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update model card README.md

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  1. README.md +7 -13
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@@ -16,8 +16,8 @@ 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: 0.6181
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- - Accuracy: 0.6667
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  ## Model description
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@@ -45,22 +45,16 @@ 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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6872 | 0.6667 |
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- | No log | 2.0 | 2 | 0.6862 | 0.6667 |
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- | No log | 3.0 | 3 | 0.6718 | 0.6667 |
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- | No log | 4.0 | 4 | 0.6580 | 0.6667 |
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- | No log | 5.0 | 5 | 0.6470 | 0.6667 |
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- | No log | 6.0 | 6 | 0.6384 | 0.6667 |
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- | No log | 7.0 | 7 | 0.6296 | 0.6667 |
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- | No log | 8.0 | 8 | 0.6230 | 0.6667 |
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- | No log | 9.0 | 9 | 0.6201 | 0.6667 |
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- | 0.1643 | 10.0 | 10 | 0.6181 | 0.6667 |
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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: 0.6940
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+ - Accuracy: 0.5357
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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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+ - training_steps: 400
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 100.0 | 100 | 0.6943 | 0.4286 |
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+ | No log | 200.0 | 200 | 0.6905 | 0.5 |
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+ | No log | 300.0 | 300 | 0.6939 | 0.5714 |
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+ | No log | 400.0 | 400 | 0.6940 | 0.5357 |
 
 
 
 
 
 
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  ### Framework versions