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--- |
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language: |
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- fr |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_7_0 |
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- generated_from_trainer |
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model-index: |
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- name: '' |
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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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# |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - FR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2464 |
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- Wer: 0.2220 |
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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: 7.5e-05 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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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: 2000 |
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- num_epochs: 5.0 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.0326 | 0.32 | 1000 | 0.3092 | 0.2718 | |
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| 1.0828 | 0.65 | 2000 | 0.2843 | 0.2606 | |
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| 1.0771 | 0.97 | 3000 | 0.2774 | 0.2488 | |
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| 1.0306 | 1.3 | 4000 | 0.2588 | 0.2351 | |
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| 1.0052 | 1.62 | 5000 | 0.2483 | 0.2284 | |
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| 0.9865 | 1.94 | 6000 | 0.2464 | 0.2220 | |
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| 0.978 | 2.27 | 7000 | 0.2514 | 0.2172 | |
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| 1.7438 | 2.59 | 8000 | 0.7983 | 0.5072 | |
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| 2.3309 | 2.92 | 9000 | 1.8917 | 0.9416 | |
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| 2.1834 | 3.24 | 10000 | 1.7496 | 0.9030 | |
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| 2.3047 | 3.56 | 11000 | 1.5377 | 0.8747 | |
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| 2.1378 | 3.89 | 12000 | 1.3501 | 0.7923 | |
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| 1.9812 | 4.21 | 13000 | 1.2662 | 0.7697 | |
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| 2.6855 | 4.54 | 14000 | 2.4120 | 0.9902 | |
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| 2.7482 | 4.86 | 15000 | 2.5341 | 0.9874 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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