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Training in progress, epoch 0

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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: 0.7189
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- - Accuracy: 0.5
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  ## Model description
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 4
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  ### Training results
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@@ -54,8 +54,11 @@ The following hyperparameters were used during training:
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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  | No log | 0.8 | 1 | 0.6871 | 0.5 |
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  | No log | 1.6 | 2 | 0.7041 | 0.5 |
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- | No log | 2.4 | 3 | 0.7121 | 0.5 |
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- | No log | 3.2 | 4 | 0.7189 | 0.5 |
 
 
 
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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: 0.6903
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+ - Accuracy: 0.55
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  ## Model description
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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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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 8
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  ### Training results
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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  | No log | 0.8 | 1 | 0.6871 | 0.5 |
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  | No log | 1.6 | 2 | 0.7041 | 0.5 |
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+ | No log | 2.4 | 3 | 0.7268 | 0.5 |
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+ | No log | 4.0 | 5 | 0.7239 | 0.5 |
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+ | No log | 4.8 | 6 | 0.6909 | 0.45 |
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+ | No log | 5.6 | 7 | 0.6954 | 0.5 |
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+ | No log | 6.4 | 8 | 0.6903 | 0.55 |
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  ### Framework versions
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