metadata
tags:
- generated_from_keras_callback
model-index:
- name: veb/twitch-bert-base-cased-finetuned
results: []
veb/twitch-bert-base-cased-finetuned
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2929
- Train Sparse Categorical Accuracy: 0.8768
- Validation Loss: 0.1927
- Validation Sparse Categorical Accuracy: 0.9483
- 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': 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 |
|---|---|---|---|---|
| 0.2929 | 0.8768 | 0.1927 | 0.9483 | 0 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.7.0
- Datasets 2.2.2
- Tokenizers 0.12.1