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PEFT_model_4cat

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: roberta-large
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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: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0605
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+ - F1: 0.9264
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+ - Roc Auc: 0.9583
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+ - Accuracy: 0.9364
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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: 0.003
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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: 7
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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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+ | No log | 1.0 | 289 | 0.1752 | 0.7926 | 0.8617 | 0.8295 |
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+ | 0.1506 | 2.0 | 578 | 0.0964 | 0.8924 | 0.9262 | 0.9102 |
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+ | 0.1506 | 3.0 | 867 | 0.0782 | 0.9116 | 0.9517 | 0.9233 |
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+ | 0.0518 | 4.0 | 1156 | 0.0695 | 0.9132 | 0.9309 | 0.9284 |
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+ | 0.0518 | 5.0 | 1445 | 0.0626 | 0.9320 | 0.9628 | 0.9395 |
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+ | 0.0284 | 6.0 | 1734 | 0.0595 | 0.9270 | 0.9621 | 0.9364 |
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+ | 0.0109 | 7.0 | 2023 | 0.0605 | 0.9264 | 0.9583 | 0.9364 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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