|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-small |
|
datasets: |
|
- grammarly/coedit |
|
tags: |
|
- generated_from_trainer |
|
- text-generation-inference |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: coedit-small |
|
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-small |
|
|
|
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the [CoEdIT dataset](https://huggingface.co/datasets/grammarly/coedit). |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8242 |
|
- Rouge1: 58.7504 |
|
- Rouge2: 45.1374 |
|
- Rougel: 55.4161 |
|
- Rougelsum: 55.4599 |
|
- Gen Len: 16.5245 |
|
|
|
## 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: 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 0.9482 | 1.0 | 4317 | 0.8878 | 58.4501 | 44.2623 | 54.4468 | 54.51 | 16.5088 | |
|
| 0.9155 | 2.0 | 8634 | 0.8485 | 58.6609 | 44.7759 | 54.9844 | 55.0503 | 16.5339 | |
|
| 0.8964 | 3.0 | 12951 | 0.8402 | 58.712 | 44.9838 | 55.2171 | 55.2697 | 16.5251 | |
|
| 0.9049 | 4.0 | 17268 | 0.8305 | 58.7767 | 45.1325 | 55.3955 | 55.4522 | 16.5181 | |
|
| 0.8948 | 5.0 | 21585 | 0.8242 | 58.7504 | 45.1374 | 55.4161 | 55.4599 | 16.5245 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.7 |
|
- Tokenizers 0.15.0 |
