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Fine-tune-dbmdz-bert-base-turkish-cased
Apoksk1/Fine-tune-dbmdz-bert-base-turkish-cased
Fine-tune-dbmdz-bert-base-turkish-cased is a text classification model from Apoksk1. 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
- bert
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024
- SHA
- 02ba5222
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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. -->
test_trainer
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0081
- Accuracy: 0.5121
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5044 | 1.0 | 10254 | 0.3762 | 0.8908 |
| 0.9979 | 2.0 | 20508 | 1.0054 | 0.5143 |
| 1.0144 | 3.0 | 30762 | 1.0071 | 0.5121 |
| 1.0136 | 4.0 | 41016 | 1.0081 | 0.5121 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024