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bert-base-uncased-finetuned-emotion
Gridflow/bert-base-uncased-finetuned-emotion
bert-base-uncased-finetuned-emotion is a text classification model from Gridflow. 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 3, 2023
- Updated
- May 24, 2023
- SHA
- f701e7fb
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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-base-uncased-finetuned-emotion
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: 0.3648
- Accuracy: 0.9405
- F1: 0.9404
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0177 | 1.0 | 250 | 0.3372 | 0.933 | 0.9331 |
| 0.0149 | 2.0 | 500 | 0.3434 | 0.9385 | 0.9386 |
| 0.012 | 3.0 | 750 | 0.3878 | 0.9355 | 0.9353 |
| 0.0135 | 4.0 | 1000 | 0.3981 | 0.938 | 0.9371 |
| 0.0088 | 5.0 | 1250 | 0.3695 | 0.94 | 0.9400 |
| 0.0112 | 6.0 | 1500 | 0.4133 | 0.933 | 0.9334 |
| 0.0105 | 7.0 | 1750 | 0.3733 | 0.937 | 0.9370 |
| 0.0117 | 8.0 | 2000 | 0.3625 | 0.938 | 0.9381 |
| 0.0126 | 9.0 | 2250 | 0.3539 | 0.9405 | 0.9405 |
| 0.0095 | 10.0 | 2500 | 0.3963 | 0.9315 | 0.9318 |
| 0.0088 | 11.0 | 2750 | 0.3692 | 0.9355 | 0.9353 |
| 0.0072 | 12.0 | 3000 | 0.3646 | 0.9385 | 0.9385 |
| 0.0064 | 13.0 | 3250 | 0.3630 | 0.9375 | 0.9373 |
| 0.0052 | 14.0 | 3500 | 0.3659 | 0.9405 | 0.9403 |
| 0.005 | 15.0 | 3750 | 0.3648 | 0.9405 | 0.9404 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 3, 2023
- Updated
- May 24, 2023