license: mit | |
tags: | |
- generated_from_trainer | |
datasets: | |
- t_qu_ad2 | |
model-index: | |
- name: turkish-bert-base-cased-tquad2 | |
results: [] | |
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# turkish-bert-base-cased-tquad2 | |
This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the t_qu_ad2 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 2.0776 | |
## 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: 48 | |
- eval_batch_size: 48 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| No log | 1.0 | 297 | 1.7146 | | |
| No log | 2.0 | 594 | 1.9282 | | |
| No log | 3.0 | 891 | 2.0776 | | |
### Framework versions | |
- Transformers 4.26.1 | |
- Pytorch 1.13.0 | |
- Datasets 2.1.0 | |
- Tokenizers 0.13.2 | |