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---
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
|