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End of training

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  1. README.md +15 -17
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 2.6699
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- - Accuracy: 0.0619
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  ## Model description
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@@ -38,12 +38,10 @@ 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: 128
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- - eval_batch_size: 128
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 256
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 10
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 2 | 2.6740 | 0.0619 |
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- | No log | 2.0 | 4 | 2.6734 | 0.0619 |
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- | No log | 3.0 | 6 | 2.6675 | 0.0619 |
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- | No log | 4.0 | 8 | 2.6666 | 0.0619 |
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- | 2.6328 | 5.0 | 10 | 2.6668 | 0.0619 |
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- | 2.6328 | 6.0 | 12 | 2.6675 | 0.0619 |
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- | 2.6328 | 7.0 | 14 | 2.6687 | 0.0619 |
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- | 2.6328 | 8.0 | 16 | 2.6696 | 0.0619 |
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- | 2.6328 | 9.0 | 18 | 2.6699 | 0.0619 |
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- | 2.6316 | 10.0 | 20 | 2.6699 | 0.0619 |
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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: 2.6976
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+ - Accuracy: 0.0531
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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: 4
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+ - eval_batch_size: 4
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  - seed: 42
 
 
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - num_epochs: 10
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6297 | 1.0 | 113 | 2.6709 | 0.0619 |
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+ | 2.6756 | 2.0 | 226 | 2.6744 | 0.0619 |
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+ | 2.6513 | 3.0 | 339 | 2.6692 | 0.0619 |
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+ | 2.6578 | 4.0 | 452 | 2.6733 | 0.0619 |
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+ | 2.5932 | 5.0 | 565 | 2.6724 | 0.0619 |
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+ | 2.6251 | 6.0 | 678 | 2.6706 | 0.0619 |
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+ | 2.6301 | 7.0 | 791 | 2.6743 | 0.0619 |
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+ | 2.6573 | 8.0 | 904 | 2.6879 | 0.0531 |
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+ | 2.6232 | 9.0 | 1017 | 2.6935 | 0.0619 |
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+ | 2.6479 | 10.0 | 1130 | 2.6976 | 0.0531 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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