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rap_phase2_11jan_15i_v2
am-infoweb/rap_phase2_11jan_15i_v2
rap_phase2_11jan_15i_v2 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 12, 2024
- Updated
- Jan 12, 2024
- SHA
- f5a99f51
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_11jan_15i_v2
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: 0.0070
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 |
|---|---|---|---|
| 0.1506 | 1.0 | 8580 | 0.0892 |
| 0.0691 | 2.0 | 17160 | 0.0349 |
| 0.0763 | 3.0 | 25740 | 0.0216 |
| 0.0355 | 4.0 | 34320 | 0.0133 |
| 0.0057 | 5.0 | 42900 | 0.0074 |
| 0.0167 | 6.0 | 51480 | 0.0129 |
| 0.0 | 7.0 | 60060 | 0.0002 |
| 0.0013 | 8.0 | 68640 | 0.0047 |
| 0.0126 | 9.0 | 77220 | 0.0038 |
| 0.001 | 10.0 | 85800 | 0.0070 |
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 12, 2024
- Updated
- Jan 12, 2024