---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: projjal/de-en-model
  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. -->

# projjal/de-en-model

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3144
- Train Accuracy: 0.3364
- 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': 0.002, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Epoch |
|:----------:|:--------------:|:-----:|
| 1.7760     | 0.2387         | 0     |
| 1.1744     | 0.2738         | 1     |
| 0.9260     | 0.2887         | 2     |
| 0.7539     | 0.2996         | 3     |
| 0.6160     | 0.3094         | 4     |
| 0.5233     | 0.3157         | 5     |
| 0.4458     | 0.3233         | 6     |
| 0.3891     | 0.3300         | 7     |
| 0.3480     | 0.3327         | 8     |
| 0.3144     | 0.3364         | 9     |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.2