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distilbert-base-uncased_emotion_ft_0416
Peter4/distilbert-base-uncased_emotion_ft_0416
distilbert-base-uncased_emotion_ft_0416 is a text classification model from Peter4. 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
- distilbert
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Apr 20, 2024
- SHA
- e338cbe0
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Base models
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. -->
distilbert-base-uncased_emotion_ft_0416
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1489
- Accuracy: 0.9355
- F1: 0.9355
- Precision: 0.9083
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 |
|---|---|---|---|---|---|---|
| 0.7697 | 1.0 | 250 | 0.2589 | 0.9215 | 0.9218 | 0.8905 |
| 0.2077 | 2.0 | 500 | 0.1735 | 0.929 | 0.9293 | 0.9003 |
| 0.1397 | 3.0 | 750 | 0.1531 | 0.934 | 0.9346 | 0.8979 |
| 0.1136 | 4.0 | 1000 | 0.1489 | 0.9355 | 0.9355 | 0.9083 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 6, 2024
- Updated
- Apr 20, 2024