---
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5
  results: []
---

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# wsdbanglat5

This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0117

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0424        | 1.0   | 1481 | 0.0330          |
| 0.0282        | 2.0   | 2962 | 0.0213          |
| 0.0248        | 3.0   | 4443 | 0.0169          |
| 0.0167        | 4.0   | 5924 | 0.0130          |
| 0.017         | 5.0   | 7405 | 0.0117          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1