metadata
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
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