<!-- ---
base_model: /home/ray/default/save/SFT_merge
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Orca_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. -->

# Orca_End

This model is a fine-tuned version of [/home/ray/default/save/SFT_merge](https://huggingface.co//home/ray/default/save/SFT_merge) on the WordProblems_SFT_LLama_End dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1417

## 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: 2
- 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: 1000
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2267        | 0.2341 | 500  | 0.2229          |
| 0.177         | 0.4682 | 1000 | 0.1735          |
| 0.1592        | 0.7022 | 1500 | 0.1591          |
| 0.1572        | 0.9363 | 2000 | 0.1515          |
| 0.142         | 1.1704 | 2500 | 0.1472          |
| 0.1376        | 1.4045 | 3000 | 0.1441          |
| 0.1569        | 1.6386 | 3500 | 0.1425          |
| 0.1413        | 1.8727 | 4000 | 0.1417          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.3.0+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1