---
base_model: csebuetnlp/banglat5_small
tags:
- generated_from_trainer
model-index:
- name: banglat5_small-bcoqa
  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. -->

# banglat5_small-bcoqa

This model is a fine-tuned version of [csebuetnlp/banglat5_small](https://huggingface.co/csebuetnlp/banglat5_small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7000

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2106        | 0.3   | 3500  | 1.9410          |
| 2.0379        | 0.61  | 7000  | 1.8165          |
| 1.9777        | 0.91  | 10500 | 1.7523          |
| 1.8829        | 1.21  | 14000 | 1.7204          |
| 1.9278        | 1.51  | 17500 | 1.7048          |
| 1.8719        | 1.82  | 21000 | 1.7000          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1