my_t5_model

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

• Loss: 0.4436
• Rouge1: 0.6818
• Rouge2: 0.5255
• Rougel: 0.6496
• Rougelsum: 0.6495
• Gen Len: 15.0861

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:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.4551	1.0	2185	0.4677	0.6934	0.5395	0.6603	0.6603	15.1588
0.4895	2.0	4370	0.4355	0.6966	0.5463	0.6658	0.6657	15.1563
0.4915	3.0	6555	0.4436	0.6818	0.5254	0.6496	0.6496	15.0864
0.4911	4.0	8740	0.4436	0.6818	0.5255	0.6496	0.6495	15.0861

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1