| ---
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| license: mit
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| base_model: FacebookAI/roberta-large
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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: fine_tuned_raid_human_clean
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| results: []
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| ---
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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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| # fine_tuned_raid_human_clean
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| This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1052
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| - Accuracy: 0.9825
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|
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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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|
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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: 2e-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: 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: 3
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | 0.4292 | 0.04 | 100 | 0.7224 | 0.81 |
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| | 0.2732 | 0.09 | 200 | 0.4461 | 0.9015 |
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| | 0.2239 | 0.13 | 300 | 0.1854 | 0.9685 |
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| | 0.2331 | 0.18 | 400 | 0.0785 | 0.983 |
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| | 0.1365 | 0.22 | 500 | 0.1052 | 0.9825 |
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| | 0.1672 | 0.27 | 600 | 0.1294 | 0.975 |
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| | 0.1344 | 0.31 | 700 | 0.1861 | 0.9625 |
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| | 0.0879 | 0.36 | 800 | 0.1234 | 0.978 |
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| ### Framework versions
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| - Transformers 4.36.2
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| - Pytorch 2.1.1+cu118
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| - Datasets 2.16.0
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| - Tokenizers 0.15.0
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