careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_2

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9414

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • 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: linear
  • lr_scheduler_warmup_steps: 800
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.3394 1.0 674 3.9414

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.1
  • Pytorch 2.5.0+cu124
  • Datasets 2.19.0
  • Tokenizers 0.20.1
Downloads last month
9
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for Hazde/careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_2

Base model

Qwen/Qwen2.5-0.5B
Adapter
(58)
this model