my_awesome_ner-token_classification_v1.0.7-4

This model is a fine-tuned version of lilyyellow/my_awesome_ner-token_classification_v1.0.7-4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5084
• Precision: 0.6376
• Recall: 0.6915
• F1: 0.6634
• Accuracy: 0.8858

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1297	1.9965	1156	0.4660	0.6384	0.6812	0.6591	0.8855
0.0986	3.9931	2312	0.5084	0.6376	0.6915	0.6634	0.8858

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1