segmentation-pydec-segmenter

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segmentation-pydec-segmenter

This model is a fine-tuned version of karakaka/segmentation-pydec-mlm on the karakaka/segmentation-pydec-dataset-tokenized dataset. It achieves the following results on the evaluation set:

• Loss: 0.1744
• Precision: 0.6746
• Recall: 0.7724
• F1: 0.7202
• Accuracy: 0.9168

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: 8
• total_train_batch_size: 384
• total_eval_batch_size: 64
• optimizer: Use OptimizerNames.ADAMW_TORCH 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 4.46.1
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.20.3