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bert-base-cased-finetuned-squad-bs_16
lauraparra28/bert-base-cased-finetuned-squad-bs_16
bert-base-cased-finetuned-squad-bs_16 is a question answering model from lauraparra28. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 2a4cad5b
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
bert-base-cased-finetuned-squad-bs_16
This model is a fine-tuned version of bert-base-cased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.3851
- EM: 80.2270
- F1: 88.0794
Overview
Language model: bert-base-cased
Language: English
Downstream-task: Extractive QA
Training data: SQuAD
Eval data: SQuAD
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0302 | 1.0 | 5546 | 1.0026 |
| 0.7716 | 2.0 | 11092 | 0.9711 |
| 0.5512 | 3.0 | 16638 | 1.1097 |
| 0.3971 | 4.0 | 22184 | 1.2117 |
| 0.2999 | 5.0 | 27730 | 1.3851 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.12.1
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023