metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2-VL-2B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: qwen2-2b-instruct-OCR
results: []
qwen2-2b-instruct-OCR
This model is a fine-tuned version of Qwen/Qwen2-VL-2B-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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.3