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bert-goemotions
BruthaCool/bert-goemotions
bert-goemotions is a text classification model from BruthaCool. 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
- May 8, 2025
- Updated
- May 8, 2025
- SHA
- 637651e0
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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-goemotions
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0866
- F1 Micro: 0.5878
- Precision Micro: 0.6644
- Recall Micro: 0.5271
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Precision Micro | Recall Micro |
|---|---|---|---|---|---|---|
| 0.0869 | 1.0 | 2714 | 0.0872 | 0.5595 | 0.7067 | 0.4630 |
| 0.0749 | 2.0 | 5428 | 0.0828 | 0.5825 | 0.7059 | 0.4958 |
| 0.0607 | 3.0 | 8142 | 0.0866 | 0.5878 | 0.6644 | 0.5271 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 8, 2025
- Updated
- May 8, 2025