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py314-pylingual-v4-statement – AI Model by syssec-utd | AlphaNeural AI
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syssec-utd
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py314-pylingual-v4-statement
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Salesforce/codet5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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py314-pylingual-v4-statement
This model is a fine-tuned version of
Salesforce/codet5-base
on the syssec-utd/statement-py314-pylingual-v4-tokenized 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: 2e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
distributed_type: multi-GPU
num_devices: 3
total_train_batch_size: 72
total_eval_batch_size: 72
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
