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twitter-roberta-base-sentiment-latest
Manikks/twitter-roberta-base-sentiment-latest
twitter-roberta-base-sentiment-latest is a text classification model from Manikks. 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
- Mar 30, 2025
- Updated
- Apr 14, 2025
- SHA
- 871d86e9
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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. -->
twitter-roberta-sentiment
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4797
- Accuracy: 0.913
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4161 | 1.0 | 1500 | 0.4054 | 0.8823 |
| 0.2553 | 2.0 | 3000 | 0.4584 | 0.9023 |
| 0.1458 | 3.0 | 4500 | 0.4797 | 0.913 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cpu
- Datasets 2.19.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 30, 2025
- Updated
- Apr 14, 2025