metadata

library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_4
    results: []

careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_4

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: 2.9322

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: 3e-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
4.2234	1.0	674	2.9322

Framework versions

PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.0+cu124
Datasets 2.19.0
Tokenizers 0.20.1