experimental model to expose arco to some reasoning
after some research i notice i was finetuning models with super high lr, further models should be better since will maintain most of the power of arco
Task
Score
Metric
ARC Challenge
0.3473
acc_norm
HellaSwag
0.5986
acc_norm
MMLU
0.2489
acc
PIQA
0.7318
acc_norm
Winogrande
0.6259
acc
This table presents the extracted scores in a clear, tabular format. The "Task" column shows the name of each benchmark, the "Score" column displays the corresponding value, and the "Metric" column indicates whether the score is acc_norm or acc.
format is this:
Instruction: <your instruction>
Reasoning: // starting from here, the model will start to generate the resoning and output
Output:
Uploaded model
Developed by: appvoid
License: apache-2.0
Finetuned from model : appvoid/arco
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.