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bert-emotion-clf
jouchuki/bert-emotion-clf
bert-emotion-clf is a text classification model from jouchuki. 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
- Mar 21, 2024
- Updated
- Mar 21, 2024
- SHA
- 9efa00b1
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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. -->
bert-emotion-clf
This model is a fine-tuned version of bert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1641
- F1: 0.9318
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1951 | 1.0 | 1000 | 0.1886 | 0.9328 |
| 0.1353 | 2.0 | 2000 | 0.1450 | 0.9379 |
| 0.0826 | 3.0 | 3000 | 0.1641 | 0.9318 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.2.1+cu121
- Datasets 2.9.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 21, 2024
- Updated
- Mar 21, 2024