---
license: mit
base_model: badokorach/roberta-base-squad2-agric-181223
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/xlm-roberta-base-finetuned-mlqa-AGRIC
  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/xlm-roberta-base-finetuned-mlqa-AGRIC

This model is a fine-tuned version of [badokorach/roberta-base-squad2-agric-181223](https://huggingface.co/badokorach/roberta-base-squad2-agric-181223) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0002
- Validation Loss: 0.0
- Epoch: 19

## 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3040, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.2978     | 0.0             | 0     |
| 0.0258     | 0.0             | 1     |
| 0.0116     | 0.0             | 2     |
| 0.0072     | 0.0             | 3     |
| 0.0083     | 0.0             | 4     |
| 0.0061     | 0.0             | 5     |
| 0.0045     | 0.0             | 6     |
| 0.0019     | 0.0             | 7     |
| 0.0074     | 0.0             | 8     |
| 0.0008     | 0.0             | 9     |
| 0.0007     | 0.0             | 10    |
| 0.0002     | 0.0             | 11    |
| 0.0004     | 0.0             | 12    |
| 0.0002     | 0.0             | 13    |
| 0.0002     | 0.0             | 14    |
| 0.0002     | 0.0             | 15    |
| 0.0002     | 0.0             | 16    |
| 0.0001     | 0.0             | 17    |
| 0.0002     | 0.0             | 18    |
| 0.0002     | 0.0             | 19    |


### Framework versions

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