metadata

library_name: peft
license: other
base_model: prithivMLmods/Qwen2-VL-OCR-2B-Instruct
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: train_2025-04-01-09-06-36
    results: []

train_2025-04-01-09-06-36

This model is a fine-tuned version of prithivMLmods/Qwen2-VL-OCR-2B-Instruct on the OCR_Finetuning_Dataset 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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0

Training results

Framework versions

PEFT 0.15.0
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0