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xlm-roberta-large-finetuned-squad
sontn122/xlm-roberta-large-finetuned-squad
xlm-roberta-large-finetuned-squad is a question answering model from sontn122. 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
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 4, 2021
- SHA
- 744edffa
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. -->
xlm-roberta-large-finetuned-squad
This model is a fine-tuned version of xlm-roberta-large on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0350
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6093 | 1.0 | 620 | 1.0023 |
| 0.849 | 2.0 | 1240 | 0.9449 |
| 0.6693 | 3.0 | 1860 | 1.0350 |
Framework versions
- Transformers 4.10.0
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Mar 2, 2022
- Updated
- Sep 4, 2021