Edit model card

tmp_trainer

This model is a fine-tuned version of Qwen/Qwen1.5-1.8B-Chat 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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • PEFT 0.11.1.dev0
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
4
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for dugoalberto/QwenChat_1.5_Python22kLoRA

Adapter
(303)
this model