talargv commited on
Commit
a5f1328
1 Parent(s): afdef97

End of training

Browse files
Files changed (2) hide show
  1. README.md +3 -1
  2. trainer_state.json +328 -34
README.md CHANGED
@@ -3,6 +3,8 @@ base_model: facebook/musicgen-melody
3
  library_name: peft
4
  license: cc-by-nc-4.0
5
  tags:
 
 
6
  - generated_from_trainer
7
  model-index:
8
  - name: musicgen-finetune-sanity-check
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # musicgen-finetune-sanity-check
16
 
17
- This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on an unknown dataset.
18
 
19
  ## Model description
20
 
 
3
  library_name: peft
4
  license: cc-by-nc-4.0
5
  tags:
6
+ - text-to-audio
7
+ - tiny-punk
8
  - generated_from_trainer
9
  model-index:
10
  - name: musicgen-finetune-sanity-check
 
16
 
17
  # musicgen-finetune-sanity-check
18
 
19
+ This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the ylacombe/tiny-punk dataset.
20
 
21
  ## Model description
22
 
trainer_state.json CHANGED
@@ -1,67 +1,361 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 3.0,
5
  "eval_steps": 500,
6
- "global_step": 12,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.5925925925925926,
13
- "grad_norm": 1.1169788837432861,
14
- "learning_rate": 0.0001666666666666667,
15
- "loss": 9.4875,
16
  "step": 2
17
  },
18
  {
19
- "epoch": 1.0,
20
- "grad_norm": 0.5290070176124573,
21
- "learning_rate": 0.00013333333333333334,
22
- "loss": 6.3269,
23
  "step": 4
24
  },
25
  {
26
- "epoch": 1.5925925925925926,
27
- "grad_norm": 2.0892348289489746,
28
- "learning_rate": 0.0001,
29
- "loss": 8.702,
30
  "step": 6
31
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
  {
33
  "epoch": 2.0,
34
- "grad_norm": 0.8297500014305115,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
  "learning_rate": 6.666666666666667e-05,
36
- "loss": 5.6759,
37
- "step": 8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
  },
39
  {
40
- "epoch": 2.5925925925925926,
41
- "grad_norm": 1.6533282995224,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  "learning_rate": 3.3333333333333335e-05,
43
- "loss": 7.9191,
44
- "step": 10
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
45
  },
46
  {
47
- "epoch": 3.0,
48
- "grad_norm": 0.6855071187019348,
 
 
 
 
 
 
 
49
  "learning_rate": 0.0,
50
- "loss": 5.359,
51
- "step": 12
52
  },
53
  {
54
- "epoch": 3.0,
55
- "step": 12,
56
- "total_flos": 46470406904520.0,
57
- "train_loss": 7.245094935099284,
58
- "train_runtime": 270.2823,
59
- "train_samples_per_second": 0.799,
60
- "train_steps_per_second": 0.044
61
  }
62
  ],
63
  "logging_steps": 2,
64
- "max_steps": 12,
65
  "num_input_tokens_seen": 0,
66
  "num_train_epochs": 4,
67
  "save_steps": 500,
@@ -77,7 +371,7 @@
77
  "attributes": {}
78
  }
79
  },
80
- "total_flos": 46470406904520.0,
81
  "train_batch_size": 2,
82
  "trial_name": null,
83
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 3.857142857142857,
5
  "eval_steps": 500,
6
+ "global_step": 96,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.08163265306122448,
13
+ "grad_norm": 0.9611280560493469,
14
+ "learning_rate": 0.00019583333333333334,
15
+ "loss": 9.6138,
16
  "step": 2
17
  },
18
  {
19
+ "epoch": 0.16326530612244897,
20
+ "grad_norm": 1.6276118755340576,
21
+ "learning_rate": 0.00019166666666666667,
22
+ "loss": 9.1817,
23
  "step": 4
24
  },
25
  {
26
+ "epoch": 0.24489795918367346,
27
+ "grad_norm": 1.9113811254501343,
28
+ "learning_rate": 0.0001875,
29
+ "loss": 8.6034,
30
  "step": 6
31
  },
32
+ {
33
+ "epoch": 0.32653061224489793,
34
+ "grad_norm": 1.9783806800842285,
35
+ "learning_rate": 0.00018333333333333334,
36
+ "loss": 8.2011,
37
+ "step": 8
38
+ },
39
+ {
40
+ "epoch": 0.40816326530612246,
41
+ "grad_norm": 1.256810188293457,
42
+ "learning_rate": 0.0001791666666666667,
43
+ "loss": 7.825,
44
+ "step": 10
45
+ },
46
+ {
47
+ "epoch": 0.4897959183673469,
48
+ "grad_norm": 1.0618529319763184,
49
+ "learning_rate": 0.000175,
50
+ "loss": 7.5991,
51
+ "step": 12
52
+ },
53
+ {
54
+ "epoch": 0.5714285714285714,
55
+ "grad_norm": 1.0928442478179932,
56
+ "learning_rate": 0.00017083333333333333,
57
+ "loss": 7.5382,
58
+ "step": 14
59
+ },
60
+ {
61
+ "epoch": 0.6530612244897959,
62
+ "grad_norm": 1.0726333856582642,
63
+ "learning_rate": 0.0001666666666666667,
64
+ "loss": 7.5217,
65
+ "step": 16
66
+ },
67
+ {
68
+ "epoch": 0.7346938775510204,
69
+ "grad_norm": 0.9622203707695007,
70
+ "learning_rate": 0.00016250000000000002,
71
+ "loss": 7.4223,
72
+ "step": 18
73
+ },
74
+ {
75
+ "epoch": 0.8163265306122449,
76
+ "grad_norm": 0.9835846424102783,
77
+ "learning_rate": 0.00015833333333333332,
78
+ "loss": 7.3894,
79
+ "step": 20
80
+ },
81
+ {
82
+ "epoch": 0.8979591836734694,
83
+ "grad_norm": 0.7535036206245422,
84
+ "learning_rate": 0.00015416666666666668,
85
+ "loss": 7.3294,
86
+ "step": 22
87
+ },
88
+ {
89
+ "epoch": 0.9795918367346939,
90
+ "grad_norm": 0.5977053046226501,
91
+ "learning_rate": 0.00015000000000000001,
92
+ "loss": 7.3581,
93
+ "step": 24
94
+ },
95
+ {
96
+ "epoch": 1.0408163265306123,
97
+ "grad_norm": 1.4706302881240845,
98
+ "learning_rate": 0.00014583333333333335,
99
+ "loss": 5.4914,
100
+ "step": 26
101
+ },
102
+ {
103
+ "epoch": 1.1224489795918366,
104
+ "grad_norm": 0.9165309071540833,
105
+ "learning_rate": 0.00014166666666666668,
106
+ "loss": 7.2332,
107
+ "step": 28
108
+ },
109
+ {
110
+ "epoch": 1.2040816326530612,
111
+ "grad_norm": 1.0459541082382202,
112
+ "learning_rate": 0.0001375,
113
+ "loss": 7.2485,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 1.2857142857142856,
118
+ "grad_norm": 0.7298290133476257,
119
+ "learning_rate": 0.00013333333333333334,
120
+ "loss": 7.2555,
121
+ "step": 32
122
+ },
123
+ {
124
+ "epoch": 1.3673469387755102,
125
+ "grad_norm": 0.7277728319168091,
126
+ "learning_rate": 0.00012916666666666667,
127
+ "loss": 7.1953,
128
+ "step": 34
129
+ },
130
+ {
131
+ "epoch": 1.4489795918367347,
132
+ "grad_norm": 0.6085571646690369,
133
+ "learning_rate": 0.000125,
134
+ "loss": 7.1782,
135
+ "step": 36
136
+ },
137
+ {
138
+ "epoch": 1.5306122448979593,
139
+ "grad_norm": 0.621771514415741,
140
+ "learning_rate": 0.00012083333333333333,
141
+ "loss": 7.1948,
142
+ "step": 38
143
+ },
144
+ {
145
+ "epoch": 1.6122448979591837,
146
+ "grad_norm": 0.8418042659759521,
147
+ "learning_rate": 0.00011666666666666668,
148
+ "loss": 7.1403,
149
+ "step": 40
150
+ },
151
+ {
152
+ "epoch": 1.693877551020408,
153
+ "grad_norm": 0.4234924018383026,
154
+ "learning_rate": 0.00011250000000000001,
155
+ "loss": 7.1515,
156
+ "step": 42
157
+ },
158
+ {
159
+ "epoch": 1.7755102040816326,
160
+ "grad_norm": 0.6041470766067505,
161
+ "learning_rate": 0.00010833333333333333,
162
+ "loss": 7.0812,
163
+ "step": 44
164
+ },
165
+ {
166
+ "epoch": 1.8571428571428572,
167
+ "grad_norm": 0.8113789558410645,
168
+ "learning_rate": 0.00010416666666666667,
169
+ "loss": 7.1907,
170
+ "step": 46
171
+ },
172
+ {
173
+ "epoch": 1.9387755102040818,
174
+ "grad_norm": 0.8824118375778198,
175
+ "learning_rate": 0.0001,
176
+ "loss": 7.1823,
177
+ "step": 48
178
+ },
179
  {
180
  "epoch": 2.0,
181
+ "grad_norm": 0.4565996527671814,
182
+ "learning_rate": 9.583333333333334e-05,
183
+ "loss": 5.3337,
184
+ "step": 50
185
+ },
186
+ {
187
+ "epoch": 2.0816326530612246,
188
+ "grad_norm": 0.6504805088043213,
189
+ "learning_rate": 9.166666666666667e-05,
190
+ "loss": 7.1268,
191
+ "step": 52
192
+ },
193
+ {
194
+ "epoch": 2.163265306122449,
195
+ "grad_norm": 0.39629825949668884,
196
+ "learning_rate": 8.75e-05,
197
+ "loss": 7.1279,
198
+ "step": 54
199
+ },
200
+ {
201
+ "epoch": 2.2448979591836733,
202
+ "grad_norm": 0.48973432183265686,
203
+ "learning_rate": 8.333333333333334e-05,
204
+ "loss": 7.1235,
205
+ "step": 56
206
+ },
207
+ {
208
+ "epoch": 2.326530612244898,
209
+ "grad_norm": 0.4701223373413086,
210
+ "learning_rate": 7.916666666666666e-05,
211
+ "loss": 7.0456,
212
+ "step": 58
213
+ },
214
+ {
215
+ "epoch": 2.4081632653061225,
216
+ "grad_norm": 1.1409740447998047,
217
+ "learning_rate": 7.500000000000001e-05,
218
+ "loss": 7.1346,
219
+ "step": 60
220
+ },
221
+ {
222
+ "epoch": 2.489795918367347,
223
+ "grad_norm": 0.48205825686454773,
224
+ "learning_rate": 7.083333333333334e-05,
225
+ "loss": 7.0549,
226
+ "step": 62
227
+ },
228
+ {
229
+ "epoch": 2.571428571428571,
230
+ "grad_norm": 0.6595655083656311,
231
  "learning_rate": 6.666666666666667e-05,
232
+ "loss": 7.1589,
233
+ "step": 64
234
+ },
235
+ {
236
+ "epoch": 2.6530612244897958,
237
+ "grad_norm": 0.8976457715034485,
238
+ "learning_rate": 6.25e-05,
239
+ "loss": 7.0514,
240
+ "step": 66
241
+ },
242
+ {
243
+ "epoch": 2.7346938775510203,
244
+ "grad_norm": 0.7210097312927246,
245
+ "learning_rate": 5.833333333333334e-05,
246
+ "loss": 7.1126,
247
+ "step": 68
248
+ },
249
+ {
250
+ "epoch": 2.816326530612245,
251
+ "grad_norm": 0.49198052287101746,
252
+ "learning_rate": 5.4166666666666664e-05,
253
+ "loss": 7.1056,
254
+ "step": 70
255
  },
256
  {
257
+ "epoch": 2.8979591836734695,
258
+ "grad_norm": 0.48084384202957153,
259
+ "learning_rate": 5e-05,
260
+ "loss": 6.9983,
261
+ "step": 72
262
+ },
263
+ {
264
+ "epoch": 2.979591836734694,
265
+ "grad_norm": 0.5943397879600525,
266
+ "learning_rate": 4.5833333333333334e-05,
267
+ "loss": 7.1149,
268
+ "step": 74
269
+ },
270
+ {
271
+ "epoch": 3.0408163265306123,
272
+ "grad_norm": 0.49961674213409424,
273
+ "learning_rate": 4.166666666666667e-05,
274
+ "loss": 5.322,
275
+ "step": 76
276
+ },
277
+ {
278
+ "epoch": 3.122448979591837,
279
+ "grad_norm": 0.5228291153907776,
280
+ "learning_rate": 3.7500000000000003e-05,
281
+ "loss": 7.0475,
282
+ "step": 78
283
+ },
284
+ {
285
+ "epoch": 3.204081632653061,
286
+ "grad_norm": 0.7281824350357056,
287
  "learning_rate": 3.3333333333333335e-05,
288
+ "loss": 7.0873,
289
+ "step": 80
290
+ },
291
+ {
292
+ "epoch": 3.2857142857142856,
293
+ "grad_norm": 0.49217817187309265,
294
+ "learning_rate": 2.916666666666667e-05,
295
+ "loss": 7.0653,
296
+ "step": 82
297
+ },
298
+ {
299
+ "epoch": 3.36734693877551,
300
+ "grad_norm": 0.6683712005615234,
301
+ "learning_rate": 2.5e-05,
302
+ "loss": 7.0252,
303
+ "step": 84
304
+ },
305
+ {
306
+ "epoch": 3.4489795918367347,
307
+ "grad_norm": 0.7695971131324768,
308
+ "learning_rate": 2.0833333333333336e-05,
309
+ "loss": 7.0718,
310
+ "step": 86
311
+ },
312
+ {
313
+ "epoch": 3.5306122448979593,
314
+ "grad_norm": 0.6157537698745728,
315
+ "learning_rate": 1.6666666666666667e-05,
316
+ "loss": 7.0925,
317
+ "step": 88
318
+ },
319
+ {
320
+ "epoch": 3.612244897959184,
321
+ "grad_norm": 0.5091469287872314,
322
+ "learning_rate": 1.25e-05,
323
+ "loss": 6.9613,
324
+ "step": 90
325
+ },
326
+ {
327
+ "epoch": 3.693877551020408,
328
+ "grad_norm": 0.5973119735717773,
329
+ "learning_rate": 8.333333333333334e-06,
330
+ "loss": 7.01,
331
+ "step": 92
332
  },
333
  {
334
+ "epoch": 3.7755102040816326,
335
+ "grad_norm": 0.44761213660240173,
336
+ "learning_rate": 4.166666666666667e-06,
337
+ "loss": 7.1092,
338
+ "step": 94
339
+ },
340
+ {
341
+ "epoch": 3.857142857142857,
342
+ "grad_norm": 0.6290495991706848,
343
  "learning_rate": 0.0,
344
+ "loss": 7.0562,
345
+ "step": 96
346
  },
347
  {
348
+ "epoch": 3.857142857142857,
349
+ "step": 96,
350
+ "total_flos": 97587854499492.0,
351
+ "train_loss": 7.217979848384857,
352
+ "train_runtime": 2726.5862,
353
+ "train_samples_per_second": 0.574,
354
+ "train_steps_per_second": 0.035
355
  }
356
  ],
357
  "logging_steps": 2,
358
+ "max_steps": 96,
359
  "num_input_tokens_seen": 0,
360
  "num_train_epochs": 4,
361
  "save_steps": 500,
 
371
  "attributes": {}
372
  }
373
  },
374
+ "total_flos": 97587854499492.0,
375
  "train_batch_size": 2,
376
  "trial_name": null,
377
  "trial_params": null