syssec-utd/py313-pylingual-v1.3-segmenter

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py313-pylingual-v1.3-segmenter

This model is a fine-tuned version of syssec-utd/py313-pylingual-v1.3-mlm on the syssec-utd/segmentation-py313-pylingual-v2-tokenized dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0007
• —Precision: 0.9985
• —Recall: 0.9980
• —F1: 0.9982
• —Accuracy: 0.9996

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
• —trainbatchsize: 48
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 3
• —totaltrainbatch_size: 144
• —totalevalbatch_size: 24
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.55.4
• —Pytorch 2.8.0+cu128
• —Datasets 3.3.2
• —Tokenizers 0.21.4