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py313-pylingual-v3-mlm – AI Model by syssec-utd | AlphaNeural AI
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py313-pylingual-v3-mlm
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roberta
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py313-pylingual-v3-mlm
This model is a fine-tuned version of
on the syssec-utd/segmentation-py313-pylingual-v3 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: 5e-05
train_batch_size: 28
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
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
Training results
Framework versions
Transformers 5.12.1
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
