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+ ---
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+ library_name: transformers
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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: Intoxicated_Classification_Fine_Tuned_14_epochs
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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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+ # Intoxicated_Classification_Fine_Tuned_14_epochs
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5795
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+ - Accuracy: 0.7187
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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: 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 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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 6980
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4767 | 0.1 | 698 | 1.9866 | 0.5738 |
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+ | 0.2627 | 1.1 | 1396 | 1.2988 | 0.6354 |
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+ | 0.0815 | 2.1 | 2094 | 1.6103 | 0.6692 |
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+ | 0.1119 | 3.1 | 2792 | 1.4690 | 0.7069 |
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+ | 0.0006 | 4.1 | 3490 | 1.2770 | 0.7225 |
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+ | 0.001 | 5.1 | 4188 | 1.7738 | 0.6552 |
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+ | 0.001 | 6.1 | 4886 | 1.9460 | 0.6490 |
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+ | 0.0005 | 7.1 | 5584 | 1.9181 | 0.6830 |
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+ | 0.1412 | 8.1 | 6282 | 1.3001 | 0.7553 |
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+ | 0.001 | 9.1 | 6980 | 1.5795 | 0.7187 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0