alexandrualexandru/my-text-to-sparql-id-combined-dataset-t5-base-2023-05-07_15-33

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my-text-to-sparql-id-combined-dataset-t5-base-2023-05-07_15-33

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

• —Loss: 0.3333
• —Gen Len: 19.0
• —Bertscorer-p: 0.5060
• —Bertscorer-r: 0.1130
• —Bertscorer-f1: 0.3017
• —Sacrebleu-score: 6.1737
• —Sacrebleu-precisions: [78.41306042322238, 65.32969938575438, 54.170628484068835, 48.69315639562166]
• —Bleu-bp: 0.1018

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: 1

Training results

Framework versions

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