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--- |
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library_name: peft |
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language: |
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- ms |
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- zh |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- whisper |
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- multilingual |
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- speech-recognition |
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- generated_from_trainer |
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datasets: |
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- CheeseES/LLM_FINE_TUNING_1 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper_FT_V1 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: LLM Fine Tuning Dataset |
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type: CheeseES/LLM_FINE_TUNING_1 |
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split: None |
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args: language |
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metrics: |
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- type: wer |
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value: 51.61904761904762 |
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name: Wer |
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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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# Whisper_FT_V1 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the LLM Fine Tuning Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0892 |
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- Wer: 51.6190 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 33 |
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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: 300 |
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- training_steps: 3000 |
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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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| 0.5149 | 0.8547 | 100 | 0.2080 | 80.4524 | |
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| 0.2 | 1.7094 | 200 | 0.1883 | 82.9286 | |
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| 0.1807 | 2.5641 | 300 | 0.1701 | 84.7143 | |
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| 0.1561 | 3.4188 | 400 | 0.1553 | 82.6667 | |
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| 0.1363 | 4.2735 | 500 | 0.1458 | 75.3571 | |
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| 0.1152 | 5.1282 | 600 | 0.1367 | 71.3095 | |
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| 0.0994 | 5.9829 | 700 | 0.1284 | 68.6190 | |
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| 0.0865 | 6.8376 | 800 | 0.1214 | 64.5238 | |
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| 0.073 | 7.6923 | 900 | 0.1136 | 69.5714 | |
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| 0.0656 | 8.5470 | 1000 | 0.1091 | 66.6905 | |
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| 0.0598 | 9.4017 | 1100 | 0.1049 | 69.8810 | |
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| 0.0512 | 10.2564 | 1200 | 0.1025 | 65.0 | |
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| 0.0481 | 11.1111 | 1300 | 0.0977 | 64.8571 | |
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| 0.0429 | 11.9658 | 1400 | 0.0955 | 59.5238 | |
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| 0.0385 | 12.8205 | 1500 | 0.0930 | 61.3810 | |
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| 0.0338 | 13.6752 | 1600 | 0.0916 | 65.3810 | |
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| 0.0334 | 14.5299 | 1700 | 0.0905 | 63.0952 | |
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| 0.0298 | 15.3846 | 1800 | 0.0892 | 51.6190 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.8.0.dev20250319+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
