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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
Commit
890212f
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1 Parent(s): 5ec088c

End of training

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Files changed (3) hide show
  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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: 0.3551
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  - Accuracy: 0.9091
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  ## Model description
@@ -50,21 +50,21 @@ 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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- | 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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  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: 0.3381
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  - Accuracy: 0.9091
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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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+ | 0.6948 | 1.0 | 6 | 0.6942 | 0.4091 |
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+ | 0.6393 | 2.0 | 12 | 0.6864 | 0.4091 |
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+ | 0.5059 | 3.0 | 18 | 0.5804 | 0.7727 |
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+ | 0.3832 | 4.0 | 24 | 0.6555 | 0.5909 |
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+ | 0.3113 | 5.0 | 30 | 0.4741 | 0.8182 |
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+ | 0.2529 | 6.0 | 36 | 0.2765 | 0.9545 |
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+ | 0.1891 | 7.0 | 42 | 0.2377 | 0.9545 |
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+ | 0.1966 | 8.0 | 48 | 0.2146 | 0.9545 |
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+ | 0.1326 | 9.0 | 54 | 0.2941 | 0.9091 |
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+ | 0.1938 | 10.0 | 60 | 0.3241 | 0.9091 |
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+ | 0.0933 | 11.0 | 66 | 0.3281 | 0.9091 |
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+ | 0.0831 | 12.0 | 72 | 0.4237 | 0.8636 |
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+ | 0.0801 | 13.0 | 78 | 0.3362 | 0.9091 |
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+ | 0.0632 | 14.0 | 84 | 0.3377 | 0.9091 |
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+ | 0.0746 | 15.0 | 90 | 0.3381 | 0.9091 |
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  ### Framework versions
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