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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: deepdml/whisper-large-v3-turbo
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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: output_dir
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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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# output_dir
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This model is a fine-tuned version of [deepdml/whisper-large-v3-turbo](https://huggingface.co./deepdml/whisper-large-v3-turbo) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4598
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- Wer: 20.0
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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-05
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- train_batch_size: 64
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use 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_steps: 1
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- training_steps: 1
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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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| 0.7947 | 1.0 | 1 | 1.4598 | 20.0 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.3.0+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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