| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: t5-base-finetuned-feedback |
| | 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. --> |
| |
|
| | # t5-base-finetuned-feedback |
| |
|
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2738 |
| | - Rouge1: 55.9578 |
| | - Rouge2: 31.3401 |
| | - Rougel: 52.9556 |
| | - Rougelsum: 53.1034 |
| | - Gen Len: 10.2562 |
| |
|
| | ## 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: 2e-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: 10 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 61 | 1.4341 | 53.0065 | 28.3454 | 50.4489 | 50.5377 | 9.3388 | |
| | | No log | 2.0 | 122 | 1.3604 | 53.2275 | 28.6424 | 50.6585 | 50.7617 | 9.8182 | |
| | | No log | 3.0 | 183 | 1.3207 | 52.7581 | 28.6272 | 49.6977 | 49.7928 | 10.0661 | |
| | | No log | 4.0 | 244 | 1.3098 | 53.5227 | 28.6578 | 50.2637 | 50.2897 | 9.9752 | |
| | | No log | 5.0 | 305 | 1.2898 | 54.4587 | 29.8825 | 51.3522 | 51.4744 | 9.876 | |
| | | No log | 6.0 | 366 | 1.2781 | 54.046 | 29.7089 | 51.3241 | 51.4283 | 10.1818 | |
| | | No log | 7.0 | 427 | 1.2771 | 55.1788 | 30.8745 | 52.3598 | 52.4871 | 10.2149 | |
| | | No log | 8.0 | 488 | 1.2762 | 55.6258 | 30.9444 | 52.5715 | 52.6889 | 10.2397 | |
| | | 1.2952 | 9.0 | 549 | 1.2746 | 55.759 | 30.918 | 52.8427 | 52.8878 | 10.1818 | |
| | | 1.2952 | 10.0 | 610 | 1.2738 | 55.9578 | 31.3401 | 52.9556 | 53.1034 | 10.2562 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.1 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
| |
|
