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afrodp95/
bert-base-spanish-wwm-cased-finetuned-job-skills-ner

Name: bert-base-spanish-wwm-cased-finetuned-job-skills-ner
Availability: InStock

transformers

bert

token-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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afrodp95/bert-base-spanish-wwm-cased-finetuned-job-skills-ner

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

Train Loss: 0.0894
Validation Loss: 0.1205
Train Precision: 0.4356
Train Recall: 0.5321
Train F1: 0.4790
Train Accuracy: 0.9561
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': 3e-05, 'decay_steps': 924, '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: float32

Training results

Train Loss	Validation Loss	Train Precision	Train Recall	Train F1	Train Accuracy	Epoch
0.2975	0.1545	0.3661	0.3194	0.3411	0.9547	0
0.1355	0.1216	0.4282	0.4544	0.4409	0.9584	1
0.1055	0.1189	0.4506	0.5431	0.4925	0.9572	2
0.0894	0.1205	0.4356	0.5321	0.4790	0.9561	3

Framework versions

Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.2