metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: news-d-bert
results: []
news-d-bert
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: 0.0026
- F1 Score: 0.9992
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| 0.0248 | 1.0 | 4488 | 0.0187 | 0.9974 |
| 0.0195 | 2.0 | 8976 | 0.0144 | 0.9981 |
| 0.0271 | 3.0 | 13464 | 0.0176 | 0.9979 |
| 0.007 | 4.0 | 17952 | 0.0045 | 0.9987 |
| 0.0 | 5.0 | 22440 | 0.0026 | 0.9992 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1