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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: google-t5/t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: t5-base-problematic-classifier-nd |
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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-problematic-classifier-nd |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3539 |
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- Accuracy: 0.973 |
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- Auc: 0.996 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:| |
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| 0.6526 | 1.0 | 132 | 0.5609 | 0.818 | 0.994 | |
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| 0.5394 | 2.0 | 264 | 0.4596 | 0.96 | 0.996 | |
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| 0.4575 | 3.0 | 396 | 0.4013 | 0.964 | 0.996 | |
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| 0.4219 | 4.0 | 528 | 0.3635 | 0.973 | 0.996 | |
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| 0.408 | 5.0 | 660 | 0.3539 | 0.973 | 0.996 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
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