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roberta-large_MBTI_I_MBTI_agg_balanced_100
DrinkIcedT/roberta-large_MBTI_I_MBTI_agg_balanced_100
roberta-large_MBTI_I_MBTI_agg_balanced_100 is a text classification model from DrinkIcedT. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 10, 2026
- Updated
- Aug 10, 2026
- SHA
- 708dba44
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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. -->
roberta-large_MBTI_I_MBTI_agg_balanced_100
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6532
- F1: 0.6838
- Threshold: 0.26
- F1 At 05: 0.6735
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Threshold | F1 At 05 |
|---|---|---|---|---|---|---|
| 2.7176 | 0.3876 | 200 | 2.6374 | 0.5915 | 0.47 | 0.5896 |
| 2.6640 | 0.7752 | 400 | 2.5008 | 0.6307 | 0.4100 | 0.5864 |
| 2.1500 | 1.1628 | 600 | 2.4731 | 0.6786 | 0.5 | 0.6786 |
| 2.0324 | 1.5504 | 800 | 2.3081 | 0.6881 | 0.4 | 0.6723 |
| 1.9681 | 1.9380 | 1000 | 2.2625 | 0.6936 | 0.4100 | 0.6750 |
| 1.5680 | 2.3256 | 1200 | 2.4988 | 0.6835 | 0.3400 | 0.6717 |
| 1.4624 | 2.7132 | 1400 | 2.4260 | 0.6932 | 0.26 | 0.6702 |
| 1.0833 | 3.1008 | 1600 | 3.1041 | 0.6919 | 0.3000 | 0.6838 |
| 0.9928 | 3.4884 | 1800 | 2.9947 | 0.6900 | 0.26 | 0.6724 |
| 1.0401 | 3.8760 | 2000 | 3.0488 | 0.6831 | 0.33 | 0.6724 |
| 0.6799 | 4.2636 | 2200 | 3.8499 | 0.6771 | 0.4600 | 0.6750 |
| 0.6773 | 4.6512 | 2400 | 3.6532 | 0.6838 | 0.26 | 0.6735 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.7.1
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 10, 2026
- Updated
- Aug 10, 2026