autoevaluator
HF staff
Add evaluation results on the alex-apostolo--filtered-cuad config and test split of alex-apostolo/filtered-cuad
19f956c
| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - alex-apostolo/filtered-cuad | |
| model-index: | |
| - name: roberta-base-filtered-cuad | |
| results: | |
| - task: | |
| type: question-answering | |
| name: Question Answering | |
| dataset: | |
| name: alex-apostolo/filtered-cuad | |
| type: alex-apostolo/filtered-cuad | |
| config: alex-apostolo--filtered-cuad | |
| split: test | |
| metrics: | |
| - type: f1 | |
| value: 71.4517 | |
| name: F1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWEzOTZkOTUwNzcxOTA2MTkxZmE2YzJlMDgyNzljOTgyMzAwZWM4MzVkYjkxZjYxYTRkNDQyMmYzNjk5MzU2ZSIsInZlcnNpb24iOjF9.qSR7O9rUJ0gpaPrVhX9UmlrQGYVLyCDjEUvOVCu59OeaGuqsvY7-bppTl702UAiXT6eP9RSN5SGtxMVlmgU_CA | |
| - type: exact | |
| value: 69.1239 | |
| name: Exact Match | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmJhYzcxOWJjNWI4NjNiYjAyY2NhNjIzNTNhMmIwOTA2MGNmNTVhZjZmNDU2MDYwNDZmYjM2MTY5YWI4NDQ4ZCIsInZlcnNpb24iOjF9.vPsieQjxMN7QQk9mLtFCGOCFMqziBRWlf0_KhZp3wFTOSpA_U88ifDQRV4uedLs9-IzEAz3I_NOMijMrpW_AAw | |
| - type: loss | |
| value: 0.054761599749326706 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjBhOTFkYTBjOGU1NjlmOGExNWViYjYzMTAyZTQ0MGRkMGQ2MTkwODkwY2I1NTkzMjI5OGI4NWFlYzdmYjJjNiIsInZlcnNpb24iOjF9.nEMGXH-CvWl1RUNIny3_IyjHyPDI9hHQNd2hRMAwjb8iV_73ie48I6h0iVnRRWwnKcYzvamt-LzKheVVIN3ICQ | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # roberta-base-filtered-cuad | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the cuad dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0396 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 0.0502 | 1.0 | 8442 | 0.0467 | | |
| | 0.0397 | 2.0 | 16884 | 0.0436 | | |
| | 0.032 | 3.0 | 25326 | 0.0396 | | |
| ### Framework versions | |
| - Transformers 4.21.0 | |
| - Pytorch 1.12.0+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |