README.md

metadata

library_name: transformers
license: other
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: MATH_training_sdft_response_Qwen2.5_1.5B_only_right
    results: []

MATH_training_sdft_response_Qwen2.5_1.5B_only_right

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the MATH_training_sdft_response_Qwen2.5_1.5B_only_right dataset. It achieves the following results on the evaluation set:

• Loss: 0.1098

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: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 8
• total_eval_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.1292	0.5305	200	0.1499
0.0429	1.0610	400	0.1301
0.0402	1.5915	600	0.1135

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1+cu124
• Datasets 3.1.0
• Tokenizers 0.20.3