---
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