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README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- audio
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- speech
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- wav2vec2
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- generated_from_trainer
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model-index:
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- name: torgo_xlsr_finetune_M01
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results: []
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# torgo_xlsr_finetune_M01
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the
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## Model description
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 20
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### Framework versions
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- Transformers 4.26.1
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: torgo_xlsr_finetune_M01
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results: []
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# torgo_xlsr_finetune_M01
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6947
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- Wer: 0.3181
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## Model description
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 3.4346 | 0.89 | 1000 | 3.3570 | 1.0 |
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| 1.3708 | 1.79 | 2000 | 1.5774 | 0.7569 |
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| 0.7783 | 2.69 | 3000 | 1.6546 | 0.6103 |
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| 0.5676 | 3.58 | 4000 | 1.3849 | 0.5216 |
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| 0.4476 | 4.48 | 5000 | 1.5294 | 0.5 |
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| 0.4264 | 5.37 | 6000 | 1.5832 | 0.4534 |
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| 0.3434 | 6.27 | 7000 | 1.4397 | 0.4233 |
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| 0.3371 | 7.16 | 8000 | 1.4635 | 0.4129 |
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| 0.3268 | 8.06 | 9000 | 1.5989 | 0.3828 |
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| 0.2623 | 8.95 | 10000 | 1.5145 | 0.3836 |
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| 0.2755 | 9.85 | 11000 | 1.6695 | 0.3569 |
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| 0.2304 | 10.74 | 12000 | 1.4313 | 0.3397 |
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| 0.2052 | 11.64 | 13000 | 1.4242 | 0.3466 |
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| 0.199 | 12.53 | 14000 | 1.7287 | 0.3405 |
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| 0.2124 | 13.43 | 15000 | 1.4715 | 0.3086 |
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| 0.1858 | 14.32 | 16000 | 1.6835 | 0.3086 |
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| 0.1667 | 15.22 | 17000 | 1.6080 | 0.3233 |
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| 0.1551 | 16.11 | 18000 | 1.6151 | 0.3293 |
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| 0.1638 | 17.01 | 19000 | 1.5014 | 0.3034 |
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| 0.1584 | 17.9 | 20000 | 1.7036 | 0.3233 |
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| 0.1486 | 18.8 | 21000 | 1.6527 | 0.3207 |
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| 0.1337 | 19.7 | 22000 | 1.6947 | 0.3181 |
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### Framework versions
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- Transformers 4.26.1
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