language, license, tags, pipeline_tag, model-index
language
license
tags
pipeline_tag
model-index
mit
text-generation
name
results
FusionNet
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
71.25
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
88.42
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
66.36
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
83.27
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
65.05
accuracy
FusionNet
Fine-tuned model on English language using Fusion method.
Model description
The FusionNet is a model to experiment with the "Fusion" method, which could significantly increase the performance of the original model. The FusionNet has 10.7B parameters, and this model is fine-tuned. Enjoy!
Detailed results can be found here
Metric
Value
Avg.
74.38
AI2 Reasoning Challenge (25-Shot)
71.25
HellaSwag (10-Shot)
88.42
MMLU (5-Shot)
66.36
TruthfulQA (0-shot)
71.95
Winogrande (5-shot)
83.27
GSM8k (5-shot)
65.05