alexrink/t5-small-finetuned-xsum

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: 5.6399
• Validation Loss: 6.0028
• Epoch: 19

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': 0.2, '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
11.4991	6.9902	0
6.5958	6.2502	1
6.1443	6.1638	2
5.9379	6.0765	3
5.7739	5.9393	4
5.7033	6.0061	5
5.7070	5.9305	6
5.7000	5.9698	7
5.6888	5.9223	8
5.6657	5.9773	9
5.6827	5.9734	10
5.6380	5.9428	11
5.6532	5.9799	12
5.6617	5.9974	13
5.6402	5.9563	14
5.6710	5.9926	15
5.6999	5.9764	16
5.6573	5.9557	17
5.6297	5.9678	18
5.6399	6.0028	19

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.9.0
• Tokenizers 0.13.2