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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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datasets: |
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- common_voice |
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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-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2579 |
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- Wer: 0.2253 |
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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: 32 |
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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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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 60.0 |
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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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| 3.1829 | 4.88 | 400 | 3.1228 | 1.0 | |
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| 2.8675 | 9.76 | 800 | 2.8616 | 0.9993 | |
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| 1.583 | 14.63 | 1200 | 0.6392 | 0.6239 | |
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| 1.1959 | 19.51 | 1600 | 0.3602 | 0.3651 | |
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| 1.0276 | 24.39 | 2000 | 0.3021 | 0.2981 | |
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| 0.9671 | 29.27 | 2400 | 0.2872 | 0.2739 | |
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| 0.873 | 34.15 | 2800 | 0.2593 | 0.2459 | |
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| 0.8513 | 39.02 | 3200 | 0.2617 | 0.2473 | |
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| 0.8132 | 43.9 | 3600 | 0.2548 | 0.2426 | |
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| 0.7935 | 48.78 | 4000 | 0.2637 | 0.2353 | |
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| 0.7565 | 53.66 | 4400 | 0.2629 | 0.2322 | |
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| 0.7359 | 58.54 | 4800 | 0.2579 | 0.2253 | |
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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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