thrunlab/t5-base_mrpc_dense_sp0_ar0

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t5-basemrpcdensesp0ar0

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

• —Loss: 1.0325
• —Accuracy: 0.0

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: 1
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 20
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.33.2
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.11.6