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ft-wav2vec2-with-minds

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  1. README.md +52 -52
  2. config.json +16 -16
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0732
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- - Accuracy: 0.9822
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  ## Model description
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@@ -53,56 +53,56 @@ 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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- | 2.0814 | 1.0 | 9 | 2.0883 | 0.1143 |
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- | 2.064 | 2.0 | 18 | 2.0619 | 0.1678 |
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- | 2.0232 | 3.0 | 27 | 1.9712 | 0.2709 |
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- | 1.861 | 4.0 | 36 | 1.7455 | 0.3880 |
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- | 1.6003 | 5.0 | 45 | 1.5115 | 0.4724 |
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- | 1.4972 | 6.0 | 54 | 1.2623 | 0.5998 |
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- | 1.2332 | 7.0 | 63 | 1.0138 | 0.6935 |
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- | 1.081 | 8.0 | 72 | 0.8169 | 0.7601 |
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- | 0.9925 | 9.0 | 81 | 0.7757 | 0.7873 |
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- | 0.8516 | 10.0 | 90 | 0.6470 | 0.8163 |
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- | 0.7544 | 11.0 | 99 | 0.7208 | 0.7873 |
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- | 0.7006 | 12.0 | 108 | 0.5074 | 0.8557 |
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- | 0.591 | 13.0 | 117 | 0.4326 | 0.8782 |
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- | 0.5155 | 14.0 | 126 | 0.3707 | 0.9053 |
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- | 0.4715 | 15.0 | 135 | 0.3116 | 0.9091 |
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- | 0.4461 | 16.0 | 144 | 0.3167 | 0.9138 |
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- | 0.445 | 17.0 | 153 | 0.2963 | 0.9250 |
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- | 0.3899 | 18.0 | 162 | 0.2499 | 0.9353 |
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- | 0.3656 | 19.0 | 171 | 0.2756 | 0.9194 |
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- | 0.3255 | 20.0 | 180 | 0.2280 | 0.9297 |
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- | 0.2756 | 21.0 | 189 | 0.2178 | 0.9438 |
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- | 0.3119 | 22.0 | 198 | 0.1858 | 0.9513 |
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- | 0.2595 | 23.0 | 207 | 0.1794 | 0.9475 |
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- | 0.2713 | 24.0 | 216 | 0.1737 | 0.9466 |
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- | 0.2336 | 25.0 | 225 | 0.1758 | 0.9531 |
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- | 0.2359 | 26.0 | 234 | 0.1690 | 0.9485 |
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- | 0.2229 | 27.0 | 243 | 0.1336 | 0.9606 |
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- | 0.2145 | 28.0 | 252 | 0.1338 | 0.9700 |
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- | 0.1986 | 29.0 | 261 | 0.1525 | 0.9625 |
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- | 0.1811 | 30.0 | 270 | 0.1415 | 0.9653 |
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- | 0.165 | 31.0 | 279 | 0.1208 | 0.9672 |
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- | 0.1755 | 32.0 | 288 | 0.1266 | 0.9634 |
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- | 0.175 | 33.0 | 297 | 0.1269 | 0.9672 |
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- | 0.149 | 34.0 | 306 | 0.1072 | 0.9728 |
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- | 0.1606 | 35.0 | 315 | 0.1183 | 0.9738 |
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- | 0.161 | 36.0 | 324 | 0.1009 | 0.9719 |
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- | 0.1533 | 37.0 | 333 | 0.1000 | 0.9728 |
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- | 0.1239 | 38.0 | 342 | 0.1109 | 0.9691 |
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- | 0.1353 | 39.0 | 351 | 0.0905 | 0.9775 |
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- | 0.1287 | 40.0 | 360 | 0.0920 | 0.9738 |
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- | 0.223 | 41.0 | 369 | 0.0855 | 0.9775 |
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- | 0.1302 | 42.0 | 378 | 0.0748 | 0.9794 |
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- | 0.1249 | 43.0 | 387 | 0.0732 | 0.9822 |
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- | 0.1552 | 44.0 | 396 | 0.0688 | 0.9822 |
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- | 0.098 | 45.0 | 405 | 0.0777 | 0.9766 |
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- | 0.1459 | 46.0 | 414 | 0.0634 | 0.9813 |
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- | 0.1267 | 47.0 | 423 | 0.0653 | 0.9822 |
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- | 0.149 | 48.0 | 432 | 0.0709 | 0.9794 |
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- | 0.1135 | 49.0 | 441 | 0.0660 | 0.9813 |
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- | 0.118 | 50.0 | 450 | 0.0652 | 0.9813 |
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  ### Framework versions
 
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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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  | 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
config.json CHANGED
@@ -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": "left",
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- "4": "right",
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- "5": "yes",
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- "6": "go",
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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": "6",
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- "left": "3",
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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": "5"
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  },
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  "layer_norm_eps": 1e-05,
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  "layerdrop": 0.1,
 
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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": "right",
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+ "1": "left",
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+ "2": "stop",
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+ "3": "go",
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+ "4": "no",
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+ "5": "up",
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+ "6": "yes",
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+ "7": "down"
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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": "7",
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+ "go": "3",
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+ "left": "1",
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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,
model.safetensors CHANGED
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training_args.bin CHANGED
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