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bart-base-text-to-sql-full – AI Model by rkgupta3 | AlphaNeural AI
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rkgupta3
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bart-base-text-to-sql-full
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base-text-to-sql-full
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0717
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1171
1.0
625
0.0904
0.0866
2.0
1250
0.0759
0.072
3.0
1875
0.0717
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
