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README.md
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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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metrics:
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- wer
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model-index:
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- name: large_config
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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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# large_config
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2441
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- Wer: 17.8570
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- Cer: 8.0073
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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: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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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: 500
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- training_steps: 10000
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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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| 0.5155 | 0.1 | 1000 | 0.4045 | 27.7845 | 12.1308 |
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| 0.5436 | 1.02 | 2000 | 0.3784 | 27.0983 | 11.9181 |
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| 0.265 | 1.12 | 3000 | 0.3227 | 22.8815 | 10.0236 |
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| 0.4765 | 2.04 | 4000 | 0.3021 | 21.9744 | 9.6005 |
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| 0.1818 | 2.14 | 5000 | 0.3002 | 21.0336 | 9.1830 |
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| 0.4031 | 3.05 | 6000 | 0.2496 | 18.0914 | 7.9181 |
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| 0.1991 | 3.15 | 7000 | 0.2971 | 21.7029 | 9.9984 |
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| 0.3023 | 4.07 | 8000 | 0.2445 | 17.7946 | 7.9248 |
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| 0.2185 | 4.17 | 9000 | 0.2842 | 20.3760 | 9.2891 |
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| 0.2114 | 5.09 | 10000 | 0.2441 | 17.8570 | 8.0073 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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