taufiqsyed commited on
Commit
d1eaad8
1 Parent(s): 9748a5f

End of training

Browse files
Files changed (5) hide show
  1. README.md +5 -3
  2. all_results.json +15 -0
  3. eval_results.json +9 -0
  4. train_results.json +9 -0
  5. trainer_state.json +387 -0
README.md CHANGED
@@ -3,6 +3,8 @@ library_name: peft
3
  license: cc-by-nc-4.0
4
  base_model: facebook/musicgen-small
5
  tags:
 
 
6
  - generated_from_trainer
7
  model-index:
8
  - name: salami_truncsplit_model_mid
@@ -14,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # salami_truncsplit_model_mid
16
 
17
- This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 5.8969
20
- - Clap: 0.1396
21
 
22
  ## Model description
23
 
 
3
  license: cc-by-nc-4.0
4
  base_model: facebook/musicgen-small
5
  tags:
6
+ - text-to-audio
7
+ - taufiqsyed/salami_cleaned_sampled
8
  - generated_from_trainer
9
  model-index:
10
  - name: salami_truncsplit_model_mid
 
16
 
17
  # salami_truncsplit_model_mid
18
 
19
+ This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 6.5818
22
+ - Clap: 0.1330
23
 
24
  ## Model description
25
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.7199999999999998,
3
+ "eval_clap": 0.1329956203699112,
4
+ "eval_loss": 6.581780910491943,
5
+ "eval_runtime": 202.5749,
6
+ "eval_samples": 32,
7
+ "eval_samples_per_second": 0.158,
8
+ "eval_steps_per_second": 0.158,
9
+ "total_flos": 180716776957944.0,
10
+ "train_loss": 6.281136025985082,
11
+ "train_runtime": 1764.029,
12
+ "train_samples": 400,
13
+ "train_samples_per_second": 0.907,
14
+ "train_steps_per_second": 0.027
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.7199999999999998,
3
+ "eval_clap": 0.1329956203699112,
4
+ "eval_loss": 6.581780910491943,
5
+ "eval_runtime": 202.5749,
6
+ "eval_samples": 32,
7
+ "eval_samples_per_second": 0.158,
8
+ "eval_steps_per_second": 0.158
9
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.7199999999999998,
3
+ "total_flos": 180716776957944.0,
4
+ "train_loss": 6.281136025985082,
5
+ "train_runtime": 1764.029,
6
+ "train_samples": 400,
7
+ "train_samples_per_second": 0.907,
8
+ "train_steps_per_second": 0.027
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,387 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.7199999999999998,
5
+ "eval_steps": 25,
6
+ "global_step": 48,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08,
13
+ "grad_norm": 90.5236587524414,
14
+ "learning_rate": 0.0002,
15
+ "loss": 9.8877,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.16,
20
+ "grad_norm": 60.02783966064453,
21
+ "learning_rate": 0.0002,
22
+ "loss": 9.4404,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.24,
27
+ "grad_norm": 102.20321655273438,
28
+ "learning_rate": 0.0002,
29
+ "loss": 8.8638,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.32,
34
+ "grad_norm": 82.49861145019531,
35
+ "learning_rate": 0.0002,
36
+ "loss": 8.0872,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.4,
41
+ "grad_norm": 81.60125732421875,
42
+ "learning_rate": 0.0002,
43
+ "loss": 7.2292,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.48,
48
+ "grad_norm": 52.2266960144043,
49
+ "learning_rate": 0.0002,
50
+ "loss": 7.0472,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.56,
55
+ "grad_norm": 75.96226501464844,
56
+ "learning_rate": 0.0002,
57
+ "loss": 7.2919,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.64,
62
+ "grad_norm": 70.42675018310547,
63
+ "learning_rate": 0.0002,
64
+ "loss": 7.1477,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.72,
69
+ "grad_norm": 52.09629821777344,
70
+ "learning_rate": 0.0002,
71
+ "loss": 6.899,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.8,
76
+ "grad_norm": 28.537267684936523,
77
+ "learning_rate": 0.0002,
78
+ "loss": 6.7016,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.88,
83
+ "grad_norm": 29.203533172607422,
84
+ "learning_rate": 0.0002,
85
+ "loss": 6.1981,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.96,
90
+ "grad_norm": 23.664485931396484,
91
+ "learning_rate": 0.0002,
92
+ "loss": 6.3924,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 1.0,
97
+ "grad_norm": 9.723264694213867,
98
+ "learning_rate": 0.0002,
99
+ "loss": 3.2305,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 1.08,
104
+ "grad_norm": 18.88973045349121,
105
+ "learning_rate": 0.0002,
106
+ "loss": 6.3592,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 1.16,
111
+ "grad_norm": 20.770938873291016,
112
+ "learning_rate": 0.0002,
113
+ "loss": 6.1203,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 1.24,
118
+ "grad_norm": 10.570067405700684,
119
+ "learning_rate": 0.0002,
120
+ "loss": 6.4217,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 1.32,
125
+ "grad_norm": 13.833821296691895,
126
+ "learning_rate": 0.0002,
127
+ "loss": 6.439,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 1.4,
132
+ "grad_norm": 19.160987854003906,
133
+ "learning_rate": 0.0002,
134
+ "loss": 5.8242,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 1.48,
139
+ "grad_norm": 10.99656867980957,
140
+ "learning_rate": 0.0002,
141
+ "loss": 6.1287,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 1.56,
146
+ "grad_norm": 16.58768081665039,
147
+ "learning_rate": 0.0002,
148
+ "loss": 6.408,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 1.6400000000000001,
153
+ "grad_norm": 11.93716812133789,
154
+ "learning_rate": 0.0002,
155
+ "loss": 6.3103,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 1.72,
160
+ "grad_norm": 9.053961753845215,
161
+ "learning_rate": 0.0002,
162
+ "loss": 6.2692,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 1.8,
167
+ "grad_norm": 19.67817497253418,
168
+ "learning_rate": 0.0002,
169
+ "loss": 5.9086,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 1.88,
174
+ "grad_norm": 10.540741920471191,
175
+ "learning_rate": 0.0002,
176
+ "loss": 6.1991,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 1.96,
181
+ "grad_norm": 8.84691333770752,
182
+ "learning_rate": 0.0002,
183
+ "loss": 6.1812,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 1.96,
188
+ "eval_clap": 0.13957726955413818,
189
+ "eval_loss": 5.896897315979004,
190
+ "eval_runtime": 206.5396,
191
+ "eval_samples_per_second": 0.155,
192
+ "eval_steps_per_second": 0.155,
193
+ "step": 25
194
+ },
195
+ {
196
+ "epoch": 2.0,
197
+ "grad_norm": 3.9374849796295166,
198
+ "learning_rate": 0.0002,
199
+ "loss": 3.1408,
200
+ "step": 26
201
+ },
202
+ {
203
+ "epoch": 2.08,
204
+ "grad_norm": 6.420533180236816,
205
+ "learning_rate": 0.0002,
206
+ "loss": 6.196,
207
+ "step": 27
208
+ },
209
+ {
210
+ "epoch": 2.16,
211
+ "grad_norm": 10.713640213012695,
212
+ "learning_rate": 0.0002,
213
+ "loss": 6.4188,
214
+ "step": 28
215
+ },
216
+ {
217
+ "epoch": 2.24,
218
+ "grad_norm": 13.720645904541016,
219
+ "learning_rate": 0.0002,
220
+ "loss": 5.9628,
221
+ "step": 29
222
+ },
223
+ {
224
+ "epoch": 2.32,
225
+ "grad_norm": 13.317567825317383,
226
+ "learning_rate": 0.0002,
227
+ "loss": 6.1474,
228
+ "step": 30
229
+ },
230
+ {
231
+ "epoch": 2.4,
232
+ "grad_norm": 11.3407621383667,
233
+ "learning_rate": 0.0002,
234
+ "loss": 5.9697,
235
+ "step": 31
236
+ },
237
+ {
238
+ "epoch": 2.48,
239
+ "grad_norm": 9.393121719360352,
240
+ "learning_rate": 0.0002,
241
+ "loss": 6.1152,
242
+ "step": 32
243
+ },
244
+ {
245
+ "epoch": 2.56,
246
+ "grad_norm": 14.54958438873291,
247
+ "learning_rate": 0.0002,
248
+ "loss": 5.7045,
249
+ "step": 33
250
+ },
251
+ {
252
+ "epoch": 2.64,
253
+ "grad_norm": 13.25341796875,
254
+ "learning_rate": 0.0002,
255
+ "loss": 6.2739,
256
+ "step": 34
257
+ },
258
+ {
259
+ "epoch": 2.7199999999999998,
260
+ "grad_norm": 10.817360877990723,
261
+ "learning_rate": 0.0002,
262
+ "loss": 5.9946,
263
+ "step": 35
264
+ },
265
+ {
266
+ "epoch": 2.8,
267
+ "grad_norm": 18.011138916015625,
268
+ "learning_rate": 0.0002,
269
+ "loss": 5.5463,
270
+ "step": 36
271
+ },
272
+ {
273
+ "epoch": 2.88,
274
+ "grad_norm": 18.857688903808594,
275
+ "learning_rate": 0.0002,
276
+ "loss": 6.4324,
277
+ "step": 37
278
+ },
279
+ {
280
+ "epoch": 2.96,
281
+ "grad_norm": 10.496877670288086,
282
+ "learning_rate": 0.0002,
283
+ "loss": 5.9915,
284
+ "step": 38
285
+ },
286
+ {
287
+ "epoch": 3.0,
288
+ "grad_norm": 4.552528381347656,
289
+ "learning_rate": 0.0002,
290
+ "loss": 3.1022,
291
+ "step": 39
292
+ },
293
+ {
294
+ "epoch": 3.08,
295
+ "grad_norm": 9.081900596618652,
296
+ "learning_rate": 0.0002,
297
+ "loss": 6.0394,
298
+ "step": 40
299
+ },
300
+ {
301
+ "epoch": 3.16,
302
+ "grad_norm": 13.829048156738281,
303
+ "learning_rate": 0.0002,
304
+ "loss": 5.9436,
305
+ "step": 41
306
+ },
307
+ {
308
+ "epoch": 3.24,
309
+ "grad_norm": 6.3993120193481445,
310
+ "learning_rate": 0.0002,
311
+ "loss": 6.276,
312
+ "step": 42
313
+ },
314
+ {
315
+ "epoch": 3.32,
316
+ "grad_norm": 20.436588287353516,
317
+ "learning_rate": 0.0002,
318
+ "loss": 5.7975,
319
+ "step": 43
320
+ },
321
+ {
322
+ "epoch": 3.4,
323
+ "grad_norm": 7.475179672241211,
324
+ "learning_rate": 0.0002,
325
+ "loss": 6.1817,
326
+ "step": 44
327
+ },
328
+ {
329
+ "epoch": 3.48,
330
+ "grad_norm": 17.927181243896484,
331
+ "learning_rate": 0.0002,
332
+ "loss": 5.8574,
333
+ "step": 45
334
+ },
335
+ {
336
+ "epoch": 3.56,
337
+ "grad_norm": 18.49729347229004,
338
+ "learning_rate": 0.0002,
339
+ "loss": 5.4645,
340
+ "step": 46
341
+ },
342
+ {
343
+ "epoch": 3.64,
344
+ "grad_norm": 16.93431854248047,
345
+ "learning_rate": 0.0002,
346
+ "loss": 5.7863,
347
+ "step": 47
348
+ },
349
+ {
350
+ "epoch": 3.7199999999999998,
351
+ "grad_norm": 10.554439544677734,
352
+ "learning_rate": 0.0002,
353
+ "loss": 6.1658,
354
+ "step": 48
355
+ },
356
+ {
357
+ "epoch": 3.7199999999999998,
358
+ "step": 48,
359
+ "total_flos": 180716776957944.0,
360
+ "train_loss": 6.281136025985082,
361
+ "train_runtime": 1764.029,
362
+ "train_samples_per_second": 0.907,
363
+ "train_steps_per_second": 0.027
364
+ }
365
+ ],
366
+ "logging_steps": 1.0,
367
+ "max_steps": 48,
368
+ "num_input_tokens_seen": 0,
369
+ "num_train_epochs": 4,
370
+ "save_steps": 500,
371
+ "stateful_callbacks": {
372
+ "TrainerControl": {
373
+ "args": {
374
+ "should_epoch_stop": false,
375
+ "should_evaluate": false,
376
+ "should_log": false,
377
+ "should_save": true,
378
+ "should_training_stop": true
379
+ },
380
+ "attributes": {}
381
+ }
382
+ },
383
+ "total_flos": 180716776957944.0,
384
+ "train_batch_size": 2,
385
+ "trial_name": null,
386
+ "trial_params": null
387
+ }