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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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- wer |
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model-index: |
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- name: Whisper Tiny GA-EN Speech Translation v.1.2 |
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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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# Whisper Tiny GA-EN Speech Translation v.1.2 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7774 |
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- Bleu: 15.38 |
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- Chrf: 32.04 |
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- Wer: 93.6515 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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: 0.03 |
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- training_steps: 1000 |
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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 | Bleu | Chrf | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:| |
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| 0.8137 | 1.47 | 100 | 2.1667 | 8.99 | 24.09 | 125.4840 | |
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| 0.3542 | 2.94 | 200 | 2.2521 | 10.81 | 28.88 | 117.7398 | |
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| 0.0878 | 4.41 | 300 | 2.4337 | 14.69 | 31.31 | 98.6042 | |
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| 0.0602 | 5.88 | 400 | 2.5646 | 13.66 | 31.71 | 106.9338 | |
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| 0.0325 | 7.35 | 500 | 2.6156 | 13.97 | 30.21 | 99.7299 | |
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| 0.0323 | 8.82 | 600 | 2.6510 | 14.53 | 30.88 | 100.2701 | |
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| 0.0153 | 10.29 | 700 | 2.7360 | 14.17 | 30.99 | 103.1067 | |
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| 0.0092 | 11.76 | 800 | 2.7474 | 15.06 | 31.84 | 93.5615 | |
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| 0.0058 | 13.24 | 900 | 2.7626 | 15.36 | 32.05 | 93.1112 | |
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| 0.0039 | 14.71 | 1000 | 2.7774 | 15.38 | 32.04 | 93.6515 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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