
<!-- 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/roberta-base-agric-trans-290124

This model is a fine-tuned version of [badokorach/xlm-roberta-base-finetuned-mlqa](https://huggingface.co/badokorach/xlm-roberta-base-finetuned-mlqa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7363
- 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': 460, '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 |
|:----------:|:---------------:|:-----:|
| 2.5938     | 0.0             | 0     |
| 1.9052     | 0.0             | 1     |
| 1.5963     | 0.0             | 2     |
| 1.3926     | 0.0             | 3     |
| 1.1800     | 0.0             | 4     |
| 1.0988     | 0.0             | 5     |
| 0.9305     | 0.0             | 6     |
| 0.8714     | 0.0             | 7     |
| 0.7785     | 0.0             | 8     |
| 0.7363     | 0.0             | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "badokorach/xlm-roberta-base-finetuned-mlqa", "model-index": [{"name": "badokorach/roberta-base-agric-trans-290124", "results": []}]}
transformers tf xlm-roberta question-answering generated_from_keras_callback base_model:badokorach/xlm-roberta-base-finetuned-mlqa license:mit endpoints_compatible region:us