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rap_phase2_MODEL2_15march_15i_v2
prajwalJumde/rap_phase2_MODEL2_15march_15i_v2
rap_phase2_MODEL2_15march_15i_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 15, 2024
- Updated
- Mar 15, 2024
- SHA
- f99c0813
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_15i_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: 0.0055
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4659 | 1.0 | 1053 | 0.4866 |
| 0.3359 | 2.0 | 2106 | 0.0128 |
| 0.032 | 3.0 | 3159 | 0.0035 |
| 0.0243 | 4.0 | 4212 | 0.0001 |
| 0.0303 | 5.0 | 5265 | 0.0000 |
| 0.0065 | 6.0 | 6318 | 0.0096 |
| 0.006 | 7.0 | 7371 | 0.0003 |
| 0.0016 | 8.0 | 8424 | 0.0055 |
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