metadata
license: mit
base_model: TheBloke/zephyr-7B-alpha-GPTQ
tags:
- generated_from_trainer
- gptq
- peft
model-index:
- name: thesa
results: []
datasets:
- loaiabdalslam/counselchat
language:
- en
pipeline_tag: text-generation
Thesa: A Therapy Chatbot 👩🏻⚕️
Thesa is an experimental project of a therapy chatbot trained on mental health data and fine-tuned with the Zephyr GPTQ model that uses quantization to decrease high computatinal and storage costs.
Model description
- Model type: fine-tuned from TheBloke/zephyr-7B-alpha-GPTQ on various mental health datasets
- Language(s): English
- License: MIT
Intended uses & limitations
This model is purely experimental and should not be used as substitute for a mental health professional.
Training evaluation
Training loss:
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- warmup_ratio: 0.1
- train_batch_size: 8
- eval_batch_size: 8
- gradient_accumulation_steps: 1
- seed: 35
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
- fp16: True
Learning rate overtime (warm up ratio was used during training):
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Accelerate 0.27.2
- PEFT 0.8.2
- Auto-GPTQ 0.6.0
- TRL 0.7.11
- Optimum 1.17.1
- Bitsandbytes 0.42.0