dyu-fr-t5-small_v4

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

• Train Loss: 6.5609
• Validation Loss: 6.2683
• Epoch: 9

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
8.3183	7.3525	0
7.4925	7.0511	1
7.2612	6.8737	2
7.1192	6.7569	3
7.0057	6.6650	4
6.8915	6.5475	5
6.7815	6.4328	6
6.6868	6.3601	7
6.6167	6.3188	8
6.5609	6.2683	9

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.18.0
• Tokenizers 0.15.2