MCPcopy Create free account
hub / github.com/CERT-Lab/lora-sb / batch_data

Function batch_data

instruction_tuning_eval/MATH_eval.py:48–59  ·  view source on GitHub ↗
(data_list, batch_size=1)

Source from the content-addressed store, hash-verified

46
47
48def batch_data(data_list, batch_size=1):
49 n = len(data_list) // batch_size
50 batch_data = []
51 for i in range(n-1):
52 start = i * batch_size
53 end = (i+1)*batch_size
54 batch_data.append(data_list[start:end])
55
56 last_start = (n-1) * batch_size
57 last_end = MAX_INT
58 batch_data.append(data_list[last_start:last_end])
59 return batch_data
60
61
62def test_hendrycks_math(model, data_path, start=0, end=MAX_INT, batch_size=1, tensor_parallel_size=1):

Callers 1

test_hendrycks_mathFunction · 0.70

Calls

no outgoing calls

Tested by 1

test_hendrycks_mathFunction · 0.56