adamjweintraut commited on
Commit
d71b63d
1 Parent(s): e18d202

Training in progress, step 24500, checkpoint

Browse files
last-checkpoint/config.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/bart-large",
3
+ "activation_dropout": 0.1,
4
+ "activation_function": "gelu",
5
+ "add_bias_logits": false,
6
+ "add_final_layer_norm": false,
7
+ "architectures": [
8
+ "BartForConditionalGeneration"
9
+ ],
10
+ "attention_dropout": 0.1,
11
+ "bos_token_id": 0,
12
+ "classif_dropout": 0.1,
13
+ "classifier_dropout": 0.0,
14
+ "d_model": 1024,
15
+ "decoder_attention_heads": 16,
16
+ "decoder_ffn_dim": 4096,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 12,
19
+ "decoder_start_token_id": 2,
20
+ "dropout": 0.1,
21
+ "early_stopping": true,
22
+ "encoder_attention_heads": 16,
23
+ "encoder_ffn_dim": 4096,
24
+ "encoder_layerdrop": 0.0,
25
+ "encoder_layers": 12,
26
+ "eos_token_id": 2,
27
+ "forced_bos_token_id": 0,
28
+ "forced_eos_token_id": 2,
29
+ "gradient_checkpointing": false,
30
+ "id2label": {
31
+ "0": "LABEL_0",
32
+ "1": "LABEL_1",
33
+ "2": "LABEL_2"
34
+ },
35
+ "init_std": 0.02,
36
+ "is_encoder_decoder": true,
37
+ "label2id": {
38
+ "LABEL_0": 0,
39
+ "LABEL_1": 1,
40
+ "LABEL_2": 2
41
+ },
42
+ "max_position_embeddings": 1024,
43
+ "model_type": "bart",
44
+ "no_repeat_ngram_size": 3,
45
+ "normalize_before": false,
46
+ "num_beams": 4,
47
+ "num_hidden_layers": 12,
48
+ "pad_token_id": 1,
49
+ "scale_embedding": false,
50
+ "task_specific_params": {
51
+ "summarization": {
52
+ "length_penalty": 1.0,
53
+ "max_length": 128,
54
+ "min_length": 12,
55
+ "num_beams": 4
56
+ },
57
+ "summarization_cnn": {
58
+ "length_penalty": 2.0,
59
+ "max_length": 142,
60
+ "min_length": 56,
61
+ "num_beams": 4
62
+ },
63
+ "summarization_xsum": {
64
+ "length_penalty": 1.0,
65
+ "max_length": 62,
66
+ "min_length": 11,
67
+ "num_beams": 6
68
+ }
69
+ },
70
+ "torch_dtype": "float32",
71
+ "transformers_version": "4.39.0.dev0",
72
+ "use_cache": true,
73
+ "vocab_size": 50265
74
+ }
last-checkpoint/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "decoder_start_token_id": 2,
5
+ "early_stopping": true,
6
+ "eos_token_id": 2,
7
+ "forced_bos_token_id": 0,
8
+ "forced_eos_token_id": 2,
9
+ "no_repeat_ngram_size": 3,
10
+ "num_beams": 4,
11
+ "pad_token_id": 1,
12
+ "transformers_version": "4.39.0.dev0"
13
+ }
last-checkpoint/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:834c2455993182ac2454a775464049bea2f2b5240beb06e2feba3fb8c301fa17
3
+ size 1625426996
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a87cf4e69c66dbc19de741b9239037530ea89aa7d73f7a96d34e45b16e69901
3
+ size 3250759951
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35d0e46e6068287fc01ac45a8b5e3fcdd19c9f45859f7367817e2d3fed4c37b2
3
+ size 14308
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20c09fe7581dfef8b1ef7b06f78a12ceb23770bd6828d148ea68eb51a6d9d6ff
3
+ size 1064
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,756 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.7116761207580566,
3
+ "best_model_checkpoint": "/content/drive/MyDrive/W210 Capstone - Lyric Generation with Melody/loaf/models/lyrlen/bart/bart-finetuned-lyrlen-512/checkpoint-22500",
4
+ "epoch": 2.0416666666666665,
5
+ "eval_steps": 500,
6
+ "global_step": 24500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04,
13
+ "grad_norm": 2.445735216140747,
14
+ "learning_rate": 4.8958333333333335e-05,
15
+ "loss": 2.221,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "eval_loss": 1.966707706451416,
21
+ "eval_runtime": 523.1555,
22
+ "eval_samples_per_second": 5.734,
23
+ "eval_steps_per_second": 2.867,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.08,
28
+ "grad_norm": 2.755873680114746,
29
+ "learning_rate": 4.791666666666667e-05,
30
+ "loss": 2.0336,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.08,
35
+ "eval_loss": 1.8762251138687134,
36
+ "eval_runtime": 521.8304,
37
+ "eval_samples_per_second": 5.749,
38
+ "eval_steps_per_second": 2.874,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.12,
43
+ "grad_norm": 1.6574139595031738,
44
+ "learning_rate": 4.6875e-05,
45
+ "loss": 1.9563,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.12,
50
+ "eval_loss": 1.8565189838409424,
51
+ "eval_runtime": 523.2148,
52
+ "eval_samples_per_second": 5.734,
53
+ "eval_steps_per_second": 2.867,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.17,
58
+ "grad_norm": 2.1005289554595947,
59
+ "learning_rate": 4.5833333333333334e-05,
60
+ "loss": 1.9555,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.17,
65
+ "eval_loss": 1.8391904830932617,
66
+ "eval_runtime": 523.6661,
67
+ "eval_samples_per_second": 5.729,
68
+ "eval_steps_per_second": 2.864,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.21,
73
+ "grad_norm": 2.272672414779663,
74
+ "learning_rate": 4.4791666666666673e-05,
75
+ "loss": 1.9072,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.21,
80
+ "eval_loss": 1.8213719129562378,
81
+ "eval_runtime": 522.7152,
82
+ "eval_samples_per_second": 5.739,
83
+ "eval_steps_per_second": 2.87,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.25,
88
+ "grad_norm": 2.835890769958496,
89
+ "learning_rate": 4.375e-05,
90
+ "loss": 1.8796,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.25,
95
+ "eval_loss": 1.8246040344238281,
96
+ "eval_runtime": 523.1839,
97
+ "eval_samples_per_second": 5.734,
98
+ "eval_steps_per_second": 2.867,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.29,
103
+ "grad_norm": 3.6644091606140137,
104
+ "learning_rate": 4.270833333333333e-05,
105
+ "loss": 1.8955,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.29,
110
+ "eval_loss": 1.8050193786621094,
111
+ "eval_runtime": 523.9576,
112
+ "eval_samples_per_second": 5.726,
113
+ "eval_steps_per_second": 2.863,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.33,
118
+ "grad_norm": 3.492926836013794,
119
+ "learning_rate": 4.166666666666667e-05,
120
+ "loss": 1.8254,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.33,
125
+ "eval_loss": 1.806920051574707,
126
+ "eval_runtime": 522.6132,
127
+ "eval_samples_per_second": 5.74,
128
+ "eval_steps_per_second": 2.87,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.38,
133
+ "grad_norm": 2.235563278198242,
134
+ "learning_rate": 4.0625000000000005e-05,
135
+ "loss": 1.8518,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.38,
140
+ "eval_loss": 1.7872947454452515,
141
+ "eval_runtime": 521.8198,
142
+ "eval_samples_per_second": 5.749,
143
+ "eval_steps_per_second": 2.875,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.42,
148
+ "grad_norm": 3.2742645740509033,
149
+ "learning_rate": 3.958333333333333e-05,
150
+ "loss": 1.8471,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.42,
155
+ "eval_loss": 1.7879706621170044,
156
+ "eval_runtime": 522.5919,
157
+ "eval_samples_per_second": 5.741,
158
+ "eval_steps_per_second": 2.87,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.46,
163
+ "grad_norm": 2.861785411834717,
164
+ "learning_rate": 3.854166666666667e-05,
165
+ "loss": 1.8536,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.46,
170
+ "eval_loss": 1.773565649986267,
171
+ "eval_runtime": 522.5748,
172
+ "eval_samples_per_second": 5.741,
173
+ "eval_steps_per_second": 2.87,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.5,
178
+ "grad_norm": 2.342087745666504,
179
+ "learning_rate": 3.7500000000000003e-05,
180
+ "loss": 1.8075,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.5,
185
+ "eval_loss": 1.7772246599197388,
186
+ "eval_runtime": 521.8614,
187
+ "eval_samples_per_second": 5.749,
188
+ "eval_steps_per_second": 2.874,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.54,
193
+ "grad_norm": 3.7963709831237793,
194
+ "learning_rate": 3.6458333333333336e-05,
195
+ "loss": 1.8143,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.54,
200
+ "eval_loss": 1.7724062204360962,
201
+ "eval_runtime": 522.2168,
202
+ "eval_samples_per_second": 5.745,
203
+ "eval_steps_per_second": 2.872,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.58,
208
+ "grad_norm": 2.7261409759521484,
209
+ "learning_rate": 3.541666666666667e-05,
210
+ "loss": 1.8383,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.58,
215
+ "eval_loss": 1.7670141458511353,
216
+ "eval_runtime": 523.5327,
217
+ "eval_samples_per_second": 5.73,
218
+ "eval_steps_per_second": 2.865,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.62,
223
+ "grad_norm": 2.521083354949951,
224
+ "learning_rate": 3.4375e-05,
225
+ "loss": 1.746,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.62,
230
+ "eval_loss": 1.774078607559204,
231
+ "eval_runtime": 522.8622,
232
+ "eval_samples_per_second": 5.738,
233
+ "eval_steps_per_second": 2.869,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.67,
238
+ "grad_norm": 2.275449752807617,
239
+ "learning_rate": 3.3333333333333335e-05,
240
+ "loss": 1.7844,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.67,
245
+ "eval_loss": 1.7608264684677124,
246
+ "eval_runtime": 524.0843,
247
+ "eval_samples_per_second": 5.724,
248
+ "eval_steps_per_second": 2.862,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.71,
253
+ "grad_norm": 3.3412251472473145,
254
+ "learning_rate": 3.229166666666667e-05,
255
+ "loss": 1.7761,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.71,
260
+ "eval_loss": 1.7679654359817505,
261
+ "eval_runtime": 523.8138,
262
+ "eval_samples_per_second": 5.727,
263
+ "eval_steps_per_second": 2.864,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 0.75,
268
+ "grad_norm": 2.000788688659668,
269
+ "learning_rate": 3.125e-05,
270
+ "loss": 1.7367,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 0.75,
275
+ "eval_loss": 1.7554887533187866,
276
+ "eval_runtime": 522.9431,
277
+ "eval_samples_per_second": 5.737,
278
+ "eval_steps_per_second": 2.868,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 0.79,
283
+ "grad_norm": 2.744258403778076,
284
+ "learning_rate": 3.0208333333333334e-05,
285
+ "loss": 1.7656,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 0.79,
290
+ "eval_loss": 1.7508151531219482,
291
+ "eval_runtime": 522.4025,
292
+ "eval_samples_per_second": 5.743,
293
+ "eval_steps_per_second": 2.871,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 0.83,
298
+ "grad_norm": 2.7946290969848633,
299
+ "learning_rate": 2.916666666666667e-05,
300
+ "loss": 1.7467,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 0.83,
305
+ "eval_loss": 1.7557835578918457,
306
+ "eval_runtime": 523.7331,
307
+ "eval_samples_per_second": 5.728,
308
+ "eval_steps_per_second": 2.864,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 0.88,
313
+ "grad_norm": 2.4864296913146973,
314
+ "learning_rate": 2.8125000000000003e-05,
315
+ "loss": 1.7744,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 0.88,
320
+ "eval_loss": 1.744908094406128,
321
+ "eval_runtime": 523.6435,
322
+ "eval_samples_per_second": 5.729,
323
+ "eval_steps_per_second": 2.865,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 0.92,
328
+ "grad_norm": 2.4293007850646973,
329
+ "learning_rate": 2.7083333333333332e-05,
330
+ "loss": 1.7513,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 0.92,
335
+ "eval_loss": 1.7462434768676758,
336
+ "eval_runtime": 523.5176,
337
+ "eval_samples_per_second": 5.73,
338
+ "eval_steps_per_second": 2.865,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 0.96,
343
+ "grad_norm": 2.8948864936828613,
344
+ "learning_rate": 2.604166666666667e-05,
345
+ "loss": 1.7482,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 0.96,
350
+ "eval_loss": 1.757570505142212,
351
+ "eval_runtime": 523.9557,
352
+ "eval_samples_per_second": 5.726,
353
+ "eval_steps_per_second": 2.863,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 1.0,
358
+ "grad_norm": 3.327749490737915,
359
+ "learning_rate": 2.5e-05,
360
+ "loss": 1.724,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 1.0,
365
+ "eval_loss": 1.752493143081665,
366
+ "eval_runtime": 523.6941,
367
+ "eval_samples_per_second": 5.729,
368
+ "eval_steps_per_second": 2.864,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 1.04,
373
+ "grad_norm": 2.6060996055603027,
374
+ "learning_rate": 2.3958333333333334e-05,
375
+ "loss": 1.7043,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 1.04,
380
+ "eval_loss": 1.7745699882507324,
381
+ "eval_runtime": 524.2816,
382
+ "eval_samples_per_second": 5.722,
383
+ "eval_steps_per_second": 2.861,
384
+ "step": 12500
385
+ },
386
+ {
387
+ "epoch": 1.08,
388
+ "grad_norm": 3.1417739391326904,
389
+ "learning_rate": 2.2916666666666667e-05,
390
+ "loss": 1.6869,
391
+ "step": 13000
392
+ },
393
+ {
394
+ "epoch": 1.08,
395
+ "eval_loss": 1.7530784606933594,
396
+ "eval_runtime": 524.8963,
397
+ "eval_samples_per_second": 5.715,
398
+ "eval_steps_per_second": 2.858,
399
+ "step": 13000
400
+ },
401
+ {
402
+ "epoch": 1.12,
403
+ "grad_norm": 2.0913174152374268,
404
+ "learning_rate": 2.1875e-05,
405
+ "loss": 1.7405,
406
+ "step": 13500
407
+ },
408
+ {
409
+ "epoch": 1.12,
410
+ "eval_loss": 1.7472872734069824,
411
+ "eval_runtime": 523.5132,
412
+ "eval_samples_per_second": 5.731,
413
+ "eval_steps_per_second": 2.865,
414
+ "step": 13500
415
+ },
416
+ {
417
+ "epoch": 1.17,
418
+ "grad_norm": 2.501850128173828,
419
+ "learning_rate": 2.0833333333333336e-05,
420
+ "loss": 1.7343,
421
+ "step": 14000
422
+ },
423
+ {
424
+ "epoch": 1.17,
425
+ "eval_loss": 1.73961341381073,
426
+ "eval_runtime": 523.4238,
427
+ "eval_samples_per_second": 5.731,
428
+ "eval_steps_per_second": 2.866,
429
+ "step": 14000
430
+ },
431
+ {
432
+ "epoch": 1.21,
433
+ "grad_norm": 2.3180103302001953,
434
+ "learning_rate": 1.9791666666666665e-05,
435
+ "loss": 1.649,
436
+ "step": 14500
437
+ },
438
+ {
439
+ "epoch": 1.21,
440
+ "eval_loss": 1.738362431526184,
441
+ "eval_runtime": 522.9782,
442
+ "eval_samples_per_second": 5.736,
443
+ "eval_steps_per_second": 2.868,
444
+ "step": 14500
445
+ },
446
+ {
447
+ "epoch": 1.25,
448
+ "grad_norm": 2.6544899940490723,
449
+ "learning_rate": 1.8750000000000002e-05,
450
+ "loss": 1.7208,
451
+ "step": 15000
452
+ },
453
+ {
454
+ "epoch": 1.25,
455
+ "eval_loss": 1.7367714643478394,
456
+ "eval_runtime": 522.0439,
457
+ "eval_samples_per_second": 5.747,
458
+ "eval_steps_per_second": 2.873,
459
+ "step": 15000
460
+ },
461
+ {
462
+ "epoch": 1.29,
463
+ "grad_norm": 2.5193896293640137,
464
+ "learning_rate": 1.7708333333333335e-05,
465
+ "loss": 1.6931,
466
+ "step": 15500
467
+ },
468
+ {
469
+ "epoch": 1.29,
470
+ "eval_loss": 1.7404463291168213,
471
+ "eval_runtime": 523.0385,
472
+ "eval_samples_per_second": 5.736,
473
+ "eval_steps_per_second": 2.868,
474
+ "step": 15500
475
+ },
476
+ {
477
+ "epoch": 1.33,
478
+ "grad_norm": 2.3002140522003174,
479
+ "learning_rate": 1.6666666666666667e-05,
480
+ "loss": 1.5941,
481
+ "step": 16000
482
+ },
483
+ {
484
+ "epoch": 1.33,
485
+ "eval_loss": 1.8222692012786865,
486
+ "eval_runtime": 521.374,
487
+ "eval_samples_per_second": 5.754,
488
+ "eval_steps_per_second": 2.877,
489
+ "step": 16000
490
+ },
491
+ {
492
+ "epoch": 1.38,
493
+ "grad_norm": 3.3250951766967773,
494
+ "learning_rate": 1.5625e-05,
495
+ "loss": 1.6651,
496
+ "step": 16500
497
+ },
498
+ {
499
+ "epoch": 1.38,
500
+ "eval_loss": 1.728702187538147,
501
+ "eval_runtime": 522.2011,
502
+ "eval_samples_per_second": 5.745,
503
+ "eval_steps_per_second": 2.872,
504
+ "step": 16500
505
+ },
506
+ {
507
+ "epoch": 1.42,
508
+ "grad_norm": 2.0962421894073486,
509
+ "learning_rate": 1.4583333333333335e-05,
510
+ "loss": 1.6649,
511
+ "step": 17000
512
+ },
513
+ {
514
+ "epoch": 1.42,
515
+ "eval_loss": 1.741267204284668,
516
+ "eval_runtime": 522.024,
517
+ "eval_samples_per_second": 5.747,
518
+ "eval_steps_per_second": 2.873,
519
+ "step": 17000
520
+ },
521
+ {
522
+ "epoch": 1.46,
523
+ "grad_norm": 2.672060012817383,
524
+ "learning_rate": 1.3541666666666666e-05,
525
+ "loss": 1.7108,
526
+ "step": 17500
527
+ },
528
+ {
529
+ "epoch": 1.46,
530
+ "eval_loss": 1.7304407358169556,
531
+ "eval_runtime": 521.9513,
532
+ "eval_samples_per_second": 5.748,
533
+ "eval_steps_per_second": 2.874,
534
+ "step": 17500
535
+ },
536
+ {
537
+ "epoch": 1.5,
538
+ "grad_norm": 2.358701229095459,
539
+ "learning_rate": 1.25e-05,
540
+ "loss": 1.713,
541
+ "step": 18000
542
+ },
543
+ {
544
+ "epoch": 1.5,
545
+ "eval_loss": 1.7263309955596924,
546
+ "eval_runtime": 521.5686,
547
+ "eval_samples_per_second": 5.752,
548
+ "eval_steps_per_second": 2.876,
549
+ "step": 18000
550
+ },
551
+ {
552
+ "epoch": 1.54,
553
+ "grad_norm": 3.01208233833313,
554
+ "learning_rate": 1.1458333333333333e-05,
555
+ "loss": 1.6866,
556
+ "step": 18500
557
+ },
558
+ {
559
+ "epoch": 1.54,
560
+ "eval_loss": 1.7139294147491455,
561
+ "eval_runtime": 521.9607,
562
+ "eval_samples_per_second": 5.748,
563
+ "eval_steps_per_second": 2.874,
564
+ "step": 18500
565
+ },
566
+ {
567
+ "epoch": 1.58,
568
+ "grad_norm": 1.647988200187683,
569
+ "learning_rate": 1.0416666666666668e-05,
570
+ "loss": 1.6461,
571
+ "step": 19000
572
+ },
573
+ {
574
+ "epoch": 1.58,
575
+ "eval_loss": 1.7220714092254639,
576
+ "eval_runtime": 523.0668,
577
+ "eval_samples_per_second": 5.735,
578
+ "eval_steps_per_second": 2.868,
579
+ "step": 19000
580
+ },
581
+ {
582
+ "epoch": 1.62,
583
+ "grad_norm": 2.259550094604492,
584
+ "learning_rate": 9.375000000000001e-06,
585
+ "loss": 1.6886,
586
+ "step": 19500
587
+ },
588
+ {
589
+ "epoch": 1.62,
590
+ "eval_loss": 1.7159427404403687,
591
+ "eval_runtime": 522.0391,
592
+ "eval_samples_per_second": 5.747,
593
+ "eval_steps_per_second": 2.873,
594
+ "step": 19500
595
+ },
596
+ {
597
+ "epoch": 1.67,
598
+ "grad_norm": 2.249917507171631,
599
+ "learning_rate": 8.333333333333334e-06,
600
+ "loss": 1.6511,
601
+ "step": 20000
602
+ },
603
+ {
604
+ "epoch": 1.67,
605
+ "eval_loss": 1.7302324771881104,
606
+ "eval_runtime": 521.3364,
607
+ "eval_samples_per_second": 5.754,
608
+ "eval_steps_per_second": 2.877,
609
+ "step": 20000
610
+ },
611
+ {
612
+ "epoch": 1.71,
613
+ "grad_norm": 1.9024745225906372,
614
+ "learning_rate": 7.2916666666666674e-06,
615
+ "loss": 1.6626,
616
+ "step": 20500
617
+ },
618
+ {
619
+ "epoch": 1.71,
620
+ "eval_loss": 1.7181695699691772,
621
+ "eval_runtime": 489.9754,
622
+ "eval_samples_per_second": 6.123,
623
+ "eval_steps_per_second": 3.061,
624
+ "step": 20500
625
+ },
626
+ {
627
+ "epoch": 1.75,
628
+ "grad_norm": 2.484917640686035,
629
+ "learning_rate": 6.25e-06,
630
+ "loss": 1.7052,
631
+ "step": 21000
632
+ },
633
+ {
634
+ "epoch": 1.75,
635
+ "eval_loss": 1.716320514678955,
636
+ "eval_runtime": 489.0607,
637
+ "eval_samples_per_second": 6.134,
638
+ "eval_steps_per_second": 3.067,
639
+ "step": 21000
640
+ },
641
+ {
642
+ "epoch": 1.79,
643
+ "grad_norm": 2.4450478553771973,
644
+ "learning_rate": 5.208333333333334e-06,
645
+ "loss": 1.6831,
646
+ "step": 21500
647
+ },
648
+ {
649
+ "epoch": 1.79,
650
+ "eval_loss": 1.7168132066726685,
651
+ "eval_runtime": 489.1379,
652
+ "eval_samples_per_second": 6.133,
653
+ "eval_steps_per_second": 3.067,
654
+ "step": 21500
655
+ },
656
+ {
657
+ "epoch": 1.83,
658
+ "grad_norm": 2.011652946472168,
659
+ "learning_rate": 4.166666666666667e-06,
660
+ "loss": 1.6057,
661
+ "step": 22000
662
+ },
663
+ {
664
+ "epoch": 1.83,
665
+ "eval_loss": 1.715084195137024,
666
+ "eval_runtime": 489.2379,
667
+ "eval_samples_per_second": 6.132,
668
+ "eval_steps_per_second": 3.066,
669
+ "step": 22000
670
+ },
671
+ {
672
+ "epoch": 1.88,
673
+ "grad_norm": 1.7278447151184082,
674
+ "learning_rate": 3.125e-06,
675
+ "loss": 1.6761,
676
+ "step": 22500
677
+ },
678
+ {
679
+ "epoch": 1.88,
680
+ "eval_loss": 1.7116761207580566,
681
+ "eval_runtime": 488.632,
682
+ "eval_samples_per_second": 6.14,
683
+ "eval_steps_per_second": 3.07,
684
+ "step": 22500
685
+ },
686
+ {
687
+ "epoch": 1.92,
688
+ "grad_norm": 1.4899113178253174,
689
+ "learning_rate": 2.0833333333333334e-06,
690
+ "loss": 1.6668,
691
+ "step": 23000
692
+ },
693
+ {
694
+ "epoch": 1.92,
695
+ "eval_loss": 1.7163901329040527,
696
+ "eval_runtime": 488.958,
697
+ "eval_samples_per_second": 6.135,
698
+ "eval_steps_per_second": 3.068,
699
+ "step": 23000
700
+ },
701
+ {
702
+ "epoch": 1.96,
703
+ "grad_norm": 2.4776082038879395,
704
+ "learning_rate": 1.0416666666666667e-06,
705
+ "loss": 1.612,
706
+ "step": 23500
707
+ },
708
+ {
709
+ "epoch": 1.96,
710
+ "eval_loss": 1.712184190750122,
711
+ "eval_runtime": 490.7154,
712
+ "eval_samples_per_second": 6.114,
713
+ "eval_steps_per_second": 3.057,
714
+ "step": 23500
715
+ },
716
+ {
717
+ "epoch": 2.0,
718
+ "grad_norm": 1.9447611570358276,
719
+ "learning_rate": 0.0,
720
+ "loss": 1.6617,
721
+ "step": 24000
722
+ },
723
+ {
724
+ "epoch": 2.0,
725
+ "eval_loss": 1.7131377458572388,
726
+ "eval_runtime": 488.7943,
727
+ "eval_samples_per_second": 6.138,
728
+ "eval_steps_per_second": 3.069,
729
+ "step": 24000
730
+ },
731
+ {
732
+ "epoch": 2.04,
733
+ "grad_norm": 1.3564224243164062,
734
+ "learning_rate": 1.597222222222222e-05,
735
+ "loss": 1.641,
736
+ "step": 24500
737
+ },
738
+ {
739
+ "epoch": 2.04,
740
+ "eval_loss": 1.727720856666565,
741
+ "eval_runtime": 492.4028,
742
+ "eval_samples_per_second": 6.093,
743
+ "eval_steps_per_second": 3.046,
744
+ "step": 24500
745
+ }
746
+ ],
747
+ "logging_steps": 500,
748
+ "max_steps": 36000,
749
+ "num_input_tokens_seen": 0,
750
+ "num_train_epochs": 3,
751
+ "save_steps": 500,
752
+ "total_flos": 5.3094062751744e+16,
753
+ "train_batch_size": 2,
754
+ "trial_name": null,
755
+ "trial_params": null
756
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d59b57789e0457cbbcc4731527b4fc44795495c0fbfa437c26e4d33bbfb9bbb4
3
+ size 5368