dyu-fr-t5-small_v2

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: 3.1106
• Validation Loss: 3.0976
• 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
3.6296	3.4205	0
3.5353	3.3749	1
3.4514	3.3120	2
3.3849	3.2651	3
3.3251	3.2209	4
3.2797	3.1856	5
3.2260	3.1575	6
3.1839	3.1354	7
3.1493	3.1079	8
3.1106	3.0976	9

Framework versions

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