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BECASV4.1
Evelyn18/BECASV4.1
BECASV4.1 is a question answering model from Evelyn18. 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. --
All-time downloads
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Repo size
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 17, 2022
- Updated
- Jul 19, 2022
- SHA
- d02d756d
Try a prompt
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. -->
roberta-base-spanish-squades-modelo-robertav1
This model is a fine-tuned version of IIC/roberta-base-spanish-squades on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.7840
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 1.9356 |
| No log | 2.0 | 10 | 1.7489 |
| No log | 3.0 | 15 | 2.0573 |
| No log | 4.0 | 20 | 2.3975 |
| No log | 5.0 | 25 | 2.6796 |
| No log | 6.0 | 30 | 2.7238 |
| No log | 7.0 | 35 | 2.7616 |
| No log | 8.0 | 40 | 2.7840 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- Created
- Jul 17, 2022
- Updated
- Jul 19, 2022