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roberta-base_bedtype
JBhug/roberta-base_bedtype
roberta-base_bedtype is a text classification model from JBhug. 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
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- b62305a7
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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. -->
roberta-base_bedtype
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3227
- Accuracy: 0.7667
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 27
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5213 | 1.67 | 10 | 1.5302 | 0.3 |
| 1.0298 | 3.33 | 20 | 1.3052 | 0.4667 |
| 0.8736 | 5.0 | 30 | 1.3569 | 0.5 |
| 0.5861 | 6.67 | 40 | 1.1600 | 0.5333 |
| 0.3691 | 8.33 | 50 | 1.0009 | 0.6 |
| 0.1836 | 10.0 | 60 | 1.3470 | 0.5667 |
| 0.1459 | 11.67 | 70 | 0.8977 | 0.7667 |
| 0.0572 | 13.33 | 80 | 1.2357 | 0.6667 |
| 0.0331 | 15.0 | 90 | 1.0230 | 0.7667 |
| 0.0108 | 16.67 | 100 | 1.1812 | 0.7333 |
| 0.0077 | 18.33 | 110 | 1.1969 | 0.7333 |
| 0.0053 | 20.0 | 120 | 1.0829 | 0.7667 |
| 0.0043 | 21.67 | 130 | 1.0876 | 0.7333 |
| 0.0037 | 23.33 | 140 | 1.2074 | 0.7667 |
| 0.003 | 25.0 | 150 | 1.2255 | 0.7667 |
| 0.0028 | 26.67 | 160 | 1.2475 | 0.7667 |
| 0.0026 | 28.33 | 170 | 1.2703 | 0.7667 |
| 0.0024 | 30.0 | 180 | 1.2863 | 0.7667 |
| 0.0023 | 31.67 | 190 | 1.2981 | 0.7667 |
| 0.0022 | 33.33 | 200 | 1.3081 | 0.7667 |
| 0.0022 | 35.0 | 210 | 1.3149 | 0.7667 |
| 0.0021 | 36.67 | 220 | 1.3192 | 0.7667 |
| 0.0021 | 38.33 | 230 | 1.3217 | 0.7667 |
| 0.0021 | 40.0 | 240 | 1.3227 | 0.7667 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 8, 2024
- Updated
- May 8, 2024