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distilbert-base-uncased-finetuned-emotion
MonsMayli/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from MonsMayli. 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 19, 2024
- Updated
- Sep 30, 2024
- SHA
- ad6dad84
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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
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: 0.1721
- Accuracy: 0.941
- F1: 0.9412
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 |
|---|---|---|---|---|---|
| 0.774 | 1.0 | 250 | 0.2596 | 0.919 | 0.9196 |
| 0.1981 | 2.0 | 500 | 0.1754 | 0.932 | 0.9317 |
| 0.1344 | 3.0 | 750 | 0.1664 | 0.9355 | 0.9364 |
| 0.1071 | 4.0 | 1000 | 0.1471 | 0.942 | 0.9421 |
| 0.0846 | 5.0 | 1250 | 0.1478 | 0.9385 | 0.9382 |
| 0.0718 | 6.0 | 1500 | 0.1538 | 0.9375 | 0.9379 |
| 0.0595 | 7.0 | 1750 | 0.1677 | 0.9325 | 0.9323 |
| 0.0501 | 8.0 | 2000 | 0.1688 | 0.9335 | 0.9338 |
| 0.0402 | 9.0 | 2250 | 0.1708 | 0.941 | 0.9410 |
| 0.037 | 10.0 | 2500 | 0.1721 | 0.941 | 0.9412 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 19, 2024
- Updated
- Sep 30, 2024