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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-xls-r-300m |
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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: fr_only |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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# fr_only |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1454 |
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- Wer: 0.6672 |
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- Cer: 0.3732 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 10.0 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 4.2678 | 0.8 | 500 | 3.9064 | 1.0 | 1.0 | |
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| 3.8874 | 1.61 | 1000 | 3.8322 | 1.0 | 1.0 | |
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| 3.7809 | 2.41 | 1500 | 3.5061 | 0.9737 | 0.8809 | |
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| 2.9215 | 3.21 | 2000 | 2.4683 | 0.9685 | 0.6577 | |
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| 2.3508 | 4.01 | 2500 | 2.1271 | 0.9144 | 0.6212 | |
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| 2.0152 | 4.82 | 3000 | 1.8754 | 0.8794 | 0.5677 | |
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| 1.6777 | 5.62 | 3500 | 1.5346 | 0.7830 | 0.4904 | |
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| 1.4068 | 6.42 | 4000 | 1.3605 | 0.7419 | 0.4583 | |
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| 1.1826 | 7.22 | 4500 | 1.2643 | 0.6912 | 0.4349 | |
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| 0.9938 | 8.03 | 5000 | 1.1641 | 0.7039 | 0.3977 | |
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| 0.7796 | 8.83 | 5500 | 1.1441 | 0.6934 | 0.3865 | |
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| 0.6479 | 9.63 | 6000 | 1.1454 | 0.6672 | 0.3732 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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