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rap_phase2_01dec
am-infoweb/rap_phase2_01dec
rap_phase2_01dec 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 1, 2023
- Updated
- Dec 1, 2023
- SHA
- 06d5feb0
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_01dec
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: 0.0046
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 0.1838 | 1.0 | 12474 | 0.1158 |
| 0.1041 | 2.0 | 24948 | 0.0534 |
| 0.0915 | 3.0 | 37422 | 0.0270 |
| 0.0293 | 4.0 | 49896 | 0.0213 |
| 0.0151 | 5.0 | 62370 | 0.0156 |
| 0.0426 | 6.0 | 74844 | 0.0110 |
| 0.0138 | 7.0 | 87318 | 0.0088 |
| 0.0 | 8.0 | 99792 | 0.0056 |
| 0.0075 | 9.0 | 112266 | 0.0053 |
| 0.0 | 10.0 | 124740 | 0.0046 |
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 1, 2023
- Updated
- Dec 1, 2023