---
library_name: transformers
license: other
base_model: /root/models/MMfreeLM-2.7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: math_continue_pretrain
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# math_continue_pretrain

This model is a fine-tuned version of [/root/models/MMfreeLM-2.7B](https://huggingface.co//root/models/MMfreeLM-2.7B) on the the_stack dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7669

## 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: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- total_eval_batch_size: 8
- 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 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 2.21.0
- Tokenizers 0.20.1