---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: teknium/OpenHermes-2.5-Mistral-7B
model-index:
- name: Paper_Imp_Data_Augmented_1
  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. -->

# Paper_Imp_Data_Augmented_1

This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8094

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0944        | 0.08  | 30   | 1.6167          |
| 1.5308        | 0.16  | 60   | 1.0254          |
| 0.9718        | 0.23  | 90   | 0.8645          |
| 1.0394        | 0.31  | 120  | 0.8575          |
| 0.9591        | 0.39  | 150  | 0.8520          |
| 0.7642        | 0.47  | 180  | 0.8452          |
| 0.7454        | 0.54  | 210  | 0.8407          |
| 0.7823        | 0.62  | 240  | 0.8461          |
| 0.8669        | 0.7   | 270  | 0.8369          |
| 0.8827        | 0.78  | 300  | 0.8305          |
| 0.7243        | 0.85  | 330  | 0.8267          |
| 0.9427        | 0.93  | 360  | 0.8180          |
| 0.7446        | 1.01  | 390  | 0.8181          |
| 0.6774        | 1.09  | 420  | 0.8248          |
| 0.7981        | 1.16  | 450  | 0.8191          |
| 0.868         | 1.24  | 480  | 0.8147          |
| 0.7947        | 1.32  | 510  | 0.8140          |
| 0.7324        | 1.4   | 540  | 0.8122          |
| 0.8008        | 1.47  | 570  | 0.8114          |
| 0.749         | 1.55  | 600  | 0.8114          |
| 0.8133        | 1.63  | 630  | 0.8113          |
| 0.7606        | 1.71  | 660  | 0.8118          |
| 0.7209        | 1.78  | 690  | 0.8103          |
| 0.7236        | 1.86  | 720  | 0.8096          |
| 0.6766        | 1.94  | 750  | 0.8094          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0