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t5-small-finetuned-wikisql – AI Model by Job6742 | AlphaNeural AI
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Job6742
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t5-small-finetuned-wikisql
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
wikisql
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-wikisql
This model is a fine-tuned version of
t5-small
on the wikisql dataset. It achieves the following results on the evaluation set:
Loss: 0.2547
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.2875
1.0
3523
0.2645
0.286
2.0
7046
0.2594
0.2714
3.0
10569
0.2567
0.2667
4.0
14092
0.2550
0.268
5.0
17615
0.2547
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3
