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bertweet-base-finetuned-emotion
bhadresh-savani/bertweet-base-finetuned-emotion
bertweet-base-finetuned-emotion is a text classification model from bhadresh-savani. 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
- Jul 11, 2022
- Updated
- Mar 22, 2023
- SHA
- 21c94aad
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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. -->
bertweet-base-finetuned-emotion
This model is a fine-tuned version of vinai/bertweet-base on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1737
- Accuracy: 0.929
- F1: 0.9296
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9469 | 1.0 | 250 | 0.3643 | 0.895 | 0.8921 |
| 0.2807 | 2.0 | 500 | 0.2173 | 0.9245 | 0.9252 |
| 0.1749 | 3.0 | 750 | 0.1859 | 0.926 | 0.9266 |
| 0.1355 | 4.0 | 1000 | 0.1737 | 0.929 | 0.9296 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.11.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 11, 2022
- Updated
- Mar 22, 2023