t5-base-task2

This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.4722
• Rouge L: 29.3763
• Bleu-4: 10.6675
• Bertscore F1: 87.2021

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge L	Bleu-4	Bertscore F1
No log	1.0	246	2.6005	27.3895	9.3023	86.8290
No log	2.0	492	2.5068	28.0500	9.8400	87.0370
2.6687	3.0	738	2.4763	28.8285	10.1972	87.0570
2.6687	4.0	984	2.4722	29.3763	10.6675	87.2021

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0