---
library_name: peft
license: apache-2.0
base_model: Artples/L-MChat-7b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 83f42180-15c1-490a-b36a-7a9624357888
  results: []
---

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[<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>

# 83f42180-15c1-490a-b36a-7a9624357888

This model is a fine-tuned version of [Artples/L-MChat-7b](https://huggingface.co/Artples/L-MChat-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4879

## 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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 80
- 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    | 1.0814          |
| 1.3189        | 0.0094 | 50   | 0.8371          |
| 1.3853        | 0.0188 | 100  | 0.7781          |
| 1.3105        | 0.0282 | 150  | 0.7884          |
| 1.2717        | 0.0376 | 200  | 0.7464          |
| 1.2435        | 0.0470 | 250  | 0.7073          |
| 1.2082        | 0.0564 | 300  | 0.6344          |
| 1.1766        | 0.0658 | 350  | 0.5577          |
| 1.1059        | 0.0752 | 400  | 0.5161          |
| 1.0628        | 0.0846 | 450  | 0.4936          |
| 1.0453        | 0.0940 | 500  | 0.4879          |


### Framework versions

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