t5-small_finetuned2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2643
• Rouge1: 0.0724
• Rouge2: 0.0643
• Rougel: 0.0724
• Rougelsum: 0.0724
• Gen Len: 19.0

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:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• 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
0.304	1.0	18565	0.2865	0.0706	0.062	0.0706	0.0706	19.0
0.291	2.0	37130	0.2726	0.0719	0.0636	0.0719	0.0719	19.0
0.2827	3.0	55695	0.2662	0.0723	0.0641	0.0722	0.0722	19.0
0.2796	4.0	74260	0.2643	0.0724	0.0643	0.0724	0.0724	19.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0