jemmyJohnes/t5-base-finetuned-en-to-ro

This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4646
• Validation Loss: 1.3576
• Train Bleu: 27.4347
• Train Gen Len: 42.2766
• Epoch: 5

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
0.6844	1.3261	26.5988	42.1146	0
0.5396	1.3241	26.8846	42.0145	1
0.5118	1.3326	27.2074	42.2061	2
0.4936	1.3441	27.4083	42.1591	3
0.4777	1.3560	27.4022	42.3367	4
0.4646	1.3576	27.4347	42.2766	5

Framework versions

• Transformers 4.41.2
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1