---
base_model: ka05ar/Banglat5_Dx1
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_F2e4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wsdbanglat5_F2e4

This model is a fine-tuned version of [ka05ar/Banglat5_Dx1](https://huggingface.co/ka05ar/Banglat5_Dx1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0006

## 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: 0.0002
- 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: 9

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0439        | 1.0   | 1481  | 0.0486          |
| 0.0166        | 2.0   | 2962  | 0.3209          |
| 0.0088        | 3.0   | 4443  | 0.0056          |
| 0.0048        | 4.0   | 5924  | 0.0020          |
| 0.0023        | 5.0   | 7405  | 0.0011          |
| 0.0017        | 6.0   | 8886  | 0.0007          |
| 0.0011        | 7.0   | 10367 | 0.0007          |
| 0.0022        | 8.0   | 11848 | 0.0007          |
| 0.0007        | 9.0   | 13329 | 0.0006          |


### Framework versions

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