Edit model card

beto_stars

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.8954
  • Train Accuracy: 0.6248
  • Validation Loss: 1.1278
  • Validation Accuracy: 0.5148
  • Epoch: 14

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
1.5935 0.2626 1.5553 0.3482 0
1.5072 0.3782 1.4289 0.4188 1
1.3590 0.4312 1.2929 0.4406 2
1.2463 0.4628 1.2197 0.4682 3
1.1754 0.4970 1.1785 0.4830 4
1.1299 0.5114 1.1533 0.4908 5
1.0847 0.5362 1.1398 0.5006 6
1.0492 0.5440 1.1273 0.5046 7
1.0278 0.5592 1.1237 0.5034 8
1.0031 0.5690 1.1171 0.5118 9
0.9798 0.5712 1.1163 0.5120 10
0.9598 0.5894 1.1180 0.5114 11
0.9406 0.5964 1.1219 0.5122 12
0.9178 0.6104 1.1269 0.5150 13
0.8954 0.6248 1.1278 0.5148 14

Framework versions

  • Transformers 4.17.0
  • TensorFlow 2.8.0
  • Datasets 1.18.4
  • Tokenizers 0.11.6
Downloads last month
14