name-parser-model

This model is a fine-tuned version of yale-cultural-heritage/name-parser-model on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0332
• Accuracy: 0.9921

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: 16
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use adafactor and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.041	3.1952	1000	0.0352	0.9912
0.0369	6.3904	2000	0.0345	0.9915
0.0358	9.5856	3000	0.0336	0.9917
0.0349	12.7808	4000	0.0333	0.9919
0.0337	15.9760	5000	0.0331	0.9920
0.0332	19.1696	6000	0.0334	0.9919
0.0328	22.3648	7000	0.0332	0.9921
0.0323	25.56	8000	0.0333	0.9921
0.0318	28.7552	9000	0.0333	0.9921
0.032	31.9504	10000	0.0332	0.9921

Framework versions

• Transformers 4.52.3
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1