long-t5-tglobal-large-booksum-WIP

24
—
by
pszemraj
Language Model
OTHER
New
24 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by long-t5-tglobal-large-booksum-WIP with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

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Code Examples

eval in bf16text
***** eval metrics *****
  epoch                   =        3.0
  eval_gen_len            =    103.075
  eval_loss               =     4.9501
  eval_rouge1             =    21.6345
  eval_rouge2             =      2.877
  eval_rougeL             =     10.386
  eval_rougeLsum          =    20.0148
  eval_runtime            = 0:06:02.75
  eval_samples            =        200
  eval_samples_per_second =      0.551
  eval_steps_per_second   =      0.138
[INFO|trainer.py:2724] 2022-11-27 01:00:

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