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xlm-roberta-finetuned-ner-higher-ratio – AI Model by juro95 | AlphaNeural AI
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juro95
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xlm-roberta-finetuned-ner-higher-ratio
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transformers
tf
xlm-roberta
token-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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juro95/xlm-roberta-finetuned-ner-higher-ratio
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: 0.0860
Validation Loss: 0.1320
Epoch: 3
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': 53852, '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
0.3317
0.1971
0
0.1689
0.1699
1
0.1179
0.1360
2
0.0860
0.1320
3
Framework versions
Transformers 4.25.1
TensorFlow 2.6.5
Datasets 2.3.2
Tokenizers 0.13.2
