---
base_model: ka05ar/Banglat5_Ex4
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_1e4_E4
  results: []
---

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# wsdbanglat5_1e4_E4

This model is a fine-tuned version of [ka05ar/Banglat5_Ex4](https://huggingface.co/ka05ar/Banglat5_Ex4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0046

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0633        | 1.0   | 1481  | 0.0339          |
| 0.0259        | 2.0   | 2962  | 0.0109          |
| 0.0192        | 3.0   | 4443  | 0.0084          |
| 0.0108        | 4.0   | 5924  | 0.0061          |
| 0.0061        | 5.0   | 7405  | 0.0048          |
| 0.0046        | 6.0   | 8886  | 0.0045          |
| 0.0042        | 7.0   | 10367 | 0.0047          |
| 0.0049        | 8.0   | 11848 | 0.0043          |
| 0.0022        | 9.0   | 13329 | 0.0044          |
| 0.0014        | 10.0  | 14810 | 0.0046          |


### Framework versions

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