---
license: mit
base_model: sagorsarker/mbert-bengali-ner
tags:
- generated_from_keras_callback
model-index:
- name: imtiaz114/mbert-ner-baseline-1
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# imtiaz114/mbert-ner-baseline-1

This model is a fine-tuned version of [sagorsarker/mbert-bengali-ner](https://huggingface.co/sagorsarker/mbert-bengali-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0834
- Validation Loss: 0.1248
- Epoch: 3

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 9552, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.2646     | 0.1872          | 0     |
| 0.1604     | 0.1713          | 1     |
| 0.1127     | 0.1295          | 2     |
| 0.0834     | 0.1248          | 3     |


### Framework versions

- Transformers 4.31.0.dev0
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3