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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-large-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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+ - f1
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+ model-index:
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+ - name: xlnet-large-cased-detect-dep-v5
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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-large-cased-detect-dep-v5
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+
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+ This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5925
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+ - Accuracy: 0.73
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+ - F1: 0.7991
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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-06
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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: 5
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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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6442 | 1.0 | 751 | 0.5586 | 0.733 | 0.8150 |
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+ | 0.6032 | 2.0 | 1502 | 0.5649 | 0.743 | 0.8163 |
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+ | 0.5574 | 3.0 | 2253 | 0.5397 | 0.754 | 0.8148 |
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+ | 0.5368 | 4.0 | 3004 | 0.6118 | 0.727 | 0.8062 |
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+ | 0.5123 | 5.0 | 3755 | 0.5925 | 0.73 | 0.7991 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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