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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 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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- 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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| 3.2295 | 8.8 | 27 | 2.6454 | 0.0442 |
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| 3.2267 | 9.8 | 30 | 2.6456 | 0.0531 |
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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 the minds14 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6391
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- Accuracy: 0.0885
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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: 100
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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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| 3.2283 | 11.53 | 35 | 2.6432 | 0.1062 |
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| 3.4248 | 23.27 | 70 | 2.6394 | 0.0973 |
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| 3.4245 | 34.8 | 105 | 2.6404 | 0.0442 |
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| 3.2245 | 46.53 | 140 | 2.6405 | 0.0531 |
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| 3.2287 | 58.27 | 175 | 2.6416 | 0.0796 |
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| 3.2289 | 69.8 | 210 | 2.6424 | 0.0973 |
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| 3.2252 | 81.53 | 245 | 2.6396 | 0.1062 |
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| 3.424 | 93.27 | 280 | 2.6391 | 0.0885 |
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### Framework versions
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