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SatwikDutta
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2026-02-03_18-23-36

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files
xet
 Metrics Community
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  1. README.md +70 -0
  2. generation_config.json +101 -0
  3. model.safetensors +1 -1
  4. runs/Feb03_18-23-36_v330-023.ls6.tacc.utexas.edu/events.out.tfevents.1770164628.v330-023.ls6.tacc.utexas.edu.554152.0 +2 -2
README.md ADDED
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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-small.en
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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: 2026-02-03_18-23-36
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+ results: []
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+ ---
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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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+
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+ # 2026-02-03_18-23-36
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+
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+ This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1047
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+ - Wer: 11.3055
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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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: 500
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+ - training_steps: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 2.1664 | 0.1123 | 500 | 1.2593 | 13.2340 |
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+ | 1.1469 | 0.2247 | 1000 | 1.1781 | 11.9997 |
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+ | 1.1 | 0.3370 | 1500 | 1.1463 | 11.7543 |
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+ | 1.0623 | 0.4493 | 2000 | 1.1338 | 11.6869 |
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+ | 1.0446 | 0.5617 | 2500 | 1.1211 | 11.5059 |
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+ | 1.0408 | 0.6740 | 3000 | 1.1142 | 11.6748 |
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+ | 1.0323 | 0.7863 | 3500 | 1.1078 | 11.4361 |
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+ | 1.0203 | 0.8987 | 4000 | 1.1047 | 11.3055 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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