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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/bert-base-nli-mean-tokens |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: mbti-bert-nli-finetuned_v2 |
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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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# mbti-bert-nli-finetuned_v2 |
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This model is a fine-tuned version of [sentence-transformers/bert-base-nli-mean-tokens](https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5429 |
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- F1: 0.5231 |
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- Roc Auc: 0.6546 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
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| 0.5413 | 1.0 | 5948 | 0.5385 | 0.5721 | 0.6766 | |
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| 0.5046 | 2.0 | 11896 | 0.5429 | 0.5231 | 0.6546 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.2 |
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