Model Details
This model is a 1B llama3 model pretrained from scratch with torchtitan on fineweb-edu with C_AdamW optimizer. 100B tokens seen.
How to use
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="kz919/llama3_1b_cautious_100B_token_8222025",
)
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_cautious_100B_token_8222025,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 |
↑ |
0.3183 |
± |
0.0136 |
|
|
none |
0 |
acc_norm |
↑ |
0.3379 |
± |
0.0138 |
| arc_easy |
1 |
none |
0 |
acc |
↑ |
0.6650 |
± |
0.0097 |
|
|
none |
0 |
acc_norm |
↑ |
0.6061 |
± |
0.0100 |
| hellaswag |
1 |
none |
0 |
acc |
↑ |
0.3999 |
± |
0.0049 |
|
|
none |
0 |
acc_norm |
↑ |
0.5025 |
± |
0.0050 |
| lambada_openai |
1 |
none |
0 |
acc |
↑ |
0.3912 |
± |
0.0068 |
|
|
none |
0 |
perplexity |
↓ |
23.8709 |
± |
0.8855 |
| openbookqa |
1 |
none |
0 |
acc |
↑ |
0.2580 |
± |
0.0196 |
|
|
none |
0 |
acc_norm |
↑ |
0.3740 |
± |
0.0217 |
| piqa |
1 |
none |
0 |
acc |
↑ |
0.7116 |
± |
0.0106 |
|
|
none |
0 |
acc_norm |
↑ |
0.7149 |
± |
0.0105 |
MMLU
| Groups |
Version |
Filter |
n-shot |
Metric |
|
Value |
|
Stderr |
| mmlu |
2 |
none |
|
acc |
↑ |
0.2519 |
± |
0.0037 |
| - humanities |
2 |
none |
|
acc |
↑ |
0.2540 |
± |
0.0064 |
| - other |
2 |
none |
|
acc |
↑ |
0.2527 |
± |
0.0078 |
| - social sciences |
2 |
none |
|
acc |
↑ |
0.2480 |
± |
0.0078 |
| - stem |
2 |
none |
|
acc |
↑ |
0.2518 |
± |
0.0077 |
