metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-NL2ModelioMQ
results: []
t5-small-finetuned-NL2ModelioMQ
This model is a fine-tuned version of t5-small on the ModelioMQ dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge2 Precision: 0.9788
- Rouge2 Recall: 0.6053
- Rouge2 Fmeasure: 0.7294
Model description
Intended uses & limitations
This model will be used to assist Modelio users in writing model queries in the ModelioMQ language.
Training and evaluation data
The ModelioMQ dataset originates from 79 manually-written NL|ModelioMQ pairs, which have been augmentated using NLPAug
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.0104 | 1.0 | 4449 | 0.0006 | 0.9699 | 0.601 | 0.7235 |
| 0.002 | 2.0 | 8898 | 0.0000 | 0.9788 | 0.6053 | 0.7294 |
| 0.001 | 3.0 | 13347 | 0.0000 | 0.9788 | 0.6053 | 0.7294 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Tokenizers 0.13.2