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MRR-Roberta_without_squal_15k
prajwalJumde/MRR-Roberta_without_squal_15k
MRR-Roberta_without_squal_15k 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
- roberta
- Access
- Public
- Created
- Aug 9, 2023
- Updated
- Aug 9, 2023
- SHA
- 0b24f226
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. -->
MRR-Roberta_without_squal_15k
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1563
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8327 | 1.0 | 5797 | 0.9889 |
| 0.7944 | 2.0 | 11594 | 1.0074 |
| 0.6759 | 3.0 | 17391 | 0.7689 |
| 0.63 | 4.0 | 23188 | 0.6830 |
| 0.508 | 5.0 | 28985 | 0.7813 |
| 0.5907 | 6.0 | 34782 | 0.7577 |
| 0.4612 | 7.0 | 40579 | 0.7701 |
| 0.4485 | 8.0 | 46376 | 0.8050 |
| 0.3881 | 9.0 | 52173 | 0.8276 |
| 0.4072 | 10.0 | 57970 | 0.8701 |
| 0.3177 | 11.0 | 63767 | 0.9870 |
| 0.2954 | 12.0 | 69564 | 0.9968 |
| 0.2881 | 13.0 | 75361 | 1.1037 |
| 0.2106 | 14.0 | 81158 | 1.1053 |
| 0.2564 | 15.0 | 86955 | 1.1563 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 9, 2023
- Updated
- Aug 9, 2023