---
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_new_format_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_new_format_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: 0.5958

## 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: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 200
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9184        | 0.33  | 9    | 0.9121          |
| 0.8543        | 0.67  | 18   | 0.7775          |
| 0.712         | 1.0   | 27   | 0.6491          |
| 0.6182        | 1.33  | 36   | 0.6139          |
| 0.5267        | 1.67  | 45   | 0.5951          |
| 0.5141        | 2.0   | 54   | 0.5840          |
| 0.454         | 2.33  | 63   | 0.5961          |
| 0.4618        | 2.67  | 72   | 0.5944          |
| 0.4989        | 3.0   | 81   | 0.5944          |
| 0.3703        | 3.33  | 90   | 0.6079          |
| 0.4162        | 3.67  | 99   | 0.5984          |
| 0.4135        | 4.0   | 108  | 0.5958          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0