---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: BenjaminKUL/IDP_chat_intent
  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. -->

# BenjaminKUL/IDP_chat_intent

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: 0.1623
- Train Accuracy: 0.9658
- Validation Loss: 4.8680
- Validation Accuracy: 0.0092
- Epoch: 5

## 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', 'learning_rate': 1e-05, '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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 1.6630     | 0.4900         | 2.3887          | 0.0414              | 0     |
| 0.9443     | 0.8153         | 2.9321          | 0.0077              | 1     |
| 0.5060     | 0.9155         | 3.6382          | 0.0046              | 2     |
| 0.2954     | 0.9512         | 4.1146          | 0.0077              | 3     |
| 0.2028     | 0.9643         | 4.5732          | 0.0031              | 4     |
| 0.1623     | 0.9658         | 4.8680          | 0.0092              | 5     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.9.0
- Datasets 2.14.4
- Tokenizers 0.15.1