update model card README.md
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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_F03_keep_all
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results: []
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# torgo_xlsr_finetune_F03_keep_all
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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_F03_keep_all
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results: []
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# torgo_xlsr_finetune_F03_keep_all
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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: 0.1972
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- Wer: 0.0443
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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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| 3.573 | 0.56 | 1000 | 3.3927 | 1.0 |
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| 1.9872 | 1.11 | 2000 | 1.0729 | 0.7588 |
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| 1.0338 | 1.67 | 3000 | 0.6272 | 0.4530 |
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| 0.7363 | 2.22 | 4000 | 0.5054 | 0.3579 |
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| 0.6181 | 2.78 | 5000 | 0.3583 | 0.2448 |
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| 0.5327 | 3.33 | 6000 | 0.2902 | 0.1771 |
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| 0.5046 | 3.89 | 7000 | 0.3202 | 0.1628 |
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| 0.4227 | 4.44 | 8000 | 0.2460 | 0.1400 |
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| 0.4405 | 5.0 | 9000 | 0.2750 | 0.1287 |
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| 0.3927 | 5.55 | 10000 | 0.2235 | 0.0928 |
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| 0.3496 | 6.11 | 11000 | 0.2621 | 0.1083 |
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| 0.3294 | 6.66 | 12000 | 0.2056 | 0.0688 |
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| 0.3201 | 7.22 | 13000 | 0.2155 | 0.0838 |
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| 0.2973 | 7.77 | 14000 | 0.2909 | 0.0844 |
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| 0.2758 | 8.33 | 15000 | 0.3096 | 0.0832 |
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| 0.2688 | 8.88 | 16000 | 0.2420 | 0.0664 |
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| 0.2537 | 9.44 | 17000 | 0.2438 | 0.0772 |
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| 0.2642 | 9.99 | 18000 | 0.1836 | 0.0598 |
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| 0.2611 | 10.55 | 19000 | 0.2562 | 0.0670 |
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| 0.2019 | 11.1 | 20000 | 0.2084 | 0.0658 |
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| 0.205 | 11.66 | 21000 | 0.1959 | 0.0628 |
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| 0.2019 | 12.22 | 22000 | 0.2316 | 0.0700 |
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| 0.1923 | 12.77 | 23000 | 0.2051 | 0.0664 |
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| 0.1614 | 13.33 | 24000 | 0.2322 | 0.0724 |
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| 0.1955 | 13.88 | 25000 | 0.1920 | 0.0551 |
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| 0.1705 | 14.44 | 26000 | 0.2071 | 0.0521 |
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| 0.1906 | 14.99 | 27000 | 0.2112 | 0.0533 |
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| 0.1503 | 15.55 | 28000 | 0.1914 | 0.0491 |
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| 0.1692 | 16.1 | 29000 | 0.1870 | 0.0557 |
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| 0.149 | 16.66 | 30000 | 0.2172 | 0.0467 |
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| 0.1413 | 17.21 | 31000 | 0.2313 | 0.0479 |
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| 0.1466 | 17.77 | 32000 | 0.1989 | 0.0437 |
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| 0.1533 | 18.32 | 33000 | 0.2078 | 0.0437 |
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| 0.1176 | 18.88 | 34000 | 0.2034 | 0.0431 |
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| 0.1189 | 19.43 | 35000 | 0.1929 | 0.0413 |
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| 0.1056 | 19.99 | 36000 | 0.1972 | 0.0443 |
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### Framework versions
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- Transformers 4.26.1
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