metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: MelioAI/machine-translation
results: []
MelioAI/machine-translation
This model is a fine-tuned version of t5-small on the Opus Books dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.0883
- Validation Loss: 1.8536
- Epoch: 0
Model description
This is a machine translation model utilized for translating from English to French, based on the tutorial: Hugging Face Translation Example.
Intended uses & limitations
This model is made for the purposes of showing how to use Highwind only.
Training and evaluation data
- Train Loss: 2.0883
- Validation Loss: 1.8536
- Epoch: 0
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, '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 | Validation Loss | Epoch |
|---|---|---|
| 2.0883 | 1.8536 | 0 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.16.1
- Datasets 2.19.1
- Tokenizers 0.19.1