metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: RobCaamano/T5_En_to_Es_Take2
results: []
RobCaamano/T5_En_to_Es_Take2
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.8284
- Validation Loss: 0.7058
- Train Bleu: 12.1991
- Train Gen Len: 56.1406
- Epoch: 1
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 |
|---|---|---|---|---|
| 1.0171 | 0.7827 | 9.3294 | 57.7548 | 0 |
| 0.8284 | 0.7058 | 12.1991 | 56.1406 | 1 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.10.1
- Datasets 2.15.0
- Tokenizers 0.15.0