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codet5-mbpp-finetuned – AI Model by ptk18 | AlphaNeural AI
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ptk18
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codet5-mbpp-finetuned
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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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codet5-mbpp-finetuned
This model is a fine-tuned version of
Salesforce/codet5-base
on the None 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: 3e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 500
num_epochs: 10
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
