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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny.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: whisperFinetuneTakeTwo |
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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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# whisperFinetuneTakeTwo |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5685 |
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- Wer: 26.8493 |
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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: 128 |
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- eval_batch_size: 8 |
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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: 100 |
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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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| 2.8768 | 0.2778 | 10 | 1.8749 | 35.4033 | |
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| 0.8301 | 0.5556 | 20 | 0.6687 | 24.9619 | |
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| 0.5543 | 0.8333 | 30 | 0.5484 | 22.9224 | |
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| 0.3902 | 1.1111 | 40 | 0.5108 | 20.3044 | |
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| 0.3395 | 1.3889 | 50 | 0.4900 | 20.6088 | |
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| 0.3255 | 1.6667 | 60 | 0.4830 | 20.7915 | |
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| 0.362 | 1.9444 | 70 | 0.4867 | 20.6393 | |
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| 0.1228 | 2.2222 | 80 | 0.5114 | 20.8524 | |
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| 0.1288 | 2.5 | 90 | 0.5299 | 21.3090 | |
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| 0.1513 | 2.7778 | 100 | 0.5685 | 26.8493 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1.dev0 |
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- Tokenizers 0.19.1 |
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