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--- |
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language: |
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- en |
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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: ./949 |
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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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# ./949 |
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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 949 FULL dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5601 |
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- Wer Ortho: 29.5461 |
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- Wer: 21.9669 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 300 |
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- training_steps: 500 |
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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 Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 1.0667 | 1.8692 | 100 | 0.7607 | 37.1700 | 28.4674 | |
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| 0.7153 | 3.7383 | 200 | 0.6157 | 32.8982 | 24.5167 | |
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| 0.5672 | 5.6075 | 300 | 0.5747 | 30.5251 | 22.3872 | |
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| 0.4809 | 7.4766 | 400 | 0.5630 | 29.4275 | 21.7428 | |
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| 0.428 | 9.3458 | 500 | 0.5601 | 29.5461 | 21.9669 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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