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--- |
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library_name: transformers |
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language: |
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- spa |
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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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- wer |
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model-index: |
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- name: Whisper Tiny Few Audios - vfranchis |
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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 Few Audios - vfranchis |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Few audios 1.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3835 |
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- Wer: 15.7143 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 10 |
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- training_steps: 100 |
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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 | |
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|:-------------:|:-------:|:----:|:---------------:|:-------:| |
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| 1.5625 | 2.8571 | 10 | 1.4533 | 77.1429 | |
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| 0.6893 | 5.7143 | 20 | 0.7903 | 32.8571 | |
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| 0.1921 | 8.5714 | 30 | 0.5135 | 34.2857 | |
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| 0.0623 | 11.4286 | 40 | 0.4158 | 11.4286 | |
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| 0.0222 | 14.2857 | 50 | 0.3903 | 14.2857 | |
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| 0.0107 | 17.1429 | 60 | 0.3846 | 14.2857 | |
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| 0.0069 | 20.0 | 70 | 0.3847 | 15.7143 | |
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| 0.0055 | 22.8571 | 80 | 0.3842 | 15.7143 | |
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| 0.0046 | 25.7143 | 90 | 0.3836 | 15.7143 | |
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| 0.0044 | 28.5714 | 100 | 0.3835 | 15.7143 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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