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ft-wav2vec2-with-minds

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  1. README.md +53 -55
  2. config.json +17 -17
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
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  ---
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- license: apache-2.0
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- base_model: facebook/wav2vec2-large
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ft-wav2vec2-with-minds
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- This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0745
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- - Accuracy: 0.9831
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  ## Model description
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@@ -53,56 +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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- | 2.0829 | 1.0 | 9 | 2.0836 | 0.1190 |
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- | 2.0644 | 2.0 | 18 | 2.0496 | 0.2193 |
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- | 2.0134 | 3.0 | 27 | 1.9333 | 0.3271 |
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- | 1.8594 | 4.0 | 36 | 1.7685 | 0.3355 |
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- | 1.5758 | 5.0 | 45 | 1.5108 | 0.4639 |
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- | 1.4258 | 6.0 | 54 | 1.1814 | 0.6279 |
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- | 1.1865 | 7.0 | 63 | 0.9638 | 0.7085 |
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- | 0.94 | 8.0 | 72 | 0.8248 | 0.7751 |
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- | 0.9283 | 9.0 | 81 | 0.7233 | 0.7957 |
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- | 0.7928 | 10.0 | 90 | 0.5688 | 0.8500 |
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- | 0.6884 | 11.0 | 99 | 0.5577 | 0.8425 |
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- | 0.6365 | 12.0 | 108 | 0.4489 | 0.8866 |
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- | 0.5092 | 13.0 | 117 | 0.3870 | 0.8950 |
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- | 0.4814 | 14.0 | 126 | 0.3537 | 0.9025 |
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- | 0.4237 | 15.0 | 135 | 0.3239 | 0.9053 |
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- | 0.43 | 16.0 | 144 | 0.3178 | 0.9166 |
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- | 0.4009 | 17.0 | 153 | 0.2622 | 0.9325 |
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- | 0.3814 | 18.0 | 162 | 0.2809 | 0.9297 |
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- | 0.3241 | 19.0 | 171 | 0.2115 | 0.9447 |
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- | 0.2798 | 20.0 | 180 | 0.1946 | 0.9531 |
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- | 0.2727 | 21.0 | 189 | 0.2001 | 0.9428 |
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- | 0.2928 | 22.0 | 198 | 0.2037 | 0.9419 |
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- | 0.2501 | 23.0 | 207 | 0.1666 | 0.9588 |
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- | 0.2451 | 24.0 | 216 | 0.1626 | 0.9588 |
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- | 0.2322 | 25.0 | 225 | 0.1594 | 0.9550 |
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- | 0.244 | 26.0 | 234 | 0.1564 | 0.9578 |
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- | 0.2456 | 27.0 | 243 | 0.1279 | 0.9634 |
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- | 0.1858 | 28.0 | 252 | 0.1227 | 0.9672 |
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- | 0.1755 | 29.0 | 261 | 0.1107 | 0.9747 |
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- | 0.1687 | 30.0 | 270 | 0.1224 | 0.9653 |
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- | 0.1569 | 31.0 | 279 | 0.1243 | 0.9681 |
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- | 0.1744 | 32.0 | 288 | 0.1212 | 0.9653 |
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- | 0.1563 | 33.0 | 297 | 0.1248 | 0.9747 |
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- | 0.162 | 34.0 | 306 | 0.1138 | 0.9681 |
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- | 0.155 | 35.0 | 315 | 0.1082 | 0.9728 |
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- | 0.1655 | 36.0 | 324 | 0.1047 | 0.9756 |
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- | 0.1531 | 37.0 | 333 | 0.1031 | 0.9738 |
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- | 0.1216 | 38.0 | 342 | 0.1079 | 0.9747 |
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- | 0.1198 | 39.0 | 351 | 0.0901 | 0.9766 |
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- | 0.1183 | 40.0 | 360 | 0.0939 | 0.9738 |
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- | 0.2248 | 41.0 | 369 | 0.0967 | 0.9747 |
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- | 0.1176 | 42.0 | 378 | 0.0854 | 0.9803 |
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- | 0.1271 | 43.0 | 387 | 0.0840 | 0.9813 |
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- | 0.1387 | 44.0 | 396 | 0.0901 | 0.9784 |
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- | 0.0976 | 45.0 | 405 | 0.0915 | 0.9822 |
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- | 0.1407 | 46.0 | 414 | 0.0893 | 0.9803 |
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- | 0.1148 | 47.0 | 423 | 0.0819 | 0.9784 |
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- | 0.1334 | 48.0 | 432 | 0.0779 | 0.9794 |
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- | 0.117 | 49.0 | 441 | 0.0765 | 0.9813 |
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- | 0.1083 | 50.0 | 450 | 0.0745 | 0.9831 |
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # ft-wav2vec2-with-minds
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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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  | 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
config.json CHANGED
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  {
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- "_name_or_path": "facebook/wav2vec2-large",
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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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- "7": "down"
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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- "no": "4",
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- "right": "0",
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- "stop": "2",
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- "up": "5",
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- "yes": "6"
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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/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,
 
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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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