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DistilBERT_trainer_emotion
Meet04/DistilBERT_trainer_emotion
DistilBERT_trainer_emotion is a text classification model from Meet04. 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 13, 2024
- Updated
- Mar 13, 2024
- SHA
- 0e3e95ed
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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_trainer_emotion
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: 0.4147
- Accuracy: 0.9265
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0736 | 1.0 | 1000 | 0.2746 | 0.9325 |
| 0.0594 | 2.0 | 2000 | 0.2493 | 0.939 |
| 0.0459 | 3.0 | 3000 | 0.2769 | 0.941 |
| 0.035 | 4.0 | 4000 | 0.3125 | 0.943 |
| 0.0261 | 5.0 | 5000 | 0.3295 | 0.9405 |
| 0.0163 | 6.0 | 6000 | 0.3190 | 0.9435 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024