Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
Paper • 2407.03103 • Published • 1
Thera-Bot-2025-04-28_04.56.49
This model is a fine-tuned version of Navid-AI/Yehia-7B-preview on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.4.1+cu121
- Datasets 3.5.1
- Tokenizers 0.21.1
Other info
- Credits to this research paper: Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
- Original dataset: cactus-camel/cactus
- Preprocessed dataset 🛠️🧹: Mariam23232/cactus-instruction-template
- Model selected to fine tune 🤖: Navid-AI/Yehia-7B-preview
- why❓
- From top arabic open source LLMs
- 7 Billion parameter
- English language support in addition to arabic
- why❓
- Evaluation dataset: cactus-camel/CounselingEval
- GGUF Format of the model: Thera-Bot-2025-04-28_04.56.49-GGUF
- File name to be used: Therabot-1stEpochEnd-Q4_K_M.gguf
- Downloads last month
- 13
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Mariam23232/Thera-Bot-2025-04-28_04.56.49
Base model
humain-ai/ALLaM-7B-Instruct-preview Finetuned
Navid-AI/Yehia-7B-preview