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--- |
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base_model: HariprasathSB/indic-whisper-vulnerable |
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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-vulnerable1 |
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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-vulnerable1 |
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This model is a fine-tuned version of [HariprasathSB/indic-whisper-vulnerable](https://huggingface.co/HariprasathSB/indic-whisper-vulnerable) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0378 |
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- Wer: 72.3914 |
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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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| 0.0175 | 0.8811 | 200 | 0.9461 | 75.1567 | |
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| 0.0294 | 1.7621 | 400 | 0.9488 | 75.5710 | |
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| 0.0227 | 2.6432 | 600 | 0.9532 | 73.7349 | |
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| 0.0123 | 3.5242 | 800 | 0.9391 | 74.6865 | |
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| 0.0059 | 4.4053 | 1000 | 1.0054 | 73.3318 | |
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| 0.0032 | 5.2863 | 1200 | 1.0145 | 75.1008 | |
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| 0.0022 | 6.1674 | 1400 | 1.0115 | 73.1975 | |
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| 0.0011 | 7.0485 | 1600 | 1.0310 | 72.8168 | |
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| 0.0008 | 7.9295 | 1800 | 1.0431 | 72.4250 | |
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| 0.0002 | 8.8106 | 2000 | 1.0378 | 72.3914 | |
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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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