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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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model-index: |
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- name: mst_1 |
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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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# mst_1 |
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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: 0.0038 |
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- Wer: 0.9915 |
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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: 0.0001 |
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- train_batch_size: 8 |
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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: 1000 |
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- num_epochs: 7 |
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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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| 11.0362 | 1.15 | 500 | 2.7219 | 1.0 | |
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| 1.9536 | 2.29 | 1000 | 0.5060 | 2.0274 | |
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| 0.2347 | 3.44 | 1500 | 0.0268 | 1.0462 | |
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| 0.0633 | 4.59 | 2000 | 0.0078 | 1.0 | |
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| 0.0359 | 5.73 | 2500 | 0.0047 | 0.9949 | |
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| 0.014 | 6.88 | 3000 | 0.0038 | 0.9915 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.2 |
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