AliiaR/t5-small-finetuned-model

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

• Train Loss: 1.4127
• Validation Loss: 1.1016
• Train Rouge1: 14.9189
• Train Rouge2: 3.7554
• Train Rougel: 13.6461
• Train Rougelsum: 13.6801
• Train Gen Len: 13.4191
• Epoch: 0

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 Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
1.4127	1.1016	14.9189	3.7554	13.6461	13.6801	13.4191	0

Framework versions

• Transformers 4.28.1
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3