---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-0.6B
tags:
- generated_from_trainer
model-index:
- name: sft-count_loss-Qwen3-0.6B-mle0.5-ul0.5-tox0-e4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft-count_loss-Qwen3-0.6B-mle0.5-ul0.5-tox0-e4

This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9505

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7934        | 0.2899 | 200  | 1.3768          |
| 2.6787        | 0.5797 | 400  | 1.3584          |
| 2.7074        | 0.8696 | 600  | 1.3443          |
| 1.8508        | 1.1594 | 800  | 1.3934          |
| 1.9016        | 1.4493 | 1000 | 1.4017          |
| 1.8603        | 1.7391 | 1200 | 1.4073          |
| 1.7469        | 2.0290 | 1400 | 1.6987          |
| 0.9924        | 2.3188 | 1600 | 1.7187          |
| 1.0118        | 2.6087 | 1800 | 1.7246          |
| 0.9845        | 2.8986 | 2000 | 1.7222          |
| 0.5651        | 3.1884 | 2200 | 1.9391          |
| 0.5605        | 3.4783 | 2400 | 1.9573          |
| 0.553         | 3.7681 | 2600 | 1.9505          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1