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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-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-Telugu-Version1 |
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results: [] |
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language: |
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- te |
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pipeline_tag: automatic-speech-recognition |
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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-large-v3-turbo-Telugu-Version1 |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8897 |
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- Wer: 103.8462 |
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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-05 |
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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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- optimizer: Use 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: 1000 |
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- training_steps: 20000 |
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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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| 0.0234 | 142.8571 | 2000 | 0.4991 | 98.3516 | |
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| 0.0024 | 285.7143 | 4000 | 0.6494 | 95.6044 | |
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| 0.0008 | 428.5714 | 6000 | 0.7260 | 95.0549 | |
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| 0.0004 | 571.4286 | 8000 | 0.7513 | 94.5055 | |
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| 0.0003 | 714.2857 | 10000 | 0.7775 | 95.0549 | |
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| 0.0002 | 857.1429 | 12000 | 0.8183 | 109.3407 | |
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| 0.0002 | 1000.0 | 14000 | 0.8304 | 92.3077 | |
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| 0.0001 | 1142.8571 | 16000 | 0.8528 | 96.1538 | |
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| 0.0001 | 1285.7143 | 18000 | 0.8839 | 100.0 | |
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| 0.0001 | 1428.5714 | 20000 | 0.8897 | 103.8462 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.1 |
