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bert-base-uncased-twitter-sentiment
tillschwoerer/bert-base-uncased-twitter-sentiment
bert-base-uncased-twitter-sentiment is a text classification model from tillschwoerer. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 15, 2025
- Updated
- Sep 30, 2026
- SHA
- 594ad425
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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. -->
bert-base-uncased-twitter-sentiment
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6794
- Model Preparation Time: 0.0047
- Accuracy: 0.7583
- F1: 0.7531
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 |
|---|---|---|---|---|---|---|
| 1.0396 | 1.0 | 30 | 0.9378 | 0.0047 | 0.6083 | 0.5374 |
| 0.7931 | 2.0 | 60 | 0.7873 | 0.0047 | 0.7083 | 0.6958 |
| 0.5955 | 3.0 | 90 | 0.7241 | 0.0047 | 0.7167 | 0.7052 |
| 0.4388 | 4.0 | 120 | 0.7027 | 0.0047 | 0.7 | 0.6876 |
| 0.3291 | 5.0 | 150 | 0.7124 | 0.0047 | 0.7 | 0.6864 |
| 0.2655 | 6.0 | 180 | 0.6794 | 0.0047 | 0.7583 | 0.7531 |
Framework versions
- Transformers 5.17.0
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 15, 2025
- Updated
- Sep 30, 2026