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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: xlnet-base-cased
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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: XLNet-Reddit-Toxic-Comment-Classification-10-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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+ # XLNet-Reddit-Toxic-Comment-Classification-10-epochs
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+
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+ This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3201
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+ - Rmse: 0.2815
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+ - Accuracy: 0.9208
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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: 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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+ - 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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rmse | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
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+ | 0.373 | 1.0 | 1073 | 0.3241 | 0.3053 | 0.9068 |
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+ | 0.2543 | 2.0 | 2146 | 0.3201 | 0.2815 | 0.9208 |
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+ | 0.2 | 3.0 | 3219 | 0.4140 | 0.2764 | 0.9236 |
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+ | 0.1553 | 4.0 | 4292 | 0.3502 | 0.2896 | 0.9161 |
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+ | 0.1273 | 5.0 | 5365 | 0.4866 | 0.3007 | 0.9096 |
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+ | 0.0914 | 6.0 | 6438 | 0.4858 | 0.2781 | 0.9226 |
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+ | 0.0808 | 7.0 | 7511 | 0.4164 | 0.2713 | 0.9264 |
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+ | 0.0555 | 8.0 | 8584 | 0.4323 | 0.2731 | 0.9254 |
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+ | 0.0448 | 9.0 | 9657 | 0.4782 | 0.2847 | 0.9189 |
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+ | 0.0339 | 10.0 | 10730 | 0.5052 | 0.2864 | 0.9180 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0.dev0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.14.1
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