| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| datasets: |
| - grammarly/coedit |
| tags: |
| - generated_from_trainer |
| - text-generation-inference |
| metrics: |
| - rouge |
| model-index: |
| - name: coedit-base |
| results: [] |
| language: |
| - en |
| widget: |
| - text: >- |
| Fix the grammar: When I grow up, I start to understand what he said is quite |
| right. |
| example_title: Fluency |
| - text: >- |
| Make this text coherent: Their flight is weak. They run quickly through the |
| tree canopy. |
| example_title: Coherence |
| - text: >- |
| Rewrite to make this easier to understand: A storm surge is what forecasters |
| consider a hurricane's most treacherous aspect. |
| example_title: Simplification |
| - text: 'Paraphrase this: Do you know where I was born?' |
| example_title: Paraphrase |
| - text: 'Write this more formally: omg i love that song im listening to it right now' |
| example_title: Formalize |
| - text: 'Write in a more neutral way: The authors'' exposé on nutrition studies.' |
| example_title: Neutralize |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # coedit-base |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the [CoEdIT dataset](https://huggingface.co/datasets/grammarly/coedit). |
|
|
| It achieves the following results on the evaluation set: |
| - Loss: 0.5978 |
| - Rouge1: 60.5931 |
| - Rouge2: 48.0165 |
| - Rougel: 57.8997 |
| - Rougelsum: 57.9335 |
| - Gen Len: 16.6729 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 10 |
| - eval_batch_size: 10 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | 0.7478 | 1.0 | 6908 | 0.6452 | 59.7569 | 46.3099 | 56.4301 | 56.4464 | 16.6268 | |
| | 0.7127 | 2.0 | 13816 | 0.6086 | 60.2082 | 47.27 | 57.2356 | 57.2531 | 16.6513 | |
| | 0.7136 | 3.0 | 20724 | 0.6059 | 60.3747 | 47.6257 | 57.595 | 57.6184 | 16.6349 | |
| | 0.7038 | 4.0 | 27632 | 0.5999 | 60.5075 | 47.7856 | 57.7316 | 57.7698 | 16.6735 | |
| | 0.6911 | 5.0 | 34540 | 0.5978 | 60.5931 | 48.0165 | 57.8997 | 57.9335 | 16.6729 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.7 |
| - Tokenizers 0.15.0 |
