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muk-luganda-digits-classification-clean

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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3282
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- - Accuracy: 0.1111
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 4
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  - eval_batch_size: 1
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  - seed: 42
@@ -51,26 +51,26 @@ 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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- | 2.3129 | 1.0 | 54 | 2.3065 | 0.1111 |
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- | 2.3254 | 2.0 | 108 | 2.3225 | 0.1481 |
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- | 2.3307 | 3.0 | 162 | 2.3135 | 0.1481 |
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- | 2.3181 | 4.0 | 216 | 2.3313 | 0.1111 |
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- | 2.314 | 5.0 | 270 | 2.3228 | 0.1111 |
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- | 2.3103 | 6.0 | 324 | 2.3192 | 0.1111 |
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- | 2.3126 | 7.0 | 378 | 2.3180 | 0.1111 |
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- | 2.3074 | 8.0 | 432 | 2.3242 | 0.1111 |
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- | 2.3073 | 9.0 | 486 | 2.3286 | 0.0741 |
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- | 2.3046 | 10.0 | 540 | 2.3371 | 0.0741 |
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- | 2.3043 | 11.0 | 594 | 2.3358 | 0.1111 |
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- | 2.304 | 12.0 | 648 | 2.3254 | 0.1111 |
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- | 2.3045 | 13.0 | 702 | 2.3270 | 0.1111 |
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- | 2.3027 | 14.0 | 756 | 2.3222 | 0.1111 |
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- | 2.3016 | 15.0 | 810 | 2.3259 | 0.1111 |
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- | 2.3013 | 16.0 | 864 | 2.3259 | 0.1111 |
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- | 2.3012 | 17.0 | 918 | 2.3295 | 0.1111 |
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- | 2.3001 | 18.0 | 972 | 2.3281 | 0.1111 |
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- | 2.2993 | 19.0 | 1026 | 2.3285 | 0.1111 |
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- | 2.2993 | 20.0 | 1080 | 2.3282 | 0.1111 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1182
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+ - Accuracy: 0.4074
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 4
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  - eval_batch_size: 1
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.3019 | 1.0 | 54 | 2.3080 | 0.0741 |
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+ | 2.3011 | 2.0 | 108 | 2.3017 | 0.1852 |
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+ | 2.2894 | 3.0 | 162 | 2.3069 | 0.0370 |
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+ | 2.2761 | 4.0 | 216 | 2.3072 | 0.1481 |
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+ | 2.2574 | 5.0 | 270 | 2.2921 | 0.1111 |
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+ | 2.2345 | 6.0 | 324 | 2.2809 | 0.1481 |
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+ | 2.2061 | 7.0 | 378 | 2.2674 | 0.2593 |
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+ | 2.1754 | 8.0 | 432 | 2.2683 | 0.2593 |
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+ | 2.1463 | 9.0 | 486 | 2.2374 | 0.1852 |
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+ | 2.1 | 10.0 | 540 | 2.2400 | 0.2593 |
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+ | 2.0551 | 11.0 | 594 | 2.2009 | 0.2963 |
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+ | 2.0238 | 12.0 | 648 | 2.1784 | 0.2593 |
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+ | 1.9852 | 13.0 | 702 | 2.1676 | 0.2963 |
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+ | 1.9571 | 14.0 | 756 | 2.1834 | 0.2593 |
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+ | 1.9168 | 15.0 | 810 | 2.1502 | 0.3333 |
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+ | 1.8981 | 16.0 | 864 | 2.1212 | 0.3704 |
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+ | 1.8546 | 17.0 | 918 | 2.1315 | 0.4074 |
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+ | 1.8475 | 18.0 | 972 | 2.1182 | 0.4074 |
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+ | 1.8346 | 19.0 | 1026 | 2.1224 | 0.4074 |
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+ | 1.8144 | 20.0 | 1080 | 2.1182 | 0.4074 |
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  ### Framework versions
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