---
license: mit
base_model: badokorach/roberta-base-squad2-agric-060124
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/roberta-base-squad2-agric-060124](https://huggingface.co/badokorach/roberta-base-squad2-agric-060124) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0007
- Validation Loss: 0.0
- Epoch: 14

## 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': 2280, '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 |
|:----------:|:---------------:|:-----:|
| 0.1894     | 0.0             | 0     |
| 0.0200     | 0.0             | 1     |
| 0.0106     | 0.0             | 2     |
| 0.0094     | 0.0             | 3     |
| 0.0060     | 0.0             | 4     |
| 0.0050     | 0.0             | 5     |
| 0.0048     | 0.0             | 6     |
| 0.0043     | 0.0             | 7     |
| 0.0013     | 0.0             | 8     |
| 0.0013     | 0.0             | 9     |
| 0.0009     | 0.0             | 10    |
| 0.0013     | 0.0             | 11    |
| 0.0008     | 0.0             | 12    |
| 0.0035     | 0.0             | 13    |
| 0.0007     | 0.0             | 14    |


### Framework versions

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