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text-to-sparql-t5-base-2021-10-17_23-40 – AI Model by yazdipour | AlphaNeural AI
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yazdipour
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text-to-sparql-t5-base-2021-10-17_23-40
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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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
