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flan-t5-base-finetuned-length_control_token
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0276
- Sacrebleu: 16.2445
Model description
This model was trained on a dataset called PWKP-GPT3-LENGTH-CONTROL-40BUCKETS. The dataset contains 30k instances taken from PWKP, then processed through GPT3 to obtain simplifications. The 30k instances come from: 10k which were supposed to generate very long simplifications, 10k which were supposed to generate very short simplifications, and 10k without specifying the simplicity level. The model does not sucessfuly work on these buckets. There exists another dataset, the PWKP-GPT3-LENGTH-CONTROL-4BUCKETS, but it was never trained on something. Those buckets are also rather unbalanced.
The idea comes from Controllable Sentence Simplification Louis Martin, https://arxiv.org/pdf/1910.02677.pdf
It was fine-tuned on the FLAN-T5-base model.
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: 5.6e-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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 1.3257 | 1.0 | 1782 | 1.0906 | 15.4208 |
| 1.1718 | 2.0 | 3564 | 1.0648 | 15.5358 |
| 1.0972 | 3.0 | 5346 | 1.0484 | 15.8113 |
| 1.0472 | 4.0 | 7128 | 1.0394 | 16.0159 |
| 1.0092 | 5.0 | 8910 | 1.0305 | 16.1341 |
| 0.9858 | 6.0 | 10692 | 1.0276 | 16.2445 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
