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# pt-unicamp-handcrafted

This model is a fine-tuned version of [VanessaSchenkel/pt-unicamp-news-t5](https://huggingface.co/VanessaSchenkel/pt-unicamp-news-t5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
- Bleu: 75.3691

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "pt-unicamp-handcrafted", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation translation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# pt-unicamp-handcrafted

This model is a fine-tuned version of VanessaSchenkel/pt-unicamp-news-t5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
- Bleu: 75.3691

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

# pt-unicamp-handcrafted

This model is a fine-tuned version of VanessaSchenkel/pt-unicamp-news-t5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
- Bleu: 75.3691 ## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # pt-unicamp-handcrafted

This model is a fine-tuned version of VanessaSchenkel/pt-unicamp-news-t5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
- Bleu: 75.3691 ## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# pt-unicamp-handcrafted

This model is a fine-tuned version of VanessaSchenkel/pt-unicamp-news-t5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061
- Bleu: 75.3691## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP### Training results### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1