xiaosh9527
commited on
Commit
•
c267850
1
Parent(s):
68d1208
End of training
Browse files- README.md +3 -1
- trainer_state.json +216 -48
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: cc-by-nc-4.0
|
3 |
library_name: peft
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
base_model: facebook/musicgen-melody
|
7 |
model-index:
|
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# musicgen-melody-lora-techno-nan-colab
|
16 |
|
17 |
-
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on
|
18 |
|
19 |
## Model description
|
20 |
|
|
|
2 |
license: cc-by-nc-4.0
|
3 |
library_name: peft
|
4 |
tags:
|
5 |
+
- text-to-audio
|
6 |
+
- techno_nan
|
7 |
- generated_from_trainer
|
8 |
base_model: facebook/musicgen-melody
|
9 |
model-index:
|
|
|
16 |
|
17 |
# musicgen-melody-lora-techno-nan-colab
|
18 |
|
19 |
+
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the xiaosh9527/nan_music dataset.
|
20 |
|
21 |
## Model description
|
22 |
|
trainer_state.json
CHANGED
@@ -1,111 +1,279 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.32,
|
13 |
-
"grad_norm": 0.
|
14 |
-
"learning_rate":
|
15 |
-
"loss":
|
16 |
"step": 2
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.64,
|
20 |
-
"grad_norm":
|
21 |
-
"learning_rate":
|
22 |
-
"loss":
|
23 |
"step": 4
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.96,
|
27 |
-
"grad_norm":
|
28 |
-
"learning_rate":
|
29 |
-
"loss":
|
30 |
"step": 6
|
31 |
},
|
32 |
{
|
33 |
"epoch": 1.28,
|
34 |
-
"grad_norm":
|
35 |
-
"learning_rate":
|
36 |
-
"loss":
|
37 |
"step": 8
|
38 |
},
|
39 |
{
|
40 |
"epoch": 1.6,
|
41 |
-
"grad_norm":
|
42 |
-
"learning_rate":
|
43 |
-
"loss":
|
44 |
"step": 10
|
45 |
},
|
46 |
{
|
47 |
"epoch": 1.92,
|
48 |
-
"grad_norm":
|
49 |
-
"learning_rate":
|
50 |
-
"loss":
|
51 |
"step": 12
|
52 |
},
|
53 |
{
|
54 |
"epoch": 2.24,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss":
|
58 |
"step": 14
|
59 |
},
|
60 |
{
|
61 |
"epoch": 2.56,
|
62 |
-
"grad_norm":
|
63 |
-
"learning_rate":
|
64 |
-
"loss":
|
65 |
"step": 16
|
66 |
},
|
67 |
{
|
68 |
"epoch": 2.88,
|
69 |
-
"grad_norm": 0.
|
70 |
-
"learning_rate":
|
71 |
-
"loss":
|
72 |
"step": 18
|
73 |
},
|
74 |
{
|
75 |
"epoch": 3.2,
|
76 |
-
"grad_norm": 0.
|
77 |
-
"learning_rate":
|
78 |
-
"loss":
|
79 |
"step": 20
|
80 |
},
|
81 |
{
|
82 |
"epoch": 3.52,
|
83 |
-
"grad_norm": 0.
|
84 |
-
"learning_rate":
|
85 |
-
"loss":
|
86 |
"step": 22
|
87 |
},
|
88 |
{
|
89 |
"epoch": 3.84,
|
90 |
-
"grad_norm": 0.
|
91 |
-
"learning_rate": 0.
|
92 |
-
"loss":
|
93 |
"step": 24
|
94 |
},
|
95 |
{
|
96 |
-
"epoch":
|
97 |
-
"
|
98 |
-
"
|
99 |
-
"
|
100 |
-
"
|
101 |
-
|
102 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
103 |
}
|
104 |
],
|
105 |
"logging_steps": 2,
|
106 |
-
"max_steps":
|
107 |
"num_input_tokens_seen": 0,
|
108 |
-
"num_train_epochs":
|
109 |
"save_steps": 500,
|
110 |
"stateful_callbacks": {
|
111 |
"TrainerControl": {
|
@@ -119,7 +287,7 @@
|
|
119 |
"attributes": {}
|
120 |
}
|
121 |
},
|
122 |
-
"total_flos":
|
123 |
"train_batch_size": 2,
|
124 |
"trial_name": null,
|
125 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 11.52,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 72,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.32,
|
13 |
+
"grad_norm": 0.9926958680152893,
|
14 |
+
"learning_rate": 0.00019444444444444446,
|
15 |
+
"loss": 9.5849,
|
16 |
"step": 2
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.64,
|
20 |
+
"grad_norm": 1.7527631521224976,
|
21 |
+
"learning_rate": 0.00018888888888888888,
|
22 |
+
"loss": 9.1705,
|
23 |
"step": 4
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.96,
|
27 |
+
"grad_norm": 2.0137224197387695,
|
28 |
+
"learning_rate": 0.00018333333333333334,
|
29 |
+
"loss": 8.4125,
|
30 |
"step": 6
|
31 |
},
|
32 |
{
|
33 |
"epoch": 1.28,
|
34 |
+
"grad_norm": 1.948047399520874,
|
35 |
+
"learning_rate": 0.00017777777777777779,
|
36 |
+
"loss": 7.9081,
|
37 |
"step": 8
|
38 |
},
|
39 |
{
|
40 |
"epoch": 1.6,
|
41 |
+
"grad_norm": 1.1467063426971436,
|
42 |
+
"learning_rate": 0.00017222222222222224,
|
43 |
+
"loss": 7.6057,
|
44 |
"step": 10
|
45 |
},
|
46 |
{
|
47 |
"epoch": 1.92,
|
48 |
+
"grad_norm": 1.0256859064102173,
|
49 |
+
"learning_rate": 0.0001666666666666667,
|
50 |
+
"loss": 7.4069,
|
51 |
"step": 12
|
52 |
},
|
53 |
{
|
54 |
"epoch": 2.24,
|
55 |
+
"grad_norm": 1.2744684219360352,
|
56 |
+
"learning_rate": 0.0001611111111111111,
|
57 |
+
"loss": 7.3171,
|
58 |
"step": 14
|
59 |
},
|
60 |
{
|
61 |
"epoch": 2.56,
|
62 |
+
"grad_norm": 1.0262680053710938,
|
63 |
+
"learning_rate": 0.00015555555555555556,
|
64 |
+
"loss": 7.2517,
|
65 |
"step": 16
|
66 |
},
|
67 |
{
|
68 |
"epoch": 2.88,
|
69 |
+
"grad_norm": 0.5943800210952759,
|
70 |
+
"learning_rate": 0.00015000000000000001,
|
71 |
+
"loss": 7.1989,
|
72 |
"step": 18
|
73 |
},
|
74 |
{
|
75 |
"epoch": 3.2,
|
76 |
+
"grad_norm": 0.7326172590255737,
|
77 |
+
"learning_rate": 0.00014444444444444444,
|
78 |
+
"loss": 7.1975,
|
79 |
"step": 20
|
80 |
},
|
81 |
{
|
82 |
"epoch": 3.52,
|
83 |
+
"grad_norm": 0.5042484998703003,
|
84 |
+
"learning_rate": 0.0001388888888888889,
|
85 |
+
"loss": 7.1582,
|
86 |
"step": 22
|
87 |
},
|
88 |
{
|
89 |
"epoch": 3.84,
|
90 |
+
"grad_norm": 0.512372612953186,
|
91 |
+
"learning_rate": 0.00013333333333333334,
|
92 |
+
"loss": 7.1793,
|
93 |
"step": 24
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 4.16,
|
97 |
+
"grad_norm": 0.5498717427253723,
|
98 |
+
"learning_rate": 0.00012777777777777776,
|
99 |
+
"loss": 7.1182,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 4.48,
|
104 |
+
"grad_norm": 0.5042092800140381,
|
105 |
+
"learning_rate": 0.00012222222222222224,
|
106 |
+
"loss": 7.1492,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 4.8,
|
111 |
+
"grad_norm": 0.4820415675640106,
|
112 |
+
"learning_rate": 0.00011666666666666668,
|
113 |
+
"loss": 7.0726,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 5.12,
|
118 |
+
"grad_norm": 0.5835886597633362,
|
119 |
+
"learning_rate": 0.00011111111111111112,
|
120 |
+
"loss": 7.1349,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 5.44,
|
125 |
+
"grad_norm": 0.35386550426483154,
|
126 |
+
"learning_rate": 0.00010555555555555557,
|
127 |
+
"loss": 7.0469,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 5.76,
|
132 |
+
"grad_norm": 0.5533877015113831,
|
133 |
+
"learning_rate": 0.0001,
|
134 |
+
"loss": 7.0824,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 6.08,
|
139 |
+
"grad_norm": 0.6554893851280212,
|
140 |
+
"learning_rate": 9.444444444444444e-05,
|
141 |
+
"loss": 7.0484,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 6.4,
|
146 |
+
"grad_norm": 0.3372606337070465,
|
147 |
+
"learning_rate": 8.888888888888889e-05,
|
148 |
+
"loss": 7.0252,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 6.72,
|
153 |
+
"grad_norm": 0.299753338098526,
|
154 |
+
"learning_rate": 8.333333333333334e-05,
|
155 |
+
"loss": 7.0648,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 7.04,
|
160 |
+
"grad_norm": 0.35728025436401367,
|
161 |
+
"learning_rate": 7.777777777777778e-05,
|
162 |
+
"loss": 7.1132,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 7.36,
|
167 |
+
"grad_norm": 0.29526084661483765,
|
168 |
+
"learning_rate": 7.222222222222222e-05,
|
169 |
+
"loss": 7.0196,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 7.68,
|
174 |
+
"grad_norm": 0.42963483929634094,
|
175 |
+
"learning_rate": 6.666666666666667e-05,
|
176 |
+
"loss": 7.0818,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 8.0,
|
181 |
+
"grad_norm": 0.2951211929321289,
|
182 |
+
"learning_rate": 6.111111111111112e-05,
|
183 |
+
"loss": 7.0431,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 8.32,
|
188 |
+
"grad_norm": 0.4070325791835785,
|
189 |
+
"learning_rate": 5.555555555555556e-05,
|
190 |
+
"loss": 6.9709,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 8.64,
|
195 |
+
"grad_norm": 0.2796075642108917,
|
196 |
+
"learning_rate": 5e-05,
|
197 |
+
"loss": 7.0826,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 8.96,
|
202 |
+
"grad_norm": 0.37583762407302856,
|
203 |
+
"learning_rate": 4.4444444444444447e-05,
|
204 |
+
"loss": 7.0513,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 9.28,
|
209 |
+
"grad_norm": 0.4634278416633606,
|
210 |
+
"learning_rate": 3.888888888888889e-05,
|
211 |
+
"loss": 7.0616,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 9.6,
|
216 |
+
"grad_norm": 0.45491114258766174,
|
217 |
+
"learning_rate": 3.3333333333333335e-05,
|
218 |
+
"loss": 7.0114,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 9.92,
|
223 |
+
"grad_norm": 0.5008836388587952,
|
224 |
+
"learning_rate": 2.777777777777778e-05,
|
225 |
+
"loss": 7.058,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 10.24,
|
230 |
+
"grad_norm": 0.2694868743419647,
|
231 |
+
"learning_rate": 2.2222222222222223e-05,
|
232 |
+
"loss": 6.9724,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 10.56,
|
237 |
+
"grad_norm": 0.2757045030593872,
|
238 |
+
"learning_rate": 1.6666666666666667e-05,
|
239 |
+
"loss": 7.0447,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 10.88,
|
244 |
+
"grad_norm": 0.336161732673645,
|
245 |
+
"learning_rate": 1.1111111111111112e-05,
|
246 |
+
"loss": 7.032,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 11.2,
|
251 |
+
"grad_norm": 0.2434120923280716,
|
252 |
+
"learning_rate": 5.555555555555556e-06,
|
253 |
+
"loss": 7.0543,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 11.52,
|
258 |
+
"grad_norm": 0.37180185317993164,
|
259 |
+
"learning_rate": 0.0,
|
260 |
+
"loss": 7.038,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 11.52,
|
265 |
+
"step": 72,
|
266 |
+
"total_flos": 279672397179648.0,
|
267 |
+
"train_loss": 7.299143155415853,
|
268 |
+
"train_runtime": 353.7388,
|
269 |
+
"train_samples_per_second": 3.392,
|
270 |
+
"train_steps_per_second": 0.204
|
271 |
}
|
272 |
],
|
273 |
"logging_steps": 2,
|
274 |
+
"max_steps": 72,
|
275 |
"num_input_tokens_seen": 0,
|
276 |
+
"num_train_epochs": 12,
|
277 |
"save_steps": 500,
|
278 |
"stateful_callbacks": {
|
279 |
"TrainerControl": {
|
|
|
287 |
"attributes": {}
|
288 |
}
|
289 |
},
|
290 |
+
"total_flos": 279672397179648.0,
|
291 |
"train_batch_size": 2,
|
292 |
"trial_name": null,
|
293 |
"trial_params": null
|