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--- |
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tags: |
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- generated_from_trainer |
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- text-generation |
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model-index: |
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- name: bert-base-uncased-bert-base-uncased-finetuned-mbti-0909 |
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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-0909 |
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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: 6.0549 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.2244 | 1.0 | 1735 | 5.7788 | |
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| 4.8483 | 2.0 | 3470 | 5.7647 | |
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| 4.7578 | 3.0 | 5205 | 5.9016 | |
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| 4.5606 | 4.0 | 6940 | 5.9895 | |
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| 4.4314 | 5.0 | 8675 | 6.0549 | |
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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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