metadata
base_model: csebuetnlp/banglabert
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-ner-bangla
results: []
bert-finetuned-ner-bangla
This model is a fine-tuned version of csebuetnlp/banglabert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0829
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|
| 0.0928 | 0.45 | 1000 | 0.0995 |
| 0.0887 | 0.91 | 2000 | 0.0863 |
| 0.075 | 1.36 | 3000 | 0.0805 |
| 0.0732 | 1.81 | 4000 | 0.0829 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1