---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
tags:
- generated_from_trainer
model-index:
- name: Qwen3-0.6B-finetuned-astro_horoscope_use_FA2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Qwen3-0.6B-finetuned-astro_horoscope_use_FA2

This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1320

## 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: 16
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4184        | 1.0   | 1236 | 2.3954          |
| 2.0724        | 2.0   | 2472 | 2.1555          |
| 2.0323        | 3.0   | 3708 | 2.1320          |


### Framework versions

- Transformers 5.5.4
- Pytorch 2.7.1+cu118
- Datasets 4.8.4
- Tokenizers 0.22.2