metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references-D1
results: []
jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references-D1
This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0117
- Train Sparse Categorical Accuracy: 0.9974
- Validation Loss: 0.0126
- Validation Sparse Categorical Accuracy: 0.9974
- 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 |
|---|---|---|---|---|
| 0.0276 | 0.9932 | 0.0156 | 0.9968 | 0 |
| 0.0138 | 0.9969 | 0.0125 | 0.9972 | 1 |
| 0.0117 | 0.9974 | 0.0126 | 0.9974 | 2 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.9.1
- Datasets 2.3.2
- Tokenizers 0.12.1