| | --- |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: FlanT5_Grammar_Correction |
| | results: [] |
| | --- |
| | |
| | <!-- 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](https://huggingface.co/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 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.0 |
| | - Tokenizers 0.15.0 |
| |
|
