---
library_name: transformers
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0912

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 25

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 39.4442       | 1.0540  | 100  | 0.5396          |
| 0.6861        | 2.1080  | 200  | 0.3455          |
| 0.4661        | 3.1621  | 300  | 0.3372          |
| 0.4512        | 4.2161  | 400  | 0.3265          |
| 0.4309        | 5.2701  | 500  | 0.3141          |
| 0.4114        | 6.3241  | 600  | 0.2886          |
| 0.3679        | 7.3781  | 700  | 0.1776          |
| 0.208         | 8.4321  | 800  | 0.1162          |
| 0.4885        | 9.4862  | 900  | 0.1208          |
| 0.137         | 10.5402 | 1000 | 0.1012          |
| 0.1013        | 11.5942 | 1100 | 0.0948          |
| 0.0838        | 12.6482 | 1200 | 0.0894          |
| 0.0704        | 13.7022 | 1300 | 0.0878          |
| 0.0618        | 14.7563 | 1400 | 0.0902          |
| 0.0546        | 15.8103 | 1500 | 0.0880          |
| 0.049         | 16.8643 | 1600 | 0.0901          |
| 0.0443        | 17.9183 | 1700 | 0.0900          |
| 0.0417        | 18.9723 | 1800 | 0.0905          |
| 0.0396        | 20.0264 | 1900 | 0.0909          |
| 0.0373        | 21.0804 | 2000 | 0.0909          |
| 0.0369        | 22.1344 | 2100 | 0.0913          |
| 0.0358        | 23.1884 | 2200 | 0.0911          |
| 0.0356        | 24.2424 | 2300 | 0.0912          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1