qwen2-7b-instruct-tg-v1

This model is a fine-tuned version of Qwen/Qwen2-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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 5

Training results

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.4.1
  • Datasets 3.0.1
  • Tokenizers 0.20.0
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for anaghasavit/qwen2-7b-instruct-tg-v1

Base model

Qwen/Qwen2-VL-7B
Adapter
(80)
this model