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rap_phase2_MODEL2_22jan_15i
am-infoweb/rap_phase2_MODEL2_22jan_15i
rap_phase2_MODEL2_22jan_15i 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
- Jan 25, 2024
- Updated
- Jan 25, 2024
- SHA
- 68911ce5
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_MODEL2_22jan_15i
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: 0.0245
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: 6
- eval_batch_size: 6
- 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 |
|---|---|---|---|
| 1.5023 | 1.0 | 990 | 0.2146 |
| 0.1764 | 2.0 | 1980 | 0.0279 |
| 0.1017 | 3.0 | 2970 | 0.0540 |
| 0.1148 | 4.0 | 3960 | 0.0332 |
| 0.0769 | 5.0 | 4950 | 0.1151 |
| 0.0564 | 6.0 | 5940 | 0.0497 |
| 0.0606 | 7.0 | 6930 | 0.0357 |
| 0.0219 | 8.0 | 7920 | 0.0250 |
| 0.023 | 9.0 | 8910 | 0.0252 |
| 0.0223 | 10.0 | 9900 | 0.0245 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 25, 2024
- Updated
- Jan 25, 2024