metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: cptanalatriste/request-for-help
results: []
cptanalatriste/request-for-help
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7857
- Train Sparse Categorical Accuracy: 0.4062
- Validation Loss: 0.6532
- Validation Sparse Categorical Accuracy: 0.5714
- 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': 'Adam', 'learning_rate': 3e-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 |
|---|---|---|---|---|
| 0.7857 | 0.4062 | 0.6532 | 0.5714 | 0 |
Framework versions
- Transformers 4.17.0
- TensorFlow 2.6.2
- Datasets 1.18.4
- Tokenizers 0.11.6