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Anguuuuus
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mydata-sentence

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +12 -12
  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: 0.7283
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  - Accuracy: 0.3846
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  ## Model description
@@ -37,7 +37,7 @@ 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: 5e-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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.714 | 1.0 | 4 | 0.7029 | 0.3846 |
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- | 0.6408 | 2.0 | 8 | 0.7396 | 0.3846 |
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- | 0.7328 | 3.0 | 12 | 0.7788 | 0.3846 |
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- | 0.592 | 4.0 | 16 | 0.7724 | 0.3846 |
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- | 0.6938 | 5.0 | 20 | 0.7697 | 0.3846 |
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- | 0.7475 | 6.0 | 24 | 0.7545 | 0.3846 |
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- | 0.5481 | 7.0 | 28 | 0.7260 | 0.3846 |
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- | 0.534 | 8.0 | 32 | 0.7249 | 0.3846 |
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- | 0.5211 | 9.0 | 36 | 0.7287 | 0.3846 |
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- | 0.4983 | 10.0 | 40 | 0.7283 | 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: 0.7708
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  - Accuracy: 0.3846
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7043 | 1.0 | 4 | 0.7055 | 0.3846 |
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+ | 0.6565 | 2.0 | 8 | 0.7238 | 0.3846 |
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+ | 0.7205 | 3.0 | 12 | 0.7413 | 0.3846 |
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+ | 0.5991 | 4.0 | 16 | 0.7503 | 0.3846 |
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+ | 0.6987 | 5.0 | 20 | 0.7629 | 0.3846 |
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+ | 0.7174 | 6.0 | 24 | 0.7623 | 0.3846 |
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+ | 0.5876 | 7.0 | 28 | 0.7616 | 0.3846 |
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+ | 0.5821 | 8.0 | 32 | 0.7671 | 0.3846 |
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+ | 0.5675 | 9.0 | 36 | 0.7701 | 0.3846 |
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+ | 0.5598 | 10.0 | 40 | 0.7708 | 0.3846 |
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  ### Framework versions
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