t5-small

This model is a fine-tuned version of Hafis123/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6031
• Rouge1: 25.6637
• Rouge2: 1.7799
• Rougel: 24.9379
• Rougelsum: 24.9695
• Gen Len: 9.311

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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8772	1.0	594	1.6031	25.6637	1.7799	24.9379	24.9695	9.311

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1