| --- |
| license: other |
| base_model: Qwen/Qwen1.5-14B-Chat |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: PsycoLLM |
| 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. --> |
|
|
| # PsycoLLM 心理大模型 |
|
|
| This model is a fine-tuned version of [Qwen/Qwen1.5-14B-Chat](https://huggingface.co//data/zonepg/models/Qwen/Qwen1.5-14B-Chat) on the QAs, the ds and the dialogue datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3823 |
|
|
| ## Model description |
|
|
| We will open source the entire dataset in the future. Please keep focusing on our work. |
|
|
| ## 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 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 3.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.2867 | 0.63 | 100 | 1.2870 | |
| | 0.9624 | 1.27 | 200 | 1.2869 | |
| | 0.9492 | 1.9 | 300 | 1.2718 | |
| | 0.6774 | 2.53 | 400 | 1.3823 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.1 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
| |
| ## Citation |
| |
| If this work is helpful, please kindly cite as: |
| |
| ```bibtex |
| @ARTICLE{10772313, |
| author={Hu, Jinpeng and Dong, Tengteng and Luo, Gang and Ma, Hui and Zou, Peng and Sun, Xiao and Guo, Dan and Yang, Xun and Wang, Meng}, |
| journal={IEEE Transactions on Computational Social Systems}, |
| title={PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation}, |
| year={2025}, |
| volume={12}, |
| number={2}, |
| pages={539-551}, |
| keywords={Benchmark testing;Mental health;Law;Electronic mail;Context modeling;Knowledge based systems;Data mining;Transformers;Training;Large language models;Large language model (LLM);mental health;psychological evaluation;psychological understanding}, |
| doi={10.1109/TCSS.2024.3497725}} |
| ``` |
| |
