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emotions-classifier
XtraPatrick987/emotions-classifier
emotions-classifier is a text classification model from XtraPatrick987. 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
- Sep 9, 2024
- Updated
- Sep 9, 2024
- SHA
- b8315bb6
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Base models
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. -->
emotions-classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1407
- Accuracy: 0.939
- F1: 0.9390
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7953 | 1.0 | 250 | 0.2685 | 0.916 | 0.9160 |
| 0.2028 | 2.0 | 500 | 0.1737 | 0.9315 | 0.9314 |
| 0.1359 | 3.0 | 750 | 0.1537 | 0.936 | 0.9366 |
| 0.1078 | 4.0 | 1000 | 0.1415 | 0.938 | 0.9380 |
| 0.0887 | 5.0 | 1250 | 0.1407 | 0.939 | 0.9390 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024