metadata

license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: afrodp95/distilbert-base-uncased-finetuned-job-skills-ner
    results: []

afrodp95/distilbert-base-uncased-finetuned-job-skills-ner

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: 0.3257
Validation Loss: 0.1935
Train Precision: 0.3122
Train Recall: 0.2144
Train F1: 0.2542
Train Accuracy: 0.9521
Epoch: 0

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': 1386, '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
0.3257	0.1935	0.3122	0.2144	0.2542	0.9521	0

Framework versions

Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.2