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roberta-base-finetuned-nlp-letters-full_text-all-class-weighted
ben-yu/roberta-base-finetuned-nlp-letters-full_text-all-class-weighted
roberta-base-finetuned-nlp-letters-full_text-all-class-weighted is a text classification model from ben-yu. 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
- Jul 14, 2024
- Updated
- Jul 14, 2024
- SHA
- e9eb144e
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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-finetuned-nlp-letters-full_text-all-class-weighted
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6723
- F1: 0.7362
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 165 | 0.4887 | 0.7155 |
| No log | 2.0 | 330 | 0.5336 | 0.4635 |
| No log | 3.0 | 495 | 0.4850 | 0.2065 |
| 0.416 | 4.0 | 660 | 0.5181 | 0.2065 |
| 0.416 | 5.0 | 825 | 0.4745 | 0.6110 |
| 0.416 | 6.0 | 990 | 0.4787 | 0.2065 |
| 0.4144 | 7.0 | 1155 | 0.4820 | 0.2065 |
| 0.4144 | 8.0 | 1320 | 0.4907 | 0.7065 |
| 0.4144 | 9.0 | 1485 | 0.5945 | 0.7264 |
| 0.3656 | 10.0 | 1650 | 0.6723 | 0.7362 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 14, 2024
- Updated
- Jul 14, 2024