metadata
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_keras_callback
model-index:
- name: mbart-finetuned-english
results: []
mbart-finetuned-english
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.8952
- Validation Loss: 2.5508
- Epoch: 2
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 | Epoch |
|---|---|---|
| 3.1200 | 2.6330 | 0 |
| 2.3248 | 2.5241 | 1 |
| 1.8952 | 2.5508 | 2 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0