alexandrualexandru/my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13

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my-final-v1-text-to-sparql-combined-dataset-t5-base-2023-05-09_09-13

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3456
• —Gen Len: 19.0
• —Bertscorer-p: 0.5013
• —Bertscorer-r: 0.1137
• —Bertscorer-f1: 0.3000
• —Sacrebleu-score: 6.1003
• —Sacrebleu-precisions: [77.97754754552538, 64.74142628270293, 53.3199157675034, 47.63691495511611]
• —Bleu-bp: 0.1019

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3