---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on a [text dataset](https://www.kaggle.com/datasets/meshcheriakovilya/fantasy-books).
It achieves the following results on the evaluation set:
- Loss: 0.0422

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1222        | 0.2603 | 500  | 0.1168          |
| 0.0751        | 0.5206 | 1000 | 0.0764          |
| 0.0692        | 0.7808 | 1500 | 0.0636          |
| 0.043         | 1.0411 | 2000 | 0.0551          |
| 0.0439        | 1.3014 | 2500 | 0.0497          |
| 0.0411        | 1.5617 | 3000 | 0.0465          |
| 0.0373        | 1.8220 | 3500 | 0.0422          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1