madhav-devrev/finetune-sagemaker-demo

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finetune-sagemaker-demo

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

• —Loss: 1.7839
• —Rouge1: 37.9541
• —Rouge2: 13.3509
• —Rougel: 30.3028
• —Rougelsum: 35.1596
• —Gen Len: 17.06

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
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.26.0
• —Pytorch 1.13.1+cu117
• —Datasets 2.9.0
• —Tokenizers 0.13.2