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rap_phase2_25march_5i_v1
prajwalJumde/rap_phase2_25march_5i_v1
rap_phase2_25march_5i_v1 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 25, 2024
- Updated
- Mar 25, 2024
- SHA
- 70d4dfef
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_25march_5i_v1
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: 0.0136
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: 7
- eval_batch_size: 7
- 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 |
|---|---|---|---|
| 0.1299 | 1.0 | 4346 | 0.0804 |
| 0.0483 | 2.0 | 8692 | 0.0437 |
| 0.045 | 3.0 | 13038 | 0.0588 |
| 0.0252 | 4.0 | 17384 | 0.0343 |
| 0.0155 | 5.0 | 21730 | 0.0316 |
| 0.0216 | 6.0 | 26076 | 0.0347 |
| 0.0136 | 7.0 | 30422 | 0.0162 |
| 0.0029 | 8.0 | 34768 | 0.0129 |
| 0.0008 | 9.0 | 39114 | 0.0168 |
| 0.0028 | 10.0 | 43460 | 0.0136 |
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 25, 2024
- Updated
- Mar 25, 2024