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rap_phase2_MODEL2_13march_10i_v2
prajwalJumde/rap_phase2_MODEL2_13march_10i_v2
rap_phase2_MODEL2_13march_10i_v2 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 13, 2024
- Updated
- Mar 13, 2024
- SHA
- dce1329a
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_13march_10i_v2
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: 4.3174
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: 6
- eval_batch_size: 6
- 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 |
|---|---|---|---|
| 1.122 | 1.0 | 635 | 0.6179 |
| 0.3758 | 2.0 | 1270 | 0.2193 |
| 0.252 | 3.0 | 1905 | 4.3940 |
| 2.7932 | 4.0 | 2540 | 4.3338 |
| 0.5947 | 5.0 | 3175 | 4.3097 |
| 0.0709 | 6.0 | 3810 | 4.2954 |
| 0.0267 | 7.0 | 4445 | 4.3046 |
| 0.0088 | 8.0 | 5080 | 4.3784 |
| 0.0133 | 9.0 | 5715 | 4.2965 |
| 0.0032 | 10.0 | 6350 | 4.3174 |
Framework versions
- Transformers 4.35.2
- 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 13, 2024
- Updated
- Mar 13, 2024