| | ---
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| | library_name: transformers
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| | license: apache-2.0
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| | base_model: bert-base-uncased
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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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| | - accuracy
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| | model-index:
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| | - name: newly_fine_tuned_bert
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| | results: []
|
| | ---
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| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
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| | # newly_fine_tuned_bert
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| |
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| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.2557
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| | - F1: 0.7778
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| | - Roc Auc: 0.8730
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| | - Accuracy: 0.7778
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2e-05
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| | - train_batch_size: 4
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| | - eval_batch_size: 4
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| | - seed: 42
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| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| | - lr_scheduler_type: linear
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| | - num_epochs: 300
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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| | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| | | 0.0276 | 39.5 | 790 | 0.1386 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0103 | 79.0 | 1580 | 0.1666 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0057 | 118.5 | 2370 | 0.2108 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0037 | 158.0 | 3160 | 0.2036 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0027 | 197.5 | 3950 | 0.2322 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0021 | 237.0 | 4740 | 0.2418 | 0.7778 | 0.8730 | 0.7778 |
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| | | 0.0018 | 276.5 | 5530 | 0.2557 | 0.7778 | 0.8730 | 0.7778 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.45.2
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| | - Pytorch 2.4.0+cu124
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| | - Datasets 3.0.1
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| | - Tokenizers 0.20.1
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| | |
