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STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137
rajevan123/STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137
STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137 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
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- 7d3bf518
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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. -->
STS-conventional-Fine-Tuning-Capstone-roberta-base-filtered-137
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: 2.5730
- Accuracy: 0.7247
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 113 | 0.7973 | 0.6573 |
| No log | 2.0 | 226 | 0.6965 | 0.6948 |
| No log | 3.0 | 339 | 0.8914 | 0.6891 |
| No log | 4.0 | 452 | 0.8767 | 0.6948 |
| 0.5314 | 5.0 | 565 | 0.9786 | 0.6760 |
| 0.5314 | 6.0 | 678 | 1.1437 | 0.7079 |
| 0.5314 | 7.0 | 791 | 1.2355 | 0.6966 |
| 0.5314 | 8.0 | 904 | 1.5219 | 0.7022 |
| 0.1799 | 9.0 | 1017 | 1.4491 | 0.7041 |
| 0.1799 | 10.0 | 1130 | 1.6851 | 0.7060 |
| 0.1799 | 11.0 | 1243 | 1.9943 | 0.7060 |
| 0.1799 | 12.0 | 1356 | 2.0297 | 0.7060 |
| 0.1799 | 13.0 | 1469 | 2.0053 | 0.7247 |
| 0.0712 | 14.0 | 1582 | 1.9966 | 0.7266 |
| 0.0712 | 15.0 | 1695 | 2.1857 | 0.7097 |
| 0.0712 | 16.0 | 1808 | 2.2013 | 0.7228 |
| 0.0712 | 17.0 | 1921 | 2.2569 | 0.7172 |
| 0.0419 | 18.0 | 2034 | 2.2553 | 0.7172 |
| 0.0419 | 19.0 | 2147 | 2.3893 | 0.7022 |
| 0.0419 | 20.0 | 2260 | 2.4651 | 0.7116 |
| 0.0419 | 21.0 | 2373 | 2.4000 | 0.7135 |
| 0.0419 | 22.0 | 2486 | 2.5071 | 0.7135 |
| 0.0241 | 23.0 | 2599 | 2.4959 | 0.7285 |
| 0.0241 | 24.0 | 2712 | 2.5238 | 0.7191 |
| 0.0241 | 25.0 | 2825 | 2.5499 | 0.7285 |
| 0.0241 | 26.0 | 2938 | 2.5826 | 0.7247 |
| 0.0088 | 27.0 | 3051 | 2.6062 | 0.7228 |
| 0.0088 | 28.0 | 3164 | 2.5904 | 0.7154 |
| 0.0088 | 29.0 | 3277 | 2.5756 | 0.7228 |
| 0.0088 | 30.0 | 3390 | 2.5730 | 0.7247 |
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
- Mar 31, 2024
- Updated
- Mar 31, 2024