evangeloc/t5-small-finetuned-xsum_3epoch_batch8

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: 2.5178
• Validation Loss: 2.3002
• Train Rouge1: 31.6237
• Train Rouge2: 10.4288
• Train Rougel: 25.3564
• Train Rougelsum: 25.3203
• Train Gen Len: 18.86
• Epoch: 2

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
2.7208	2.4024	30.3441	9.9367	24.4023	24.4171	18.83	0
2.5818	2.3390	30.5249	9.9161	24.1981	24.2080	18.825	1
2.5178	2.3002	31.6237	10.4288	25.3564	25.3203	18.86	2

Framework versions

• Transformers 4.19.4
• TensorFlow 2.8.2
• Datasets 2.2.2
• Tokenizers 0.12.1