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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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-base-google-fleurs-pt-br |
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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-base-google-fleurs-pt-br |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4270 |
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- Wer: 22.0013 |
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- Wer Normalized: 18.1723 |
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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: 3.05e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 80 |
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- training_steps: 800 |
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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 | Wer Normalized | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------------:| |
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| 0.6738 | 0.5 | 100 | 0.3943 | 21.7334 | 17.9487 | |
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| 0.4816 | 1.01 | 200 | 0.3762 | 20.9203 | 17.1352 | |
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| 0.2652 | 1.51 | 300 | 0.3872 | 21.1882 | 17.2827 | |
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| 0.2901 | 2.01 | 400 | 0.3912 | 21.4608 | 17.7061 | |
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| 0.1408 | 2.51 | 500 | 0.4063 | 21.6112 | 18.0010 | |
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| 0.1428 | 3.02 | 600 | 0.4132 | 21.8650 | 18.0201 | |
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| 0.0839 | 3.52 | 700 | 0.4252 | 22.3679 | 18.4720 | |
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| 0.0906 | 4.02 | 800 | 0.4270 | 22.0013 | 18.1723 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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