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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-large-v2 |
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metrics: |
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- wer |
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model-index: |
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- name: BA_Model_V3 |
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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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# BA_Model_V3 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3495 |
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- Wer: 21.1224 |
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- Cer: 12.2080 |
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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-06 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.2 |
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- num_epochs: 8 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.0358 | 1.0 | 278 | 0.6770 | 23.3686 | 13.9275 | |
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| 0.2753 | 2.0 | 556 | 0.3313 | 20.7071 | 12.0535 | |
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| 0.2109 | 3.0 | 834 | 0.3098 | 20.7204 | 12.1752 | |
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| 0.1603 | 4.0 | 1112 | 0.3129 | 20.4645 | 11.8444 | |
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| 0.1224 | 5.0 | 1390 | 0.3242 | 20.8034 | 12.0535 | |
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| 0.0956 | 6.0 | 1668 | 0.3353 | 20.7802 | 11.9894 | |
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| 0.0781 | 7.0 | 1946 | 0.3464 | 21.0659 | 12.1725 | |
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| 0.0716 | 8.0 | 2224 | 0.3495 | 21.1224 | 12.2080 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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