muril_finetuned_ner_hmb_e2

This model is a fine-tuned version of google/muril-base-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0979
• Precision: 0.9250
• Recall: 0.9335
• F1: 0.9292
• Accuracy: 0.9740

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: 8
• eval_batch_size: 8
• 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
0.0611	1.0	14570	0.1004	0.9246	0.9283	0.9264	0.9732
0.062	2.0	29140	0.0979	0.9250	0.9335	0.9292	0.9740

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.0.2
• Tokenizers 0.19.1