metadata
license: apache-2.0
tags:
- classification
- generated_from_trainer
datasets:
- ag_news
metrics:
- accuracy
model-index:
- name: clasificador-news
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ag_news
type: ag_news
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.9242304656669298
clasificador-news
This model is a fine-tuned version of bert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.4101
- Accuracy: 0.9242
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3342 | 1.0 | 2500 | 0.3777 | 0.8990 |
| 0.2165 | 2.0 | 5000 | 0.3523 | 0.9219 |
| 0.0969 | 3.0 | 7500 | 0.4101 | 0.9242 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2