metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-paraphrasing-mlm-med-mask-filling-cm0
results: []
t5-small-paraphrasing-mlm-med-mask-filling-cm0
This model is a fine-tuned version of gayanin/t5-small-paraphrase-pubmed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6697
- Rouge2 Precision: 0.6929
- Rouge2 Recall: 0.4742
- Rouge2 Fmeasure: 0.5443
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.9213 | 1.0 | 13915 | 0.8075 | 0.6708 | 0.4603 | 0.5281 |
| 0.8573 | 2.0 | 27830 | 0.7534 | 0.6802 | 0.4671 | 0.5356 |
| 0.8127 | 3.0 | 41745 | 0.7254 | 0.684 | 0.468 | 0.5373 |
| 0.7809 | 4.0 | 55660 | 0.7071 | 0.6867 | 0.4702 | 0.5397 |
| 0.7651 | 5.0 | 69575 | 0.6939 | 0.6886 | 0.4711 | 0.5409 |
| 0.7598 | 6.0 | 83490 | 0.6849 | 0.6904 | 0.4721 | 0.5422 |
| 0.7429 | 7.0 | 97405 | 0.6778 | 0.6917 | 0.4725 | 0.5427 |
| 0.7438 | 8.0 | 111320 | 0.6731 | 0.6917 | 0.4723 | 0.5426 |
| 0.743 | 9.0 | 125235 | 0.6707 | 0.6935 | 0.4748 | 0.545 |
| 0.7349 | 10.0 | 139150 | 0.6697 | 0.6929 | 0.4742 | 0.5443 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1