metadata
license: apache-2.0
tags:
- ag_news-distilbert-base-uncased
- 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: 0.9033149171270718
clasificador-news
This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.4391
- Accuracy: 0.9033
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 |
|---|---|---|---|---|
| 0.2513 | 1.0 | 715 | 0.3897 | 0.8978 |
| 0.1873 | 2.0 | 1430 | 0.4007 | 0.9088 |
| 0.074 | 3.0 | 2145 | 0.4391 | 0.9033 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3