---
license: mit
base_model: sagorsarker/mbert-bengali-tydiqa-qa
tags:
- generated_from_keras_callback
model-index:
- name: mahsharyahan/sagorsarker-validation-f1-factiod-qa
  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. -->

# mahsharyahan/sagorsarker-validation-f1-factiod-qa

This model is a fine-tuned version of [sagorsarker/mbert-bengali-tydiqa-qa](https://huggingface.co/sagorsarker/mbert-bengali-tydiqa-qa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.6331
- Epoch: 0

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 80, 'end_learning_rate': 1e-05, 'power': 2, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 1.6331     | 0     |


### Framework versions

- Transformers 4.37.0
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.1