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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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: whisper-base_trained |
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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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# whisper-base_trained |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5384 |
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- Wer: 150.0 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 1 |
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- training_steps: 50 |
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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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| 2.5874 | 4.0 | 6 | 2.2372 | 150.0 | |
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| 1.1083 | 8.0 | 12 | 1.4557 | 150.0 | |
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| 0.6359 | 12.0 | 18 | 1.0874 | 150.0 | |
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| 0.2396 | 16.0 | 24 | 0.8668 | 200.0 | |
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| 0.056 | 20.0 | 30 | 0.7220 | 150.0 | |
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| 0.0147 | 24.0 | 36 | 0.6112 | 200.0 | |
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| 0.0055 | 28.0 | 42 | 0.5606 | 200.0 | |
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| 0.0037 | 32.0 | 48 | 0.5384 | 150.0 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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