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STS-Conventional-Fine-Tuning-pipe-roberta-base
rajevan123/STS-Conventional-Fine-Tuning-pipe-roberta-base
STS-Conventional-Fine-Tuning-pipe-roberta-base is a text classification model from rajevan123. 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
- Apr 1, 2024
- Updated
- Apr 1, 2024
- SHA
- 120c6f3c
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. -->
STS-Conventional-Fine-Tuning-pipe-roberta-base
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9623
- Accuracy: 0.7210
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 113 | 0.7397 | 0.6760 |
| No log | 2.0 | 226 | 0.7139 | 0.7135 |
| No log | 3.0 | 339 | 0.7846 | 0.7041 |
| No log | 4.0 | 452 | 0.8368 | 0.6816 |
| 0.5292 | 5.0 | 565 | 1.0395 | 0.6873 |
| 0.5292 | 6.0 | 678 | 1.0863 | 0.7154 |
| 0.5292 | 7.0 | 791 | 1.2668 | 0.7097 |
| 0.5292 | 8.0 | 904 | 1.5312 | 0.7135 |
| 0.1806 | 9.0 | 1017 | 1.6574 | 0.7041 |
| 0.1806 | 10.0 | 1130 | 1.7880 | 0.7041 |
| 0.1806 | 11.0 | 1243 | 1.7902 | 0.7116 |
| 0.1806 | 12.0 | 1356 | 1.9168 | 0.7154 |
| 0.1806 | 13.0 | 1469 | 1.8637 | 0.7210 |
| 0.0717 | 14.0 | 1582 | 1.9391 | 0.7210 |
| 0.0717 | 15.0 | 1695 | 1.9623 | 0.7210 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 1, 2024
- Updated
- Apr 1, 2024