t5-small-finetuned-text-simplification
This model is a fine-tuned version of t5-small on the wiki_auto dataset. It achieves the following results on the evaluation set:
- Loss: 4.9119
- Sari: 57.2334
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: 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sari |
|---|---|---|---|---|
| 1.6567 | 1.0 | 23363 | 4.5102 | 58.1853 |
| 3.7655 | 2.0 | 46726 | 4.9119 | 57.2334 |
| 3.7498 | 3.0 | 70089 | 4.9119 | 57.2334 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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