metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro
results: []
adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ROMANCE on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7147
- Validation Loss: 1.2474
- Train Bleu: 26.0422
- Train Gen Len: 51.6875
- Epoch: 0
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': 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 | Train Bleu | Train Gen Len | Epoch |
|---|---|---|---|---|
| 0.7147 | 1.2474 | 26.0422 | 51.6875 | 0 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1