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--- |
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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: finetune_v7 |
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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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# finetune_v7 |
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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: 0.6387 |
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- Wer: 81.7276 |
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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: 8 |
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- eval_batch_size: 4 |
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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: 32 |
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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: 5 |
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- training_steps: 80 |
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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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| No log | 6.6667 | 10 | 0.6616 | 27.2425 | |
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| No log | 13.3333 | 20 | 0.6074 | 28.5714 | |
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| No log | 20.0 | 30 | 0.6377 | 28.5714 | |
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| No log | 26.6667 | 40 | 0.6221 | 32.5581 | |
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| 0.2362 | 33.3333 | 50 | 0.6255 | 103.9867 | |
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| 0.2362 | 40.0 | 60 | 0.6309 | 36.2126 | |
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| 0.2362 | 46.6667 | 70 | 0.6362 | 37.2093 | |
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| 0.2362 | 53.3333 | 80 | 0.6387 | 81.7276 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.2.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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