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distilbert-base-uncased_emotion_ft_0703
liuguojing/distilbert-base-uncased_emotion_ft_0703
distilbert-base-uncased_emotion_ft_0703 is a text classification model from liuguojing. 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
- Jul 3, 2024
- Updated
- Jul 3, 2024
- SHA
- 843cca72
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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_0703
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: 0.1464
- Accuracy: 0.934
- F1: 0.9338
- Precision: 0.9132
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 |
|---|---|---|---|---|---|---|
| 0.7938 | 1.0 | 250 | 0.2507 | 0.9225 | 0.9225 | 0.8961 |
| 0.1988 | 2.0 | 500 | 0.1691 | 0.9265 | 0.9270 | 0.8980 |
| 0.134 | 3.0 | 750 | 0.1478 | 0.937 | 0.9372 | 0.9039 |
| 0.1066 | 4.0 | 1000 | 0.1464 | 0.934 | 0.9338 | 0.9132 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 3, 2024
- Updated
- Jul 3, 2024