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--- |
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base_model: distil-whisper/distil-large-v2 |
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library_name: peft |
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license: mit |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distil-whisper-large-v2 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/aisha-STT/aisha-STT/runs/683164za) |
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# distil-whisper-large-v2 |
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This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.1657 |
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- Wer Ortho: 100.0 |
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- Wer: 100.0 |
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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: 4 |
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- eval_batch_size: 4 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-----:| |
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| 8.0272 | 1.0 | 3 | 7.0930 | 100.0 | 100.0 | |
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| 8.4161 | 2.0 | 6 | 7.1227 | 100.0 | 100.0 | |
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| 8.1907 | 3.0 | 9 | 7.1657 | 100.0 | 100.0 | |
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| 8.12 | 4.0 | 12 | 7.1657 | 100.0 | 100.0 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
