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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: whisperFinetuneFinal |
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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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# whisperFinetuneFinal |
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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: 0.5711 |
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- Wer: 22.2920 |
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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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| 2.8037 | 0.2778 | 10 | 1.8972 | 34.0973 | |
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| 0.8101 | 0.5556 | 20 | 0.6863 | 28.6970 | |
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| 0.5778 | 0.8333 | 30 | 0.5491 | 22.8885 | |
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| 0.4375 | 1.1111 | 40 | 0.4962 | 20.7535 | |
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| 0.3437 | 1.3889 | 50 | 0.4767 | 20.2512 | |
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| 0.3277 | 1.6667 | 60 | 0.4921 | 21.0047 | |
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| 0.3431 | 1.9444 | 70 | 0.4972 | 20.4082 | |
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| 0.1331 | 2.2222 | 80 | 0.5317 | 25.7143 | |
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| 0.1385 | 2.5 | 90 | 0.5308 | 20.4396 | |
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| 0.146 | 2.7778 | 100 | 0.5711 | 22.2920 | |
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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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