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# 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

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "badokorach/afriqa_afroxlmr_squad_v2-luganda", "model-index": [{"name": "badokorach/afriqa_afroxlmr_squad_v2-luganda_311223", "results": []}]}
transformers tf xlm-roberta question-answering generated_from_keras_callback base_model:badokorach/afriqa_afroxlmr_squad_v2-luganda license:mit endpoints_compatible region:us