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finetuned-qwen2-medicine-normalizer
AshwinManohar/finetuned-qwen2-medicine-normalizer
finetuned-qwen2-medicine-normalizer is a text generation model from AshwinManohar. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 14, 2025
- Updated
- Sep 14, 2025
- SHA
- 4508caa7
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
finetuned-qwen2-medicine-normalizer
This model is a fine-tuned version of Qwen/Qwen2-1.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2187
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2381 | 1.0 | 900 | 0.2251 |
| 0.1806 | 2.0 | 1800 | 0.2240 |
| 0.1872 | 3.0 | 2700 | 0.2187 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- Sep 14, 2025
- Updated
- Sep 14, 2025