End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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language:
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- en
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license: apache-2.0
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base_model: openai/whisper-base.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: Whisper Base English with Phone Control Data - Navin Kumar J
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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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# Whisper Base English with Phone Control Data - Navin Kumar J
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0160
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- Wer: 0.0076
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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: 0.0001
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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: 10
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- training_steps: 200
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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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| 0.0438 | 0.9091 | 40 | 0.0600 | 0.0107 |
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| 0.0 | 1.8182 | 80 | 0.0382 | 0.0092 |
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| 0.0 | 2.7273 | 120 | 0.0248 | 0.0076 |
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| 0.0 | 3.6364 | 160 | 0.0169 | 0.0076 |
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| 0.0 | 4.5455 | 200 | 0.0160 | 0.0076 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.7.0+cu126
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 290401888
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