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---
license: mit
base_model: badokorach/xlm-roberta-base-finetuned-mlqa
tags:
- generated_from_keras_callback
model-index:
- name: badokorach/roberta-base-agric-trans-290124
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/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
|