---
license: apache-2.0
tags:
- nol2pro
- generated_from_trainer
datasets:
- yahoo_answers_qa
metrics:
- bleu
model-index:
- name: nol2pro
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: yahoo_answers_qa
      type: yahoo_answers_qa
      config: yahoo_answers_qa
      split: train
      args: yahoo_answers_qa
    metrics:
    - name: Bleu
      type: bleu
      value: 99.80643594810797
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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