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xlm-roberta-large-fa-qa-finetune_on_600qa
phd411r1/xlm-roberta-large-fa-qa-finetune_on_600qa
xlm-roberta-large-fa-qa-finetune_on_600qa is a question answering model from phd411r1. 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
- Dec 31, 2022
- Updated
- Dec 31, 2022
- SHA
- 493a1f46
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. -->
xlm-roberta-large-fa-qa-finetune_on_600qa
This model is a fine-tuned version of SajjadAyoubi/xlm-roberta-large-fa-qa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0546
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: 1
- eval_batch_size: 1
- seed: 42
- 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 |
|---|---|---|---|
| 3.4661 | 1.0 | 873 | 1.8295 |
| 2.4106 | 2.0 | 1746 | 1.2212 |
| 1.6281 | 3.0 | 2619 | 1.0546 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Dec 31, 2022
- Updated
- Dec 31, 2022