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turkish-sentiment-distilbert-v3
sefa-alper/turkish-sentiment-distilbert-v3
turkish-sentiment-distilbert-v3 is a text classification model from sefa-alper. 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
- Jul 1, 2024
- Updated
- Jul 1, 2024
- SHA
- 5ddfba71
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. -->
Bert Turkish Sentiment
This model is a fine-tuned version of dbmdz/distilbert-base-turkish-cased on the Sentiment-Analysis-Turkish-DistiBert dataset. It achieves the following results on the evaluation set:
- Loss: 0.4475
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4537 | 0.5663 | 500 | 0.3643 |
| 0.3209 | 1.1325 | 1000 | 0.4112 |
| 0.2617 | 1.6988 | 1500 | 0.3926 |
| 0.207 | 2.2650 | 2000 | 0.4289 |
| 0.1546 | 2.8313 | 2500 | 0.4475 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Languages
- tr
- Created
- Jul 1, 2024
- Updated
- Jul 1, 2024