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FlanT5_Grammar_Correction
Floyd93/FlanT5_Grammar_Correction
FlanT5_Grammar_Correction is a machine learning model from Floyd93. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 12, 2023
- Updated
- Dec 30, 2023
- SHA
- e1478098
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
FlanT5_Grammar_Correction
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5641
- Rouge1: 25.8411
- Rouge2: 21.9266
- Rougel: 25.6021
- Rougelsum: 25.8204
- Gen Len: 18.66
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: 5e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 70 | 0.6908 | 24.6523 | 20.2616 | 24.4437 | 24.5628 | 18.7067 |
| No log | 2.0 | 140 | 0.6518 | 24.8929 | 20.7179 | 24.6941 | 24.82 | 18.6933 |
| No log | 3.0 | 210 | 0.6094 | 25.3966 | 21.4469 | 25.1476 | 25.3394 | 18.66 |
| No log | 4.0 | 280 | 0.6017 | 25.6059 | 21.6233 | 25.3733 | 25.602 | 18.65 |
| No log | 5.0 | 350 | 0.5839 | 25.6422 | 21.6618 | 25.399 | 25.6115 | 18.6533 |
| No log | 6.0 | 420 | 0.5743 | 25.6713 | 21.6384 | 25.4196 | 25.645 | 18.6533 |
| No log | 7.0 | 490 | 0.5710 | 25.7888 | 21.8155 | 25.5426 | 25.7576 | 18.6667 |
| 0.7559 | 8.0 | 560 | 0.5669 | 25.8358 | 21.8943 | 25.5741 | 25.8059 | 18.6667 |
| 0.7559 | 9.0 | 630 | 0.5651 | 25.8471 | 21.9295 | 25.606 | 25.8206 | 18.66 |
| 0.7559 | 10.0 | 700 | 0.5641 | 25.8411 | 21.9266 | 25.6021 | 25.8204 | 18.66 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 12, 2023
- Updated
- Dec 30, 2023