Visualize in Weights & Biases

sft_P3_lora-sft-3

This model is a fine-tuned version of Qwen/Qwen2-0.5B on the None 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: 1.41e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2.0

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.43.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
6
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for MaxwellJryao/sft_P3_lora-sft-3

Base model

Qwen/Qwen2-0.5B
Adapter
(268)
this model