BL-pythia-31m-simpleRW-lite-2048-scratch

15
1
license:apache-2.0
by
pszemraj
Language Model
OTHER
New
15 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🟢 Excellent (8.0/10)

Researched training datasets used by BL-pythia-31m-simpleRW-lite-2048-scratch with quality assessment

Specialized For

code
general
science
multilingual

Training Datasets (1)

the pile
🟢 8/10
code
general
science
multilingual
Key Strengths
  • •Deliberate Diversity: Explicitly curated to include diverse content types (academia, code, Q&A, book...
  • •Documented Quality: Each component dataset is thoroughly documented with rationale for inclusion, en...
  • •Epoch Weighting: Component datasets receive different training epochs based on perceived quality, al...

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Code Examples

Model descriptiontext
2040 ***** eval metrics *****
2041   epoch                   =        3.0
2042   eval_accuracy           =     0.2668
2043   eval_loss               =     4.7076
2044   eval_runtime            = 0:00:21.04
2045   eval_samples            =        500
2046   eval_samples_per_second =     23.759
2047   eval_steps_per_second   =      11.88
2048   perplexity              =   110.7897

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