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MacBERTh-squad-en
Nadav/MacBERTh-squad-en
MacBERTh-squad-en is a question answering model from Nadav. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 5, 2022
- Updated
- Dec 5, 2022
- SHA
- eb1a826a
Try a prompt
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. -->
MacBERTh-squad-en
This model is a fine-tuned version of emanjavacas/MacBERTh on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1805
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: 3e-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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5789 | 1.0 | 5110 | 2.3494 |
| 2.2681 | 2.0 | 10220 | 2.1805 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Dec 5, 2022
- Updated
- Dec 5, 2022