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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: ./2623 |
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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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# ./2623 |
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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 2623 FULL dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5176 |
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- Wer Ortho: 27.7646 |
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- Wer: 19.7671 |
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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: 3e-06 |
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- train_batch_size: 8 |
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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: 2 |
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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: 200 |
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- training_steps: 800 |
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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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| 0.8323 | 0.6780 | 100 | 0.5981 | 33.0631 | 24.2505 | |
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| 0.5649 | 1.3559 | 200 | 0.5405 | 32.6716 | 24.1167 | |
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| 0.4921 | 2.0339 | 300 | 0.5132 | 30.1272 | 22.0155 | |
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| 0.3926 | 2.7119 | 400 | 0.5088 | 28.8271 | 21.1724 | |
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| 0.348 | 3.3898 | 500 | 0.5122 | 27.7925 | 19.6868 | |
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| 0.3125 | 4.0678 | 600 | 0.5093 | 28.2958 | 20.3560 | |
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| 0.2761 | 4.7458 | 700 | 0.5146 | 27.5828 | 19.5262 | |
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| 0.2664 | 5.4237 | 800 | 0.5176 | 27.7646 | 19.7671 | |
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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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