language, license, tags, datasets, pipeline_tag, model-index
| language |
license |
tags |
datasets |
pipeline_tag |
model-index |
|
|
apache-2.0 |
| conversation |
| text-generation-inference |
| CultriX/NeuralTrix-7B-dpo |
| dpo |
| merge |
|
| argilla/OpenHermes2.5-dpo-binarized-alpha |
|
text-generation |
| name |
results |
| dpo-binarized-NeuralTrix-7B |
| 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 |
72.35 |
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 |
88.89 |
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 |
64.09 |
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 |
84.61 |
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 |
68.01 |
accuracy |
|
|
|
|
|
|
|
DPO Finetuned CultriX/NeuralTrix-7B-dpo using argilla/OpenHermes2.5-dpo-binarized-alpha
argilla dpo binarized pairs is a dataset built on top of: https://huggingface.co/datasets/teknium/OpenHermes-2.5 using https://github.com/argilla-io/distilabel if interested.
Thx for the great data sources.
Detailed results can be found here
| Metric |
Value |
| Avg. |
76.17 |
| AI2 Reasoning Challenge (25-Shot) |
72.35 |
| HellaSwag (10-Shot) |
88.89 |
| MMLU (5-Shot) |
64.09 |
| TruthfulQA (0-shot) |
79.07 |
| Winogrande (5-shot) |
84.61 |
| GSM8k (5-shot) |
68.01 |