---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Repoo/relation_between_two_sentences
  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. -->

# Repoo/relation_between_two_sentences

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1074
- Validation Loss: 1.0986
- Train Accuracy: 0.3419
- 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.1794     | 1.1038          | 0.3187         | 0     |
| 1.1724     | 1.0996          | 0.3402         | 1     |
| 1.1570     | 1.1092          | 0.3427         | 2     |
| 1.1470     | 1.0993          | 0.3411         | 3     |
| 1.1145     | 1.1131          | 0.3419         | 4     |
| 1.1042     | 1.1027          | 0.3171         | 5     |
| 1.1060     | 1.0988          | 0.3402         | 6     |
| 1.1073     | 1.1132          | 0.3411         | 7     |
| 1.1074     | 1.0997          | 0.3411         | 8     |
| 1.1074     | 1.0986          | 0.3419         | 9     |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3