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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: ./7326 |
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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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# ./7326 |
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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 7326 FULL-2024-10-24 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3906 |
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- Wer Ortho: 22.5859 |
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- Wer: 15.5145 |
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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: 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: 1400 |
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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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| 0.6841 | 0.4851 | 200 | 0.4590 | 25.7036 | 18.3842 | |
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| 0.5245 | 0.9703 | 400 | 0.4204 | 24.1509 | 16.9945 | |
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| 0.4305 | 1.4554 | 600 | 0.4028 | 23.1144 | 15.9502 | |
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| 0.4039 | 1.9406 | 800 | 0.3940 | 23.1431 | 16.0444 | |
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| 0.3567 | 2.4257 | 1000 | 0.3943 | 22.6269 | 15.6754 | |
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| 0.3391 | 2.9109 | 1200 | 0.3904 | 22.5900 | 15.5459 | |
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| 0.317 | 3.3960 | 1400 | 0.3906 | 22.5859 | 15.5145 | |
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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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