metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: agnewsDistilt
results: []
agnewsDistilt
This model is a fine-tuned version of distilbert/distilbert-base-uncased on Ag_news Dataset. It achieves the following results on the evaluation set:
- Loss: 0.1813
- Accuracy: 0.9401
- F1 Macro: 0.9401
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.2031 | 1.0 | 7500 | 0.1813 | 0.9401 | 0.9401 |
| 0.1349 | 2.0 | 15000 | 0.1828 | 0.9476 | 0.9477 |
| 0.0908 | 3.0 | 22500 | 0.2132 | 0.9471 | 0.9472 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0