t5-small-finetuned-2024-03-17

This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-03-16 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6870
• Rouge1: 36.9896
• Rouge2: 24.6597
• Rougel: 32.6752
• Rougelsum: 32.6582
• Gen Len: 18.8143

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
1.9296	1.0	276	1.6870	36.9896	24.6597	32.6752	32.6582	18.8143

Framework versions

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