CodeIsAbstract commited on
Commit
4ca006e
·
verified ·
1 Parent(s): c85bccb

Training in progress, step 4000, checkpoint

Browse files
last-checkpoint/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4570a7676418e7c1dbde619776b27e38071294b6d1f599604c28b8750b0802b3
3
  size 469337272
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:779a82879b0841465ca1b858d82cac1e88868b011b357cbb5ae641bc4467a2fd
3
  size 469337272
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bd703a45f50dc2abb2a4f115433253cdb847e4eda86120375a82fd5c964707f3
3
  size 938825803
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fd40a78565e4f7ddfb41d95ac5573fea5bc25afd2bad35a7bf584b0f9012d4d
3
  size 938825803
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:891bb229e9f5406f30ec3d01b02fe5fa385184e516d5ba6cefbcc26ed8f82302
3
  size 14645
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e8e748d681e6f71f9b57ae68d6afe316f465cbd0f520ceb97f2e75d98b46b73
3
  size 14645
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1df8bb9e7a99af13686c1e59df1dfb5127b155b3d22f582bbd03a82455d5ded8
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b3af4aaa142e4a55ebe50a8d2db120dc2b7b23b5e6bb84de2f69f7d1627803e
3
  size 1465
last-checkpoint/trainer_state.json CHANGED
@@ -2,79 +2,331 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 0.003125,
6
- "eval_steps": 100,
7
- "global_step": 400,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
- "epoch": 0.00078125,
14
- "grad_norm": 0.548005223274231,
15
  "learning_rate": 0.00066,
16
- "loss": 7.392943725585938,
17
  "step": 100
18
  },
19
  {
20
- "epoch": 0.00078125,
21
- "eval_loss": 6.319089889526367,
22
- "eval_runtime": 7.0241,
23
- "eval_samples_per_second": 82.003,
24
- "eval_steps_per_second": 20.501,
25
- "step": 100
26
  },
27
  {
28
- "epoch": 0.0015625,
29
- "grad_norm": 0.6282612085342407,
30
- "learning_rate": 0.0009999996375647776,
31
- "loss": 5.802936401367187,
32
- "step": 200
33
  },
34
  {
35
- "epoch": 0.0015625,
36
- "eval_loss": 5.66627836227417,
37
- "eval_runtime": 6.87,
38
- "eval_samples_per_second": 83.843,
39
- "eval_steps_per_second": 20.961,
40
- "step": 200
41
  },
42
  {
43
- "epoch": 0.00234375,
44
- "grad_norm": 0.39866289496421814,
45
- "learning_rate": 0.0009999966487228837,
46
- "loss": 5.2531396484375,
47
- "step": 300
48
  },
49
  {
50
- "epoch": 0.00234375,
51
- "eval_loss": 5.31585693359375,
52
- "eval_runtime": 6.8076,
53
- "eval_samples_per_second": 84.612,
54
- "eval_steps_per_second": 21.153,
55
- "step": 300
56
  },
57
  {
58
- "epoch": 0.003125,
59
- "grad_norm": 0.4630204141139984,
60
- "learning_rate": 0.0009999906408667911,
61
- "loss": 4.958253784179687,
62
- "step": 400
63
  },
64
  {
65
- "epoch": 0.003125,
66
- "eval_loss": 5.078152179718018,
67
- "eval_runtime": 6.8409,
68
- "eval_samples_per_second": 84.2,
69
- "eval_steps_per_second": 21.05,
70
- "step": 400
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
71
  }
72
  ],
73
  "logging_steps": 100,
74
- "max_steps": 128000,
75
  "num_input_tokens_seen": 0,
76
  "num_train_epochs": 9223372036854775807,
77
- "save_steps": 400,
78
  "stateful_callbacks": {
79
  "TrainerControl": {
80
  "args": {
@@ -87,7 +339,7 @@
87
  "attributes": {}
88
  }
89
  },
90
- "total_flos": 9965832398438400.0,
91
  "train_batch_size": 22,
92
  "trial_name": null,
93
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.03636363636363636,
6
+ "eval_steps": 1000,
7
+ "global_step": 4000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
+ "epoch": 0.0009090909090909091,
14
+ "grad_norm": 0.5637483596801758,
15
  "learning_rate": 0.00066,
16
+ "loss": 7.38281005859375,
17
  "step": 100
18
  },
19
  {
20
+ "epoch": 0.0018181818181818182,
21
+ "grad_norm": 0.6073591709136963,
22
+ "learning_rate": 0.000999999509056267,
23
+ "loss": 5.783165283203125,
24
+ "step": 200
 
25
  },
26
  {
27
+ "epoch": 0.0027272727272727275,
28
+ "grad_norm": 0.480266273021698,
29
+ "learning_rate": 0.0009999954604635122,
30
+ "loss": 5.232196044921875,
31
+ "step": 300
32
  },
33
  {
34
+ "epoch": 0.0036363636363636364,
35
+ "grad_norm": 0.45949065685272217,
36
+ "learning_rate": 0.0009999873224161853,
37
+ "loss": 4.946490478515625,
38
+ "step": 400
 
39
  },
40
  {
41
+ "epoch": 0.004545454545454545,
42
+ "grad_norm": 0.41542109847068787,
43
+ "learning_rate": 0.000999975094980847,
44
+ "loss": 4.719376831054688,
45
+ "step": 500
46
  },
47
  {
48
+ "epoch": 0.005454545454545455,
49
+ "grad_norm": 0.40697741508483887,
50
+ "learning_rate": 0.0009999587782575051,
51
+ "loss": 4.591694030761719,
52
+ "step": 600
 
53
  },
54
  {
55
+ "epoch": 0.006363636363636364,
56
+ "grad_norm": 0.3962944447994232,
57
+ "learning_rate": 0.0009999383723796143,
58
+ "loss": 4.466532592773437,
59
+ "step": 700
60
  },
61
  {
62
+ "epoch": 0.007272727272727273,
63
+ "grad_norm": 0.6857792139053345,
64
+ "learning_rate": 0.0009999138775140734,
65
+ "loss": 4.349520874023438,
66
+ "step": 800
67
+ },
68
+ {
69
+ "epoch": 0.008181818181818182,
70
+ "grad_norm": 0.4181463420391083,
71
+ "learning_rate": 0.000999885293861226,
72
+ "loss": 4.234326782226563,
73
+ "step": 900
74
+ },
75
+ {
76
+ "epoch": 0.00909090909090909,
77
+ "grad_norm": 0.3620698153972626,
78
+ "learning_rate": 0.0009998526216548572,
79
+ "loss": 4.120015869140625,
80
+ "step": 1000
81
+ },
82
+ {
83
+ "epoch": 0.00909090909090909,
84
+ "eval_loss": 4.375123977661133,
85
+ "eval_runtime": 6.9666,
86
+ "eval_samples_per_second": 82.681,
87
+ "eval_steps_per_second": 20.67,
88
+ "step": 1000
89
+ },
90
+ {
91
+ "epoch": 0.01,
92
+ "grad_norm": 0.3509594798088074,
93
+ "learning_rate": 0.0009998158611621922,
94
+ "loss": 3.993647155761719,
95
+ "step": 1100
96
+ },
97
+ {
98
+ "epoch": 0.01090909090909091,
99
+ "grad_norm": 0.3581515848636627,
100
+ "learning_rate": 0.0009997750126838946,
101
+ "loss": 3.9498220825195314,
102
+ "step": 1200
103
+ },
104
+ {
105
+ "epoch": 0.011818181818181818,
106
+ "grad_norm": 0.36733096837997437,
107
+ "learning_rate": 0.0009997300765540635,
108
+ "loss": 3.831287841796875,
109
+ "step": 1300
110
+ },
111
+ {
112
+ "epoch": 0.012727272727272728,
113
+ "grad_norm": 0.29147249460220337,
114
+ "learning_rate": 0.0009996810531402306,
115
+ "loss": 3.7590908813476562,
116
+ "step": 1400
117
+ },
118
+ {
119
+ "epoch": 0.013636363636363636,
120
+ "grad_norm": 0.29391637444496155,
121
+ "learning_rate": 0.0009996279428433578,
122
+ "loss": 3.722886047363281,
123
+ "step": 1500
124
+ },
125
+ {
126
+ "epoch": 0.014545454545454545,
127
+ "grad_norm": 0.3317511975765228,
128
+ "learning_rate": 0.000999570746097833,
129
+ "loss": 3.7012667846679688,
130
+ "step": 1600
131
+ },
132
+ {
133
+ "epoch": 0.015454545454545455,
134
+ "grad_norm": 0.32525742053985596,
135
+ "learning_rate": 0.0009995094633714677,
136
+ "loss": 3.6526870727539062,
137
+ "step": 1700
138
+ },
139
+ {
140
+ "epoch": 0.016363636363636365,
141
+ "grad_norm": 0.3586934208869934,
142
+ "learning_rate": 0.0009994440951654924,
143
+ "loss": 3.6262481689453123,
144
+ "step": 1800
145
+ },
146
+ {
147
+ "epoch": 0.017272727272727273,
148
+ "grad_norm": 0.30995482206344604,
149
+ "learning_rate": 0.0009993746420145523,
150
+ "loss": 3.594487609863281,
151
+ "step": 1900
152
+ },
153
+ {
154
+ "epoch": 0.01818181818181818,
155
+ "grad_norm": 0.3067973852157593,
156
+ "learning_rate": 0.0009993011044867038,
157
+ "loss": 3.5707028198242186,
158
+ "step": 2000
159
+ },
160
+ {
161
+ "epoch": 0.01818181818181818,
162
+ "eval_loss": 3.896928548812866,
163
+ "eval_runtime": 6.7872,
164
+ "eval_samples_per_second": 84.865,
165
+ "eval_steps_per_second": 21.216,
166
+ "step": 2000
167
+ },
168
+ {
169
+ "epoch": 0.019090909090909092,
170
+ "grad_norm": 0.2716964781284332,
171
+ "learning_rate": 0.000999223483183409,
172
+ "loss": 3.5685223388671874,
173
+ "step": 2100
174
+ },
175
+ {
176
+ "epoch": 0.02,
177
+ "grad_norm": 0.2595560550689697,
178
+ "learning_rate": 0.000999141778739531,
179
+ "loss": 3.533115234375,
180
+ "step": 2200
181
+ },
182
+ {
183
+ "epoch": 0.02090909090909091,
184
+ "grad_norm": 0.2871851325035095,
185
+ "learning_rate": 0.0009990559918233294,
186
+ "loss": 3.51209716796875,
187
+ "step": 2300
188
+ },
189
+ {
190
+ "epoch": 0.02181818181818182,
191
+ "grad_norm": 0.2916632890701294,
192
+ "learning_rate": 0.0009989661231364542,
193
+ "loss": 3.4977175903320314,
194
+ "step": 2400
195
+ },
196
+ {
197
+ "epoch": 0.022727272727272728,
198
+ "grad_norm": 0.2674938440322876,
199
+ "learning_rate": 0.0009988721734139395,
200
+ "loss": 3.4819268798828125,
201
+ "step": 2500
202
+ },
203
+ {
204
+ "epoch": 0.023636363636363636,
205
+ "grad_norm": 0.28354012966156006,
206
+ "learning_rate": 0.0009987741434241983,
207
+ "loss": 3.4985772705078126,
208
+ "step": 2600
209
+ },
210
+ {
211
+ "epoch": 0.024545454545454544,
212
+ "grad_norm": 0.250453919172287,
213
+ "learning_rate": 0.000998672033969017,
214
+ "loss": 3.4824765014648436,
215
+ "step": 2700
216
+ },
217
+ {
218
+ "epoch": 0.025454545454545455,
219
+ "grad_norm": 0.25479111075401306,
220
+ "learning_rate": 0.0009985658458835465,
221
+ "loss": 3.43513916015625,
222
+ "step": 2800
223
+ },
224
+ {
225
+ "epoch": 0.026363636363636363,
226
+ "grad_norm": 0.5312749743461609,
227
+ "learning_rate": 0.0009984555800362977,
228
+ "loss": 3.4338519287109377,
229
+ "step": 2900
230
+ },
231
+ {
232
+ "epoch": 0.02727272727272727,
233
+ "grad_norm": 0.24919964373111725,
234
+ "learning_rate": 0.0009983412373291332,
235
+ "loss": 3.394432373046875,
236
+ "step": 3000
237
+ },
238
+ {
239
+ "epoch": 0.02727272727272727,
240
+ "eval_loss": 3.7320191860198975,
241
+ "eval_runtime": 6.8112,
242
+ "eval_samples_per_second": 84.566,
243
+ "eval_steps_per_second": 21.142,
244
+ "step": 3000
245
+ },
246
+ {
247
+ "epoch": 0.028181818181818183,
248
+ "grad_norm": 0.2345028668642044,
249
+ "learning_rate": 0.0009982228186972597,
250
+ "loss": 3.3772811889648438,
251
+ "step": 3100
252
+ },
253
+ {
254
+ "epoch": 0.02909090909090909,
255
+ "grad_norm": 0.2587430775165558,
256
+ "learning_rate": 0.0009981003251092215,
257
+ "loss": 3.368675537109375,
258
+ "step": 3200
259
+ },
260
+ {
261
+ "epoch": 0.03,
262
+ "grad_norm": 0.25332900881767273,
263
+ "learning_rate": 0.0009979737575668917,
264
+ "loss": 3.3781060791015625,
265
+ "step": 3300
266
+ },
267
+ {
268
+ "epoch": 0.03090909090909091,
269
+ "grad_norm": 0.2273174375295639,
270
+ "learning_rate": 0.000997843117105464,
271
+ "loss": 3.328343505859375,
272
+ "step": 3400
273
+ },
274
+ {
275
+ "epoch": 0.031818181818181815,
276
+ "grad_norm": 0.2621140778064728,
277
+ "learning_rate": 0.0009977084047934448,
278
+ "loss": 3.3511767578125,
279
+ "step": 3500
280
+ },
281
+ {
282
+ "epoch": 0.03272727272727273,
283
+ "grad_norm": 0.22301150858402252,
284
+ "learning_rate": 0.0009975696217326435,
285
+ "loss": 3.3483154296875,
286
+ "step": 3600
287
+ },
288
+ {
289
+ "epoch": 0.03363636363636364,
290
+ "grad_norm": 0.22785483300685883,
291
+ "learning_rate": 0.0009974267690581644,
292
+ "loss": 3.351199951171875,
293
+ "step": 3700
294
+ },
295
+ {
296
+ "epoch": 0.034545454545454546,
297
+ "grad_norm": 0.24507705867290497,
298
+ "learning_rate": 0.0009972798479383977,
299
+ "loss": 3.311331787109375,
300
+ "step": 3800
301
+ },
302
+ {
303
+ "epoch": 0.035454545454545454,
304
+ "grad_norm": 0.22445634007453918,
305
+ "learning_rate": 0.0009971288595750083,
306
+ "loss": 3.2849237060546876,
307
+ "step": 3900
308
+ },
309
+ {
310
+ "epoch": 0.03636363636363636,
311
+ "grad_norm": 0.2134762406349182,
312
+ "learning_rate": 0.0009969738052029277,
313
+ "loss": 3.2534124755859377,
314
+ "step": 4000
315
+ },
316
+ {
317
+ "epoch": 0.03636363636363636,
318
+ "eval_loss": 3.6267645359039307,
319
+ "eval_runtime": 6.8001,
320
+ "eval_samples_per_second": 84.704,
321
+ "eval_steps_per_second": 21.176,
322
+ "step": 4000
323
  }
324
  ],
325
  "logging_steps": 100,
326
+ "max_steps": 110000,
327
  "num_input_tokens_seen": 0,
328
  "num_train_epochs": 9223372036854775807,
329
+ "save_steps": 4000,
330
  "stateful_callbacks": {
331
  "TrainerControl": {
332
  "args": {
 
339
  "attributes": {}
340
  }
341
  },
342
+ "total_flos": 9.9658323984384e+16,
343
  "train_batch_size": 22,
344
  "trial_name": null,
345
  "trial_params": null
last-checkpoint/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a3b71add29216572affacbd140d488514e006cd0cdd1bd77cb7bc84501d9c04c
3
  size 5201
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:567e8406e27dd015c52febc5cd0c60d00147e3fcfbac62fe7f312af41586ea47
3
  size 5201