CCsky123/Qwen2.5-7B-Instruct-Eng-ContinueWriting-Analyzer

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train_2025-06-08-12-52-08

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the 你的数据集 dataset.

Model description

This model is a fine-tuned LoRA adapter based on Qwen2.5-7B-Instruct , designed to provide structured analysis for continuation writing tasks in high school English education.

Intended uses & limitations

1. 1.Prompt Analysis Mode
2. 2.Input: Original continuation writing passage (the given text).
3. 3.Output: A structured prompt analysis , including key themes, required plot directions, and stylistic expectations.
4. 4.Essay Evaluation Mode
5. 5.Input:
6. 6.Original passage
7. 7.Pre-generated prompt analysis (from this model)
8. 8.Student’s continuation writing essay
9. 9.Output: A structured essay evaluation , covering coherence, language use, plot consistency, and improvement suggestions.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 6.0

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.45.2
• —Pytorch 2.4.1+cu121
• —Datasets 2.21.0
• —Tokenizers 0.20.1