README.md

metadata

library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-VL-7B-Instruct
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: qwen2.5-7b-instruct-Medical_Prescription_Reader
    results: []
datasets:
  - chinmays18/medical-prescription-dataset

qwen2.5-7b-instruct-Medical_Prescription_Reader

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on an unknown dataset.

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 5
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.13.0
• Transformers 4.55.0.dev0
• Pytorch 2.4.0+cu121
• Datasets 3.0.1
• Tokenizers 0.21.4