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--- |
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library_name: transformers |
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language: |
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- ps |
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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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- ihanif/common_voice_ps_20_0 |
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model-index: |
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- name: Whisper base Ps - ZFA |
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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 Ps - ZFA |
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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 20.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6906 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.122 | 0.7418 | 500 | 0.8552 | |
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| 0.5987 | 1.4837 | 1000 | 0.7422 | |
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| 0.3821 | 2.2255 | 1500 | 0.7093 | |
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| 0.1938 | 2.9674 | 2000 | 0.6906 | |
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### Framework versions |
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- Transformers 4.56.2 |
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- Pytorch 2.7.0+cu126 |
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- Datasets 4.1.1 |
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- Tokenizers 0.22.0 |
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