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--- |
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library_name: transformers |
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license: mit |
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base_model: Turkish-NLP/t5-efficient-base-turkish |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-base-turkish-reincames-hukuk |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-base-turkish-reincames-hukuk |
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This model is a fine-tuned version of [Turkish-NLP/t5-efficient-base-turkish](https://huggingface.co/Turkish-NLP/t5-efficient-base-turkish) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9889 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.3603 | 1.0 | 2671 | 1.1303 | |
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| 0.9344 | 2.0 | 5342 | 0.9793 | |
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| 0.6756 | 3.0 | 8013 | 0.9169 | |
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| 0.4619 | 4.0 | 10684 | 0.9269 | |
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| 0.3474 | 5.0 | 13355 | 0.9889 | |
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### Framework versions |
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- Transformers 4.51.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
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