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--- |
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license: mit |
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base_model: facebook/w2v-bert-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: w2v-bert-version-final |
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results: [] |
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pipeline_tag: automatic-speech-recognition |
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language: |
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- mn |
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metrics: |
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- wer |
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--- |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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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: 2000 |
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- num_epochs: 8 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.0 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
