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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bowphs/GreBerta |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gs-greBERTa |
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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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# gs-greBERTa |
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This model is a fine-tuned version of [bowphs/GreBerta](https://huggingface.co/bowphs/GreBerta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5878 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use 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: 10 |
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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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| 1.2756 | 1.0 | 5710 | 0.9367 | |
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| 0.9522 | 2.0 | 11420 | 0.8217 | |
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| 0.8493 | 3.0 | 17130 | 0.7453 | |
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| 0.781 | 4.0 | 22840 | 0.6875 | |
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| 0.7316 | 5.0 | 28550 | 0.6624 | |
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| 0.6985 | 6.0 | 34260 | 0.6378 | |
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| 0.6736 | 7.0 | 39970 | 0.6155 | |
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| 0.6502 | 8.0 | 45680 | 0.6063 | |
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| 0.6345 | 9.0 | 51390 | 0.5895 | |
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| 0.6232 | 10.0 | 57100 | 0.5866 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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