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Anguuuuus
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chordektomie-iau

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
Anguuuuus commited on
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End of training

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  1. README.md +20 -20
  2. model.safetensors +1 -1
  3. 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-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: 0.5411
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- - Accuracy: 0.8182
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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: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6943 | 1.0 | 11 | 0.6865 | 0.4545 |
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- | 0.6506 | 2.0 | 22 | 0.7180 | 0.4091 |
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- | 0.5693 | 3.0 | 33 | 0.6925 | 0.5 |
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- | 0.4595 | 4.0 | 44 | 0.6807 | 0.5909 |
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- | 0.3566 | 5.0 | 55 | 0.5187 | 0.7727 |
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- | 0.2734 | 6.0 | 66 | 0.5379 | 0.7273 |
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- | 0.2327 | 7.0 | 77 | 0.4962 | 0.8182 |
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- | 0.1679 | 8.0 | 88 | 0.5208 | 0.7727 |
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- | 0.1803 | 9.0 | 99 | 0.5072 | 0.8182 |
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- | 0.1109 | 10.0 | 110 | 0.5238 | 0.7727 |
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- | 0.0983 | 11.0 | 121 | 0.5516 | 0.7727 |
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- | 0.0858 | 12.0 | 132 | 0.5589 | 0.8182 |
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- | 0.0789 | 13.0 | 143 | 0.5505 | 0.8182 |
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- | 0.0753 | 14.0 | 154 | 0.5411 | 0.8182 |
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- | 0.0727 | 15.0 | 165 | 0.5411 | 0.8182 |
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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: 0.3551
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+ - Accuracy: 0.9091
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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: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6915 | 1.0 | 6 | 0.6867 | 0.5455 |
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+ | 0.6225 | 2.0 | 12 | 0.6632 | 0.5455 |
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+ | 0.4816 | 3.0 | 18 | 0.6117 | 0.5909 |
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+ | 0.349 | 4.0 | 24 | 0.5749 | 0.7273 |
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+ | 0.2234 | 5.0 | 30 | 0.4324 | 0.8636 |
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+ | 0.1732 | 6.0 | 36 | 0.2741 | 0.9545 |
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+ | 0.1059 | 7.0 | 42 | 0.3268 | 0.9091 |
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+ | 0.0755 | 8.0 | 48 | 0.3189 | 0.9091 |
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+ | 0.0577 | 9.0 | 54 | 0.1882 | 0.9545 |
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+ | 0.0779 | 10.0 | 60 | 0.1875 | 0.9545 |
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+ | 0.0506 | 11.0 | 66 | 0.1931 | 0.9545 |
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+ | 0.0373 | 12.0 | 72 | 0.3480 | 0.9091 |
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+ | 0.0347 | 13.0 | 78 | 0.3526 | 0.9091 |
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+ | 0.0334 | 14.0 | 84 | 0.3544 | 0.9091 |
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+ | 0.0325 | 15.0 | 90 | 0.3551 | 0.9091 |
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  ### Framework versions
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