metadata

base_model: Qwen/Qwen2.5-0.5B-Instruct
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: checkpoint-12
    results: []

checkpoint-12

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1+cpu
Datasets 3.0.1
Tokenizers 0.20.0