distillbert-base-sst-myers-briggs-mixed-classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2795
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3913 | 1.0 | 1250 | 0.3104 |
| 0.2896 | 2.0 | 2500 | 0.2795 |
| 0.1814 | 3.0 | 3750 | 0.2810 |
| 0.1271 | 4.0 | 5000 | 0.3228 |
| 0.042 | 5.0 | 6250 | 0.3681 |
| 0.1128 | 6.0 | 7500 | 0.4417 |
| 0.0383 | 7.0 | 8750 | 0.4947 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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