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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 +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: 0.5921
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- - Accuracy: 0.8462
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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: 0.0001
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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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- | 0.7353 | 1.0 | 7 | 0.7616 | 0.4615 |
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- | 0.6483 | 2.0 | 14 | 0.7718 | 0.3846 |
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- | 0.6112 | 3.0 | 21 | 0.9766 | 0.3846 |
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- | 0.6374 | 4.0 | 28 | 0.9559 | 0.3846 |
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- | 0.8214 | 5.0 | 35 | 0.9544 | 0.3846 |
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- | 0.6503 | 6.0 | 42 | 0.7424 | 0.3846 |
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- | 0.7003 | 7.0 | 49 | 0.7507 | 0.3846 |
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- | 0.7017 | 8.0 | 56 | 0.7447 | 0.3846 |
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- | 0.5717 | 9.0 | 63 | 0.7188 | 0.3846 |
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- | 0.616 | 10.0 | 70 | 0.7253 | 0.3846 |
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- | 0.6304 | 11.0 | 77 | 0.7149 | 0.3846 |
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- | 0.5068 | 12.0 | 84 | 0.6676 | 0.5385 |
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- | 0.5476 | 13.0 | 91 | 0.6324 | 0.8462 |
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- | 0.4521 | 14.0 | 98 | 0.5971 | 0.8462 |
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- | 0.4567 | 15.0 | 105 | 0.5921 | 0.8462 |
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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: 0.7519
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+ - Accuracy: 0.4615
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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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+ | 0.7048 | 1.0 | 4 | 0.7079 | 0.3846 |
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+ | 0.6478 | 2.0 | 8 | 0.7239 | 0.3846 |
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+ | 0.7242 | 3.0 | 12 | 0.7464 | 0.3846 |
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+ | 0.5978 | 4.0 | 16 | 0.7460 | 0.4615 |
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+ | 0.7061 | 5.0 | 20 | 0.7460 | 0.4615 |
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+ | 0.7089 | 6.0 | 24 | 0.7377 | 0.4615 |
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+ | 0.5751 | 7.0 | 28 | 0.7324 | 0.4615 |
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+ | 0.5799 | 8.0 | 32 | 0.7365 | 0.4615 |
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+ | 0.563 | 9.0 | 36 | 0.7477 | 0.4615 |
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+ | 0.555 | 10.0 | 40 | 0.7562 | 0.4615 |
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+ | 0.5227 | 11.0 | 44 | 0.7632 | 0.4615 |
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+ | 0.6701 | 12.0 | 48 | 0.7590 | 0.4615 |
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+ | 0.5219 | 13.0 | 52 | 0.7540 | 0.4615 |
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+ | 0.5003 | 14.0 | 56 | 0.7526 | 0.4615 |
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+ | 0.488 | 15.0 | 60 | 0.7519 | 0.4615 |
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  ### Framework versions
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