Update README.md

README.md

@@ -1,58 +1,21 @@
 ---
 license: other
-library_name: peft
-tags:
-- llama-factory
-- lora
-- generated_from_trainer
-base_model: abacusai/Smaug-72B-v0.1
-model-index:
-- name: train_2024-02-17-03-49-55
-  results: []
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+base_model: jondurbin/bagel-34b-v0.2
 ---
 
-<!-- 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. -->
+![image/png](https://i.ibb.co/9VB5SHL/OIG1-3.jpg)
 
-# train_2024-02-17-03-49-55
+# ConvexAI/Luminex-72B-v0.1
+This model is [Smaug-34b](https://huggingface.co/abacusai/Smaug-34B-v0.1) with LaserRMT applied.
 
-This model is a fine-tuned version of [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) on the Neural-DPO dataset.
 
-## Model description
+### Evaluation Results
 
-More information needed
+Coming Soon
 
-## Intended uses & limitations
+### Contamination Results
 
-More information needed
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.8.2
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.17.0
-- Tokenizers 0.15.2
+Coming Soon