Model save
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README.md
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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.
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- Accuracy: 0.
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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:
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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 | 0.8 | 1 | 0.
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| No log | 1.6 | 2 | 0.
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| No log | 2.4 | 3 | 0.
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| No log |
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| No log | 4.8 | 6 | 0.6969 | 0.5 |
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| No log | 5.6 | 7 | 0.6992 | 0.5 |
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| No log | 6.4 | 8 | 0.6969 | 0.5 |
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| 0.699 | 8.0 | 10 | 0.6931 | 0.5 |
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| 0.699 | 8.8 | 11 | 0.6938 | 0.5 |
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| 0.699 | 9.6 | 12 | 0.6944 | 0.5 |
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| 0.699 | 10.4 | 13 | 0.6941 | 0.5 |
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| 0.699 | 12.0 | 15 | 0.6940 | 0.5 |
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| 0.699 | 12.8 | 16 | 0.6939 | 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: 0.6767
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- Accuracy: 0.7
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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: 4
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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 | 0.8 | 1 | 0.6819 | 0.7 |
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| No log | 1.6 | 2 | 0.8696 | 0.3 |
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| No log | 2.4 | 3 | 0.6608 | 0.7 |
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| No log | 3.2 | 4 | 0.6767 | 0.7 |
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### Framework versions
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model.safetensors
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