license, library_name, base_model, datasets, model-index
| license |
library_name |
base_model |
datasets |
model-index |
| cc-by-nc-4.0 |
transformers |
|
| jondurbin/gutenberg-dpo-v0.1 |
|
| name |
results |
| Lyra-Gutenberg-mistral-nemo-12B |
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| IFEval (0-Shot) |
HuggingFaceH4/ifeval |
|
|
| type |
value |
name |
| inst_level_strict_acc and prompt_level_strict_acc |
34.95 |
strict accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| BBH (3-Shot) |
BBH |
|
|
| type |
value |
name |
| acc_norm |
36.99 |
normalized accuracy |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| MATH Lvl 5 (4-Shot) |
hendrycks/competition_math |
|
|
| type |
value |
name |
| exact_match |
8.31 |
exact match |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| GPQA (0-shot) |
Idavidrein/gpqa |
|
|
| type |
value |
name |
| acc_norm |
11.19 |
acc_norm |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
args |
| MuSR (0-shot) |
TAUR-Lab/MuSR |
|
|
| type |
value |
name |
| acc_norm |
14.76 |
acc_norm |
|
|
|
|
| task |
dataset |
metrics |
source |
| type |
name |
| text-generation |
Text Generation |
|
| name |
type |
config |
split |
args |
| MMLU-PRO (5-shot) |
TIGER-Lab/MMLU-Pro |
main |
test |
|
|
| type |
value |
name |
| acc |
29.2 |
accuracy |
|
|
|
|
|
|
|
Lyra-Gutenberg-12B
Sao10K/MN-12B-Lyra-v1 finetuned on jondurbin/gutenberg-dpo-v0.1.
Method
Finetuned using an A100 on Google Colab for 3 epochs.
Fine-tune Llama 3 with ORPO
Detailed results can be found here
| Metric |
Value |
| Avg. |
22.57 |
| IFEval (0-Shot) |
34.95 |
| BBH (3-Shot) |
36.99 |
| MATH Lvl 5 (4-Shot) |
8.31 |
| GPQA (0-shot) |
11.19 |
| MuSR (0-shot) |
14.76 |
| MMLU-PRO (5-shot) |
29.20 |