nutella-toast
commited on
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End of training
Browse files
README.md
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metrics:
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- name: Wer
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type: wer
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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 [nutella-toast/wav2vec2-large-xls-r-ssw](https://huggingface.co/nutella-toast/wav2vec2-large-xls-r-ssw) on the ml-superb-subset dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 0.
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## Model description
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## Intended uses & limitations
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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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- mixed_precision_training: Native AMP
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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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metrics:
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- name: Wer
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type: wer
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value: 0.7320872274143302
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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 [nutella-toast/wav2vec2-large-xls-r-ssw](https://huggingface.co/nutella-toast/wav2vec2-large-xls-r-ssw) on the ml-superb-subset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7327
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- Wer: 0.7321
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## Model description
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More information needed
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## Intended uses & limitations
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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: 10
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- mixed_precision_training: Native AMP
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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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| 0.5779 | 1.0471 | 100 | 0.7902 | 0.8785 |
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| 0.5307 | 2.0942 | 200 | 0.8185 | 0.8660 |
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| 0.4826 | 3.1414 | 300 | 0.8378 | 0.8692 |
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| 0.4529 | 4.1885 | 400 | 0.8048 | 0.9097 |
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| 0.5053 | 5.2356 | 500 | 0.9541 | 0.8910 |
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| 0.4149 | 6.2827 | 600 | 0.7687 | 0.7913 |
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| 0.3179 | 7.3298 | 700 | 0.7678 | 0.7850 |
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| 0.2642 | 8.3770 | 800 | 0.7151 | 0.7321 |
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| 0.2147 | 9.4241 | 900 | 0.7327 | 0.7321 |
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### Framework versions
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model.safetensors
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