---
library_name: transformers
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
datasets:
- TIGER-Lab/MathInstruct
model-index:
- name: 3e-6_noniid_layer_seq_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 3e-6_noniid_layer_seq_2

This model is a fine-tuned version of [/data/public_models/Meta-Llama-3-8B](https://huggingface.co//data/public_models/Meta-Llama-3-8B) on the TIGER-Lab/MathInstruct default 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: 3.1628923590540984e-07
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.0
- Tokenizers 0.20.3