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bnb-sentiment-model-saagie
TeamResearch/bnb-sentiment-model-saagie
bnb-sentiment-model-saagie is a text classification model from TeamResearch. 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
- Jan 2, 2024
- Updated
- Jan 31, 2024
- SHA
- 757239c2
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Datasets
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. -->
bnb-sentiment-model-saagie
This model is a fine-tuned version of j-hartmann/emotion-english-distilroberta-base on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.3581
- Accuracy: 0.9444
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3724 | 1.0 | 1875 | 0.1799 | 0.9367 |
| 0.2118 | 2.0 | 3750 | 0.1918 | 0.9456 |
| 0.1792 | 3.0 | 5625 | 0.1791 | 0.95 |
| 0.1489 | 4.0 | 7500 | 0.1479 | 0.9489 |
| 0.1168 | 5.0 | 9375 | 0.2561 | 0.9444 |
| 0.081 | 6.0 | 11250 | 0.2863 | 0.9411 |
| 0.0521 | 7.0 | 13125 | 0.3168 | 0.9467 |
| 0.0345 | 8.0 | 15000 | 0.3581 | 0.9444 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.8.1
- Datasets 2.12.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jan 2, 2024
- Updated
- Jan 31, 2024