language, license, datasets, model-index
language
license
datasets
model-index
apache-2.0
bigcode/starcoderdata
tiiuae/falcon-refinedweb
name
results
openllama-7b-base
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
AI2 Reasoning Challenge (25-Shot)
ai2_arc
ARC-Challenge
test
type
value
name
acc_norm
46.16
normalized accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
split
args
HellaSwag (10-Shot)
hellaswag
validation
type
value
name
acc_norm
76.4
normalized accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
MMLU (5-Shot)
cais/mmlu
all
test
type
value
name
acc
42.82
accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
TruthfulQA (0-shot)
truthful_qa
multiple_choice
validation
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
Winogrande (5-shot)
winogrande
winogrande_xl
validation
type
value
name
acc
70.88
accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
GSM8k (5-shot)
gsm8k
main
test
type
value
name
acc
9.63
accuracy
A Reproduction of OpenLLaMA using 128 H100 GPUs in Bfloat16.
The pretrain data consists of Falcon, Starcoder, and the wikipedia, arxiv, books, stackexchange from RedPajama. In total, this encompassed nearly 1 trillion tokens.
The model was trained over a single epoch, incorporating 2000 warm-up steps and a cosine learning rate schedule, starting at 3e-5 with 4M batch size.
Detailed results can be found here
Metric
Value
Avg.
47.09
AI2 Reasoning Challenge (25-Shot)
46.16
HellaSwag (10-Shot)
76.40
MMLU (5-Shot)
42.82
TruthfulQA (0-shot)
36.65
Winogrande (5-shot)
70.88
GSM8k (5-shot)
9.63