transformers tf bert text-classification generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: krm/my_exercice_mrpc
  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. -->

# krm/my_exercice_mrpc

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6942
- Train Accuracy: 0.6200
- Validation Loss: 0.6486
- Validation Accuracy: 0.6838
- Epoch: 2

## Model description

Ce modèle n'est pas à utiliser. Il s'agit d'un petit essai.

## 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', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.6860     | 0.6314         | 0.7727          | 0.6838              | 0     |
| 0.6862     | 0.6347         | 0.6326          | 0.6838              | 1     |
| 0.6942     | 0.6200         | 0.6486          | 0.6838              | 2     |


### Framework versions

- Transformers 4.22.2
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1
