---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B
tags:
- generated_from_trainer
datasets:
- TIGER-Lab/MathInstruct
metrics:
- accuracy
model-index:
- name: 1e-6_noniid_disc8
  results:
  - task:
      type: text-generation
      name: Causal Language Modeling
    dataset:
      name: TIGER-Lab/MathInstruct default
      type: TIGER-Lab/MathInstruct
      args: default
    metrics:
    - type: accuracy
      value: 0.67
      name: Accuracy
---

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# 1e-6_noniid_disc8

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the TIGER-Lab/MathInstruct default dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6805
- Accuracy: 0.67

## 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: 1.8825509907063326e-07
- train_batch_size: 1
- eval_batch_size: 1
- 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

- PEFT 0.11.1
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 2.19.0
- Tokenizers 0.20.3