metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Intent-Classification-Bert-Base-Cased
results: []
Intent-Classification-Bert-Base-Cased
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6110
- Train Sparse Categorical Accuracy: 0.9836
- Validation Loss: 0.4073
- Validation Sparse Categorical Accuracy: 0.9583
- 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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 2.5420 | 0.3224 | 1.9997 | 0.6806 | 0 |
| 1.4238 | 0.8684 | 0.9106 | 0.9444 | 1 |
| 0.6110 | 0.9836 | 0.4073 | 0.9583 | 2 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.2
- Tokenizers 0.12.1