update model card README.md
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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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- audio
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- automatic-speech-recognition
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- speech # Example: speech
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pipeline_tag: automatic-speech-recognition
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model-index:
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name: iloko_model
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---
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@@ -19,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 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_steps: 500
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- num_epochs:
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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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### Framework versions
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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name: iloko_model
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---
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0095
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- Wer: 0.0840
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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_steps: 500
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- num_epochs: 30
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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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| 3.2784 | 1.11 | 100 | 2.9875 | 1.0 |
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| 2.6899 | 2.22 | 200 | 2.6741 | 1.0 |
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| 2.6177 | 3.33 | 300 | 2.6516 | 1.0 |
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| 2.5327 | 4.44 | 400 | 2.4530 | 1.0 |
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| 0.8653 | 5.56 | 500 | 0.5227 | 0.6547 |
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| 0.3414 | 6.67 | 600 | 0.1830 | 0.2487 |
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| 0.2299 | 7.78 | 700 | 0.1212 | 0.1877 |
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| 0.1739 | 8.89 | 800 | 0.0843 | 0.1441 |
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| 0.1242 | 10.0 | 900 | 0.0766 | 0.1441 |
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| 0.1116 | 11.11 | 1000 | 0.0530 | 0.1145 |
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| 0.0861 | 12.22 | 1100 | 0.0442 | 0.1047 |
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| 0.1007 | 13.33 | 1200 | 0.0379 | 0.1023 |
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| 0.0613 | 14.44 | 1300 | 0.0291 | 0.1006 |
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| 0.0629 | 15.56 | 1400 | 0.0264 | 0.0961 |
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| 0.047 | 16.67 | 1500 | 0.0238 | 0.0935 |
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| 0.0797 | 17.78 | 1600 | 0.0226 | 0.0913 |
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| 0.034 | 18.89 | 1700 | 0.0197 | 0.0893 |
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| 0.0485 | 20.0 | 1800 | 0.0173 | 0.0905 |
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| 0.0402 | 21.11 | 1900 | 0.0148 | 0.0902 |
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| 0.0231 | 22.22 | 2000 | 0.0135 | 0.0891 |
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| 0.0512 | 23.33 | 2100 | 0.0134 | 0.0861 |
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| 0.0181 | 24.44 | 2200 | 0.0118 | 0.0842 |
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| 0.0371 | 25.56 | 2300 | 0.0116 | 0.0867 |
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| 0.0342 | 26.67 | 2400 | 0.0104 | 0.0863 |
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| 0.0344 | 27.78 | 2500 | 0.0100 | 0.0850 |
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| 0.0182 | 28.89 | 2600 | 0.0096 | 0.0839 |
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| 0.0171 | 30.0 | 2700 | 0.0095 | 0.0840 |
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### Framework versions
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