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distilbert-base-uncased-finetuned-emotion
FrederikKlinkby/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from FrederikKlinkby. 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 10, 2024
- Updated
- Sep 19, 2024
- SHA
- f5840379
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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: 0.1558
- Accuracy: 0.936
- F1: 0.9361
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8053 | 1.0 | 250 | 0.2638 | 0.9155 | 0.9161 |
| 0.2012 | 2.0 | 500 | 0.1705 | 0.934 | 0.9341 |
| 0.1343 | 3.0 | 750 | 0.1514 | 0.936 | 0.9369 |
| 0.1034 | 4.0 | 1000 | 0.1509 | 0.938 | 0.9381 |
| 0.0859 | 5.0 | 1250 | 0.1382 | 0.946 | 0.9457 |
| 0.0697 | 6.0 | 1500 | 0.1553 | 0.9375 | 0.9379 |
| 0.0595 | 7.0 | 1750 | 0.1564 | 0.935 | 0.9351 |
| 0.0527 | 8.0 | 2000 | 0.1558 | 0.936 | 0.9361 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 10, 2024
- Updated
- Sep 19, 2024