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README.md
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datasets:
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- squad_v2
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model-index:
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- name: roberta-base-finetuned-squad-v2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.8796 | 1.0 | 8239 | 0.8010 |
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| 0.6474 | 2.0 | 16478 | 0.8260 |
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| 0.5056 | 3.0 | 24717 | 0.9173 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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datasets:
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- squad_v2
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model-index:
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- name: dangkhoa99/roberta-base-finetuned-squad-v2
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results: []
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language:
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- en
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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### Training hyperparameters
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```
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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```
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### Training results
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```
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.8796 | 1.0 | 8239 | 0.8010 |
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| 0.6474 | 2.0 | 16478 | 0.8260 |
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| 0.5056 | 3.0 | 24717 | 0.9173 |
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```
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### Performance
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Evaluated on the SQuAD 2.0 dev set with the [QuestionAnsweringEvaluator](https://huggingface.co/docs/evaluate/v0.4.0/en/package_reference/evaluator_classes#evaluate.QuestionAnsweringEvaluator)
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```
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'exact': 80.28299503074201
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'f1': 83.54728996177538
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'total': 11873
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'HasAns_exact': 78.77867746288798
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'HasAns_f1': 85.31662849462904
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'HasAns_total': 5928
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'NoAns_exact': 81.7830109335576
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'NoAns_f1': 81.7830109335576
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'NoAns_total': 5945
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'best_exact': 80.28299503074201
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'best_exact_thresh': 0.9989414811134338
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'best_f1': 83.54728996177576
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'best_f1_thresh': 0.9989414811134338
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'total_time_in_seconds': 220.1965392809998
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'samples_per_second': 53.92001181657305
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'latency_in_seconds': 0.01854599000092645
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```
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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