Update README.md

README.md

@@ -1,3 +1,57 @@
 ---
+language:
+- en
+datasets: 
+- kyujinpy/Open-platypus-Commercial
+library_name: transformers
+pipeline_tag: text-generation
 license: mit
 ---
+
+# **phi-2-test**  
+
+## Model Details   
+**Model Developers**  
+- field2437
+
+**Base Model**   
+- microsoft/phi-2(https://huggingface.co/microsoft/phi-2)   
+
+**Training Dataset**   
+- kyujinpy/Open-platypus-Commercial(https://huggingface.co/datasets/kyujinpy/Open-platypus-Commercial)  
+
+---  
+# Model comparisons1
+
+  
+---  
+# Model comparisons2
+> AI-Harness evaluation; [link](https://github.com/EleutherAI/lm-evaluation-harness)   
+   
+| Model | Copa | HellaSwag | BoolQ | MMLU |
+| --- | --- | --- | --- | --- |
+|  | 0-shot | 0-shot | 0-shot | 0-shot |
+| **field2437/phi-2-test** | 0.8900 | NaN | 0.5573 | NaN | 0.8260 | NaN | 0.5513 | NaN |
+  
+---
+# Sample Code
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+torch.set_default_device("cuda")
+
+model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2", torch_dtype="auto", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
+
+inputs = tokenizer('''def print_prime(n):
+   """
+   Print all primes between 1 and n
+   """''', return_tensors="pt", return_attention_mask=False)
+
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+print(text)
+```
+
+---