Update README.md

README.md

@@ -5,29 +5,29 @@ tags:
 - trl
 - sft
 - generated_from_trainer
+- peft
+- gptq
 model-index:
-- name: thesa_2
+- name: thesa
   results: []
+language:
+- en
+datasets:
+- loaiabdalslam/counselchat
+pipeline_tag: text-generation
 ---
 
-<!-- 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. -->
+# Thesa
 
-# thesa_2
-
-This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ) on the None dataset.
+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
 
-More information needed
+- Fine-tuned from [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-alpha-GPTQ)
 
 ## Intended uses & limitations
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
+The intended use is experimental.
 
 ## Training procedure
 
@@ -43,9 +43,6 @@ The following hyperparameters were used during training:
 - training_steps: 250
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
 
 ### Framework versions
 
@@ -53,3 +50,6 @@ The following hyperparameters were used during training:
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.1
+
+## More info
+More info at https://github.com/johnhandleyd/thesa