---
library_name: peft
license: apache-2.0
base_model: unsloth/Mistral-Nemo-Instruct-2407
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c6a7d94d-87fe-4324-97f9-9eb281816126
  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>

# c6a7d94d-87fe-4324-97f9-9eb281816126

This model is a fine-tuned version of [unsloth/Mistral-Nemo-Instruct-2407](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4064

## 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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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        | 0.0006 | 1    | 1.9435          |
| 2.8684        | 0.0284 | 50   | 1.6913          |
| 2.6079        | 0.0569 | 100  | 1.8584          |
| 2.7994        | 0.0853 | 150  | 1.5660          |
| 2.8734        | 0.1137 | 200  | 1.5357          |
| 2.7882        | 0.1421 | 250  | 1.4961          |
| 2.1726        | 0.1706 | 300  | 1.4906          |
| 2.9029        | 0.1990 | 350  | 1.4492          |
| 2.2538        | 0.2274 | 400  | 1.4112          |
| 2.4219        | 0.2558 | 450  | 1.3987          |
| 2.8161        | 0.2843 | 500  | 1.4064          |


### Framework versions

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