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bert-base-uncased_emotion_ft
colingao/bert-base-uncased_emotion_ft
bert-base-uncased_emotion_ft is a text classification model from colingao. 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
- bert
- Access
- Public
- Created
- Oct 25, 2023
- Updated
- Oct 25, 2023
- SHA
- 37608c93
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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_emotion_ft
This model was trained from scratch on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1553
- Accuracy: 0.9355
- F1: 0.9357
- Precision: 0.9108
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 | Precision |
|---|---|---|---|---|---|---|
| 0.82 | 1.0 | 250 | 0.2697 | 0.9105 | 0.9112 | 0.8759 |
| 0.2002 | 2.0 | 500 | 0.1846 | 0.9325 | 0.9331 | 0.9059 |
| 0.1237 | 3.0 | 750 | 0.1562 | 0.9365 | 0.9368 | 0.9120 |
| 0.097 | 4.0 | 1000 | 0.1553 | 0.9355 | 0.9357 | 0.9108 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 25, 2023
- Updated
- Oct 25, 2023