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--- |
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language: |
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- en |
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license: mit |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad_v2 |
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metrics: |
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- exact_match |
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- f1 |
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base_model: roberta-base |
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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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--- |
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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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should probably proofread and complete it, then remove this comment. --> |
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# roberta-base-finetuned-squad-v2 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9173 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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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- eval_batch_size: 16 |
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- seed: 42 |
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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 |
