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--- |
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license: apache-2.0 |
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base_model: openai/whisper-medium.en |
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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: medium |
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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/imannalia/augment_thirty_whisper_ft_medium/runs/lx7hkern) |
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# medium |
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This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4547 |
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- Wer: 11.8776 |
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- Cer: 7.0531 |
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- Wer Normalized: 11.8782 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 500 |
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- training_steps: 1500 |
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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 | Cer | Wer Normalized | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:--------------:| |
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| 0.7386 | 1.7544 | 500 | 0.3919 | 9.6967 | 5.7829 | 9.6942 | |
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| 0.3228 | 3.5088 | 1000 | 0.4447 | 10.0253 | 6.0106 | 10.0254 | |
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| 0.1196 | 5.2632 | 1500 | 0.5873 | 10.2440 | 6.1735 | 10.2441 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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