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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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-large-v3-multids-v3 |
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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-large-v3-multids-v3 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0675 |
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- Wer: 1.7195 |
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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-06 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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: 250 |
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- training_steps: 2000 |
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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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| 0.3186 | 3.0215 | 250 | 0.1316 | 3.0916 | |
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| 0.1075 | 7.0085 | 500 | 0.0966 | 2.3375 | |
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| 0.0834 | 10.03 | 750 | 0.0832 | 2.0758 | |
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| 0.0774 | 14.017 | 1000 | 0.0762 | 1.8596 | |
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| 0.0693 | 18.004 | 1250 | 0.0721 | 1.7943 | |
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| 0.065 | 21.0255 | 1500 | 0.0696 | 1.7406 | |
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| 0.0634 | 25.0125 | 1750 | 0.0681 | 1.7324 | |
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| 0.0612 | 28.034 | 2000 | 0.0675 | 1.7195 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1.dev0 |
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- Tokenizers 0.19.1 |
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