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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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9545454545454546
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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: 0.2288
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- Accuracy: 0.9545
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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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| 0.6417 | 1.0 | 33 | 0.5774 | 0.7879 |
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| 0.4818 | 2.0 | 66 | 0.3792 | 0.8485 |
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| 0.2756 | 3.0 | 99 | 0.3066 | 0.8788 |
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| 0.3106 | 4.0 | 132 | 0.1951 | 0.9545 |
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| 0.2138 | 5.0 | 165 | 0.2078 | 0.9394 |
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| 0.0988 | 6.0 | 198 | 0.3227 | 0.9091 |
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| 0.1043 | 7.0 | 231 | 0.2893 | 0.9394 |
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| 0.0808 | 8.0 | 264 | 0.2177 | 0.9545 |
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| 0.1312 | 9.0 | 297 | 0.2846 | 0.9091 |
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| 0.0667 | 10.0 | 330 | 0.1955 | 0.9545 |
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| 0.0513 | 11.0 | 363 | 0.2553 | 0.9545 |
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| 0.0217 | 12.0 | 396 | 0.1708 | 0.9545 |
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| 0.0136 | 13.0 | 429 | 0.1641 | 0.9545 |
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| 0.0236 | 14.0 | 462 | 0.2203 | 0.9545 |
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| 0.0097 | 15.0 | 495 | 0.2253 | 0.9545 |
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| 0.003 | 16.0 | 528 | 0.2288 | 0.9545 |
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### Framework versions
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model.safetensors
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runs/Apr01_11-39-51_3b2e8eea51ac/events.out.tfevents.1711971592.3b2e8eea51ac.900.8
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