End of training
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 3 | 2.
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| No log | 1.8 | 6 | 2.
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| No log | 2.8 | 9 | 2.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.09734513274336283
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6487
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- Accuracy: 0.0973
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.8 | 3 | 2.6373 | 0.0796 |
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| No log | 1.8 | 6 | 2.6331 | 0.0973 |
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| No log | 2.8 | 9 | 2.6393 | 0.0796 |
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| 3.0295 | 3.8 | 12 | 2.6450 | 0.0796 |
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| 3.0295 | 4.8 | 15 | 2.6475 | 0.0885 |
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| 3.0295 | 5.8 | 18 | 2.6493 | 0.0796 |
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| 3.0135 | 6.8 | 21 | 2.6494 | 0.0885 |
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| 3.0135 | 7.8 | 24 | 2.6501 | 0.0973 |
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| 3.0135 | 8.8 | 27 | 2.6489 | 0.0973 |
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| 3.0007 | 9.8 | 30 | 2.6487 | 0.0973 |
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### Framework versions
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model.safetensors
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