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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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base_model: ihanif/whisper-base-cv20-v2 |
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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_17_0 |
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model-index: |
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- name: whisper-base-synth-v1 |
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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-synth-v1 |
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This model is a fine-tuned version of [ihanif/whisper-base-cv20-v2](https://huggingface.co/ihanif/whisper-base-cv20-v2) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.4352 |
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- eval_wer_ortho: 816.3428 |
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- eval_wer: 837.2591 |
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- eval_runtime: 1020.837 |
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- eval_samples_per_second: 2.744 |
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- eval_steps_per_second: 0.043 |
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- epoch: 3.1915 |
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- step: 300 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 100 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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