README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - null
metrics:
  - f1
model-index:
  - name: text-to-sparql-t5-base-2021-10-17_23-40
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        metrics:
          - name: F1
            type: f1
            value: 0.2649857699871063

text-to-sparql-t5-base-2021-10-17_23-40

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

• Loss: 0.2645
• Gen Len: 19.0
• P: 0.5125
• R: 0.0382
• F1: 0.2650
• Score: 5.1404
• Bleu-precisions: [88.49268497650789, 75.01025204252232, 66.60779038484033, 63.18383699935422]
• Bleu-bp: 0.0707

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len	P	R	F1	Score	Bleu-precisions	Bleu-bp
0.3513	1.0	4807	0.2645	19.0	0.5125	0.0382	0.2650	5.1404	[88.49268497650789, 75.01025204252232, 66.60779038484033, 63.18383699935422]	0.0707

Framework versions

• Transformers 4.10.0
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3