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ft-wav2vec2-with-minds

Safetensors
wav2vec2
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ft-wav2vec2-with-minds

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  1. README.md +52 -52
  2. config.json +15 -15
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0167
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- - Accuracy: 0.9963
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  ## Model description
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@@ -51,56 +51,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 5.5293 | 1.0 | 9 | 5.5903 | 0.0216 |
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- | 4.2283 | 2.0 | 18 | 4.2919 | 0.1706 |
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- | 2.3901 | 3.0 | 27 | 1.7325 | 0.4930 |
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- | 1.0613 | 4.0 | 36 | 0.4948 | 0.8510 |
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- | 0.5218 | 5.0 | 45 | 0.3527 | 0.9231 |
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- | 0.3712 | 6.0 | 54 | 0.1527 | 0.9738 |
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- | 0.2466 | 7.0 | 63 | 0.1340 | 0.9747 |
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- | 0.1928 | 8.0 | 72 | 0.0736 | 0.9888 |
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- | 0.2418 | 9.0 | 81 | 0.0860 | 0.9831 |
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- | 0.2297 | 10.0 | 90 | 0.0907 | 0.9784 |
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- | 0.1802 | 11.0 | 99 | 0.0788 | 0.9822 |
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- | 0.2279 | 12.0 | 108 | 0.0679 | 0.9859 |
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- | 0.1271 | 13.0 | 117 | 0.0726 | 0.9850 |
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- | 0.1639 | 14.0 | 126 | 0.0569 | 0.9859 |
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- | 0.1215 | 15.0 | 135 | 0.0446 | 0.9897 |
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- | 0.139 | 16.0 | 144 | 0.0479 | 0.9906 |
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- | 0.1487 | 17.0 | 153 | 0.0456 | 0.9925 |
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- | 0.1113 | 18.0 | 162 | 0.0656 | 0.9841 |
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- | 0.1262 | 19.0 | 171 | 0.0395 | 0.9925 |
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- | 0.1059 | 20.0 | 180 | 0.0312 | 0.9925 |
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- | 0.0761 | 21.0 | 189 | 0.0364 | 0.9916 |
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- | 0.1062 | 22.0 | 198 | 0.0239 | 0.9953 |
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- | 0.0943 | 23.0 | 207 | 0.0384 | 0.9925 |
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- | 0.0845 | 24.0 | 216 | 0.0450 | 0.9916 |
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- | 0.0852 | 25.0 | 225 | 0.0229 | 0.9934 |
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- | 0.091 | 26.0 | 234 | 0.0307 | 0.9944 |
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- | 0.0877 | 27.0 | 243 | 0.0369 | 0.9916 |
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- | 0.086 | 28.0 | 252 | 0.0239 | 0.9944 |
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- | 0.0672 | 29.0 | 261 | 0.0172 | 0.9953 |
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- | 0.0679 | 30.0 | 270 | 0.0167 | 0.9963 |
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- | 0.0633 | 31.0 | 279 | 0.0234 | 0.9944 |
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- | 0.0596 | 32.0 | 288 | 0.0237 | 0.9953 |
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- | 0.0653 | 33.0 | 297 | 0.0225 | 0.9944 |
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- | 0.0519 | 34.0 | 306 | 0.0189 | 0.9963 |
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- | 0.0649 | 35.0 | 315 | 0.0186 | 0.9963 |
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- | 0.0662 | 36.0 | 324 | 0.0187 | 0.9963 |
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- | 0.0576 | 37.0 | 333 | 0.0185 | 0.9963 |
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- | 0.0473 | 38.0 | 342 | 0.0188 | 0.9963 |
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- | 0.0585 | 39.0 | 351 | 0.0165 | 0.9963 |
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- | 0.0526 | 40.0 | 360 | 0.0200 | 0.9934 |
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- | 0.1347 | 41.0 | 369 | 0.0211 | 0.9953 |
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- | 0.0439 | 42.0 | 378 | 0.0151 | 0.9963 |
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- | 0.0467 | 43.0 | 387 | 0.0144 | 0.9963 |
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- | 0.0558 | 44.0 | 396 | 0.0168 | 0.9963 |
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- | 0.042 | 45.0 | 405 | 0.0199 | 0.9963 |
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- | 0.0672 | 46.0 | 414 | 0.0164 | 0.9963 |
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- | 0.0599 | 47.0 | 423 | 0.0149 | 0.9963 |
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- | 0.061 | 48.0 | 432 | 0.0136 | 0.9963 |
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- | 0.057 | 49.0 | 441 | 0.0140 | 0.9963 |
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- | 0.0497 | 50.0 | 450 | 0.0151 | 0.9963 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0119
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+ - Accuracy: 0.9972
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 5.1595 | 1.0 | 9 | 5.2504 | 0.1125 |
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+ | 3.706 | 2.0 | 18 | 1.7425 | 0.3261 |
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+ | 1.1096 | 3.0 | 27 | 0.5152 | 0.7985 |
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+ | 0.3567 | 4.0 | 36 | 0.1222 | 0.9728 |
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+ | 0.1645 | 5.0 | 45 | 0.0988 | 0.9850 |
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+ | 0.1539 | 6.0 | 54 | 0.0696 | 0.9878 |
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+ | 0.1329 | 7.0 | 63 | 0.0783 | 0.9831 |
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+ | 0.1023 | 8.0 | 72 | 0.0833 | 0.9841 |
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+ | 0.1923 | 9.0 | 81 | 0.0733 | 0.9775 |
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+ | 0.108 | 10.0 | 90 | 0.0294 | 0.9934 |
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+ | 0.0884 | 11.0 | 99 | 0.0331 | 0.9897 |
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+ | 0.1745 | 12.0 | 108 | 0.0288 | 0.9944 |
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+ | 0.0793 | 13.0 | 117 | 0.0545 | 0.9869 |
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+ | 0.0823 | 14.0 | 126 | 0.0551 | 0.9850 |
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+ | 0.0857 | 15.0 | 135 | 0.0401 | 0.9925 |
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+ | 0.0738 | 16.0 | 144 | 0.0329 | 0.9906 |
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+ | 0.0905 | 17.0 | 153 | 0.0324 | 0.9878 |
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+ | 0.1049 | 18.0 | 162 | 0.0379 | 0.9925 |
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+ | 0.0775 | 19.0 | 171 | 0.0410 | 0.9906 |
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+ | 0.07 | 20.0 | 180 | 0.0315 | 0.9925 |
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+ | 0.0519 | 21.0 | 189 | 0.0361 | 0.9897 |
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+ | 0.0679 | 22.0 | 198 | 0.0470 | 0.9878 |
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+ | 0.0771 | 23.0 | 207 | 0.0258 | 0.9934 |
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+ | 0.0588 | 24.0 | 216 | 0.0322 | 0.9934 |
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+ | 0.0566 | 25.0 | 225 | 0.0251 | 0.9906 |
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+ | 0.0665 | 26.0 | 234 | 0.0162 | 0.9963 |
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+ | 0.06 | 27.0 | 243 | 0.0178 | 0.9953 |
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+ | 0.0462 | 28.0 | 252 | 0.0183 | 0.9944 |
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+ | 0.0527 | 29.0 | 261 | 0.0669 | 0.9831 |
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+ | 0.0378 | 30.0 | 270 | 0.0163 | 0.9953 |
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+ | 0.0418 | 31.0 | 279 | 0.0207 | 0.9963 |
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+ | 0.0335 | 32.0 | 288 | 0.0159 | 0.9953 |
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+ | 0.0447 | 33.0 | 297 | 0.0151 | 0.9963 |
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+ | 0.0455 | 34.0 | 306 | 0.0161 | 0.9953 |
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+ | 0.0368 | 35.0 | 315 | 0.0163 | 0.9944 |
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+ | 0.043 | 36.0 | 324 | 0.0136 | 0.9963 |
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+ | 0.0361 | 37.0 | 333 | 0.0181 | 0.9963 |
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+ | 0.0374 | 38.0 | 342 | 0.0149 | 0.9963 |
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+ | 0.0397 | 39.0 | 351 | 0.0119 | 0.9963 |
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+ | 0.0329 | 40.0 | 360 | 0.0164 | 0.9953 |
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+ | 0.0933 | 41.0 | 369 | 0.0119 | 0.9972 |
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+ | 0.0311 | 42.0 | 378 | 0.0144 | 0.9963 |
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+ | 0.0325 | 43.0 | 387 | 0.0131 | 0.9963 |
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+ | 0.0418 | 44.0 | 396 | 0.0207 | 0.9963 |
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+ | 0.0251 | 45.0 | 405 | 0.0178 | 0.9963 |
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+ | 0.0409 | 46.0 | 414 | 0.0149 | 0.9953 |
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+ | 0.0444 | 47.0 | 423 | 0.0155 | 0.9953 |
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+ | 0.0318 | 48.0 | 432 | 0.0169 | 0.9953 |
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+ | 0.0465 | 49.0 | 441 | 0.0171 | 0.9953 |
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+ | 0.0308 | 50.0 | 450 | 0.0173 | 0.9953 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "/notebooks/ZINDI/TechCabal/checkpoints/checkpoint-450",
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  "activation_dropout": 0.1,
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  "adapter_attn_dim": null,
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  "adapter_kernel_size": 3,
@@ -59,26 +59,26 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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- "0": "stop",
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- "1": "down",
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- "2": "no",
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- "3": "yes",
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- "4": "right",
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- "5": "go",
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  "6": "left",
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- "7": "up"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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- "down": "1",
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- "go": "5",
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  "left": "6",
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- "no": "2",
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- "right": "4",
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- "stop": "0",
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- "up": "7",
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- "yes": "3"
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.1,
 
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  {
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+ "_name_or_path": "/notebooks/ZINDI/TechCabal/cp/checkpoint-270",
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  "activation_dropout": 0.1,
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  "adapter_attn_dim": null,
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  "adapter_kernel_size": 3,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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+ "0": "yes",
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+ "1": "right",
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+ "2": "up",
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+ "3": "stop",
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+ "4": "down",
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+ "5": "no",
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  "6": "left",
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+ "7": "go"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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+ "down": "4",
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+ "go": "7",
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  "left": "6",
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+ "no": "5",
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+ "right": "1",
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+ "stop": "3",
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+ "up": "2",
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+ "yes": "0"
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.1,
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