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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: 1.1375 |
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- Wer: 0.4998 |
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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: 8 |
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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: 1500 |
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- num_epochs: 100.0 |
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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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| 3.5841 | 9.26 | 500 | 3.2514 | 0.9941 | |
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| 0.3992 | 18.52 | 1000 | 0.8790 | 0.6107 | |
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| 0.2409 | 27.78 | 1500 | 1.0012 | 0.6366 | |
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| 0.1447 | 37.04 | 2000 | 1.0167 | 0.6276 | |
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| 0.1109 | 46.3 | 2500 | 1.0638 | 0.5653 | |
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| 0.0797 | 55.56 | 3000 | 1.1447 | 0.5715 | |
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| 0.0636 | 64.81 | 3500 | 1.1503 | 0.5316 | |
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| 0.0466 | 74.07 | 4000 | 1.2227 | 0.5386 | |
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| 0.0372 | 83.33 | 4500 | 1.1214 | 0.5225 | |
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| 0.0239 | 92.59 | 5000 | 1.1375 | 0.4998 | |
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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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