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metadata
language:
  - es
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: distilbert-base-uncased
model-index:
  - name: Sebastian77/distilbert-base-uncased-finetuned-plantl_gob_es
    results: []

Sebastian77/distilbert-base-uncased-finetuned-plantl_gob_es

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

  • Train Loss: 1.7487
  • Train End Logits Accuracy: 0.5839
  • Train Start Logits Accuracy: 0.5369
  • Validation Loss: 2.0212
  • Validation End Logits Accuracy: 0.5396
  • Validation Start Logits Accuracy: 0.5058
  • Epoch: 2

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5046, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train End Logits Accuracy Train Start Logits Accuracy Validation Loss Validation End Logits Accuracy Validation Start Logits Accuracy Epoch
2.6777 0.4400 0.4209 2.1506 0.5098 0.4806 0
2.0078 0.5336 0.4909 2.0486 0.5289 0.4965 1
1.7487 0.5839 0.5369 2.0212 0.5396 0.5058 2

Framework versions

  • Transformers 4.27.3
  • TensorFlow 2.11.0
  • Datasets 2.10.1
  • Tokenizers 0.13.2