---
license: mit
tags:
- generated_from_trainer
model-index:
- name: mlm-code-mixed-finetuned-final
  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. -->

# mlm-code-mixed-finetuned-final

This model is a fine-tuned version of [sagorsarker/bangla-bert-base](https://huggingface.co/sagorsarker/bangla-bert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2888

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.3581        | 1.0   | 595   | 4.6147          |
| 4.3617        | 2.0   | 1190  | 4.3025          |
| 3.992         | 3.0   | 1785  | 4.1354          |
| 3.6837        | 4.0   | 2380  | 3.8904          |
| 3.4246        | 5.0   | 2975  | 3.7318          |
| 3.2778        | 6.0   | 3570  | 3.7400          |
| 3.1339        | 7.0   | 4165  | 3.6844          |
| 2.9912        | 8.0   | 4760  | 3.6205          |
| 2.8621        | 9.0   | 5355  | 3.5747          |
| 2.7373        | 10.0  | 5950  | 3.5430          |
| 2.648         | 11.0  | 6545  | 3.4527          |
| 2.5479        | 12.0  | 7140  | 3.4770          |
| 2.4683        | 13.0  | 7735  | 3.4124          |
| 2.3578        | 14.0  | 8330  | 3.4087          |
| 2.3106        | 15.0  | 8925  | 3.4033          |
| 2.2233        | 16.0  | 9520  | 3.3202          |
| 2.162         | 17.0  | 10115 | 3.3960          |
| 2.0955        | 18.0  | 10710 | 3.3660          |
| 2.021         | 19.0  | 11305 | 3.2778          |
| 2.0122        | 20.0  | 11900 | 3.3029          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2