---
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: banglat5-headline-trial-for-pro
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# banglat5-headline-trial-for-pro

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: 2.7601
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 9.5136

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.0636        | 1.0   | 202  | 3.0569          | 0.0    | 0.0    | 0.0    | 0.0       | 9.4069  |
| 3.6461        | 2.0   | 404  | 2.8681          | 0.0    | 0.0    | 0.0    | 0.0       | 8.5112  |
| 2.9843        | 3.0   | 606  | 2.7860          | 0.0    | 0.0    | 0.0    | 0.0       | 9.0819  |
| 2.5587        | 4.0   | 808  | 2.7601          | 0.0    | 0.0    | 0.0    | 0.0       | 9.5136  |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1