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mbti-bert-nli-finetuned
ClaudiaRichard/mbti-bert-nli-finetuned
mbti-bert-nli-finetuned is a text classification model from ClaudiaRichard. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 24, 2024
- Updated
- Feb 24, 2024
- SHA
- 639a6d31
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mbti-bert-nli-finetuned
This model is a fine-tuned version of sentence-transformers/bert-base-nli-mean-tokens on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5350
- F1: 0.6448
- Roc Auc: 0.7153
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc |
|---|---|---|---|---|---|
| 0.5349 | 1.0 | 9913 | 0.5330 | 0.6484 | 0.7171 |
| 0.505 | 2.0 | 19826 | 0.5350 | 0.6448 | 0.7153 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 24, 2024
- Updated
- Feb 24, 2024