salahyahya/text_correct

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weights

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

• —Loss: 0.6183
• —Rouge1: 71.4127
• —Rouge2: 61.0414
• —Rougel: 70.6761
• —Rougelsum: 70.696
• —Gen Len: 17.3005

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 6
• —totaltrainbatch_size: 96
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.2
• —Tokenizers 0.19.1