Hugging Face's logo

textgain
/
News2Topic-T5-base

Text Generation
Transformers
PyTorch
English
t5
text2text-generation
text-generation-inference
Model card Files
xet
Community
1
andkos commited on
Commit
b1920d4
·
verified ·
1 Parent(s): 233a5e5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -30,7 +30,7 @@ print(pipe(news_text))
30
 
31
  ## Training Details
32
 
33
- The News2Topic T5-base model was trained on a 21K sample of the "newsroom" dataset annotated with synthetic data generated by GPT-3.5-turbo
34
 
35
  The model was trained for 3 epochs, with a learning rate of 0.00001, a maximum sequence length of 512, and a training batch size of 12.
36
 
 
30
 
31
  ## Training Details
32
 
33
+ The News2Topic T5-base model was trained on a 21K sample of the "Newsroom" dataset (https://lil.nlp.cornell.edu/newsroom/index.html) annotated with synthetic data generated by GPT-3.5-turbo
34
 
35
  The model was trained for 3 epochs, with a learning rate of 0.00001, a maximum sequence length of 512, and a training batch size of 12.
36