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

# teknium/OpenHermes-2.5-Mistral-7B

This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4764

## 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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 220

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6429        | 0.23  | 10   | 1.3400          |
| 1.2684        | 0.47  | 20   | 1.0591          |
| 1.0218        | 0.7   | 30   | 0.8600          |
| 0.8095        | 0.93  | 40   | 0.7113          |
| 0.6887        | 1.16  | 50   | 0.6353          |
| 0.6207        | 1.4   | 60   | 0.5958          |
| 0.5726        | 1.63  | 70   | 0.5717          |
| 0.5639        | 1.86  | 80   | 0.5548          |
| 0.5496        | 2.09  | 90   | 0.5409          |
| 0.5353        | 2.33  | 100  | 0.5297          |
| 0.4968        | 2.56  | 110  | 0.5204          |
| 0.5031        | 2.79  | 120  | 0.5118          |
| 0.4906        | 3.02  | 130  | 0.5053          |
| 0.4671        | 3.26  | 140  | 0.5015          |
| 0.4734        | 3.49  | 150  | 0.4960          |
| 0.4734        | 3.72  | 160  | 0.4890          |
| 0.4522        | 3.95  | 170  | 0.4857          |
| 0.44          | 4.19  | 180  | 0.4824          |
| 0.4376        | 4.42  | 190  | 0.4797          |
| 0.4361        | 4.65  | 200  | 0.4778          |
| 0.4428        | 4.88  | 210  | 0.4769          |
| 0.4591        | 5.12  | 220  | 0.4764          |


### Framework versions

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