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

• Loss: 1.5633
• Rougel: 38.3354
• Rouge1: 44.3420

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rougel	Rouge1
1.6364	1.0	2482	1.5543	37.6025	43.5207
1.4764	2.0	4964	1.5466	38.2764	44.0569
1.3991	3.0	7446	1.5556	38.2109	43.9420
1.3365	4.0	9928	1.5633	38.3354	44.3420

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0