Commit
•
8a518e4
1
Parent(s):
dc39050
End of training
Browse files- README.md +3 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +497 -0
README.md
CHANGED
|
@@ -3,6 +3,8 @@ library_name: peft
|
|
| 3 |
license: cc-by-nc-4.0
|
| 4 |
base_model: facebook/musicgen-melody
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
model-index:
|
| 8 |
- name: musicgen-POPMUSIC1981-melody
|
|
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# musicgen-POPMUSIC1981-melody
|
| 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 |
|
|
|
|
| 3 |
license: cc-by-nc-4.0
|
| 4 |
base_model: facebook/musicgen-melody
|
| 5 |
tags:
|
| 6 |
+
- text-to-audio
|
| 7 |
+
- memepottaboah/POPMUSIC1981
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: musicgen-POPMUSIC1981-melody
|
|
|
|
| 16 |
|
| 17 |
# musicgen-POPMUSIC1981-melody
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [facebook/musicgen-melody](https://huggingface.co/facebook/musicgen-melody) on the MEMEPOTTABOAH/POPMUSIC1981 - DEFAULT dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.6716417910447765,
|
| 3 |
+
"total_flos": 46267156615872.0,
|
| 4 |
+
"train_loss": 7.157758657748882,
|
| 5 |
+
"train_runtime": 2311.3066,
|
| 6 |
+
"train_samples": 268,
|
| 7 |
+
"train_samples_per_second": 0.58,
|
| 8 |
+
"train_steps_per_second": 0.028
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.6716417910447765,
|
| 3 |
+
"total_flos": 46267156615872.0,
|
| 4 |
+
"train_loss": 7.157758657748882,
|
| 5 |
+
"train_runtime": 2311.3066,
|
| 6 |
+
"train_samples": 268,
|
| 7 |
+
"train_samples_per_second": 0.58,
|
| 8 |
+
"train_steps_per_second": 0.028
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,497 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.6716417910447765,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 65,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.07462686567164178,
|
| 13 |
+
"grad_norm": 11.831602096557617,
|
| 14 |
+
"learning_rate": 0.00019692307692307696,
|
| 15 |
+
"loss": 9.5753,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.14925373134328357,
|
| 20 |
+
"grad_norm": 10.040313720703125,
|
| 21 |
+
"learning_rate": 0.00019384615384615385,
|
| 22 |
+
"loss": 9.3879,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.22388059701492538,
|
| 27 |
+
"grad_norm": 11.504229545593262,
|
| 28 |
+
"learning_rate": 0.0001907692307692308,
|
| 29 |
+
"loss": 9.2222,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.29850746268656714,
|
| 34 |
+
"grad_norm": 13.777145385742188,
|
| 35 |
+
"learning_rate": 0.0001876923076923077,
|
| 36 |
+
"loss": 9.0187,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.373134328358209,
|
| 41 |
+
"grad_norm": 16.53196907043457,
|
| 42 |
+
"learning_rate": 0.00018461538461538463,
|
| 43 |
+
"loss": 8.8251,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.44776119402985076,
|
| 48 |
+
"grad_norm": 23.02943229675293,
|
| 49 |
+
"learning_rate": 0.00018153846153846155,
|
| 50 |
+
"loss": 8.4652,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.5223880597014925,
|
| 55 |
+
"grad_norm": 20.641206741333008,
|
| 56 |
+
"learning_rate": 0.00017846153846153847,
|
| 57 |
+
"loss": 8.1413,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.5970149253731343,
|
| 62 |
+
"grad_norm": 16.40256690979004,
|
| 63 |
+
"learning_rate": 0.0001753846153846154,
|
| 64 |
+
"loss": 7.9036,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.6716417910447762,
|
| 69 |
+
"grad_norm": 19.79137420654297,
|
| 70 |
+
"learning_rate": 0.00017230769230769234,
|
| 71 |
+
"loss": 7.8958,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.746268656716418,
|
| 76 |
+
"grad_norm": 10.174325942993164,
|
| 77 |
+
"learning_rate": 0.00016923076923076923,
|
| 78 |
+
"loss": 7.6606,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.8208955223880597,
|
| 83 |
+
"grad_norm": 11.052704811096191,
|
| 84 |
+
"learning_rate": 0.00016615384615384617,
|
| 85 |
+
"loss": 7.6561,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.8955223880597015,
|
| 90 |
+
"grad_norm": 12.233122825622559,
|
| 91 |
+
"learning_rate": 0.0001630769230769231,
|
| 92 |
+
"loss": 7.5328,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.9701492537313433,
|
| 97 |
+
"grad_norm": 10.275497436523438,
|
| 98 |
+
"learning_rate": 0.00016,
|
| 99 |
+
"loss": 7.4978,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 1.0,
|
| 104 |
+
"grad_norm": 7.3966779708862305,
|
| 105 |
+
"learning_rate": 0.00015692307692307693,
|
| 106 |
+
"loss": 3.0154,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 1.0746268656716418,
|
| 111 |
+
"grad_norm": 13.597101211547852,
|
| 112 |
+
"learning_rate": 0.00015384615384615385,
|
| 113 |
+
"loss": 7.3022,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 1.1492537313432836,
|
| 118 |
+
"grad_norm": 12.541572570800781,
|
| 119 |
+
"learning_rate": 0.00015076923076923077,
|
| 120 |
+
"loss": 7.4243,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.2238805970149254,
|
| 125 |
+
"grad_norm": 7.609414577484131,
|
| 126 |
+
"learning_rate": 0.00014769230769230772,
|
| 127 |
+
"loss": 7.3352,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.2985074626865671,
|
| 132 |
+
"grad_norm": 8.79019546508789,
|
| 133 |
+
"learning_rate": 0.0001446153846153846,
|
| 134 |
+
"loss": 7.3403,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 1.373134328358209,
|
| 139 |
+
"grad_norm": 7.513161659240723,
|
| 140 |
+
"learning_rate": 0.00014153846153846156,
|
| 141 |
+
"loss": 7.3048,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.4477611940298507,
|
| 146 |
+
"grad_norm": Infinity,
|
| 147 |
+
"learning_rate": 0.00014153846153846156,
|
| 148 |
+
"loss": 7.3934,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.5223880597014925,
|
| 153 |
+
"grad_norm": 11.386406898498535,
|
| 154 |
+
"learning_rate": 0.00013846153846153847,
|
| 155 |
+
"loss": 7.2708,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.5970149253731343,
|
| 160 |
+
"grad_norm": NaN,
|
| 161 |
+
"learning_rate": 0.00013846153846153847,
|
| 162 |
+
"loss": 7.2549,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.671641791044776,
|
| 167 |
+
"grad_norm": 9.923229217529297,
|
| 168 |
+
"learning_rate": 0.0001353846153846154,
|
| 169 |
+
"loss": 7.3161,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.7462686567164178,
|
| 174 |
+
"grad_norm": 7.624272346496582,
|
| 175 |
+
"learning_rate": 0.0001323076923076923,
|
| 176 |
+
"loss": 7.2844,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.8208955223880596,
|
| 181 |
+
"grad_norm": 6.796629905700684,
|
| 182 |
+
"learning_rate": 0.00012923076923076923,
|
| 183 |
+
"loss": 7.2594,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.8955223880597014,
|
| 188 |
+
"grad_norm": 5.520105838775635,
|
| 189 |
+
"learning_rate": 0.00012615384615384615,
|
| 190 |
+
"loss": 7.2639,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.9701492537313432,
|
| 195 |
+
"grad_norm": 5.706660270690918,
|
| 196 |
+
"learning_rate": 0.0001230769230769231,
|
| 197 |
+
"loss": 7.2271,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 2.0,
|
| 202 |
+
"grad_norm": 4.667247295379639,
|
| 203 |
+
"learning_rate": 0.00012,
|
| 204 |
+
"loss": 2.942,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 2.074626865671642,
|
| 209 |
+
"grad_norm": 8.385282516479492,
|
| 210 |
+
"learning_rate": 0.00011692307692307694,
|
| 211 |
+
"loss": 7.1126,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 2.1492537313432836,
|
| 216 |
+
"grad_norm": 4.17704963684082,
|
| 217 |
+
"learning_rate": 0.00011384615384615384,
|
| 218 |
+
"loss": 7.2177,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 2.2238805970149254,
|
| 223 |
+
"grad_norm": 7.29147481918335,
|
| 224 |
+
"learning_rate": 0.00011076923076923077,
|
| 225 |
+
"loss": 7.2731,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 2.298507462686567,
|
| 230 |
+
"grad_norm": 5.086247444152832,
|
| 231 |
+
"learning_rate": 0.0001076923076923077,
|
| 232 |
+
"loss": 7.1494,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 2.373134328358209,
|
| 237 |
+
"grad_norm": 4.92710542678833,
|
| 238 |
+
"learning_rate": 0.00010461538461538463,
|
| 239 |
+
"loss": 7.1479,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 2.4477611940298507,
|
| 244 |
+
"grad_norm": 5.310170650482178,
|
| 245 |
+
"learning_rate": 0.00010153846153846153,
|
| 246 |
+
"loss": 7.1172,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 2.5223880597014925,
|
| 251 |
+
"grad_norm": 5.681138515472412,
|
| 252 |
+
"learning_rate": 9.846153846153848e-05,
|
| 253 |
+
"loss": 7.1665,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 2.5970149253731343,
|
| 258 |
+
"grad_norm": 6.48416805267334,
|
| 259 |
+
"learning_rate": 9.53846153846154e-05,
|
| 260 |
+
"loss": 7.229,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 2.671641791044776,
|
| 265 |
+
"grad_norm": 7.22155237197876,
|
| 266 |
+
"learning_rate": 9.230769230769232e-05,
|
| 267 |
+
"loss": 7.2443,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 2.746268656716418,
|
| 272 |
+
"grad_norm": 5.244325160980225,
|
| 273 |
+
"learning_rate": 8.923076923076924e-05,
|
| 274 |
+
"loss": 7.1864,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 2.8208955223880596,
|
| 279 |
+
"grad_norm": 6.491042613983154,
|
| 280 |
+
"learning_rate": 8.615384615384617e-05,
|
| 281 |
+
"loss": 7.1403,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.8955223880597014,
|
| 286 |
+
"grad_norm": 4.748079299926758,
|
| 287 |
+
"learning_rate": 8.307692307692309e-05,
|
| 288 |
+
"loss": 7.2464,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.970149253731343,
|
| 293 |
+
"grad_norm": 4.683705806732178,
|
| 294 |
+
"learning_rate": 8e-05,
|
| 295 |
+
"loss": 7.1566,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 3.0,
|
| 300 |
+
"grad_norm": 8.315367698669434,
|
| 301 |
+
"learning_rate": 7.692307692307693e-05,
|
| 302 |
+
"loss": 2.7335,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 3.074626865671642,
|
| 307 |
+
"grad_norm": 8.71499252319336,
|
| 308 |
+
"learning_rate": 7.384615384615386e-05,
|
| 309 |
+
"loss": 7.0353,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 3.1492537313432836,
|
| 314 |
+
"grad_norm": 4.421390056610107,
|
| 315 |
+
"learning_rate": 7.076923076923078e-05,
|
| 316 |
+
"loss": 7.1684,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 3.2238805970149254,
|
| 321 |
+
"grad_norm": 4.962438106536865,
|
| 322 |
+
"learning_rate": 6.76923076923077e-05,
|
| 323 |
+
"loss": 7.0518,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 3.298507462686567,
|
| 328 |
+
"grad_norm": 4.061994552612305,
|
| 329 |
+
"learning_rate": 6.461538461538462e-05,
|
| 330 |
+
"loss": 7.0753,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 3.373134328358209,
|
| 335 |
+
"grad_norm": 10.23737621307373,
|
| 336 |
+
"learning_rate": 6.153846153846155e-05,
|
| 337 |
+
"loss": 7.2593,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 3.4477611940298507,
|
| 342 |
+
"grad_norm": 5.402864456176758,
|
| 343 |
+
"learning_rate": 5.846153846153847e-05,
|
| 344 |
+
"loss": 7.1255,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 3.5223880597014925,
|
| 349 |
+
"grad_norm": 7.442513465881348,
|
| 350 |
+
"learning_rate": 5.538461538461539e-05,
|
| 351 |
+
"loss": 6.9086,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 3.5970149253731343,
|
| 356 |
+
"grad_norm": 12.119452476501465,
|
| 357 |
+
"learning_rate": 5.230769230769231e-05,
|
| 358 |
+
"loss": 7.2655,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 3.671641791044776,
|
| 363 |
+
"grad_norm": 4.1253156661987305,
|
| 364 |
+
"learning_rate": 4.923076923076924e-05,
|
| 365 |
+
"loss": 7.129,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 3.746268656716418,
|
| 370 |
+
"grad_norm": 7.582332611083984,
|
| 371 |
+
"learning_rate": 4.615384615384616e-05,
|
| 372 |
+
"loss": 7.1866,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 3.8208955223880596,
|
| 377 |
+
"grad_norm": 9.213349342346191,
|
| 378 |
+
"learning_rate": 4.3076923076923084e-05,
|
| 379 |
+
"loss": 7.2262,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 3.8955223880597014,
|
| 384 |
+
"grad_norm": 4.230329513549805,
|
| 385 |
+
"learning_rate": 4e-05,
|
| 386 |
+
"loss": 7.0612,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 3.970149253731343,
|
| 391 |
+
"grad_norm": 3.959320545196533,
|
| 392 |
+
"learning_rate": 3.692307692307693e-05,
|
| 393 |
+
"loss": 7.095,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 4.0,
|
| 398 |
+
"grad_norm": 2.782017469406128,
|
| 399 |
+
"learning_rate": 3.384615384615385e-05,
|
| 400 |
+
"loss": 2.8985,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 4.074626865671641,
|
| 405 |
+
"grad_norm": 8.111074447631836,
|
| 406 |
+
"learning_rate": 3.0769230769230774e-05,
|
| 407 |
+
"loss": 7.0008,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 4.149253731343284,
|
| 412 |
+
"grad_norm": 3.9246532917022705,
|
| 413 |
+
"learning_rate": 2.7692307692307694e-05,
|
| 414 |
+
"loss": 7.1253,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 4.223880597014926,
|
| 419 |
+
"grad_norm": 11.857646942138672,
|
| 420 |
+
"learning_rate": 2.461538461538462e-05,
|
| 421 |
+
"loss": 6.9411,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 4.298507462686567,
|
| 426 |
+
"grad_norm": 2.8319931030273438,
|
| 427 |
+
"learning_rate": 2.1538461538461542e-05,
|
| 428 |
+
"loss": 7.1616,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 4.373134328358209,
|
| 433 |
+
"grad_norm": 3.061171293258667,
|
| 434 |
+
"learning_rate": 1.8461538461538465e-05,
|
| 435 |
+
"loss": 7.1291,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 4.447761194029851,
|
| 440 |
+
"grad_norm": 5.19327449798584,
|
| 441 |
+
"learning_rate": 1.5384615384615387e-05,
|
| 442 |
+
"loss": 7.1867,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 4.522388059701493,
|
| 447 |
+
"grad_norm": 3.0203020572662354,
|
| 448 |
+
"learning_rate": 1.230769230769231e-05,
|
| 449 |
+
"loss": 7.1364,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 4.597014925373134,
|
| 454 |
+
"grad_norm": 3.957735300064087,
|
| 455 |
+
"learning_rate": 9.230769230769232e-06,
|
| 456 |
+
"loss": 7.139,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 4.6716417910447765,
|
| 461 |
+
"grad_norm": 4.099056243896484,
|
| 462 |
+
"learning_rate": 6.153846153846155e-06,
|
| 463 |
+
"loss": 7.1104,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 4.6716417910447765,
|
| 468 |
+
"step": 65,
|
| 469 |
+
"total_flos": 46267156615872.0,
|
| 470 |
+
"train_loss": 7.157758657748882,
|
| 471 |
+
"train_runtime": 2311.3066,
|
| 472 |
+
"train_samples_per_second": 0.58,
|
| 473 |
+
"train_steps_per_second": 0.028
|
| 474 |
+
}
|
| 475 |
+
],
|
| 476 |
+
"logging_steps": 1.0,
|
| 477 |
+
"max_steps": 65,
|
| 478 |
+
"num_input_tokens_seen": 0,
|
| 479 |
+
"num_train_epochs": 5,
|
| 480 |
+
"save_steps": 500,
|
| 481 |
+
"stateful_callbacks": {
|
| 482 |
+
"TrainerControl": {
|
| 483 |
+
"args": {
|
| 484 |
+
"should_epoch_stop": false,
|
| 485 |
+
"should_evaluate": false,
|
| 486 |
+
"should_log": false,
|
| 487 |
+
"should_save": true,
|
| 488 |
+
"should_training_stop": true
|
| 489 |
+
},
|
| 490 |
+
"attributes": {}
|
| 491 |
+
}
|
| 492 |
+
},
|
| 493 |
+
"total_flos": 46267156615872.0,
|
| 494 |
+
"train_batch_size": 2,
|
| 495 |
+
"trial_name": null,
|
| 496 |
+
"trial_params": null
|
| 497 |
+
}
|