|
--- |
|
license: mit |
|
base_model: badokorach/afriqa_afroxlmr_squad_v2-luganda |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: badokorach/afriqa_afroxlmr_squad_v2-luganda_311223 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information Keras had access to. You should |
|
probably proofread and complete it, then remove this comment. --> |
|
|
|
# badokorach/afriqa_afroxlmr_squad_v2-luganda_311223 |
|
|
|
This model is a fine-tuned version of [badokorach/afriqa_afroxlmr_squad_v2-luganda](https://huggingface.co/badokorach/afriqa_afroxlmr_squad_v2-luganda) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.5410 |
|
- Validation Loss: 0.0 |
|
- Epoch: 29 |
|
|
|
## 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': 14760, '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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 3.4699 | 0.0 | 0 | |
|
| 3.3401 | 0.0 | 1 | |
|
| 3.1487 | 0.0 | 2 | |
|
| 2.9589 | 0.0 | 3 | |
|
| 2.7472 | 0.0 | 4 | |
|
| 2.5135 | 0.0 | 5 | |
|
| 2.3000 | 0.0 | 6 | |
|
| 2.0904 | 0.0 | 7 | |
|
| 1.9314 | 0.0 | 8 | |
|
| 1.7617 | 0.0 | 9 | |
|
| 1.6075 | 0.0 | 10 | |
|
| 1.4573 | 0.0 | 11 | |
|
| 1.3275 | 0.0 | 12 | |
|
| 1.2261 | 0.0 | 13 | |
|
| 1.1378 | 0.0 | 14 | |
|
| 1.0358 | 0.0 | 15 | |
|
| 0.9618 | 0.0 | 16 | |
|
| 0.9082 | 0.0 | 17 | |
|
| 0.8762 | 0.0 | 18 | |
|
| 0.8012 | 0.0 | 19 | |
|
| 0.7568 | 0.0 | 20 | |
|
| 0.7120 | 0.0 | 21 | |
|
| 0.6746 | 0.0 | 22 | |
|
| 0.6478 | 0.0 | 23 | |
|
| 0.6286 | 0.0 | 24 | |
|
| 0.5978 | 0.0 | 25 | |
|
| 0.5822 | 0.0 | 26 | |
|
| 0.5444 | 0.0 | 27 | |
|
| 0.5344 | 0.0 | 28 | |
|
| 0.5410 | 0.0 | 29 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- TensorFlow 2.15.0 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
