End of training
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README.md
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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-base
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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: Shunya_Augmentation_enabled_attempt2
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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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# Shunya_Augmentation_enabled_attempt2
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6338
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- Wer: 26.8203
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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: 0.0001
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- train_batch_size: 2
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- eval_batch_size: 4
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- seed: 42
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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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- training_steps: 100000
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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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| 0.3379 | 3.9062 | 5000 | 0.7792 | 47.4376 |
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| 0.1422 | 7.8125 | 10000 | 0.7314 | 38.2661 |
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| 0.1088 | 11.7188 | 15000 | 0.7569 | 38.1037 |
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| 0.0704 | 15.625 | 20000 | 0.7331 | 37.7788 |
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| 0.0265 | 19.5312 | 25000 | 0.7670 | 39.1670 |
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| 0.0179 | 23.4375 | 30000 | 0.7927 | 36.2428 |
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| 0.0225 | 27.3438 | 35000 | 0.7842 | 35.8883 |
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| 0.0227 | 31.25 | 40000 | 0.7847 | 34.4705 |
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| 0.0167 | 35.1562 | 45000 | 0.7585 | 32.4472 |
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| 0.0149 | 39.0625 | 50000 | 0.7667 | 31.9894 |
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| 0.0288 | 42.9688 | 55000 | 0.7391 | 32.6983 |
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| 0.0067 | 46.875 | 60000 | 0.7365 | 31.1475 |
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| 0.0048 | 50.7812 | 65000 | 0.7247 | 29.8626 |
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| 0.0184 | 54.6875 | 70000 | 0.7135 | 30.5272 |
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| 0.0051 | 58.5938 | 75000 | 0.7035 | 29.5525 |
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| 0.0185 | 62.5 | 80000 | 0.6938 | 29.1833 |
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| 0.0008 | 66.4062 | 85000 | 0.6732 | 30.0399 |
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| 0.0068 | 70.3125 | 90000 | 0.6482 | 28.3710 |
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| 0.0065 | 74.2188 | 95000 | 0.6310 | 27.7212 |
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| 0.0001 | 78.125 | 100000 | 0.6338 | 26.8203 |
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### Framework versions
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- Transformers 5.3.0.dev0
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- Pytorch 2.9.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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