---
library_name: transformers
license: other
base_model: Qwen/Qwen3-1.7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: Qwen3-1.7B-SFT-science-2e-5
  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. -->

# Qwen3-1.7B-SFT-science-2e-5

This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on the dolci_science_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7464

## 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: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9187        | 0.2985 | 230  | 0.8187          |
| 0.7641        | 0.5970 | 460  | 0.7886          |
| 0.7856        | 0.8954 | 690  | 0.7687          |
| 0.6880        | 1.1934 | 920  | 0.7622          |
| 0.7079        | 1.4918 | 1150 | 0.7541          |
| 0.7302        | 1.7903 | 1380 | 0.7464          |
| 0.6540        | 2.0882 | 1610 | 0.7521          |
| 0.6004        | 2.3867 | 1840 | 0.7504          |
| 0.6712        | 2.6852 | 2070 | 0.7492          |
| 0.6775        | 2.9837 | 2300 | 0.7490          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2