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---
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-uncased-bert-base-uncased-finetuned-mbti-0905
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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-bert-base-uncased-finetuned-mbti-0905
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1300
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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: 4
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 6.1123 | 1.0 | 1735 | 5.8687 |
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| 5.7296 | 2.0 | 3470 | 5.7366 |
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| 5.4171 | 3.0 | 5205 | 5.7069 |
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| 5.1515 | 4.0 | 6940 | 5.7513 |
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| 4.972 | 5.0 | 8675 | 5.7805 |
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| 4.8949 | 6.0 | 10410 | 5.5448 |
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| 4.2657 | 7.0 | 12145 | 4.9113 |
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| 3.6447 | 8.0 | 13880 | 4.1228 |
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| 3.0587 | 9.0 | 15615 | 3.6803 |
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| 2.8321 | 10.0 | 17350 | 3.4982 |
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| 2.5816 | 11.0 | 19085 | 2.8572 |
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| 1.9901 | 12.0 | 20820 | 2.4997 |
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| 1.5719 | 13.0 | 22555 | 2.2799 |
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| 1.2894 | 14.0 | 24290 | 2.1577 |
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| 1.1245 | 15.0 | 26025 | 2.1300 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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