This model is a 3B llama3 model pretrained from scratch with torchtitan on fineweb-edu with AdamW optimizer. 20x chinchilla rule for 60B tokens seen.
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="kz919/llama3_3b_chinchilla_8142025",
)
print(pipe("The key to life is"))
lm_eval --model hf --model_args pretrained=kz919/llama3_3b_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 | ↑ | 0.3003 | ± | 0.0134 |
| none | 0 | acc_norm | ↑ | 0.3106 | ± | 0.0135 | ||
| arc_easy | 1 | none | 0 | acc | ↑ | 0.6246 | ± | 0.0099 |
| none | 0 | acc_norm | ↑ | 0.5379 | ± | 0.0102 | ||
| hellaswag | 1 | none | 0 | acc | ↑ | 0.3735 | ± | 0.0048 |
| none | 0 | acc_norm | ↑ | 0.4614 | ± | 0.0050 | ||
| lambada_openai | 1 | none | 0 | acc | ↑ | 0.3685 | ± | 0.0067 |
| none | 0 | perplexity | ↓ | 32.9840 | ± | 1.3564 | ||
| openbookqa | 1 | none | 0 | acc | ↑ | 0.2560 | ± | 0.0195 |
| none | 0 | acc_norm | ↑ | 0.3460 | ± | 0.0213 | ||
| piqa | 1 | none | 0 | acc | ↑ | 0.6703 | ± | 0.0110 |
| none | 0 | acc_norm | ↑ | 0.6844 | ± | 0.0108 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | ↑ | 0.2421 | ± | 0.0036 | |
| - humanities | 2 | none | acc | ↑ | 0.2497 | ± | 0.0063 | |
| - other | 2 | none | acc | ↑ | 0.2568 | ± | 0.0078 | |
| - social sciences | 2 | none | acc | ↑ | 0.2265 | ± | 0.0075 | |
| - stem | 2 | none | acc | ↑ | 0.2315 | ± | 0.0075 |
This model is a 3B llama3 model pretrained from scratch with torchtitan on fineweb-edu with AdamW optimizer. 20x chinchilla rule for 60B tokens seen.
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="kz919/llama3_3b_chinchilla_8142025",
)
print(pipe("The key to life is"))
lm_eval --model hf --model_args pretrained=kz919/llama3_3b_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 | ↑ | 0.3003 | ± | 0.0134 |
| none | 0 | acc_norm | ↑ | 0.3106 | ± | 0.0135 | ||
| arc_easy | 1 | none | 0 | acc | ↑ | 0.6246 | ± | 0.0099 |
| none | 0 | acc_norm | ↑ | 0.5379 | ± | 0.0102 | ||
| hellaswag | 1 | none | 0 | acc | ↑ | 0.3735 | ± | 0.0048 |
| none | 0 | acc_norm | ↑ | 0.4614 | ± | 0.0050 | ||
| lambada_openai | 1 | none | 0 | acc | ↑ | 0.3685 | ± | 0.0067 |
| none | 0 | perplexity | ↓ | 32.9840 | ± | 1.3564 | ||
| openbookqa | 1 | none | 0 | acc | ↑ | 0.2560 | ± | 0.0195 |
| none | 0 | acc_norm | ↑ | 0.3460 | ± | 0.0213 | ||
| piqa | 1 | none | 0 | acc | ↑ | 0.6703 | ± | 0.0110 |
| none | 0 | acc_norm | ↑ | 0.6844 | ± | 0.0108 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | ↑ | 0.2421 | ± | 0.0036 | |
| - humanities | 2 | none | acc | ↑ | 0.2497 | ± | 0.0063 | |
| - other | 2 | none | acc | ↑ | 0.2568 | ± | 0.0078 | |
| - social sciences | 2 | none | acc | ↑ | 0.2265 | ± | 0.0075 | |
| - stem | 2 | none | acc | ↑ | 0.2315 | ± | 0.0075 |