Model Details
This model is a 1B llama3 model pretrained from scratch with torchtitan on fineweb-edu with AdamW optimizer. 20x chinchilla rule for 20B tokens seen.
How to use
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="kz919/llama3_1b_chinchilla_8132025",
)
print(pipe("The key to life is"))
Downstream Eval
ARC, Hellaswag, Lambda_OpenAI, OpenbookQA, PIQA
lm_eval --model hf --model_args pretrained=kz919/llama3_1b_chinchilla_8142025,dtype="bfloat16",add_bos_token=True --tasks lambada_openai,hellaswag,piqa,arc_easy,arc_challenge,openbookqa --device cuda:7 --batch_size 8
| Tasks |
Version |
Filter |
n-shot |
Metric |
|
Value |
|
Stderr |
| arc_challenge |
1 |
none |
0 |
acc |
↑ |
0.2688 |
± |
0.0130 |
|
|
none |
0 |
acc_norm |
↑ |
0.2875 |
± |
0.0132 |
| arc_easy |
1 |
none |
0 |
acc |
↑ |
0.6082 |
± |
0.0100 |
|
|
none |
0 |
acc_norm |
↑ |
0.5412 |
± |
0.0102 |
| hellaswag |
1 |
none |
0 |
acc |
↑ |
0.3459 |
± |
0.0047 |
|
|
none |
0 |
acc_norm |
↑ |
0.4169 |
± |
0.0049 |
| lambada_openai |
1 |
none |
0 |
acc |
↑ |
0.3311 |
± |
0.0066 |
|
|
none |
0 |
perplexity |
↓ |
38.2983 |
± |
1.5427 |
| openbookqa |
1 |
none |
0 |
acc |
↑ |
0.2340 |
± |
0.0190 |
|
|
none |
0 |
acc_norm |
↑ |
0.3500 |
± |
0.0214 |
| piqa |
1 |
none |
0 |
acc |
↑ |
0.6795 |
± |
0.0109 |
|
|
none |
0 |
acc_norm |
↑ |
0.6774 |
± |
0.0109 |
MMLU
| Groups |
Version |
Filter |
n-shot |
Metric |
|
Value |
|
Stderr |
| mmlu |
2 |
none |
|
acc |
↑ |
0.2529 |
± |
0.0037 |
| - humanities |
2 |
none |
|
acc |
↑ |
0.2459 |
± |
0.0063 |
| - other |
2 |
none |
|
acc |
↑ |
0.2424 |
± |
0.0077 |
| - social sciences |
2 |
none |
|
acc |
↑ |
0.2697 |
± |
0.0080 |
| - stem |
2 |
none |
|
acc |
↑ |
0.2572 |
± |
0.0078 |
