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--- |
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library_name: transformers |
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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: FULL6 |
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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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# FULL6 |
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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 9712 FULL-2024-10-24 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3669 |
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- Wer Ortho: 20.8879 |
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- Wer: 15.0446 |
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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-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: 1200 |
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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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| 0.6532 | 0.3661 | 200 | 0.4502 | 25.2247 | 18.8841 | |
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| 0.5127 | 0.7323 | 400 | 0.4048 | 22.5978 | 16.4300 | |
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| 0.4408 | 1.0984 | 600 | 0.3845 | 21.8987 | 16.3138 | |
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| 0.3665 | 1.4645 | 800 | 0.3757 | 21.8443 | 16.0030 | |
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| 0.3589 | 1.8307 | 1000 | 0.3684 | 20.9727 | 15.1085 | |
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| 0.336 | 2.1968 | 1200 | 0.3669 | 20.8879 | 15.0446 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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