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statement-pydec-statement – AI Model by karakaka | AlphaNeural AI
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karakaka
/
statement-pydec-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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statement-pydec-statement
This model is a fine-tuned version of
Salesforce/codet5-base
on the karakaka/statement-pydec-dataset-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: 48
eval_batch_size: 48
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 384
total_eval_batch_size: 384
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: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.20.3
