metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bbq-distil_bumble_bert-classification
results: []
bbq-distil_bumble_bert-classification
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6413
- Accuracy: 0.6611
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Roc Auc: 0.4923
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 0.6527 | 0.1709 | 500 | 0.6433 | 0.6611 | 0.0 | 0.0 | 0.0 | 0.4982 |
| 0.6229 | 0.3419 | 1000 | 0.6458 | 0.6611 | 0.0 | 0.0 | 0.0 | 0.5011 |
| 0.6258 | 0.5128 | 1500 | 0.6403 | 0.6611 | 0.0 | 0.0 | 0.0 | 0.5120 |
| 0.6595 | 0.6838 | 2000 | 0.6413 | 0.6611 | 0.0 | 0.0 | 0.0 | 0.4923 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0