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# nol2pro

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the yahoo_answers_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Bleu: 99.8064

## 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: 16
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["nol2pro", "generated_from_trainer"], "datasets": ["yahoo_answers_qa"], "metrics": ["bleu"], "model-index": [{"name": "nol2pro", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "yahoo_answers_qa", "type": "yahoo_answers_qa", "config": "yahoo_answers_qa", "split": "train", "args": "yahoo_answers_qa"}, "metrics": [{"type": "bleu", "value": 99.80643594810797, "name": "Bleu"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation nol2pro generated_from_trainer dataset:yahoo_answers_qa license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #nol2pro #generated_from_trainer #dataset-yahoo_answers_qa #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# nol2pro

This model is a fine-tuned version of t5-small on the yahoo_answers_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Bleu: 99.8064

## 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: 16
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

# nol2pro

This model is a fine-tuned version of t5-small on the yahoo_answers_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Bleu: 99.8064 ## 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: 16
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #nol2pro #generated_from_trainer #dataset-yahoo_answers_qa #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # nol2pro

This model is a fine-tuned version of t5-small on the yahoo_answers_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Bleu: 99.8064 ## 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: 16
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #nol2pro #generated_from_trainer #dataset-yahoo_answers_qa #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# nol2pro

This model is a fine-tuned version of t5-small on the yahoo_answers_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Bleu: 99.8064## 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: 16
- eval_batch_size: 32
- 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 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2