search

HHousen / TransformerSum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
https://transformersum.rtfd.io
GNU General Public License v3.0
428 stars 58 forks source link

[ImgBot] Optimize images #4

Closed imgbot[bot] closed 4 years ago

imgbot[bot] commented 4 years ago

Beep boop. Your images are optimized!

Your image file size has been reduced by 9% 🎉

Details | File | Before | After | Percent reduction | |:--|:--|:--|:--| | /experiments/word_embedding_models/large_loss_avg_seq_mean_val_only.png | 24.02kb | 21.31kb | 11.27% | | /experiments/word_embedding_models/large_loss_total.png | 86.50kb | 77.11kb | 10.86% | | /experiments/word_embedding_models/large_loss_total_outliers.png | 73.55kb | 65.93kb | 10.36% | | /experiments/word_embedding_models/large_loss_avg_seq_sum.png | 88.32kb | 79.18kb | 10.35% | | /experiments/word_embedding_models/large_loss_avg_seq_mean_outliers.png | 78.77kb | 71.35kb | 9.42% | | /experiments/word_embedding_models/large_loss_total_norm_batch.png | 94.48kb | 85.97kb | 9.01% | | /experiments/word_embedding_models/large_loss_avg.png | 86.11kb | 78.57kb | 8.75% | | /experiments/word_embedding_models/large_loss_avg_seq_mean_reltime.png | 86.31kb | 79.39kb | 8.02% | | /experiments/word_embedding_models/large_loss_avg_seq_mean.png | 90.23kb | 83.36kb | 7.62% | | | | | | | **Total :** | **708.29kb** | **642.16kb** | **9.34%** |

📝docs | :octocat: repo | 🙋issues | 🏅swag | 🏪marketplace