metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Rocketknight1/distilbert-base-uncased-finetuned-ner
results: []
Rocketknight1/distilbert-base-uncased-finetuned-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: 0.0341
- Validation Loss: 0.0591
- Train Precision: 0.9226
- Train Recall: 0.9351
- Train F1: 0.9288
- Train Accuracy: 0.9831
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2631, '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 |
---|---|---|---|---|---|---|
0.1966 | 0.0701 | 0.9031 | 0.9223 | 0.9126 | 0.9802 | 0 |
0.0543 | 0.0614 | 0.9095 | 0.9325 | 0.9209 | 0.9822 | 1 |
0.0341 | 0.0591 | 0.9226 | 0.9351 | 0.9288 | 0.9831 | 2 |
Framework versions
- Transformers 4.21.0.dev0
- TensorFlow 2.9.1
- Datasets 2.3.3.dev0
- Tokenizers 0.11.0