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juro95/xlm-roberta-finetuned-ner-full_equal_dist

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

  • Train Loss: 0.0120
  • Validation Loss: 0.0324
  • Epoch: 4

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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 87500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
0.1425 0.0591 0
0.0528 0.0426 1
0.0310 0.0348 2
0.0193 0.0322 3
0.0120 0.0324 4

Framework versions

  • Transformers 4.26.1
  • TensorFlow 2.6.5
  • Datasets 2.3.2
  • Tokenizers 0.13.2
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