Update README.md

README.md

@@ -5,47 +5,25 @@ tags:
 model-index:
 - name: ProGemma
   results: []
+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. -->
 
 # ProGemma
 
-This model is a fine-tuned version of [JuIm/ProGemma](https://huggingface.co/JuIm/ProGemma) on an unknown dataset.
+This is a custom configuration of Google's Gemma 2 model that was pre-trained on amino acid sequences of lengths 0 to 512. 
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
+## Model description
 
-The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.4
-- training_steps: 5000
 
-### Training results
 
+## Intended uses & limitations
 
+The purpose of this model was to 
 
 ### Framework versions
 
 - Transformers 4.42.4
 - Pytorch 2.3.1+cu121
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1