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rap_phase2_MODEL2_15march_10i
prajwalJumde/rap_phase2_MODEL2_15march_10i
rap_phase2_MODEL2_15march_10i is a question answering model from prajwalJumde. 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
- Mar 15, 2024
- Updated
- Mar 15, 2024
- SHA
- 1146e983
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_MODEL2_15march_10i
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: 0.0000
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 |
|---|---|---|---|
| 0.7443 | 1.0 | 1170 | 0.3416 |
| 1.439 | 2.0 | 2340 | 0.1891 |
| 0.2797 | 3.0 | 3510 | 0.1757 |
| 0.1032 | 4.0 | 4680 | 0.0050 |
| 0.0382 | 5.0 | 5850 | 0.0017 |
| 0.31 | 6.0 | 7020 | 0.1315 |
| 0.2989 | 7.0 | 8190 | 0.1042 |
| 0.501 | 8.0 | 9360 | 0.0052 |
| 0.0674 | 9.0 | 10530 | 0.0005 |
| 0.062 | 10.0 | 11700 | 0.0000 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 15, 2024
- Updated
- Mar 15, 2024