---
base_model: alayaran/bodo-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bodo-t5-base-news-headline-ft
  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. -->

# bodo-t5-base-news-headline-ft

This model is a fine-tuned version of [alayaran/bodo-t5-base](https://huggingface.co/alayaran/bodo-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2069
- Rouge1: 0.004
- Rouge2: 0.0
- Rougel: 0.004
- Rougelsum: 0.004
- Gen Len: 18.86

## 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: 12
- eval_batch_size: 12
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7919        | 2.33  | 500  | 3.2179          | 0.004  | 0.0    | 0.004  | 0.004     | 18.86   |
| 2.7924        | 4.65  | 1000 | 3.2069          | 0.004  | 0.0    | 0.004  | 0.004     | 18.86   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3