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text-to-sparql-t5-small-2021-10-17_18-47 – AI Model by yazdipour | AlphaNeural AI
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text-to-sparql-t5-small-2021-10-17_18-47
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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-small-2021-10-17_18-47
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5258
Gen Len: 19.0
P: 0.4582
R: 0.0278
F1: 0.2346
Score: 3.5848
Bleu-precisions: [82.57739877107295, 62.13358857503344, 48.43062944877681, 41.90172321318059]
Bleu-bp: 0.0631
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
0.7575
1.0
4807
0.5258
19.0
0.4582
0.0278
0.2346
3.5848
[82.57739877107295, 62.13358857503344, 48.43062944877681, 41.90172321318059]
0.0631
Framework versions
Transformers 4.10.0
Pytorch 1.9.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3
