tyzhu commited on
Commit
1fa8b9f
1 Parent(s): cd789b8

Training in progress, epoch 20, checkpoint

Browse files
checkpoint-3750/README.md ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+ ### Framework versions
7
+
8
+
9
+ - PEFT 0.5.0
checkpoint-3750/adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "Qwen/Qwen1.5-4B",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 16,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "k_proj",
19
+ "v_proj",
20
+ "down_proj",
21
+ "gate_proj",
22
+ "up_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
checkpoint-3750/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:456c2123809195c78762725c20a43e10e9574cf37a17e192d465d87033359f33
3
+ size 112130416
checkpoint-3750/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
checkpoint-3750/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3750/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6b6431538b390b96dcb073ad6d95ec54fcfdd900b4b96ef94db3f007f7e4c13
3
+ size 224537202
checkpoint-3750/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb08628d64f1b1055cf34ce9d64f3438813396663580a4fdf0e0b7fa563dbc72
3
+ size 15024
checkpoint-3750/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97035ffae66df324b5664fb72f7a11a928ae4bbcea9da1e5e1ea6f7abbc4831c
3
+ size 15024
checkpoint-3750/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ee82caacef728b09f46da0bf4ae0c481917e4b69d7188db8d83355880800ae5
3
+ size 15024
checkpoint-3750/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5eab3b2e22621bdcbef4e83451cef1b4640c9ed3a60051e2111a8cd940bef84
3
+ size 15024
checkpoint-3750/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49836dcf95ab2d64e1e042fec1d1ea63cc95a913213d48809d4135530e98dc83
3
+ size 1064
checkpoint-3750/special_tokens_map.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": "<|endoftext|>"
14
+ }
checkpoint-3750/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3750/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
checkpoint-3750/trainer_state.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3750,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5333333333333333,
13
+ "grad_norm": 0.2409825623035431,
14
+ "learning_rate": 0.0001,
15
+ "loss": 1.7886,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.9973333333333333,
20
+ "eval_accuracy": 0.6061076233183856,
21
+ "eval_loss": 1.6901254653930664,
22
+ "eval_runtime": 5.5484,
23
+ "eval_samples_per_second": 90.116,
24
+ "eval_steps_per_second": 11.355,
25
+ "step": 187
26
+ },
27
+ {
28
+ "epoch": 1.0666666666666667,
29
+ "grad_norm": 0.2729445993900299,
30
+ "learning_rate": 0.0001,
31
+ "loss": 1.7283,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 1.6,
36
+ "grad_norm": 0.37678101658821106,
37
+ "learning_rate": 0.0001,
38
+ "loss": 1.6544,
39
+ "step": 300
40
+ },
41
+ {
42
+ "epoch": 2.0,
43
+ "eval_accuracy": 0.607677130044843,
44
+ "eval_loss": 1.6766204833984375,
45
+ "eval_runtime": 6.4294,
46
+ "eval_samples_per_second": 77.768,
47
+ "eval_steps_per_second": 9.799,
48
+ "step": 375
49
+ },
50
+ {
51
+ "epoch": 2.1333333333333333,
52
+ "grad_norm": 0.4604090750217438,
53
+ "learning_rate": 0.0001,
54
+ "loss": 1.6338,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 2.6666666666666665,
59
+ "grad_norm": 0.5606330633163452,
60
+ "learning_rate": 0.0001,
61
+ "loss": 1.5273,
62
+ "step": 500
63
+ },
64
+ {
65
+ "epoch": 2.997333333333333,
66
+ "eval_accuracy": 0.6079910313901346,
67
+ "eval_loss": 1.6929064989089966,
68
+ "eval_runtime": 5.431,
69
+ "eval_samples_per_second": 92.063,
70
+ "eval_steps_per_second": 11.6,
71
+ "step": 562
72
+ },
73
+ {
74
+ "epoch": 3.2,
75
+ "grad_norm": 0.6363856196403503,
76
+ "learning_rate": 0.0001,
77
+ "loss": 1.4796,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 3.7333333333333334,
82
+ "grad_norm": 0.5985731482505798,
83
+ "learning_rate": 0.0001,
84
+ "loss": 1.3871,
85
+ "step": 700
86
+ },
87
+ {
88
+ "epoch": 4.0,
89
+ "eval_accuracy": 0.606896860986547,
90
+ "eval_loss": 1.7257370948791504,
91
+ "eval_runtime": 5.8318,
92
+ "eval_samples_per_second": 85.737,
93
+ "eval_steps_per_second": 10.803,
94
+ "step": 750
95
+ },
96
+ {
97
+ "epoch": 4.266666666666667,
98
+ "grad_norm": 0.7769015431404114,
99
+ "learning_rate": 0.0001,
100
+ "loss": 1.3013,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 4.8,
105
+ "grad_norm": 0.708043098449707,
106
+ "learning_rate": 0.0001,
107
+ "loss": 1.23,
108
+ "step": 900
109
+ },
110
+ {
111
+ "epoch": 4.997333333333334,
112
+ "eval_accuracy": 0.6061076233183856,
113
+ "eval_loss": 1.7812739610671997,
114
+ "eval_runtime": 5.9335,
115
+ "eval_samples_per_second": 84.267,
116
+ "eval_steps_per_second": 10.618,
117
+ "step": 937
118
+ },
119
+ {
120
+ "epoch": 5.333333333333333,
121
+ "grad_norm": 0.8580867648124695,
122
+ "learning_rate": 0.0001,
123
+ "loss": 1.1011,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 5.866666666666667,
128
+ "grad_norm": 0.9232878684997559,
129
+ "learning_rate": 0.0001,
130
+ "loss": 1.0749,
131
+ "step": 1100
132
+ },
133
+ {
134
+ "epoch": 6.0,
135
+ "eval_accuracy": 0.6018026905829597,
136
+ "eval_loss": 1.877648949623108,
137
+ "eval_runtime": 6.474,
138
+ "eval_samples_per_second": 77.231,
139
+ "eval_steps_per_second": 9.731,
140
+ "step": 1125
141
+ },
142
+ {
143
+ "epoch": 6.4,
144
+ "grad_norm": 1.0364516973495483,
145
+ "learning_rate": 0.0001,
146
+ "loss": 0.9164,
147
+ "step": 1200
148
+ },
149
+ {
150
+ "epoch": 6.933333333333334,
151
+ "grad_norm": 1.0082701444625854,
152
+ "learning_rate": 0.0001,
153
+ "loss": 0.8957,
154
+ "step": 1300
155
+ },
156
+ {
157
+ "epoch": 6.997333333333334,
158
+ "eval_accuracy": 0.5997937219730942,
159
+ "eval_loss": 1.978247046470642,
160
+ "eval_runtime": 5.9491,
161
+ "eval_samples_per_second": 84.047,
162
+ "eval_steps_per_second": 10.59,
163
+ "step": 1312
164
+ },
165
+ {
166
+ "epoch": 7.466666666666667,
167
+ "grad_norm": 1.0375924110412598,
168
+ "learning_rate": 0.0001,
169
+ "loss": 0.7382,
170
+ "step": 1400
171
+ },
172
+ {
173
+ "epoch": 8.0,
174
+ "grad_norm": 1.115308403968811,
175
+ "learning_rate": 0.0001,
176
+ "loss": 0.729,
177
+ "step": 1500
178
+ },
179
+ {
180
+ "epoch": 8.0,
181
+ "eval_accuracy": 0.5965919282511211,
182
+ "eval_loss": 2.097362756729126,
183
+ "eval_runtime": 6.5905,
184
+ "eval_samples_per_second": 75.867,
185
+ "eval_steps_per_second": 9.559,
186
+ "step": 1500
187
+ },
188
+ {
189
+ "epoch": 8.533333333333333,
190
+ "grad_norm": 1.3251475095748901,
191
+ "learning_rate": 0.0001,
192
+ "loss": 0.5643,
193
+ "step": 1600
194
+ },
195
+ {
196
+ "epoch": 8.997333333333334,
197
+ "eval_accuracy": 0.5931300448430493,
198
+ "eval_loss": 2.2553179264068604,
199
+ "eval_runtime": 6.1864,
200
+ "eval_samples_per_second": 80.823,
201
+ "eval_steps_per_second": 10.184,
202
+ "step": 1687
203
+ },
204
+ {
205
+ "epoch": 9.066666666666666,
206
+ "grad_norm": 1.0753710269927979,
207
+ "learning_rate": 0.0001,
208
+ "loss": 0.5706,
209
+ "step": 1700
210
+ },
211
+ {
212
+ "epoch": 9.6,
213
+ "grad_norm": 1.5658849477767944,
214
+ "learning_rate": 0.0001,
215
+ "loss": 0.4538,
216
+ "step": 1800
217
+ },
218
+ {
219
+ "epoch": 10.0,
220
+ "eval_accuracy": 0.5900627802690583,
221
+ "eval_loss": 2.408897876739502,
222
+ "eval_runtime": 6.4582,
223
+ "eval_samples_per_second": 77.422,
224
+ "eval_steps_per_second": 9.755,
225
+ "step": 1875
226
+ },
227
+ {
228
+ "epoch": 10.133333333333333,
229
+ "grad_norm": 1.6254231929779053,
230
+ "learning_rate": 0.0001,
231
+ "loss": 0.4286,
232
+ "step": 1900
233
+ },
234
+ {
235
+ "epoch": 10.666666666666666,
236
+ "grad_norm": 1.187232255935669,
237
+ "learning_rate": 0.0001,
238
+ "loss": 0.3563,
239
+ "step": 2000
240
+ },
241
+ {
242
+ "epoch": 10.997333333333334,
243
+ "eval_accuracy": 0.588914798206278,
244
+ "eval_loss": 2.529802083969116,
245
+ "eval_runtime": 5.9806,
246
+ "eval_samples_per_second": 83.604,
247
+ "eval_steps_per_second": 10.534,
248
+ "step": 2062
249
+ },
250
+ {
251
+ "epoch": 11.2,
252
+ "grad_norm": 1.3838512897491455,
253
+ "learning_rate": 0.0001,
254
+ "loss": 0.3256,
255
+ "step": 2100
256
+ },
257
+ {
258
+ "epoch": 11.733333333333333,
259
+ "grad_norm": 1.249315619468689,
260
+ "learning_rate": 0.0001,
261
+ "loss": 0.2787,
262
+ "step": 2200
263
+ },
264
+ {
265
+ "epoch": 12.0,
266
+ "eval_accuracy": 0.5870582959641255,
267
+ "eval_loss": 2.684791088104248,
268
+ "eval_runtime": 5.7871,
269
+ "eval_samples_per_second": 86.399,
270
+ "eval_steps_per_second": 10.886,
271
+ "step": 2250
272
+ },
273
+ {
274
+ "epoch": 12.266666666666667,
275
+ "grad_norm": 1.163707971572876,
276
+ "learning_rate": 0.0001,
277
+ "loss": 0.2558,
278
+ "step": 2300
279
+ },
280
+ {
281
+ "epoch": 12.8,
282
+ "grad_norm": 1.092466950416565,
283
+ "learning_rate": 0.0001,
284
+ "loss": 0.2314,
285
+ "step": 2400
286
+ },
287
+ {
288
+ "epoch": 12.997333333333334,
289
+ "eval_accuracy": 0.5863408071748879,
290
+ "eval_loss": 2.7943203449249268,
291
+ "eval_runtime": 6.5027,
292
+ "eval_samples_per_second": 76.891,
293
+ "eval_steps_per_second": 9.688,
294
+ "step": 2437
295
+ },
296
+ {
297
+ "epoch": 13.333333333333334,
298
+ "grad_norm": 1.1065410375595093,
299
+ "learning_rate": 0.0001,
300
+ "loss": 0.2029,
301
+ "step": 2500
302
+ },
303
+ {
304
+ "epoch": 13.866666666666667,
305
+ "grad_norm": 1.1960605382919312,
306
+ "learning_rate": 0.0001,
307
+ "loss": 0.1923,
308
+ "step": 2600
309
+ },
310
+ {
311
+ "epoch": 14.0,
312
+ "eval_accuracy": 0.5856502242152466,
313
+ "eval_loss": 2.8624069690704346,
314
+ "eval_runtime": 5.5405,
315
+ "eval_samples_per_second": 90.244,
316
+ "eval_steps_per_second": 11.371,
317
+ "step": 2625
318
+ },
319
+ {
320
+ "epoch": 14.4,
321
+ "grad_norm": 1.014957070350647,
322
+ "learning_rate": 0.0001,
323
+ "loss": 0.1661,
324
+ "step": 2700
325
+ },
326
+ {
327
+ "epoch": 14.933333333333334,
328
+ "grad_norm": 1.2782268524169922,
329
+ "learning_rate": 0.0001,
330
+ "loss": 0.1687,
331
+ "step": 2800
332
+ },
333
+ {
334
+ "epoch": 14.997333333333334,
335
+ "eval_accuracy": 0.5847533632286995,
336
+ "eval_loss": 2.978261947631836,
337
+ "eval_runtime": 6.5241,
338
+ "eval_samples_per_second": 76.639,
339
+ "eval_steps_per_second": 9.656,
340
+ "step": 2812
341
+ },
342
+ {
343
+ "epoch": 15.466666666666667,
344
+ "grad_norm": 1.0024491548538208,
345
+ "learning_rate": 0.0001,
346
+ "loss": 0.1464,
347
+ "step": 2900
348
+ },
349
+ {
350
+ "epoch": 16.0,
351
+ "grad_norm": 0.9853018522262573,
352
+ "learning_rate": 0.0001,
353
+ "loss": 0.1514,
354
+ "step": 3000
355
+ },
356
+ {
357
+ "epoch": 16.0,
358
+ "eval_accuracy": 0.5849865470852018,
359
+ "eval_loss": 3.0238428115844727,
360
+ "eval_runtime": 5.8457,
361
+ "eval_samples_per_second": 85.533,
362
+ "eval_steps_per_second": 10.777,
363
+ "step": 3000
364
+ },
365
+ {
366
+ "epoch": 16.533333333333335,
367
+ "grad_norm": 1.2373902797698975,
368
+ "learning_rate": 0.0001,
369
+ "loss": 0.1282,
370
+ "step": 3100
371
+ },
372
+ {
373
+ "epoch": 16.997333333333334,
374
+ "eval_accuracy": 0.5841614349775784,
375
+ "eval_loss": 3.091371774673462,
376
+ "eval_runtime": 5.5018,
377
+ "eval_samples_per_second": 90.879,
378
+ "eval_steps_per_second": 11.451,
379
+ "step": 3187
380
+ },
381
+ {
382
+ "epoch": 17.066666666666666,
383
+ "grad_norm": 0.9496106505393982,
384
+ "learning_rate": 0.0001,
385
+ "loss": 0.1358,
386
+ "step": 3200
387
+ },
388
+ {
389
+ "epoch": 17.6,
390
+ "grad_norm": 1.0109747648239136,
391
+ "learning_rate": 0.0001,
392
+ "loss": 0.121,
393
+ "step": 3300
394
+ },
395
+ {
396
+ "epoch": 18.0,
397
+ "eval_accuracy": 0.5847982062780269,
398
+ "eval_loss": 3.143228530883789,
399
+ "eval_runtime": 5.4395,
400
+ "eval_samples_per_second": 91.919,
401
+ "eval_steps_per_second": 11.582,
402
+ "step": 3375
403
+ },
404
+ {
405
+ "epoch": 18.133333333333333,
406
+ "grad_norm": 0.9266707301139832,
407
+ "learning_rate": 0.0001,
408
+ "loss": 0.1262,
409
+ "step": 3400
410
+ },
411
+ {
412
+ "epoch": 18.666666666666668,
413
+ "grad_norm": 1.026375651359558,
414
+ "learning_rate": 0.0001,
415
+ "loss": 0.1164,
416
+ "step": 3500
417
+ },
418
+ {
419
+ "epoch": 18.997333333333334,
420
+ "eval_accuracy": 0.5847533632286995,
421
+ "eval_loss": 3.231442451477051,
422
+ "eval_runtime": 6.4528,
423
+ "eval_samples_per_second": 77.486,
424
+ "eval_steps_per_second": 9.763,
425
+ "step": 3562
426
+ },
427
+ {
428
+ "epoch": 19.2,
429
+ "grad_norm": 0.9512910842895508,
430
+ "learning_rate": 0.0001,
431
+ "loss": 0.1153,
432
+ "step": 3600
433
+ },
434
+ {
435
+ "epoch": 19.733333333333334,
436
+ "grad_norm": 1.1021068096160889,
437
+ "learning_rate": 0.0001,
438
+ "loss": 0.1103,
439
+ "step": 3700
440
+ },
441
+ {
442
+ "epoch": 20.0,
443
+ "eval_accuracy": 0.5843946188340807,
444
+ "eval_loss": 3.278094530105591,
445
+ "eval_runtime": 6.151,
446
+ "eval_samples_per_second": 81.288,
447
+ "eval_steps_per_second": 10.242,
448
+ "step": 3750
449
+ }
450
+ ],
451
+ "logging_steps": 100,
452
+ "max_steps": 9350,
453
+ "num_input_tokens_seen": 0,
454
+ "num_train_epochs": 50,
455
+ "save_steps": 500,
456
+ "stateful_callbacks": {
457
+ "TrainerControl": {
458
+ "args": {
459
+ "should_epoch_stop": false,
460
+ "should_evaluate": false,
461
+ "should_log": false,
462
+ "should_save": true,
463
+ "should_training_stop": false
464
+ },
465
+ "attributes": {}
466
+ }
467
+ },
468
+ "total_flos": 3.777309101470515e+17,
469
+ "train_batch_size": 1,
470
+ "trial_name": null,
471
+ "trial_params": null
472
+ }
checkpoint-3750/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a48e2910c0614efc83f1cdab0e18284ec3fdf02b7a0946bdd13c56e7e15f701
3
+ size 5304
checkpoint-3750/vocab.json ADDED
The diff for this file is too large to render. See raw diff