Translation
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
united states air force
united states space force
department of defense
dod
usaf
ussf
afi
air force
space force
bullets
performance reports
evaluations
awards
opr
epr
narratives
interpreter
mbzuai
lamini-flan-t5-783m
flan-t5
google
opera
justinthelaw
text-generation-inference
Inference Endpoints
Justin Law
commited on
Commit
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Parent(s):
750eefd
Docs(README): Added successful generation examples
Browse files
README.md
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@@ -81,11 +81,16 @@ This is a fine-tuned version of the LaMini-Flan-T5-783M, using the justinthelaw/
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Used to programmatically produce training data for Opera's Bullet Forge (see GitHub repository for details).
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The exact prompt to achieve the desired result is:
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## Downstream Use
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Used to programmatically produce training data for Opera's Bullet Forge (see GitHub repository for details).
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The exact prompt to achieve the desired result is: "Using full sentences, expand upon the following Air and Space Force bullet statement by spelling-out acronyms and adding additional context: [INSERT BULLET HERE]"
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Below are some examples of this model's v0.1.0 iteration generating acceptable translations of bullets that it was not previously exposed to during training nor validation:
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| Bullet | Translation to Sentence |
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| :------------------------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| - Maintained 112 acft G-files; conducted 100% insp of T.Osjob guides--efforts key to flt's 96% LSEP pass rate | Maintained 112 aircraft G-files and conducted 100% inspection of T.O.s job guides, contributing to the flight's 96% LSEP pass rate. |
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| - Spearheaded mx for 43 nuke-cert vehs$5.2M; achieved peak 99% MC rt--vital to SECAF #1 prioritynuc deterrence | Spearheaded the maintenance for 43 nuke-cert vehicles worth $5.2 million, achieving a peak 99% mission capability rating. This mission was vital to the Space and Defense Communications System (SECAF) #1 priority nuclear deterrence. |
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| - Superb NCO; mng'd mobility ofc during LibyanISAF ops; continuously outshines peers--promote to MSgt now | Superb Non-Commissioned Officer (NCO) who managed the mobility operation during Libyan ISAF operations. I continuously outshines my peers and deserve a promotion to MSgt now. |
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| - Managed PMEL prgrm; maintained 300+ essential equipment calibration items--reaped 100% TMDE pass rt | I managed the PMEL program and maintained over 300+ essential equipment calibration items, resulting in a 100% Test, Measurement, and Diagnostic Equipment (TMDE) pass rate. |
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## Downstream Use
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