---
library_name: peft
license: apache-2.0
base_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: ecc2b8dc-3f2b-485b-ad43-af7d64536eea
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# ecc2b8dc-3f2b-485b-ad43-af7d64536eea

This model is a fine-tuned version of [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3961

## 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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0002 | 1    | 0.9534          |
| 0.5504        | 0.0104 | 50   | 0.5831          |
| 0.6452        | 0.0208 | 100  | 0.5537          |
| 0.5554        | 0.0312 | 150  | 0.5378          |
| 0.566         | 0.0416 | 200  | 0.5338          |
| 0.4541        | 0.0520 | 250  | 0.5013          |
| 0.4437        | 0.0624 | 300  | 0.4651          |
| 0.4195        | 0.0728 | 350  | 0.4388          |
| 0.4642        | 0.0832 | 400  | 0.4156          |
| 0.3864        | 0.0936 | 450  | 0.3997          |
| 0.4153        | 0.1040 | 500  | 0.3961          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1