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---
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license: apache-2.0
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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: bert-base-uncased-finetuned-detests
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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-detests
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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: 1.0660
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- Accuracy: 0.8232
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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: 16
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- eval_batch_size: 16
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4677 | 1.0 | 153 | 0.4412 | 0.8101 |
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| 0.468 | 2.0 | 306 | 0.4210 | 0.8167 |
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| 0.2216 | 3.0 | 459 | 0.4649 | 0.8183 |
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| 0.1552 | 4.0 | 612 | 0.5008 | 0.8069 |
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| 0.0962 | 5.0 | 765 | 0.7498 | 0.8347 |
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| 0.0379 | 6.0 | 918 | 0.8682 | 0.8282 |
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| 0.0026 | 7.0 | 1071 | 0.9450 | 0.8249 |
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| 0.0202 | 8.0 | 1224 | 1.0202 | 0.8282 |
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| 0.0011 | 9.0 | 1377 | 1.0601 | 0.8282 |
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| 0.0305 | 10.0 | 1530 | 1.0660 | 0.8232 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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