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distilbert-base-uncased-finetuned-emotion-overall-2nd
LeBruse/distilbert-base-uncased-finetuned-emotion-overall-2nd
distilbert-base-uncased-finetuned-emotion-overall-2nd 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 15, 2024
- Updated
- Mar 15, 2024
- SHA
- ea48fa10
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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-overall-2nd
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: 0.9642
- Accuracy: 0.7753
- F1: 0.7701
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 |
|---|---|---|---|---|---|
| 0.4263 | 1.0 | 63 | 0.7986 | 0.7654 | 0.7553 |
| 0.3167 | 2.0 | 126 | 0.8225 | 0.7674 | 0.7594 |
| 0.2212 | 3.0 | 189 | 0.8309 | 0.7734 | 0.7659 |
| 0.169 | 4.0 | 252 | 0.8867 | 0.7654 | 0.7597 |
| 0.1394 | 5.0 | 315 | 0.9140 | 0.7664 | 0.7607 |
| 0.1164 | 6.0 | 378 | 0.9379 | 0.7724 | 0.7677 |
| 0.0913 | 7.0 | 441 | 0.9397 | 0.7783 | 0.7732 |
| 0.0777 | 8.0 | 504 | 0.9515 | 0.7744 | 0.7694 |
| 0.0732 | 9.0 | 567 | 0.9616 | 0.7744 | 0.7692 |
| 0.0607 | 10.0 | 630 | 0.9642 | 0.7753 | 0.7701 |
Framework versions
- Transformers 4.38.2
- 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 15, 2024
- Updated
- Mar 15, 2024