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Anguuuuus
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shimalabaudio-20240425

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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Files changed (3) hide show
  1. README.md +11 -11
  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: 0.6690
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  - Accuracy: 0.3846
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  ## Model description
@@ -50,16 +50,16 @@ 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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- | 0.7014 | 1.0 | 4 | 0.7204 | 0.3846 |
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- | 0.7086 | 2.0 | 8 | 0.7387 | 0.3846 |
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- | 0.6115 | 3.0 | 12 | 0.7492 | 0.3846 |
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- | 0.5657 | 4.0 | 16 | 0.7649 | 0.3846 |
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- | 0.573 | 5.0 | 20 | 0.7703 | 0.3846 |
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- | 0.5514 | 6.0 | 24 | 0.7642 | 0.3846 |
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- | 0.6817 | 7.0 | 28 | 0.7564 | 0.3846 |
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- | 0.5196 | 8.0 | 32 | 0.6929 | 0.3846 |
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- | 0.667 | 9.0 | 36 | 0.6792 | 0.3846 |
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- | 0.4731 | 10.0 | 40 | 0.6690 | 0.3846 |
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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: 0.9754
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  - Accuracy: 0.3846
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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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+ | 0.7094 | 1.0 | 4 | 0.7174 | 0.3846 |
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+ | 0.7136 | 2.0 | 8 | 0.7253 | 0.3846 |
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+ | 0.5748 | 3.0 | 12 | 0.7792 | 0.3846 |
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+ | 0.5697 | 4.0 | 16 | 0.8618 | 0.3846 |
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+ | 0.6178 | 5.0 | 20 | 0.8132 | 0.3846 |
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+ | 0.5846 | 6.0 | 24 | 0.7702 | 0.3846 |
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+ | 0.6907 | 7.0 | 28 | 0.7661 | 0.3846 |
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+ | 0.641 | 8.0 | 32 | 0.7716 | 0.3846 |
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+ | 0.8116 | 9.0 | 36 | 1.0015 | 0.3846 |
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+ | 0.5889 | 10.0 | 40 | 0.9754 | 0.3846 |
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  ### Framework versions
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