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--- |
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base_model: Vignesh-M/Indic-whisper |
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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: indic-whisper-vulnerable |
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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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# indic-whisper-vulnerable |
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This model is a fine-tuned version of [Vignesh-M/Indic-whisper](https://huggingface.co/Vignesh-M/Indic-whisper) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9019 |
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- Wer: 73.2647 |
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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: 4 |
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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: 200 |
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- training_steps: 2000 |
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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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| 0.6317 | 0.8811 | 200 | 0.5725 | 73.7685 | |
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| 0.5098 | 1.7621 | 400 | 0.5493 | 73.3542 | |
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| 0.2528 | 2.6432 | 600 | 0.5969 | 74.4066 | |
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| 0.172 | 3.5242 | 800 | 0.6543 | 73.1639 | |
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| 0.1007 | 4.4053 | 1000 | 0.7227 | 75.2239 | |
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| 0.0737 | 5.2863 | 1200 | 0.7665 | 76.2763 | |
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| 0.0313 | 6.1674 | 1400 | 0.8143 | 74.5634 | |
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| 0.0242 | 7.0485 | 1600 | 0.8305 | 75.1679 | |
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| 0.0158 | 7.9295 | 1800 | 0.8710 | 74.6305 | |
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| 0.0085 | 8.8106 | 2000 | 0.9019 | 73.2647 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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