---
library_name: transformers
base_model: VLSP2025-LegalSML/qwen3-1.7b-legal-pretrain
tags:
- generated_from_trainer
model-index:
- name: qwen3-1.7b-legal-pretrain-synthetic-8k
  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-legal-pretrain-synthetic-8k

This model is a fine-tuned version of [VLSP2025-LegalSML/qwen3-1.7b-legal-pretrain](https://huggingface.co/VLSP2025-LegalSML/qwen3-1.7b-legal-pretrain) on an unknown dataset.

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 256
- 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: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4