---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: saves/Orca/merge_unload
model-index:
- name: SFT
  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. -->

# SFT

This model is a fine-tuned version of [saves/Orca/merge_unload](https://huggingface.co/saves/Orca/merge_unload) on the WordProblems_SFT dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1966

## 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
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2823        | 0.2425 | 250  | 0.2783          |
| 0.2186        | 0.4850 | 500  | 0.2229          |
| 0.2227        | 0.7274 | 750  | 0.2104          |
| 0.1965        | 0.9699 | 1000 | 0.2038          |
| 0.2001        | 1.2124 | 1250 | 0.2003          |
| 0.2087        | 1.4549 | 1500 | 0.1980          |
| 0.1932        | 1.6974 | 1750 | 0.1969          |
| 0.2044        | 1.9399 | 2000 | 0.1966          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.0.1+cu118
- Datasets 2.17.1
- Tokenizers 0.19.1