jbochi/coedit-base

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coedit-base

This model is a fine-tuned version of google/flan-t5-base on the CoEdIT dataset.

It achieves the following results on the evaluation set:

• —Loss: 0.5978
• —Rouge1: 60.5931
• —Rouge2: 48.0165
• —Rougel: 57.8997
• —Rougelsum: 57.9335
• —Gen Len: 16.6729

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: 1e-05
• —trainbatchsize: 10
• —evalbatchsize: 10
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.0+cu118
• —Datasets 2.14.7
• —Tokenizers 0.15.0