Model save
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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 audiofolder 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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1688 | 8.0 | 264 | 0.2009 | 0.9545 |
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| 0.07 | 9.0 | 297 | 0.2629 | 0.9242 |
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| 0.0413 | 10.0 | 330 | 0.2156 | 0.9545 |
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| 0.0229 | 11.0 | 363 | 0.3189 | 0.9394 |
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| 0.0062 | 12.0 | 396 | 0.3850 | 0.9242 |
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| 0.0159 | 13.0 | 429 | 0.2462 | 0.9394 |
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| 0.0179 | 14.0 | 462 | 0.1904 | 0.9697 |
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| 0.0059 | 15.0 | 495 | 0.1844 | 0.9697 |
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| 0.0248 | 16.0 | 528 | 0.1858 | 0.9697 |
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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: 0.9090909090909091
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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 audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3088
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- Accuracy: 0.9091
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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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| 0.6466 | 1.0 | 33 | 0.6022 | 0.7273 |
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| 0.4525 | 2.0 | 66 | 0.4029 | 0.8030 |
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| 0.3424 | 3.0 | 99 | 0.3294 | 0.8485 |
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| 0.2704 | 4.0 | 132 | 0.2043 | 0.9242 |
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| 0.1414 | 5.0 | 165 | 0.4454 | 0.8333 |
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| 0.2364 | 6.0 | 198 | 0.8511 | 0.7727 |
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| 0.1317 | 7.0 | 231 | 0.3088 | 0.9091 |
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### Framework versions
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model.safetensors
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runs/Apr01_11-36-17_3b2e8eea51ac/events.out.tfevents.1711971377.3b2e8eea51ac.900.7
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