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Training completed!

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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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: bert-base-uncased-finetuned-stationary-chatgptDS
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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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+ # bert-base-uncased-finetuned-stationary-chatgptDS
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8116
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+ - Accuracy: 0.8133
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+ - F1: 0.8042
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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: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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 | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6175 | 1.0 | 38 | 0.5675 | 0.6733 | 0.5596 |
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+ | 0.4759 | 2.0 | 76 | 0.4458 | 0.7867 | 0.7837 |
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+ | 0.3658 | 3.0 | 114 | 0.4828 | 0.7867 | 0.7684 |
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+ | 0.2535 | 4.0 | 152 | 0.5222 | 0.7933 | 0.7781 |
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+ | 0.1674 | 5.0 | 190 | 0.6154 | 0.7867 | 0.7721 |
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+ | 0.0924 | 6.0 | 228 | 0.7202 | 0.7967 | 0.7799 |
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+ | 0.0817 | 7.0 | 266 | 0.8428 | 0.7667 | 0.7439 |
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+ | 0.0458 | 8.0 | 304 | 0.7745 | 0.81 | 0.7994 |
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+ | 0.0362 | 9.0 | 342 | 0.8375 | 0.8067 | 0.7934 |
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+ | 0.0293 | 10.0 | 380 | 0.8116 | 0.8133 | 0.8042 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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