t5-summarization-base-zero-shot-headers-and-better-prompt

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t5-summarization-base-zero-shot-headers-and-better-prompt

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

• Loss: 2.9932
• Rouge: {'rouge1': 0.4431, 'rouge2': 0.2212, 'rougeL': 0.2154, 'rougeLsum': 0.2154}
• Bert Score: 0.884
• Bleurt 20: -0.6941
• Gen Len: 14.385

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0