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twitter-roberta-base-sentiment-finetuned-emotionverse
francisc0Sousa/twitter-roberta-base-sentiment-finetuned-emotionverse
twitter-roberta-base-sentiment-finetuned-emotionverse is a fill-mask model from francisc0Sousa. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 24, 2025
- Updated
- May 25, 2025
- SHA
- bec6176e
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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-base-sentiment-finetuned-emotionverse
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6309
- Model Preparation Time: 0.0055
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 8.6965 | 1.0 | 49 | 5.9881 | 0.0055 |
| 5.4416 | 2.0 | 98 | 4.8394 | 0.0055 |
| 4.7976 | 3.0 | 147 | 4.5740 | 0.0055 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- May 24, 2025
- Updated
- May 25, 2025