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--- |
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language: |
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- gn |
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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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datasets: |
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- mozilla-foundation/common_voice_16_1 |
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model-index: |
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- name: Common Voice 16 - Guarani |
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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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# Common Voice 16 - Guarani |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 16 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4508 |
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- Cer: 12.2672 |
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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: 5e-05 |
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- train_batch_size: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 3000 |
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- training_steps: 3000 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 2.3843 | 0.4955 | 500 | 0.7760 | 20.1410 | |
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| 0.832 | 0.9911 | 1000 | 0.5657 | 16.6787 | |
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| 0.4694 | 1.4866 | 1500 | 0.5170 | 14.5543 | |
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| 0.3654 | 1.9822 | 2000 | 0.4646 | 12.7373 | |
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| 0.2036 | 2.4777 | 2500 | 0.4744 | 12.9181 | |
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| 0.1912 | 2.9732 | 3000 | 0.4508 | 12.2672 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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