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rap_phase2_08dec_08i
am-infoweb/rap_phase2_08dec_08i
rap_phase2_08dec_08i is a question answering model from am-infoweb. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Dec 8, 2023
- Updated
- Dec 8, 2023
- SHA
- 313196ed
Try a prompt
Base models
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. -->
rap_phase2_08dec_08i
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0042
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6647 | 1.0 | 5964 | 0.3400 |
| 0.2168 | 2.0 | 11928 | 0.1407 |
| 0.1244 | 3.0 | 17892 | 0.0781 |
| 0.0903 | 4.0 | 23856 | 0.0793 |
| 0.0792 | 5.0 | 29820 | 0.0239 |
| 0.0386 | 6.0 | 35784 | 0.0293 |
| 0.005 | 7.0 | 41748 | 0.0326 |
| 0.0072 | 8.0 | 47712 | 0.0193 |
| 0.0056 | 9.0 | 53676 | 0.0108 |
| 0.0027 | 10.0 | 59640 | 0.0042 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Dec 8, 2023
- Updated
- Dec 8, 2023