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--- |
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library_name: transformers |
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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-ft-btb-ca-ec-cv-cy-en |
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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-ft-btb-ca-ec-cv-cy-en |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the DewiBrynJones/banc-trawsgrifiadau-bangor-clean train main, cymen-arfor/15awr train+dev+test main, wanasash/enwaucymraeg train+dev+test main, DewiBrynJones/commonvoice_18_0_cy_en train main dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7135 |
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- Wer: 0.5089 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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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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| 1.7363 | 0.3260 | 1000 | 0.9845 | 0.6733 | |
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| 1.4155 | 0.6520 | 2000 | 0.8237 | 0.5717 | |
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| 1.3809 | 0.9780 | 3000 | 0.7566 | 0.5274 | |
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| 1.0882 | 1.3040 | 4000 | 0.7265 | 0.5286 | |
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| 1.0903 | 1.6300 | 5000 | 0.7135 | 0.5089 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.1 |
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