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rap_phase2_22jan_8i_v1
am-infoweb/rap_phase2_22jan_8i_v1
rap_phase2_22jan_8i_v1 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 23, 2024
- Updated
- Jan 23, 2024
- SHA
- 48eea43b
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_22jan_8i_v1
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0041
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 0.1006 | 1.0 | 12024 | 0.0713 |
| 0.026 | 2.0 | 24048 | 0.0370 |
| 0.0404 | 3.0 | 36072 | 0.0359 |
| 0.0288 | 4.0 | 48096 | 0.0100 |
| 0.0131 | 5.0 | 60120 | 0.0152 |
| 0.0181 | 6.0 | 72144 | 0.0067 |
| 0.0156 | 7.0 | 84168 | 0.0031 |
| 0.0 | 8.0 | 96192 | 0.0038 |
| 0.0 | 9.0 | 108216 | 0.0043 |
| 0.0006 | 10.0 | 120240 | 0.0041 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024