language, license, pipeline_tag, model-index
| language |
license |
pipeline_tag |
model-index |
|
|
mit |
text-generation |
| name |
results |
| FusionNet_SOLAR |
| 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 |
71.59 |
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 |
88.4 |
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 |
65.29 |
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 |
81.06 |
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 |
50.95 |
accuracy |
|
|
|
|
|
|
|
FusionNet_SOLAR
Fine-tuned model on English language using SOLAR Fusion method.
Model description
This is an experiment with the SOLAR Fusion method of FusionNet. This model has 16B parameters, and this model is fine-tuned. Enjoy!
Detailed results can be found here
| Metric |
Value |
| Avg. |
71.08 |
| AI2 Reasoning Challenge (25-Shot) |
71.59 |
| HellaSwag (10-Shot) |
88.40 |
| MMLU (5-Shot) |
65.29 |
| TruthfulQA (0-shot) |
69.21 |
| Winogrande (5-shot) |
81.06 |
| GSM8k (5-shot) |
50.95 |