metadata
library_name: transformers
license: apache-2.0
base_model: jtatman/distillbert-base-sst-myers-briggs-classifier
tags:
- generated_from_trainer
model-index:
- name: distillbert-base-sst-myers-briggs-description-classifier
results: []
distillbert-base-sst-myers-briggs-description-classifier
This model is a fine-tuned version of jtatman/distillbert-base-sst-myers-briggs-classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2995
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: 8
- 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 |
|---|---|---|---|
| 0.3966 | 1.0 | 2500 | 0.3182 |
| 0.0964 | 2.0 | 5000 | 0.2995 |
| 0.1303 | 3.0 | 7500 | 0.3781 |
| 0.2824 | 4.0 | 10000 | 0.3750 |
| 0.0697 | 5.0 | 12500 | 0.4141 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3