t5e-mini-nl24-flan / README.md
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metadata
license: apache-2.0
base_model: google/t5-efficient-mini-nl24
datasets:
  - Open-Orca/FLAN
language:
  - en
library_name: transformers
pipeline_tag: text2text-generation

t5e-mini-nl24-flan

25k steps on FLAN as an initial test/validation that code works. Not practically useful.

from transformers import pipeline

pipe = pipeline(
    "text2text-generation",
    model="pszemraj/t5e-mini-nl24-flan",
)
res = pipe(
    "true or false: water is wet.",
    top_k=4,
    penalty_alpha=0.6,
    max_new_tokens=128,
)
print(res[0]["generated_text"])

Quick eval

Quick eval for: pszemraj/t5e-mini-nl24-flan

hf (pretrained=pszemraj/t5e-mini-nl24-flan,trust_remote_code=True,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8

Tasks Version Filter n-shot Metric Value Stderr
boolq 2 none 0 acc 0.4541 ± 0.0087
openbookqa 1 none 0 acc 0.1300 ± 0.0151
none 0 acc_norm 0.2700 ± 0.0199
piqa 1 none 0 acc 0.6159 ± 0.0113
none 0 acc_norm 0.6077 ± 0.0114
social_iqa 0 none 0 acc 0.3705 ± 0.0109
tinyArc 0 none 25 acc_norm 0.2913 ± N/A
tinyGSM8k 0 flexible-extract 5 exact_match 0.0269 ± N/A
strict-match 5 exact_match 0.0055 ± N/A
tinyHellaswag 0 none 10 acc_norm 0.3538 ± N/A
tinyMMLU 0 none 0 acc_norm 0.2551 ± N/A
winogrande 1 none 0 acc 0.5217 ± 0.0140
base model evals: click to expand

Quick eval for: google/t5-efficient-mini-nl24

hf (pretrained=google/t5-efficient-mini-nl24,trust_remote_code=True,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8

Tasks Version Filter n-shot Metric Value Stderr
boolq 2 none 0 acc 0.3783 ± 0.0085
openbookqa 1 none 0 acc 0.1280 ± 0.0150
none 0 acc_norm 0.2660 ± 0.0198
piqa 1 none 0 acc 0.5473 ± 0.0116
none 0 acc_norm 0.5267 ± 0.0116
social_iqa 0 none 0 acc 0.3536 ± 0.0108
tinyArc 0 none 25 acc_norm 0.3101 ± N/A
tinyGSM8k 0 flexible-extract 5 exact_match 0.0145 ± N/A
strict-match 5 exact_match 0.0055 ± N/A
tinyHellaswag 0 none 10 acc_norm 0.2616 ± N/A
tinyMMLU 0 none 0 acc_norm 0.2839 ± N/A
winogrande 1 none 0 acc 0.4996 ± 0.0141