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---
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
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