---
library_name: peft
license: apache-2.0
base_model: Artples/L-MChat-7b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 6a8436fb-637a-457a-b1ea-e432841568f4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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>

# 6a8436fb-637a-457a-b1ea-e432841568f4

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: 0.4894

## 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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- 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    | 1.0817          |
| 1.3661        | 0.0094 | 50   | 0.7780          |
| 1.4111        | 0.0188 | 100  | 0.8434          |
| 1.3753        | 0.0282 | 150  | 0.7753          |
| 1.356         | 0.0376 | 200  | 0.7663          |
| 1.2593        | 0.0470 | 250  | 0.6700          |
| 1.1686        | 0.0564 | 300  | 0.6256          |
| 1.1292        | 0.0658 | 350  | 0.5762          |
| 1.0613        | 0.0752 | 400  | 0.5196          |
| 1.1085        | 0.0846 | 450  | 0.4948          |
| 1.0691        | 0.0940 | 500  | 0.4894          |


### Framework versions

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