---
base_model: mrm8488/t5-base-finetuned-common_gen
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: T5based-keywords-to-sentence
  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. -->

# T5based-keywords-to-sentence

This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9899
- Bleu: 10.4024
- Gen Len: 13.6946

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.8272        | 1.0   | 2106 | 1.9899          | 10.4024 | 13.6946 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1