long-t5-tglobal-base-finetuned-govReport-4096

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long-t5-tglobal-base-finetuned-govReport-4096

This model is a fine-tuned version of google/long-t5-tglobal-base on the gov_report_summarization_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 1.4052
• Rouge1: 0.0432
• Rouge2: 0.0217
• Rougel: 0.0378
• Rougelsum: 0.0408

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1