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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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metrics: |
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- wer |
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model-index: |
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- name: dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_16 |
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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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# dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_16 |
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8926 |
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- Wer: 31.8954 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 256 |
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- total_train_batch_size: 4096 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 100 |
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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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| 0.1866 | 29.41 | 500 | 0.8619 | 34.0680 | |
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| 1.4402 | 58.82 | 1000 | 0.8918 | 32.2505 | |
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| 0.0001 | 88.23 | 1500 | 0.8926 | 31.8954 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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