Update README.md
Browse files
README.md
CHANGED
@@ -31,7 +31,7 @@ license: mit
|
|
31 |
| Model | Copa | HellaSwag | BoolQ | MMLU |
|
32 |
| --- | --- | --- | --- | --- |
|
33 |
| | 0-shot | 0-shot | 0-shot | 0-shot |
|
34 |
-
| **field2437/phi-2-test** | 0.8900 |
|
35 |
|
36 |
---
|
37 |
# Sample Code
|
@@ -44,10 +44,13 @@ torch.set_default_device("cuda")
|
|
44 |
model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2", torch_dtype="auto", trust_remote_code=True)
|
45 |
tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
|
46 |
|
47 |
-
inputs = tokenizer('''
|
48 |
-
|
49 |
-
|
50 |
-
|
|
|
|
|
|
|
51 |
|
52 |
outputs = model.generate(**inputs, max_length=200)
|
53 |
text = tokenizer.batch_decode(outputs)[0]
|
|
|
31 |
| Model | Copa | HellaSwag | BoolQ | MMLU |
|
32 |
| --- | --- | --- | --- | --- |
|
33 |
| | 0-shot | 0-shot | 0-shot | 0-shot |
|
34 |
+
| **field2437/phi-2-test** | 0.8900 | 0.5573 | 0.8260 | 0.5513 |
|
35 |
|
36 |
---
|
37 |
# Sample Code
|
|
|
44 |
model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2", torch_dtype="auto", trust_remote_code=True)
|
45 |
tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
|
46 |
|
47 |
+
inputs = tokenizer('''Below is an instruction that describes a task. Write a response that appropriately completes the request.
|
48 |
+
|
49 |
+
### Instruction:
|
50 |
+
Let $f(x)$ be the polynomial \\[f(x)=3x^4+5x^2-9x-2.\\] If $g(x)$ is equal to the polynomial $f(x-1)$, what is the sum of the coefficients of $g$?
|
51 |
+
|
52 |
+
### Response:
|
53 |
+
''', return_tensors="pt", return_attention_mask=False)
|
54 |
|
55 |
outputs = model.generate(**inputs, max_length=200)
|
56 |
text = tokenizer.batch_decode(outputs)[0]
|