banglabert-bert-finetuned-ner

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

• Loss: 1.9526
• Precision: 0.0143
• Recall: 0.0769
• F1: 0.0241
• Accuracy: 0.0143

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	1	2.0085	0.0143	0.0769	0.0241	0.0143
No log	2.0	2	1.9711	0.0143	0.0769	0.0241	0.0143
No log	3.0	3	1.9526	0.0143	0.0769	0.0241	0.0143

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1