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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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<!-- 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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# bert-base-uncased-finetuned-stationary-chatgptDS |
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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: 0.7019 |
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- Accuracy: 0.84 |
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- F1: 0.8367 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.5554 | 1.0 | 75 | 0.4860 | 0.7867 | 0.7674 | |
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| 0.3768 | 2.0 | 150 | 0.4438 | 0.8117 | 0.8103 | |
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| 0.2551 | 3.0 | 225 | 0.4781 | 0.8333 | 0.8284 | |
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| 0.1581 | 4.0 | 300 | 0.4850 | 0.8383 | 0.8334 | |
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| 0.1051 | 5.0 | 375 | 0.5698 | 0.845 | 0.8381 | |
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| 0.0726 | 6.0 | 450 | 0.6293 | 0.845 | 0.8439 | |
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| 0.05 | 7.0 | 525 | 0.6414 | 0.8417 | 0.8396 | |
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| 0.031 | 8.0 | 600 | 0.7114 | 0.8483 | 0.8474 | |
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| 0.026 | 9.0 | 675 | 0.6890 | 0.8467 | 0.8433 | |
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| 0.0198 | 10.0 | 750 | 0.7019 | 0.84 | 0.8367 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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