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distilbert-base-turkish-cased-finetuned-emotion
BenTata-86/distilbert-base-turkish-cased-finetuned-emotion
distilbert-base-turkish-cased-finetuned-emotion is a text classification model from BenTata-86. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- Aug 25, 2022
- Updated
- Aug 25, 2022
- SHA
- d5ffea2c
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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-turkish-cased-finetuned-emotion
This model is a fine-tuned version of dbmdz/distilbert-base-turkish-cased on the turkish-multiclass-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4861
- F1: {'f1': 0.8276613385259164}
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2578 | 1.0 | 313 | 0.5459 | {'f1': 0.8212239281513611} |
| 0.381 | 2.0 | 626 | 0.4861 | {'f1': 0.8276613385259164} |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Created
- Aug 25, 2022
- Updated
- Aug 25, 2022