t5-small-finetuned-govReport-3072

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t5-small-finetuned-govReport-3072

This model is a fine-tuned version of google-t5/t5-small on the govreport-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 3.8367
• Rouge1: 0.0371
• Rouge2: 0.0142
• Rougel: 0.0316
• Rougelsum: 0.0352

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: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1