Update README.md

README.md

@@ -76,7 +76,7 @@ pipeline_tag: zero-shot-classification
 
 # Model Card for mDeBERTa-v3-base-tasksource-nli
 
-Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
+Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with 30k steps multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
 
 This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline.
 
@@ -90,8 +90,8 @@ pipe(['si','como esta?'])
 
 # Software
 https://github.com/sileod/tasksource/
+
 https://github.com/sileod/tasknet/
-Training took 7 days on RTX6000 24GB gpu.
 
 # Contact and citation
 For help integrating tasksource into your experiments, please contact [damien.sileo@inria.fr](mailto:damien.sileo@inria.fr).