---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-1.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_eli5_balanced
  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. -->

# fine_tuned_eli5_balanced

This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0877
- Accuracy: 0.9782

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4283        | 0.1064 | 100  | 0.2736          | 0.9031   |
| 0.2571        | 0.2128 | 200  | 0.2150          | 0.9225   |
| 0.1891        | 0.3191 | 300  | 0.1402          | 0.9408   |
| 0.1541        | 0.4255 | 400  | 0.1498          | 0.9476   |
| 0.1554        | 0.5319 | 500  | 0.1427          | 0.9434   |
| 0.1291        | 0.6383 | 600  | 0.0966          | 0.9653   |
| 0.1038        | 0.7447 | 700  | 0.0928          | 0.9656   |
| 0.1007        | 0.8511 | 800  | 0.0870          | 0.9707   |
| 0.1037        | 0.9574 | 900  | 0.0838          | 0.9725   |
| 0.0563        | 1.0638 | 1000 | 0.1094          | 0.9749   |
| 0.0319        | 1.1702 | 1100 | 0.1193          | 0.9746   |
| 0.0541        | 1.2766 | 1200 | 0.0877          | 0.9782   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0