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bert-emotion
hirenvadalia/bert-emotion
bert-emotion is a text classification model from hirenvadalia. 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
- Apr 19, 2024
- Updated
- Apr 22, 2024
- SHA
- 00d7672f
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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. -->
bert-emotion
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0968
- Precision: 0.7318
- Recall: 0.7244
- Fscore: 0.7260
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Fscore |
|---|---|---|---|---|---|---|
| 0.8764 | 1.0 | 815 | 0.7180 | 0.7398 | 0.6814 | 0.6949 |
| 0.5429 | 2.0 | 1630 | 0.9484 | 0.7405 | 0.6849 | 0.7021 |
| 0.2913 | 3.0 | 2445 | 1.0968 | 0.7318 | 0.7244 | 0.7260 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 19, 2024
- Updated
- Apr 22, 2024