_rate": 9.515676612044427e-06,
|
65 |
-
"loss": 0.8957,
|
66 |
-
"step": 30
|
67 |
-
},
|
68 |
-
{
|
69 |
-
"epoch": 0.7291666666666666,
|
70 |
-
"grad_norm": 3.752406031727004,
|
71 |
-
"learning_rate": 6.797580677308734e-06,
|
72 |
-
"loss": 0.8129,
|
73 |
-
"step": 35
|
74 |
-
},
|
75 |
-
{
|
76 |
-
"epoch": 0.8333333333333334,
|
77 |
-
"grad_norm": 4.1430378216898704,
|
78 |
-
"learning_rate": 4.808575415542887e-06,
|
79 |
-
"loss": 0.7939,
|
80 |
-
"step": 40
|
81 |
-
},
|
82 |
-
{
|
83 |
-
"epoch": 0.8333333333333334,
|
84 |
-
"eval_loss": 0.8431944847106934,
|
85 |
-
"eval_runtime": 1.9703,
|
86 |
-
"eval_samples_per_second": 172.563,
|
87 |
-
"eval_steps_per_second": 1.523,
|
88 |
-
"step": 40
|
89 |
-
},
|
90 |
-
{
|
91 |
-
"epoch": 0.9375,
|
92 |
-
"grad_norm": 4.01217841380717,
|
93 |
-
"learning_rate": 3.3676619069852654e-06,
|
94 |
-
"loss": 0.8733,
|
95 |
-
"step": 45
|
96 |
-
},
|
97 |
-
{
|
98 |
-
"epoch": 1.0416666666666667,
|
99 |
-
"grad_norm": 3.732637485037027,
|
100 |
-
"learning_rate": 2.334947896124909e-06,
|
101 |
-
"loss": 0.7185,
|
102 |
-
"step": 50
|
103 |
-
},
|
104 |
-
{
|
105 |
-
"epoch": 1.1458333333333333,
|
106 |
-
"grad_norm": 3.043619829639132,
|
107 |
-
"learning_rate": 1.603233215095547e-06,
|
108 |
-
"loss": 0.4622,
|
109 |
-
"step": 55
|
110 |
-
},
|
111 |
-
{
|
112 |
-
"epoch": 1.25,
|
113 |
-
"grad_norm": 3.636342734483024,
|
114 |
-
"learning_rate": 1.0911174606561334e-06,
|
115 |
-
"loss": 0.4337,
|
116 |
-
"step": 60
|
117 |
-
},
|
118 |
-
{
|
119 |
-
"epoch": 1.25,
|
120 |
-
"eval_loss": 0.8652567267417908,
|
121 |
-
"eval_runtime": 1.9663,
|
122 |
-
"eval_samples_per_second": 172.915,
|
123 |
-
"eval_steps_per_second": 1.526,
|
124 |
-
"step": 60
|
125 |
-
},
|
126 |
-
{
|
127 |
-
"epoch": 1.3541666666666667,
|
128 |
-
"grad_norm": 3.721014386073381,
|
129 |
-
"learning_rate": 7.373930741131784e-07,
|
130 |
-
"loss": 0.3948,
|
131 |
-
"step": 65
|
132 |
-
},
|
133 |
-
{
|
134 |
-
"epoch": 1.4583333333333333,
|
135 |
-
"grad_norm": 4.272747622198974,
|
136 |
-
"learning_rate": 4.965174334325768e-07,
|
137 |
-
"loss": 0.4398,
|
138 |
-
"step": 70
|
139 |
-
},
|
140 |
-
{
|
141 |
-
"epoch": 1.5625,
|
142 |
-
"grad_norm": 4.702025195189812,
|
143 |
-
"learning_rate": 3.349849877937343e-07,
|
144 |
-
"loss": 0.4357,
|
145 |
-
"step": 75
|
146 |
-
},
|
147 |
-
{
|
148 |
-
"epoch": 1.6666666666666665,
|
149 |
-
"grad_norm": 3.878800809642797,
|
150 |
-
"learning_rate": 2.2844505627726646e-07,
|
151 |
-
"loss": 0.4546,
|
152 |
-
"step": 80
|
153 |
-
},
|
154 |
-
{
|
155 |
-
"epoch": 1.6666666666666665,
|
156 |
-
"eval_loss": 0.8523830771446228,
|
157 |
-
"eval_runtime": 1.9683,
|
158 |
-
"eval_samples_per_second": 172.737,
|
159 |
-
"eval_steps_per_second": 1.524,
|
160 |
-
"step": 80
|
161 |
-
},
|
162 |
-
{
|
163 |
-
"epoch": 1.7708333333333335,
|
164 |
-
"grad_norm": 3.433258345841423,
|
165 |
-
"learning_rate": 1.594328760942437e-07,
|
166 |
-
"loss": 0.4238,
|
167 |
-
"step": 85
|
168 |
-
},
|
169 |
-
{
|
170 |
-
"epoch": 1.875,
|
171 |
-
"grad_norm": 3.4246678351281,
|
172 |
-
"learning_rate": 1.156010161291434e-07,
|
173 |
-
"loss": 0.4194,
|
174 |
-
"step": 90
|
175 |
-
},
|
176 |
-
{
|
177 |
-
"epoch": 1.9791666666666665,
|
178 |
-
"grad_norm": 4.120006985739495,
|
179 |
-
"learning_rate": 8.835555547373544e-08,
|
180 |
-
"loss": 0.4784,
|
181 |
-
"step": 95
|
182 |
-
},
|
183 |
-
{
|
184 |
-
"epoch": 2.0833333333333335,
|
185 |
-
"grad_norm": 3.440494197786637,
|
186 |
-
"learning_rate": 7.181664349277562e-08,
|
187 |
-
"loss": 0.3886,
|
188 |
-
"step": 100
|
189 |
-
},
|
190 |
-
{
|
191 |
-
"epoch": 2.0833333333333335,
|
192 |
-
"eval_loss": 0.8477094769477844,
|
193 |
-
"eval_runtime": 1.9597,
|
194 |
-
"eval_samples_per_second": 173.492,
|
195 |
-
"eval_steps_per_second": 1.531,
|
196 |
-
"step": 100
|
197 |
-
},
|
198 |
-
{
|
199 |
-
"epoch": 2.1875,
|
200 |
-
"grad_norm": 3.2905186031662637,
|
201 |
-
"learning_rate": 6.203637972657601e-08,
|
202 |
-
"loss": 0.3689,
|
203 |
-
"step": 105
|
204 |
-
},
|
205 |
-
{
|
206 |
-
"epoch": 2.2916666666666665,
|
207 |
-
"grad_norm": 3.2557322300638707,
|
208 |
-
"learning_rate": 5.6418543066491835e-08,
|
209 |
-
"loss": 0.3967,
|
210 |
-
"step": 110
|
211 |
-
},
|
212 |
-
{
|
213 |
-
"epoch": 2.3958333333333335,
|
214 |
-
"grad_norm": 3.4533216456969154,
|
215 |
-
"learning_rate": 5.329471712759216e-08,
|
216 |
-
"loss": 0.356,
|
217 |
-
"step": 115
|
218 |
-
},
|
219 |
-
{
|
220 |
-
"epoch": 2.5,
|
221 |
-
"grad_norm": 4.435421310367252,
|
222 |
-
"learning_rate": 5.161995210302015e-08,
|
223 |
-
"loss": 0.3963,
|
224 |
-
"step": 120
|
225 |
-
},
|
226 |
-
{
|
227 |
-
"epoch": 2.5,
|
228 |
-
"eval_loss": 0.8523402214050293,
|
229 |
-
"eval_runtime": 1.9645,
|
230 |
-
"eval_samples_per_second": 173.073,
|
231 |
-
"eval_steps_per_second": 1.527,
|
232 |
-
"step": 120
|
233 |
-
},
|
234 |
-
{
|
235 |
-
"epoch": 2.6041666666666665,
|
236 |
-
"grad_norm": 3.534509862323624,
|
237 |
-
"learning_rate": 5.075841465580837e-08,
|
238 |
-
"loss": 0.3745,
|
239 |
-
"step": 125
|
240 |
-
},
|
241 |
-
{
|
242 |
-
"epoch": 2.7083333333333335,
|
243 |
-
"grad_norm": 3.6392331005784455,
|
244 |
-
"learning_rate": 5.033564114946932e-08,
|
245 |
-
"loss": 0.3739,
|
246 |
-
"step": 130
|
247 |
-
},
|
248 |
-
{
|
249 |
-
"epoch": 2.8125,
|
250 |
-
"grad_norm": 3.403135268036561,
|
251 |
-
"learning_rate": 5.013915282607116e-08,
|
252 |
-
"loss": 0.375,
|
253 |
-
"step": 135
|
254 |
-
},
|
255 |
-
{
|
256 |
-
"epoch": 2.9166666666666665,
|
257 |
-
"grad_norm": 3.2635906832893986,
|
258 |
-
"learning_rate": 5.005343402153039e-08,
|
259 |
-
"loss": 0.3728,
|
260 |
-
"step": 140
|
261 |
-
},
|
262 |
-
{
|
263 |
-
"epoch": 2.9166666666666665,
|
264 |
-
"eval_loss": 0.8571116328239441,
|
265 |
-
"eval_runtime": 1.9607,
|
266 |
-
"eval_samples_per_second": 173.407,
|
267 |
-
"eval_steps_per_second": 1.53,
|
268 |
-
"step": 140
|
269 |
-
},
|
270 |
-
{
|
271 |
-
"epoch": 3.0208333333333335,
|
272 |
-
"grad_norm": 2.935995500247785,
|
273 |
-
"learning_rate": 5.001872829857116e-08,
|
274 |
-
"loss": 0.3761,
|
275 |
-
"step": 145
|
276 |
-
},
|
277 |
-
{
|
278 |
-
"epoch": 3.125,
|
279 |
-
"grad_norm": 3.1843597559668586,
|
280 |
-
"learning_rate": 5.000587713853837e-08,
|
281 |
-
"loss": 0.3705,
|
282 |
-
"step": 150
|
283 |
-
},
|
284 |
-
{
|
285 |
-
"epoch": 3.2291666666666665,
|
286 |
-
"grad_norm": 3.189160099244143,
|
287 |
-
"learning_rate": 5.0001608748597456e-08,
|
288 |
-
"loss": 0.3663,
|
289 |
-
"step": 155
|
290 |
-
},
|
291 |
-
{
|
292 |
-
"epoch": 3.3333333333333335,
|
293 |
-
"grad_norm": 4.57809262740007,
|
294 |
-
"learning_rate": 5.0000370319656156e-08,
|
295 |
-
"loss": 0.3681,
|
296 |
-
"step": 160
|
297 |
-
},
|
298 |
-
{
|
299 |
-
"epoch": 3.3333333333333335,
|
300 |
-
"eval_loss": 0.8608238101005554,
|
301 |
-
"eval_runtime": 1.959,
|
302 |
-
"eval_samples_per_second": 173.559,
|
303 |
-
"eval_steps_per_second": 1.531,
|
304 |
-
"step": 160
|
305 |
-
},
|
306 |
-
{
|
307 |
-
"epoch": 3.4375,
|
308 |
-
"grad_norm": 3.2737719408968937,
|
309 |
-
"learning_rate": 5.0000067945715855e-08,
|
310 |
-
"loss": 0.3625,
|
311 |
-
"step": 165
|
312 |
-
},
|
313 |
-
{
|
314 |
-
"epoch": 3.5416666666666665,
|
315 |
-
"grad_norm": 3.693883088182916,
|
316 |
-
"learning_rate": 5.0000009144677036e-08,
|
317 |
-
"loss": 0.35,
|
318 |
-
"step": 170
|
319 |
-
},
|
320 |
-
{
|
321 |
-
"epoch": 3.6458333333333335,
|
322 |
-
"grad_norm": 3.4068564249987734,
|
323 |
-
"learning_rate": 5.0000000785521776e-08,
|
324 |
-
"loss": 0.3634,
|
325 |
-
"step": 175
|
326 |
-
},
|
327 |
-
{
|
328 |
-
"epoch": 3.75,
|
329 |
-
"grad_norm": 3.4105928150946205,
|
330 |
-
"learning_rate": 5.000000003317662e-08,
|
331 |
-
"loss": 0.3621,
|
332 |
-
"step": 180
|
333 |
},
|
334 |
{
|
335 |
-
"epoch":
|
336 |
-
"eval_loss":
|
337 |
-
"eval_runtime":
|
338 |
-
"eval_samples_per_second":
|
339 |
-
"eval_steps_per_second":
|
340 |
-
"step":
|
341 |
},
|
342 |
{
|
343 |
-
"epoch":
|
344 |
-
"grad_norm":
|
345 |
-
"learning_rate":
|
346 |
-
"loss":
|
347 |
-
"step":
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
-
"grad_norm":
|
352 |
-
"learning_rate":
|
353 |
-
"loss": 0.
|
354 |
-
"step":
|
355 |
},
|
356 |
{
|
357 |
-
"epoch":
|
358 |
-
"
|
359 |
-
"
|
360 |
-
"
|
361 |
-
"
|
362 |
-
"
|
363 |
-
"train_steps_per_second": 0.184
|
364 |
}
|
365 |
],
|
366 |
-
"logging_steps":
|
367 |
-
"max_steps":
|
368 |
"num_input_tokens_seen": 0,
|
369 |
-
"num_train_epochs":
|
370 |
-
"save_steps":
|
371 |
-
"total_flos":
|
372 |
"train_batch_size": 8,
|
373 |
"trial_name": null,
|
374 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8155183792114258,
|
3 |
+
"best_model_checkpoint": "./output/training_results/C020_Meta-Llama-3-8B_instruct_20240729_032429/checkpoint-10",
|
4 |
+
"epoch": 0.20833333333333334,
|
5 |
+
"eval_steps": 5,
|
6 |
+
"global_step": 10,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
12 |
"epoch": 0.020833333333333332,
|
13 |
"grad_norm": 0.0,
|
14 |
"learning_rate": 0.0,
|
15 |
+
"loss": 1.0187,
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.0625,
|
20 |
+
"grad_norm": 0.0,
|
21 |
+
"learning_rate": 0.0,
|
22 |
+
"loss": 0.946,
|
23 |
+
"step": 3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.10416666666666667,
|
27 |
+
"eval_loss": 1.0251731872558594,
|
28 |
+
"eval_runtime": 0.8943,
|
29 |
+
"eval_samples_per_second": 380.189,
|
30 |
+
"eval_steps_per_second": 3.355,
|
31 |
+
"step": 5
|
32 |
},
|
33 |
{
|
34 |
+
"epoch": 0.125,
|
35 |
+
"grad_norm": 13.805769787987279,
|
36 |
+
"learning_rate": 2.25e-06,
|
37 |
+
"loss": 1.0778,
|
38 |
+
"step": 6
|
39 |
},
|
40 |
{
|
41 |
+
"epoch": 0.1875,
|
42 |
+
"grad_norm": 5.41697677358006,
|
43 |
+
"learning_rate": 2.865909090909091e-06,
|
44 |
+
"loss": 0.8781,
|
45 |
+
"step": 9
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.20833333333333334,
|
49 |
+
"eval_loss": 0.8155183792114258,
|
50 |
+
"eval_runtime": 0.8756,
|
51 |
+
"eval_samples_per_second": 388.315,
|
52 |
+
"eval_steps_per_second": 3.426,
|
53 |
+
"step": 10
|
|
|
54 |
}
|
55 |
],
|
56 |
+
"logging_steps": 3,
|
57 |
+
"max_steps": 48,
|
58 |
"num_input_tokens_seen": 0,
|
59 |
+
"num_train_epochs": 1,
|
60 |
+
"save_steps": 10,
|
61 |
+
"total_flos": 207641640960.0,
|
62 |
"train_batch_size": 8,
|
63 |
"trial_name": null,
|
64 |
"trial_params": null
|