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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 Reports - 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 Reports - 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 reports 1.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9024 |
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- Wer: 99.3499 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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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| 3.9187 | 3.0769 | 10 | 3.0330 | 102.4919 | |
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| 2.7035 | 6.1538 | 20 | 2.1277 | 126.2189 | |
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| 2.0516 | 9.2308 | 30 | 1.6559 | 82.9902 | |
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| 1.5833 | 12.3077 | 40 | 1.3689 | 83.5320 | |
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| 1.301 | 15.3846 | 50 | 1.1881 | 98.0498 | |
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| 1.1102 | 18.4615 | 60 | 1.0681 | 111.9177 | |
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| 1.0133 | 21.5385 | 70 | 0.9908 | 106.1755 | |
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| 0.8926 | 24.6154 | 80 | 0.9402 | 100.3250 | |
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| 0.8362 | 27.6923 | 90 | 0.9127 | 99.2416 | |
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| 0.845 | 30.7692 | 100 | 0.9024 | 99.3499 | |
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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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