ner_bert_urdu

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0104

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: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.0035	1.0	1314	0.0083
0.0032	2.0	2628	0.0084
0.0031	3.0	3942	0.0063
0.0036	4.0	5256	0.0070
0.0034	5.0	6570	0.0077
0.0033	6.0	7884	0.0086
0.0029	7.0	9198	0.0085
0.0028	8.0	10512	0.0101
0.0027	9.0	11826	0.0098
0.0024	10.0	13140	0.0104

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3