metadata

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

coedit-small

This model is a fine-tuned version of google/flan-t5-small on the CoEdIT dataset. 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