transformers safetensors t5 text2text-generation generated_from_trainer base_model:csebuetnlp/banglat5 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: BConvQA
  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. -->

# BConvQA

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: 1.1670

## 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: 3
- eval_batch_size: 3
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 1.9883        | 0.15  | 10000  | 1.7429          |
| 1.6691        | 0.3   | 20000  | 1.4494          |
| 1.5742        | 0.45  | 30000  | 1.3819          |
| 1.46          | 0.59  | 40000  | 1.3138          |
| 1.4805        | 0.74  | 50000  | 1.2829          |
| 1.4381        | 0.89  | 60000  | 1.2696          |
| 1.3504        | 1.04  | 70000  | 1.2356          |
| 1.3064        | 1.19  | 80000  | 1.2144          |
| 1.2817        | 1.34  | 90000  | 1.2073          |
| 1.2709        | 1.48  | 100000 | 1.2058          |
| 1.2348        | 1.63  | 110000 | 1.1814          |
| 1.1828        | 1.78  | 120000 | 1.1848          |
| 1.324         | 1.93  | 130000 | 1.1670          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
