ft-wav2vec2-with-minds
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- training_args.bin +1 -1
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 | 1.0 | 2 | 2.
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| No log | 2.0 | 4 | 2.
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| No log | 3.0 | 6 | 2.
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| No log | 4.0 | 8 | 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: 0.07964601769911504
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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: 2.6507
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- Accuracy: 0.0796
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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 | 1.0 | 2 | 2.6510 | 0.0088 |
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| No log | 2.0 | 4 | 2.6535 | 0.0265 |
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| No log | 3.0 | 6 | 2.6496 | 0.0442 |
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| No log | 4.0 | 8 | 2.6469 | 0.0531 |
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| 2.6324 | 5.0 | 10 | 2.6446 | 0.0619 |
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| 2.6324 | 6.0 | 12 | 2.6507 | 0.0796 |
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| 2.6324 | 7.0 | 14 | 2.6551 | 0.0619 |
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| 2.6324 | 8.0 | 16 | 2.6529 | 0.0531 |
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| 2.6324 | 9.0 | 18 | 2.6497 | 0.0619 |
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| 2.6299 | 10.0 | 20 | 2.6503 | 0.0619 |
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### Framework versions
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model.safetensors
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training_args.bin
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