update readme

README.md

@@ -1,13 +1,18 @@
 ---
 library_name: transformers
-base_model: output/llama2-ddm
+base_model:
+- meta-llama/Llama-2-7b-hf
 tags:
 - llama-factory
 - full
-- generated_from_trainer
+- diffusion
 model-index:
 - name: diffullama
   results: []
+license: mit
+datasets:
+- bigcode/starcoderdata
+- cerebras/SlimPajama-627B
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,36 +20,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 # diffullama
 
-This model is a fine-tuned version of [output/llama2-ddm](https://huggingface.co/output/llama2-ddm) on an unknown dataset.
+This model is a fine-tuned version of [llama2].
 
 ## Model description
 
-More information needed
+Details and model loading can be seen [https://github.com/HKUNLP/DiffuLLaMA](https://github.com/HKUNLP/DiffuLLaMA).
 
-## 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: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.1.1+cu121
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1