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distilbert-base-uncased-finetuned-emotion
WaelRash1/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from WaelRash1. 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
- Aug 5, 2023
- Updated
- Aug 5, 2023
- SHA
- 45bb6061
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Datasets
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 WaelRash1/distilbert-base-uncased-finetuned-emotion on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1480
- Accuracy: 0.9435
- F1: 0.9436
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.199 | 1.0 | 500 | 0.1791 | 0.9315 | 0.9321 |
| 0.1224 | 2.0 | 1000 | 0.1498 | 0.94 | 0.9405 |
| 0.0886 | 3.0 | 1500 | 0.1456 | 0.942 | 0.9421 |
| 0.0682 | 4.0 | 2000 | 0.1480 | 0.9435 | 0.9436 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 5, 2023
- Updated
- Aug 5, 2023