| ---
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| library_name: transformers
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| license: mit
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| base_model: prajjwal1/bert-tiny
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| tags:
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| - generated_from_trainer
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| metrics:
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| - f1
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| model-index:
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| - name: test
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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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|
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| # test
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|
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| This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.6897
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| - F1: 0.0
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| - Roc Auc: 0.5
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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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: 3e-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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| - gradient_accumulation_steps: 2
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| - total_train_batch_size: 16
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| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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| - training_steps: 20
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc |
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| |:-------------:|:-----:|:----:|:---------------:|:---:|:-------:|
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| | No log | 1.0 | 1 | 0.6870 | 0.0 | 0.5 |
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| | No log | 2.0 | 2 | 0.6871 | 0.0 | 0.5 |
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| | No log | 3.0 | 3 | 0.6873 | 0.0 | 0.5 |
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| | No log | 4.0 | 4 | 0.6876 | 0.0 | 0.5 |
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| | No log | 5.0 | 5 | 0.6879 | 0.0 | 0.5 |
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| | No log | 6.0 | 6 | 0.6887 | 0.0 | 0.5 |
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| | No log | 7.0 | 7 | 0.6893 | 0.0 | 0.5 |
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| | No log | 8.0 | 8 | 0.6891 | 0.0 | 0.5 |
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| | No log | 9.0 | 9 | 0.6893 | 0.0 | 0.5 |
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| | No log | 10.0 | 10 | 0.6889 | 0.0 | 0.5 |
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| | No log | 11.0 | 11 | 0.6889 | 0.0 | 0.5 |
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| | No log | 12.0 | 12 | 0.6885 | 0.0 | 0.5 |
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| | No log | 13.0 | 13 | 0.6881 | 0.0 | 0.5 |
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| | No log | 14.0 | 14 | 0.6879 | 0.0 | 0.5 |
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| | No log | 15.0 | 15 | 0.6876 | 0.0 | 0.5 |
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| | No log | 16.0 | 16 | 0.6874 | 0.0 | 0.5 |
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| | No log | 17.0 | 17 | 0.6871 | 0.0 | 0.5 |
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| | No log | 18.0 | 18 | 0.6869 | 0.0 | 0.5 |
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| | No log | 19.0 | 19 | 0.6868 | 0.0 | 0.5 |
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| | No log | 20.0 | 20 | 0.6867 | 0.0 | 0.5 |
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| ### Framework versions
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|
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| - Transformers 4.56.1
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| - Pytorch 2.8.0+cpu
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| - Datasets 4.1.0
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| - Tokenizers 0.22.0
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|
