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roberta-base-finetuned-sst2
Bhumika/roberta-base-finetuned-sst2
roberta-base-finetuned-sst2 is a text classification model from Bhumika. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Oct 25, 2021
- SHA
- eee69c56
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Datasets
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. -->
roberta-base-finetuned-sst2
This model was trained from scratch on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.3000
- Accuracy: 0.9450
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.1106 | 1.0 | 4210 | 0.9255 | 0.3326 |
| 0.1497 | 2.0 | 8420 | 0.9369 | 0.2858 |
| 0.1028 | 3.0 | 12630 | 0.3128 | 0.9335 |
| 0.0872 | 4.0 | 16840 | 0.3000 | 0.9450 |
| 0.0571 | 5.0 | 21050 | 0.3378 | 0.9427 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Oct 25, 2021