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rap_phase2_22dec_15i_v1.csv
am-infoweb/rap_phase2_22dec_15i_v1.csv
rap_phase2_22dec_15i_v1.csv 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 22, 2023
- Updated
- Dec 22, 2023
- SHA
- 23991a02
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_22dec_15i_v1.csv
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: 0.0002
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 |
|---|---|---|---|
| No log | 1.0 | 327 | 0.8583 |
| 1.5744 | 2.0 | 654 | 1.4563 |
| 1.5744 | 3.0 | 981 | 0.5727 |
| 1.3278 | 4.0 | 1308 | 0.3013 |
| 0.3429 | 5.0 | 1635 | 0.1297 |
| 0.3429 | 6.0 | 1962 | 0.0001 |
| 0.0584 | 7.0 | 2289 | 0.0000 |
| 0.0398 | 8.0 | 2616 | 0.0009 |
| 0.0398 | 9.0 | 2943 | 0.0007 |
| 0.0121 | 10.0 | 3270 | 0.0002 |
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 22, 2023
- Updated
- Dec 22, 2023