metadata
license: apache-2.0
base_model: badokorach/distilbert-base-cased-distilled-agric-trans-240224
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/distilbert-base-cased-distilled-agric-trans-2402241
results: []
badokorach/distilbert-base-cased-distilled-agric-trans-2402241
This model is a fine-tuned version of badokorach/distilbert-base-cased-distilled-agric-trans-240224 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2119
- Validation Loss: 0.0
- Epoch: 14
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 690, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
- training_precision: mixed_float16
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.8415 | 0.0 | 0 |
0.7094 | 0.0 | 1 |
0.6198 | 0.0 | 2 |
0.5324 | 0.0 | 3 |
0.4700 | 0.0 | 4 |
0.4164 | 0.0 | 5 |
0.3747 | 0.0 | 6 |
0.3353 | 0.0 | 7 |
0.3137 | 0.0 | 8 |
0.2898 | 0.0 | 9 |
0.2684 | 0.0 | 10 |
0.2474 | 0.0 | 11 |
0.2469 | 0.0 | 12 |
0.2305 | 0.0 | 13 |
0.2119 | 0.0 | 14 |
Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.1
- Tokenizers 0.15.2