---
library_name: peft
license: apache-2.0
base_model: NousResearch/Nous-Hermes-2-SOLAR-10.7B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 9871a2df-076d-41df-9855-adc30b892ead
  results: []
---

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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>

# 9871a2df-076d-41df-9855-adc30b892ead

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: 0.3663

## 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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 140
- 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        | 0.0004 | 1    | 0.9532          |
| 0.4759        | 0.0208 | 50   | 0.5046          |
| 0.5449        | 0.0416 | 100  | 0.5162          |
| 0.4928        | 0.0624 | 150  | 0.4712          |
| 0.4794        | 0.0832 | 200  | 0.4591          |
| 0.431         | 0.1040 | 250  | 0.4351          |
| 0.4421        | 0.1248 | 300  | 0.4267          |
| 0.3983        | 0.1456 | 350  | 0.3934          |
| 0.391         | 0.1664 | 400  | 0.3778          |
| 0.3407        | 0.1871 | 450  | 0.3683          |
| 0.4067        | 0.2079 | 500  | 0.3663          |


### Framework versions

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