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
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Dataset used to train liyin/nol2pro
Evaluation results
- Bleu on yahoo_answers_qaself-reported99.806
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("liyin/nol2pro") model = AutoModelForSeq2SeqLM.from_pretrained("liyin/nol2pro")