t5-small-finetuned-2024-03-12

This model is a fine-tuned version of ericjiliangli/t5-small-news-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7445
• Rouge1: 30.158
• Rouge2: 15.0234
• Rougel: 25.9885
• Rougelsum: 26.1101
• Gen Len: 18.759

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 1
• 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
1.9214	1.0	328	1.7445	30.158	15.0234	25.9885	26.1101	18.759

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2