transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:csebuetnlp/banglat5_nmt_bn_en base_model:finetune:csebuetnlp/banglat5_nmt_bn_en autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: csebuetnlp/banglat5_nmt_bn_en
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: bangla_idiom_translation_v1
  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. -->

# bangla_idiom_translation_v1

This model is a fine-tuned version of [csebuetnlp/banglat5_nmt_bn_en](https://huggingface.co/csebuetnlp/banglat5_nmt_bn_en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3032
- Rouge1: 85.3143
- Rouge2: 73.3973
- Rougel: 82.4163
- Rougelsum: 82.4211
- Gen Len: 21.2116

## 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: 2e-05
- 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
- lr_scheduler_warmup_steps: 5000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.5372        | 1.0   | 3066  | 0.3419          | 85.3363 | 73.5641 | 82.4285 | 82.4387   | 21.2325 |
| 0.4708        | 2.0   | 6132  | 0.3181          | 85.2649 | 73.4772 | 82.47   | 82.484    | 21.1232 |
| 0.437         | 3.0   | 9198  | 0.3076          | 85.3474 | 73.5827 | 82.5201 | 82.5292   | 21.1559 |
| 0.416         | 4.0   | 12264 | 0.3040          | 85.372  | 73.4868 | 82.4993 | 82.4963   | 21.1842 |
| 0.4079        | 5.0   | 15330 | 0.3032          | 85.3143 | 73.3973 | 82.4163 | 82.4211   | 21.2116 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
