---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-1.5B-Instruct
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: training_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. -->

# training_results

This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3345
- F1: 0.7726

## 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: 2
- eval_batch_size: 1
- seed: 2025
- optimizer: Use 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2853        | 1.0   | 1071 | 0.2093          | 0.7665 |
| 0.0465        | 2.0   | 2142 | 0.2988          | 0.7690 |
| 0.0143        | 3.0   | 3213 | 0.3345          | 0.7726 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.2.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0