---
license: mit
base_model: ai4bharat/indic-bert
tags:
- generated_from_trainer
model-index:
- name: indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm

This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8557

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4392        | 1.0   | 1370 | 2.2539          |
| 2.0111        | 2.0   | 2740 | 1.8550          |
| 1.6822        | 3.0   | 4110 | 1.8097          |
| 1.5421        | 4.0   | 5480 | 1.8179          |
| 1.4898        | 5.0   | 6850 | 1.8557          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1