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distilbert-base-uncased-finetuned-emotion-code-mixed
LeBruse/distilbert-base-uncased-finetuned-emotion-code-mixed
distilbert-base-uncased-finetuned-emotion-code-mixed is a text classification model from LeBruse. 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 24, 2024
- Updated
- Mar 24, 2024
- SHA
- a4234887
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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. -->
distilbert-base-uncased-finetuned-emotion-code-mixed
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2370
- Accuracy: 0.7339
- F1: 0.7306
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3773 | 1.0 | 95 | 0.9161 | 0.7240 | 0.7166 |
| 0.2456 | 2.0 | 190 | 0.9599 | 0.7313 | 0.7265 |
| 0.1959 | 3.0 | 285 | 1.0231 | 0.7299 | 0.7259 |
| 0.1373 | 4.0 | 380 | 1.0882 | 0.7326 | 0.7278 |
| 0.1167 | 5.0 | 475 | 1.1567 | 0.7206 | 0.7193 |
| 0.0914 | 6.0 | 570 | 1.1369 | 0.7372 | 0.7323 |
| 0.0715 | 7.0 | 665 | 1.1733 | 0.7405 | 0.7355 |
| 0.0645 | 8.0 | 760 | 1.2331 | 0.7279 | 0.7239 |
| 0.0512 | 9.0 | 855 | 1.2282 | 0.7279 | 0.7248 |
| 0.0444 | 10.0 | 950 | 1.2370 | 0.7339 | 0.7306 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024