---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-14B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: LeanCoT_qwen2.5_14B_sft
  results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LeanCoT_qwen2.5_14B_sft

This model is a fine-tuned version of [/AI4M/users/qzh/dotLLM/LLaMA-Factory/saves/LeanCoT_qwen2.5_14B_pt](https://huggingface.co//AI4M/users/qzh/dotLLM/LLaMA-Factory/saves/LeanCoT_qwen2.5_14B_pt) on the combine_lean_cot 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.20.3