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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_v8 |
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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_v8 |
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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: 0.4224 |
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- Wer: 102.2241 |
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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: 16 |
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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: 8 |
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- total_train_batch_size: 128 |
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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 | 10.0 | 10 | 0.5239 | 19.1617 | |
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| No log | 20.0 | 20 | 0.4346 | 18.0496 | |
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| No log | 30.0 | 30 | 0.4050 | 17.1942 | |
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| No log | 40.0 | 40 | 0.4204 | 18.4773 | |
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| 0.0997 | 50.0 | 50 | 0.4294 | 20.6159 | |
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| 0.0997 | 60.0 | 60 | 0.4282 | 19.6749 | |
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| 0.0997 | 70.0 | 70 | 0.4246 | 23.9521 | |
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| 0.0997 | 80.0 | 80 | 0.4224 | 102.2241 | |
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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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