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roberta-base-biomed-myers-briggs-description-classifier
jtatman/roberta-base-biomed-myers-briggs-description-classifier
roberta-base-biomed-myers-briggs-description-classifier is a text classification model from jtatman. 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
- Dec 16, 2024
- Updated
- Dec 16, 2024
- SHA
- 31f74058
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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-biomed-myers-briggs-description-classifier
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3081
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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3037 | 1.0 | 2500 | 0.3081 |
| 0.1854 | 2.0 | 5000 | 0.3156 |
| 0.2427 | 3.0 | 7500 | 0.3379 |
| 0.277 | 4.0 | 10000 | 0.3720 |
| 0.0938 | 5.0 | 12500 | 0.3165 |
| 0.0029 | 6.0 | 15000 | 0.3622 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Dec 16, 2024
- Updated
- Dec 16, 2024