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N_roberta_sst5_padding40model
Realgon/N_roberta_sst5_padding40model
N_roberta_sst5_padding40model is a text classification model from Realgon. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023
- SHA
- 7bd969b4
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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. -->
N_roberta_sst5_padding40model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6174
- Accuracy: 0.5552
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3242 | 1.0 | 534 | 1.1718 | 0.4973 |
| 1.021 | 2.0 | 1068 | 1.0277 | 0.5643 |
| 0.8685 | 3.0 | 1602 | 1.0361 | 0.5588 |
| 0.7377 | 4.0 | 2136 | 1.1282 | 0.5602 |
| 0.5968 | 5.0 | 2670 | 1.2513 | 0.5597 |
| 0.4867 | 6.0 | 3204 | 1.4148 | 0.5611 |
| 0.3856 | 7.0 | 3738 | 1.5733 | 0.5489 |
| 0.305 | 8.0 | 4272 | 1.7751 | 0.5443 |
| 0.2631 | 9.0 | 4806 | 1.9540 | 0.5498 |
| 0.223 | 10.0 | 5340 | 2.2826 | 0.5326 |
| 0.1976 | 11.0 | 5874 | 2.3130 | 0.5548 |
| 0.1666 | 12.0 | 6408 | 2.6703 | 0.5611 |
| 0.144 | 13.0 | 6942 | 3.0894 | 0.5557 |
| 0.1196 | 14.0 | 7476 | 3.1486 | 0.5557 |
| 0.1016 | 15.0 | 8010 | 3.3404 | 0.5516 |
| 0.0653 | 16.0 | 8544 | 3.4713 | 0.5421 |
| 0.0691 | 17.0 | 9078 | 3.5334 | 0.5507 |
| 0.0483 | 18.0 | 9612 | 3.5719 | 0.5534 |
| 0.0438 | 19.0 | 10146 | 3.6175 | 0.5543 |
| 0.0439 | 20.0 | 10680 | 3.6174 | 0.5552 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023