t5_long_tglobal_base_samsum

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

• Loss: nan
• Rouge1: 22.7827
• Rouge2: 4.9292
• Rougel: 19.0267
• Rougelsum: 19.9561
• Bleu: 0.0
• Meteor: 0.1307
• Gen Len: 17.4725

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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	Bleu	Meteor	Gen Len
0.1925	0.9997	1841	nan	22.7827	4.9292	19.0267	19.9561	0.0	0.1307	17.4725

Framework versions

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