---
license: other
base_model: MathSymbol/BasicSFT_1.8_Pretrain_Lightning
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: WordProblem
  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. -->

# WordProblem

This model is a fine-tuned version of [MathSymbol/BasicSFT_1.8_Pretrain_Lightning](https://huggingface.co/MathSymbol/BasicSFT_1.8_Pretrain_Lightning) on the WordProblems_SFT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1677

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1923        | 0.1645 | 1500 | 0.1849          |
| 0.176         | 0.3289 | 3000 | 0.1761          |
| 0.1736        | 0.4934 | 4500 | 0.1709          |
| 0.1688        | 0.6579 | 6000 | 0.1682          |
| 0.1689        | 0.8223 | 7500 | 0.1677          |
| 0.168         | 0.9868 | 9000 | 0.1677          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1