py314-pylingual-v2-segmenter

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py314-pylingual-v2-segmenter

This model is a fine-tuned version of syssec-utd/py314-pylingual-v2-mlm on the syssec-utd/segmentation-py314-pylingual-v2-tokenized dataset. It achieves the following results on the evaluation set:

• Loss: 0.0022
• Precision: 0.9953
• Recall: 0.9960
• F1: 0.9956
• Accuracy: 0.9987

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
• train_batch_size: 48
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 3
• total_train_batch_size: 144
• total_eval_batch_size: 24
• 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
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.1+cu128
• Datasets 4.4.1
• Tokenizers 0.22.1