Delete trainer_state.json
Browse files- trainer_state.json +0 -357
trainer_state.json
DELETED
@@ -1,357 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"best_metric": null,
|
3 |
-
"best_model_checkpoint": null,
|
4 |
-
"epoch": 43.146067415730336,
|
5 |
-
"eval_steps": 500,
|
6 |
-
"global_step": 960,
|
7 |
-
"is_hyper_param_search": false,
|
8 |
-
"is_local_process_zero": true,
|
9 |
-
"is_world_process_zero": true,
|
10 |
-
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.9,
|
13 |
-
"grad_norm": 7.640738010406494,
|
14 |
-
"learning_rate": 0.0002,
|
15 |
-
"loss": 4.2661,
|
16 |
-
"step": 20
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 1.8,
|
20 |
-
"grad_norm": 2.9313442707061768,
|
21 |
-
"learning_rate": 0.0002,
|
22 |
-
"loss": 2.306,
|
23 |
-
"step": 40
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 2.7,
|
27 |
-
"grad_norm": 0.9562789797782898,
|
28 |
-
"learning_rate": 0.0002,
|
29 |
-
"loss": 2.0093,
|
30 |
-
"step": 60
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 3.6,
|
34 |
-
"grad_norm": 1.4072426557540894,
|
35 |
-
"learning_rate": 0.0002,
|
36 |
-
"loss": 1.8391,
|
37 |
-
"step": 80
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 4.49,
|
41 |
-
"grad_norm": 1.1522574424743652,
|
42 |
-
"learning_rate": 0.0002,
|
43 |
-
"loss": 1.7152,
|
44 |
-
"step": 100
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 5.39,
|
48 |
-
"grad_norm": 0.9669118523597717,
|
49 |
-
"learning_rate": 0.0002,
|
50 |
-
"loss": 1.5656,
|
51 |
-
"step": 120
|
52 |
-
},
|
53 |
-
{
|
54 |
-
"epoch": 6.29,
|
55 |
-
"grad_norm": 1.1254830360412598,
|
56 |
-
"learning_rate": 0.0002,
|
57 |
-
"loss": 1.4272,
|
58 |
-
"step": 140
|
59 |
-
},
|
60 |
-
{
|
61 |
-
"epoch": 7.19,
|
62 |
-
"grad_norm": 1.4298350811004639,
|
63 |
-
"learning_rate": 0.0002,
|
64 |
-
"loss": 1.2586,
|
65 |
-
"step": 160
|
66 |
-
},
|
67 |
-
{
|
68 |
-
"epoch": 8.09,
|
69 |
-
"grad_norm": 1.3048124313354492,
|
70 |
-
"learning_rate": 0.0002,
|
71 |
-
"loss": 1.1003,
|
72 |
-
"step": 180
|
73 |
-
},
|
74 |
-
{
|
75 |
-
"epoch": 8.99,
|
76 |
-
"grad_norm": 1.5784626007080078,
|
77 |
-
"learning_rate": 0.0002,
|
78 |
-
"loss": 0.941,
|
79 |
-
"step": 200
|
80 |
-
},
|
81 |
-
{
|
82 |
-
"epoch": 9.89,
|
83 |
-
"grad_norm": 1.6184762716293335,
|
84 |
-
"learning_rate": 0.0002,
|
85 |
-
"loss": 0.7854,
|
86 |
-
"step": 220
|
87 |
-
},
|
88 |
-
{
|
89 |
-
"epoch": 10.79,
|
90 |
-
"grad_norm": 2.039607048034668,
|
91 |
-
"learning_rate": 0.0002,
|
92 |
-
"loss": 0.6663,
|
93 |
-
"step": 240
|
94 |
-
},
|
95 |
-
{
|
96 |
-
"epoch": 11.69,
|
97 |
-
"grad_norm": 1.9069631099700928,
|
98 |
-
"learning_rate": 0.0002,
|
99 |
-
"loss": 0.5598,
|
100 |
-
"step": 260
|
101 |
-
},
|
102 |
-
{
|
103 |
-
"epoch": 12.58,
|
104 |
-
"grad_norm": 3.269792079925537,
|
105 |
-
"learning_rate": 0.0002,
|
106 |
-
"loss": 0.4746,
|
107 |
-
"step": 280
|
108 |
-
},
|
109 |
-
{
|
110 |
-
"epoch": 13.48,
|
111 |
-
"grad_norm": 1.695237159729004,
|
112 |
-
"learning_rate": 0.0002,
|
113 |
-
"loss": 0.3884,
|
114 |
-
"step": 300
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 14.38,
|
118 |
-
"grad_norm": 1.7961617708206177,
|
119 |
-
"learning_rate": 0.0002,
|
120 |
-
"loss": 0.3197,
|
121 |
-
"step": 320
|
122 |
-
},
|
123 |
-
{
|
124 |
-
"epoch": 15.28,
|
125 |
-
"grad_norm": 1.6906554698944092,
|
126 |
-
"learning_rate": 0.0002,
|
127 |
-
"loss": 0.2876,
|
128 |
-
"step": 340
|
129 |
-
},
|
130 |
-
{
|
131 |
-
"epoch": 16.18,
|
132 |
-
"grad_norm": 1.5338362455368042,
|
133 |
-
"learning_rate": 0.0002,
|
134 |
-
"loss": 0.2476,
|
135 |
-
"step": 360
|
136 |
-
},
|
137 |
-
{
|
138 |
-
"epoch": 17.08,
|
139 |
-
"grad_norm": 1.482823371887207,
|
140 |
-
"learning_rate": 0.0002,
|
141 |
-
"loss": 0.2152,
|
142 |
-
"step": 380
|
143 |
-
},
|
144 |
-
{
|
145 |
-
"epoch": 17.98,
|
146 |
-
"grad_norm": 1.6050206422805786,
|
147 |
-
"learning_rate": 0.0002,
|
148 |
-
"loss": 0.1864,
|
149 |
-
"step": 400
|
150 |
-
},
|
151 |
-
{
|
152 |
-
"epoch": 18.88,
|
153 |
-
"grad_norm": 1.7870419025421143,
|
154 |
-
"learning_rate": 0.0002,
|
155 |
-
"loss": 0.1527,
|
156 |
-
"step": 420
|
157 |
-
},
|
158 |
-
{
|
159 |
-
"epoch": 19.78,
|
160 |
-
"grad_norm": 1.6181118488311768,
|
161 |
-
"learning_rate": 0.0002,
|
162 |
-
"loss": 0.1387,
|
163 |
-
"step": 440
|
164 |
-
},
|
165 |
-
{
|
166 |
-
"epoch": 20.67,
|
167 |
-
"grad_norm": 1.545577049255371,
|
168 |
-
"learning_rate": 0.0002,
|
169 |
-
"loss": 0.1291,
|
170 |
-
"step": 460
|
171 |
-
},
|
172 |
-
{
|
173 |
-
"epoch": 21.57,
|
174 |
-
"grad_norm": 1.4766790866851807,
|
175 |
-
"learning_rate": 0.0002,
|
176 |
-
"loss": 0.1216,
|
177 |
-
"step": 480
|
178 |
-
},
|
179 |
-
{
|
180 |
-
"epoch": 22.47,
|
181 |
-
"grad_norm": 1.2652430534362793,
|
182 |
-
"learning_rate": 0.0002,
|
183 |
-
"loss": 0.1125,
|
184 |
-
"step": 500
|
185 |
-
},
|
186 |
-
{
|
187 |
-
"epoch": 23.37,
|
188 |
-
"grad_norm": 1.3792601823806763,
|
189 |
-
"learning_rate": 0.0002,
|
190 |
-
"loss": 0.1064,
|
191 |
-
"step": 520
|
192 |
-
},
|
193 |
-
{
|
194 |
-
"epoch": 24.27,
|
195 |
-
"grad_norm": 1.1617250442504883,
|
196 |
-
"learning_rate": 0.0002,
|
197 |
-
"loss": 0.0965,
|
198 |
-
"step": 540
|
199 |
-
},
|
200 |
-
{
|
201 |
-
"epoch": 25.17,
|
202 |
-
"grad_norm": 1.0318264961242676,
|
203 |
-
"learning_rate": 0.0002,
|
204 |
-
"loss": 0.0892,
|
205 |
-
"step": 560
|
206 |
-
},
|
207 |
-
{
|
208 |
-
"epoch": 26.07,
|
209 |
-
"grad_norm": 1.0102779865264893,
|
210 |
-
"learning_rate": 0.0002,
|
211 |
-
"loss": 0.0866,
|
212 |
-
"step": 580
|
213 |
-
},
|
214 |
-
{
|
215 |
-
"epoch": 26.97,
|
216 |
-
"grad_norm": 1.2883203029632568,
|
217 |
-
"learning_rate": 0.0002,
|
218 |
-
"loss": 0.0805,
|
219 |
-
"step": 600
|
220 |
-
},
|
221 |
-
{
|
222 |
-
"epoch": 27.87,
|
223 |
-
"grad_norm": 1.1580032110214233,
|
224 |
-
"learning_rate": 0.0002,
|
225 |
-
"loss": 0.0748,
|
226 |
-
"step": 620
|
227 |
-
},
|
228 |
-
{
|
229 |
-
"epoch": 28.76,
|
230 |
-
"grad_norm": 1.114597201347351,
|
231 |
-
"learning_rate": 0.0002,
|
232 |
-
"loss": 0.0745,
|
233 |
-
"step": 640
|
234 |
-
},
|
235 |
-
{
|
236 |
-
"epoch": 29.66,
|
237 |
-
"grad_norm": 1.0546940565109253,
|
238 |
-
"learning_rate": 0.0002,
|
239 |
-
"loss": 0.0721,
|
240 |
-
"step": 660
|
241 |
-
},
|
242 |
-
{
|
243 |
-
"epoch": 30.56,
|
244 |
-
"grad_norm": 1.0050326585769653,
|
245 |
-
"learning_rate": 0.0002,
|
246 |
-
"loss": 0.0697,
|
247 |
-
"step": 680
|
248 |
-
},
|
249 |
-
{
|
250 |
-
"epoch": 31.46,
|
251 |
-
"grad_norm": 1.0160025358200073,
|
252 |
-
"learning_rate": 0.0002,
|
253 |
-
"loss": 0.0658,
|
254 |
-
"step": 700
|
255 |
-
},
|
256 |
-
{
|
257 |
-
"epoch": 32.36,
|
258 |
-
"grad_norm": 0.9212460517883301,
|
259 |
-
"learning_rate": 0.0002,
|
260 |
-
"loss": 0.0643,
|
261 |
-
"step": 720
|
262 |
-
},
|
263 |
-
{
|
264 |
-
"epoch": 33.26,
|
265 |
-
"grad_norm": 0.8616517186164856,
|
266 |
-
"learning_rate": 0.0002,
|
267 |
-
"loss": 0.0621,
|
268 |
-
"step": 740
|
269 |
-
},
|
270 |
-
{
|
271 |
-
"epoch": 34.16,
|
272 |
-
"grad_norm": 0.8040679693222046,
|
273 |
-
"learning_rate": 0.0002,
|
274 |
-
"loss": 0.061,
|
275 |
-
"step": 760
|
276 |
-
},
|
277 |
-
{
|
278 |
-
"epoch": 35.06,
|
279 |
-
"grad_norm": 0.7591003179550171,
|
280 |
-
"learning_rate": 0.0002,
|
281 |
-
"loss": 0.0589,
|
282 |
-
"step": 780
|
283 |
-
},
|
284 |
-
{
|
285 |
-
"epoch": 35.96,
|
286 |
-
"grad_norm": 1.0100669860839844,
|
287 |
-
"learning_rate": 0.0002,
|
288 |
-
"loss": 0.055,
|
289 |
-
"step": 800
|
290 |
-
},
|
291 |
-
{
|
292 |
-
"epoch": 36.85,
|
293 |
-
"grad_norm": 0.9912341237068176,
|
294 |
-
"learning_rate": 0.0002,
|
295 |
-
"loss": 0.0513,
|
296 |
-
"step": 820
|
297 |
-
},
|
298 |
-
{
|
299 |
-
"epoch": 37.75,
|
300 |
-
"grad_norm": 0.9290223121643066,
|
301 |
-
"learning_rate": 0.0002,
|
302 |
-
"loss": 0.0515,
|
303 |
-
"step": 840
|
304 |
-
},
|
305 |
-
{
|
306 |
-
"epoch": 38.65,
|
307 |
-
"grad_norm": 0.8802034854888916,
|
308 |
-
"learning_rate": 0.0002,
|
309 |
-
"loss": 0.0511,
|
310 |
-
"step": 860
|
311 |
-
},
|
312 |
-
{
|
313 |
-
"epoch": 39.55,
|
314 |
-
"grad_norm": 0.8020614981651306,
|
315 |
-
"learning_rate": 0.0002,
|
316 |
-
"loss": 0.0506,
|
317 |
-
"step": 880
|
318 |
-
},
|
319 |
-
{
|
320 |
-
"epoch": 40.45,
|
321 |
-
"grad_norm": 0.8280277848243713,
|
322 |
-
"learning_rate": 0.0002,
|
323 |
-
"loss": 0.0502,
|
324 |
-
"step": 900
|
325 |
-
},
|
326 |
-
{
|
327 |
-
"epoch": 41.35,
|
328 |
-
"grad_norm": 0.7979443669319153,
|
329 |
-
"learning_rate": 0.0002,
|
330 |
-
"loss": 0.0496,
|
331 |
-
"step": 920
|
332 |
-
},
|
333 |
-
{
|
334 |
-
"epoch": 42.25,
|
335 |
-
"grad_norm": 0.7503458857536316,
|
336 |
-
"learning_rate": 0.0002,
|
337 |
-
"loss": 0.0487,
|
338 |
-
"step": 940
|
339 |
-
},
|
340 |
-
{
|
341 |
-
"epoch": 43.15,
|
342 |
-
"grad_norm": 0.7012200355529785,
|
343 |
-
"learning_rate": 0.0002,
|
344 |
-
"loss": 0.0469,
|
345 |
-
"step": 960
|
346 |
-
}
|
347 |
-
],
|
348 |
-
"logging_steps": 20,
|
349 |
-
"max_steps": 1000,
|
350 |
-
"num_input_tokens_seen": 0,
|
351 |
-
"num_train_epochs": 46,
|
352 |
-
"save_steps": 20,
|
353 |
-
"total_flos": 2.927218722298921e+18,
|
354 |
-
"train_batch_size": 8,
|
355 |
-
"trial_name": null,
|
356 |
-
"trial_params": null
|
357 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|