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--- |
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license: apache-2.0 |
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tags: |
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- simplification |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: flan-t5-base-finetuned-length_control_token |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# flan-t5-base-finetuned-length_control_token |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0276 |
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- Sacrebleu: 16.2445 |
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## Model description |
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This model was trained on a dataset called PWKP-GPT3-LENGTH-CONTROL-40BUCKETS. |
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The dataset contains 30k instances taken from PWKP, then processed through GPT3 to obtain simplifications. |
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The 30k instances come from: 10k which were supposed to generate very long simplifications, |
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10k which were supposed to generate very short simplifications, and 10k without specifying the simplicity level. |
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The model does not sucessfuly work on these buckets. |
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There exists another dataset, the PWKP-GPT3-LENGTH-CONTROL-4BUCKETS, but it was never trained on something. |
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Those buckets are also rather unbalanced. |
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The idea comes from |
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Controllable Sentence Simplification |
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Louis Martin, https://arxiv.org/pdf/1910.02677.pdf |
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It was fine-tuned on the FLAN-T5-base model. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5.6e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:| |
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| 1.3257 | 1.0 | 1782 | 1.0906 | 15.4208 | |
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| 1.1718 | 2.0 | 3564 | 1.0648 | 15.5358 | |
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| 1.0972 | 3.0 | 5346 | 1.0484 | 15.8113 | |
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| 1.0472 | 4.0 | 7128 | 1.0394 | 16.0159 | |
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| 1.0092 | 5.0 | 8910 | 1.0305 | 16.1341 | |
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| 0.9858 | 6.0 | 10692 | 1.0276 | 16.2445 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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