metadata
license: apache-2.0
base_model: internlm/internlm2-chat-7b
datasets:
- CAS-SIAT-XinHai/CPsyCoun
language:
- zh
CPsyCounX
This model is a fine-tuned version of internlm/internlm2-chat-7b on the CPsyCounD dataset.
Model description
CPsyCounX is a large language model designed for Chinese Psychological Counseling.
Training and evaluation data
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 28
- total_train_batch_size: 448
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 9.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1