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py313-pylingual-v3-mlm

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Trained on syssec-utd/segmentation-py313-pylingual-v3 using syssec-utd/py313-pylingual-v3-tokenizer
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metadata 
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: py313-pylingual-v3-mlm
    results: []

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