---
library_name: transformers
license: other
base_model: SimpleBerry/LLaMA-O1-Base-1127
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: longcot_sft_llama3.1_ZD_11_29_1
  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. -->

# longcot_sft_llama3.1_ZD_11_29_1

This model is a fine-tuned version of [/mnt/hwfile/ai4chem/CKPT/longcot_pt_llama3.1_ZD_11_29_1/](https://huggingface.co//mnt/hwfile/ai4chem/CKPT/longcot_pt_llama3.1_ZD_11_29_1/) on the longcot_sft_1 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 24
- gradient_accumulation_steps: 16
- total_train_batch_size: 384
- total_eval_batch_size: 192
- optimizer: Use OptimizerNames.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: 2.0

### Training results



### Framework versions

- Transformers 4.46.2
- Pytorch 2.3.1
- Datasets 3.1.0
- Tokenizers 0.20.1