---
base_model: mrm8488/t5-base-finetuned-common_gen
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: T5-based-Masked-keywords-to-Sentence-Epoch-10
  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. -->

# T5-based-Masked-keywords-to-Sentence-Epoch-10

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: 2.3073
- Bleu: 6.3322
- Gen Len: 13.3221

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.255         | 1.0   | 527  | 2.2946          | 6.3492 | 13.0607 |
| 2.2177        | 2.0   | 1054 | 2.2913          | 6.3936 | 13.0821 |
| 2.2031        | 3.0   | 1581 | 2.2970          | 6.3451 | 13.1381 |
| 2.1827        | 4.0   | 2108 | 2.2992          | 6.4297 | 13.1899 |
| 2.1762        | 5.0   | 2635 | 2.3026          | 6.3671 | 13.3084 |
| 2.1623        | 6.0   | 3162 | 2.3047          | 6.3458 | 13.343  |
| 2.1572        | 7.0   | 3689 | 2.3061          | 6.3492 | 13.3079 |
| 2.1461        | 8.0   | 4216 | 2.3054          | 6.3986 | 13.3081 |
| 2.1466        | 9.0   | 4743 | 2.3075          | 6.3311 | 13.2982 |
| 2.1402        | 10.0  | 5270 | 2.3073          | 6.3322 | 13.3221 |


### Framework versions

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