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rap_phase2_05dec
am-infoweb/rap_phase2_05dec
rap_phase2_05dec 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 5, 2023
- Updated
- Dec 5, 2023
- SHA
- aa756a21
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_05dec
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: 0.0086
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 |
|---|---|---|---|
| 0.1671 | 1.0 | 10395 | 0.3919 |
| 0.1272 | 2.0 | 20790 | 0.0634 |
| 0.0599 | 3.0 | 31185 | 0.0425 |
| 0.0247 | 4.0 | 41580 | 0.0309 |
| 0.0788 | 5.0 | 51975 | 0.0292 |
| 0.0047 | 6.0 | 62370 | 0.0093 |
| 0.0106 | 7.0 | 72765 | 0.0068 |
| 0.0182 | 8.0 | 83160 | 0.0074 |
| 0.0 | 9.0 | 93555 | 0.0092 |
| 0.0013 | 10.0 | 103950 | 0.0086 |
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 5, 2023
- Updated
- Dec 5, 2023