<!-- ---
base_model: /teamspace/studios/this_studio/save/SFT_merge
library_name: peft
license: other
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
model-index:
- name: LLama_End
  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. -->

# LLama_End

This model is a fine-tuned version of [/teamspace/studios/this_studio/save/SFT_merge](https://huggingface.co//teamspace/studios/this_studio/save/SFT_merge) on the WordProblems_SFT_LLama_End dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0769

## 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: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1013        | 0.2722 | 500  | 0.0977          |
| 0.0851        | 0.5444 | 1000 | 0.0865          |
| 0.0819        | 0.8167 | 1500 | 0.0826          |
| 0.0753        | 1.0889 | 2000 | 0.0804          |
| 0.0737        | 1.3611 | 2500 | 0.0786          |
| 0.0692        | 1.6333 | 3000 | 0.0773          |
| 0.0671        | 1.9055 | 3500 | 0.0769          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1