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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: whisperFinetune |
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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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# whisperFinetune |
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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: 0.5745 |
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- Wer: 28.7011 |
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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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| 2.8818 | 0.2778 | 10 | 1.9210 | 39.4679 | |
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| 0.7557 | 0.5556 | 20 | 0.6926 | 27.2926 | |
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| 0.5718 | 0.8333 | 30 | 0.5717 | 23.7559 | |
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| 0.421 | 1.1111 | 40 | 0.5161 | 21.5023 | |
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| 0.3088 | 1.3889 | 50 | 0.5103 | 21.0955 | |
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| 0.3415 | 1.6667 | 60 | 0.5155 | 21.6901 | |
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| 0.3434 | 1.9444 | 70 | 0.5176 | 30.0156 | |
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| 0.1371 | 2.2222 | 80 | 0.5303 | 20.6886 | |
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| 0.1349 | 2.5 | 90 | 0.5589 | 22.0344 | |
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| 0.1461 | 2.7778 | 100 | 0.5745 | 28.7011 | |
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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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