
This is the checkpoint of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) trained on the [PIE](https://huggingface.co/datasets/Gooogr/pie_idioms) dataset.
{"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["pie", "idioms", "token classification"], "metrics": ["accuracy", "f1", "recall"], "pipeline_tag": "token-classification", "widget": [{"text": "Go back to the drawing board and make adjustments based on the new information."}, {"text": "This is one of those times when you need to bite the bullet and pay a pro."}, {"text": "They prefer to beat around the bush, if they want to ask something."}, {"text": "As they say in the theater, break a leg."}]}
transformers pytorch xlm-roberta token-classification pie idioms token classification en license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #token-classification #pie #idioms #token classification #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 


This is the checkpoint of xlm-roberta-base trained on the PIE dataset.
TAGS
#transformers #pytorch #xlm-roberta #token-classification #pie #idioms #token classification #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #xlm-roberta #token-classification #pie #idioms #token classification #en #license-mit #autotrain_compatible #endpoints_compatible #region-us 
