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pretrain_utg4java_220m_seq1024 – AI Model by eljavatar | AlphaNeural AI
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pretrain_utg4java_220m_seq1024
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pytorch
t5
generated_from_trainer
Salesforce/codet5p-220m
finetune
bsd-3-clause
us
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pretrain_utg4java_220m_seq1024
This model is a fine-tuned version of
Salesforce/codet5p-220m
on an unknown 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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 784
num_epochs: 50
mixed_precision_training: Native AMP
Framework versions
Transformers 4.40.0
Pytorch 2.1.0
Datasets 3.0.0
Tokenizers 0.19.1
