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umit_42000news_electra_cased
This model is a fine-tuned version of dbmdz/electra-base-turkish-cased-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0254
- Accuracy: 0.6587
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.179 | 1.0 | 1584 | 1.1892 | 0.5920 |
| 1.0257 | 2.0 | 3168 | 1.0529 | 0.6409 |
| 0.7287 | 3.0 | 4752 | 1.0254 | 0.6587 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
