
distilroberta-base fined-tuned on SQuAD (https://huggingface.co/datasets/squad)

Hyperparameters:
- epochs: 1
- lr: 1e-5
- train batch sie: 16
- optimizer: adamW
- lr_scheduler: linear
- num warming steps: 0
- max_length: 512

Results on the dev set:
- 'exact_match': 76.37653736991486
- 'f1': 84.5528918750732


It took 1h 20 min to train on Colab.
{"language": ["en"], "license": "mit", "tags": ["QA", "Question Answering", "SQuAD"], "datasets": ["squad"], "metrics": ["squad"], "model-index": [{"name": "distilroberta-base", "results": [{"task": {"type": "question-answering", "name": "Question Answering"}, "dataset": {"name": "SQuAD", "type": "squad", "split": "validation"}, "metrics": [{"type": "squad", "value": 76.37653736991486, "name": "SQuAD EM", "config": "exact_match"}, {"type": "squad", "value": 84.5528918750732, "name": "SQuAD F1", "config": "F1"}]}]}]}
transformers pytorch roberta question-answering QA Question Answering SQuAD en dataset:squad license:mit model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #question-answering #QA #Question Answering #SQuAD #en #dataset-squad #license-mit #model-index #endpoints_compatible #region-us 


distilroberta-base fined-tuned on SQuAD (URL

Hyperparameters:
- epochs: 1
- lr: 1e-5
- train batch sie: 16
- optimizer: adamW
- lr_scheduler: linear
- num warming steps: 0
- max_length: 512

Results on the dev set:
- 'exact_match': 76.37653736991486
- 'f1': 84.5528918750732


It took 1h 20 min to train on Colab.
TAGS
#transformers #pytorch #roberta #question-answering #QA #Question Answering #SQuAD #en #dataset-squad #license-mit #model-index #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #roberta #question-answering #QA #Question Answering #SQuAD #en #dataset-squad #license-mit #model-index #endpoints_compatible #region-us 
