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--- |
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base_model: openai/whisper-large-v3 |
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datasets: |
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- google/fleurs |
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language: |
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- hi |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Large-v3 Hindi -megha sharma |
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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: Google Fleurs |
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type: google/fleurs |
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config: hi_in |
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split: None |
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args: 'config: hi, split: test' |
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metrics: |
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- type: wer |
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value: 18.4303006638032 |
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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 Large-v3 Hindi -megha sharma |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Google Fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1607 |
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- Wer: 18.4303 |
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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-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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- 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: 2000 |
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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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| 0.1781 | 6.7797 | 2000 | 0.1785 | 21.1734 | |
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| 0.1519 | 13.5593 | 4000 | 0.1621 | 19.2405 | |
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| 0.1286 | 20.3390 | 6000 | 0.1577 | 18.7427 | |
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| 0.1259 | 27.1186 | 8000 | 0.1564 | 18.2058 | |
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| 0.111 | 33.8983 | 10000 | 0.1568 | 17.9032 | |
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| 0.1067 | 40.6780 | 12000 | 0.1582 | 17.8153 | |
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| 0.1034 | 47.4576 | 14000 | 0.1591 | 18.8403 | |
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| 0.0995 | 54.2373 | 16000 | 0.1603 | 18.8598 | |
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| 0.0929 | 61.0169 | 18000 | 0.1607 | 18.4303 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
