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text-to-sparql-t5-base-qald9 – AI Model by yazdipour | AlphaNeural AI
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yazdipour
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text-to-sparql-t5-base-qald9
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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Model card
Files and Versions
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sparql-qald9-t5-base-2021-10-19_23-02
This model is a fine-tuned version of
yazdipour/text-to-sparql-t5-base-2021-10-19_15-35_lastDS
on the None dataset.
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
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
Bleu-score
Bleu-precisions
Bleu-bp
No log
1.0
51
1.8300
19.0
0.3640
0.0346
0.1943
10.0358
[72.88988261598658, 50.27455765710799, 35.93015446608462, 28.454070201643017]
0.2281
Framework versions
Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3
