---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Kalbert
  results: []
---

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

# Kalbert

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: 1.7472

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9853        | 1.0   | 3953  | 2.1213          |
| 1.933         | 2.0   | 7906  | 1.9938          |
| 1.8421        | 3.0   | 11859 | 1.9033          |
| 1.783         | 4.0   | 15812 | 1.8523          |
| 1.7702        | 5.0   | 19765 | 1.7833          |
| 1.7579        | 6.0   | 23718 | 1.7677          |
| 1.7167        | 7.0   | 27671 | 1.7393          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2