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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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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: l3-whisper-medium-l3c3_e1_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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# l3-whisper-medium-l3c3_e1_v7 |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3650 |
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- Wer: 13.5596 |
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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: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 1 |
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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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| 0.2112 | 0.0927 | 3000 | 0.4719 | 22.7174 | |
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| 0.1775 | 0.1854 | 6000 | 0.4478 | 19.2846 | |
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| 0.16 | 0.2782 | 9000 | 0.4300 | 17.8644 | |
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| 0.1499 | 0.3709 | 12000 | 0.4118 | 16.7179 | |
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| 0.1429 | 0.4636 | 15000 | 0.3920 | 15.8724 | |
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| 0.1354 | 0.5563 | 18000 | 0.3749 | 15.3029 | |
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| 0.1317 | 0.6490 | 21000 | 0.3774 | 15.0261 | |
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| 0.1279 | 0.7417 | 24000 | 0.3668 | 14.1700 | |
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| 0.1247 | 0.8345 | 27000 | 0.3704 | 13.8788 | |
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| 0.1213 | 0.9272 | 30000 | 0.3650 | 13.5596 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.4 |
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