py38-pylingual-v1.1.1-segmenter

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

py38-pylingual-v1.1.1-segmenter

This model is a fine-tuned version of syssec-utd/py38-pylingual-v1.1.1-mlm on the syssec-utd/segmentation-py38-pylingual-v1.1-tokenized dataset. It achieves the following results on the evaluation set:

• Loss: 0.0811
• Precision: 0.9316
• Recall: 0.8862
• F1: 0.9083
• Accuracy: 0.9617

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 4.54.1
• Pytorch 2.8.0+cu128
• Datasets 3.3.2
• Tokenizers 0.21.4