metadata

library_name: transformers
license: other
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: sft
    results: []

sft

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the cot_normal and the cot_math datasets. It achieves the following results on the evaluation set:

Loss: 0.3227

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
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0

Training results

Framework versions

Transformers 4.46.1
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3