---
library_name: transformers
license: other
base_model: Qwen/Qwen3-1.7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: lf_final_v8
  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. -->

# lf_final_v8

This model is a fine-tuned version of [/mnt/dolphinfs/hdd_pool/docker/user/hadoop-ht-oedatamining/wujintao09-2/LLM-Rec-Train/output/platform_best](https://huggingface.co//mnt/dolphinfs/hdd_pool/docker/user/hadoop-ht-oedatamining/wujintao09-2/LLM-Rec-Train/output/platform_best) on the llmrec_final_v8 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: 5e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 2026
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- 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_ratio: 0.05
- training_steps: 150

### Training results



### Framework versions

- Transformers 4.52.4
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.21.4