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End of training

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  1. README.md +79 -0
  2. generation_config.json +248 -0
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-medium
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - yashtiwari/PaulMooney-Medical-ASR-Data
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Medium Medical
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Medical ASR
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+ type: yashtiwari/PaulMooney-Medical-ASR-Data
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 12.406468742457157
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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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+ # Whisper Medium Medical
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Medical ASR dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0995
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+ - Wer: 12.4065
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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: 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: 50
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+ - training_steps: 500
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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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+ | 0.7532 | 0.1357 | 100 | 0.2695 | 13.0099 |
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+ | 0.2155 | 0.2714 | 200 | 0.2053 | 9.8238 |
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+ | 0.2392 | 0.4071 | 300 | 0.1567 | 8.9549 |
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+ | 0.151 | 0.5427 | 400 | 0.1159 | 6.9273 |
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+ | 0.1439 | 0.6784 | 500 | 0.0995 | 12.4065 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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