---
library_name: peft
license: other
base_model: Qwen/Qwen1.5-14B-Chat
tags:
- axolotl
- generated_from_trainer
model-index:
- name: fedf2c0e-0136-4109-9798-c8325ffde7b7
  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>

# fedf2c0e-0136-4109-9798-c8325ffde7b7

This model is a fine-tuned version of [Qwen/Qwen1.5-14B-Chat](https://huggingface.co/Qwen/Qwen1.5-14B-Chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3560

## 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: 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        | 0.0004 | 1    | 4.3035          |
| 1.4421        | 0.0184 | 50   | 1.6612          |
| 1.4402        | 0.0368 | 100  | 1.5571          |
| 1.3421        | 0.0552 | 150  | 1.5231          |
| 1.3408        | 0.0736 | 200  | 1.4979          |
| 1.2905        | 0.0920 | 250  | 1.4550          |
| 1.2334        | 0.1104 | 300  | 1.4277          |
| 1.2774        | 0.1287 | 350  | 1.3971          |
| 1.2919        | 0.1471 | 400  | 1.3676          |
| 1.2688        | 0.1655 | 450  | 1.3582          |
| 1.2712        | 0.1839 | 500  | 1.3560          |


### Framework versions

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