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CPsyCounX
CAS-SIAT-XinHai/CPsyCounX
CPsyCounX is a feature extraction model from CAS-SIAT-XinHai. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of internlm/internlm2-chat-7b on the CPsyCounD dataset.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- internlm2
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jul 22, 2024
- SHA
- 1c9464c5
Base models
Datasets
Model card
From the Hugging Face model README
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. Paper: CPsyCoun.
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
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- internlm2
- License
- apache-2.0
- Languages
- zh
- Created
- Jun 5, 2024
- Updated
- Jul 22, 2024