my_ner_model

This model is a fine-tuned version of mundo-go/my_ner_model on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• Precision: 1.0000
• Recall: 1.0000
• F1: 1.0000
• Accuracy: 1.0000

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0015	1.0	1640	0.0001	0.9999	0.9999	0.9999	1.0000
0.0002	2.0	3280	0.0000	1.0000	1.0000	1.0000	1.0000

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0