vukrosic commited on
Commit
45385ca
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verified ·
1 Parent(s): 4e47de6

Fix pipeline_tag; add accuracy chart, GitHub link, PDF report

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ accuracy_by_category.png filter=lfs diff=lfs merge=lfs -text
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+ nano-dates-report.pdf filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -9,7 +9,7 @@ tags:
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  - structured-output
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  - byte-level
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  - from-scratch
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- pipeline_tag: text2text-generation
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  library_name: safetensors
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  ---
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@@ -31,6 +31,11 @@ The model is given a **reference date** (`today`) at the start of the prompt, so
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  relative phrases ("tomorrow", "in 3 weeks") are computable from the input alone —
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  it never needs a wall clock.
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  ## Why this exists
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  A 1M-parameter model can't be a general assistant, but it *can* completely nail a
 
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  - structured-output
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  - byte-level
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  - from-scratch
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+ pipeline_tag: text-generation
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  library_name: safetensors
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  ---
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  relative phrases ("tomorrow", "in 3 weeks") are computable from the input alone —
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  it never needs a wall clock.
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+ **Code, training, and reproduction:** https://github.com/vukrosic/nano-dates
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+ (self-contained `train.py` / `eval.py` / data generator / tests + a PDF report).
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+
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+ ![accuracy by category](accuracy_by_category.png)
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+
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  ## Why this exists
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  A 1M-parameter model can't be a general assistant, but it *can* completely nail a
accuracy_by_category.png ADDED

Git LFS Details

  • SHA256: d43de831052d82663ea7ad15af63154009dc3b58d7f40a9bd17106a3e4b531b4
  • Pointer size: 131 Bytes
  • Size of remote file: 100 kB
nano-dates-report.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 162814