zenodoopen
Model Checkpoints for AE Studio's AESMTE3 Submission to NLB 2021 Challenge
<p>This dataset contains all model checkpoints acquired while training <a href="https://ae.studio/">AE Studio</a>'s AESMTE3 submission for the <a href="https://neurallatents.github.io/">NLB 2021 Challenge</a>. The models are <a href="https://github.com/snel-repo/neural-data-transformers">neural-data-transformers</a> and were trained using AE's <a href="https://github.com/agencyenterprise/ae-nlb-2021">fork</a> of the neural-data-transformers repo.</p> <p>These model checkpoints are intended to be used by the NLB organizers in order to validate AE's submission.</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4