metadata
license: mit
base_model: badokorach/roberta-base-squad2-agric-181223
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC
results: []
badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC
This model is a fine-tuned version of badokorach/roberta-base-squad2-agric-181223 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.7330
- Validation Loss: 0.0
- Epoch: 9
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': 2e-05, 'decay_steps': 2220, '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 |
|---|---|---|
| 2.8883 | 0.0 | 0 |
| 2.6908 | 0.0 | 1 |
| 2.5937 | 0.0 | 2 |
| 2.5252 | 0.0 | 3 |
| 2.4397 | 0.0 | 4 |
| 2.3188 | 0.0 | 5 |
| 2.1666 | 0.0 | 6 |
| 2.0118 | 0.0 | 7 |
| 1.8718 | 0.0 | 8 |
| 1.7330 | 0.0 | 9 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1