| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: touring2 |
| 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. --> |
|
|
| # touring2 |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4042 |
| - Rouge1: 60.0314 |
| - Rouge2: 42.51 |
| - Rougel: 59.8461 |
| - Rougelsum: 59.6885 |
| - Gen Len: 9.6526 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | 1.6599 | 1.0 | 1249 | 1.4452 | 52.1368 | 34.9356 | 51.6433 | 51.7033 | 9.4643 | |
| | 1.2659 | 2.0 | 2498 | 1.4013 | 53.5023 | 35.6721 | 53.0881 | 53.1954 | 9.6526 | |
| | 1.1027 | 3.0 | 3747 | 1.3475 | 59.004 | 41.5484 | 58.8625 | 58.785 | 9.6818 | |
| | 0.9453 | 4.0 | 4996 | 1.3966 | 58.5942 | 40.7989 | 58.3943 | 58.3703 | 9.7516 | |
| | 0.9083 | 5.0 | 6245 | 1.4042 | 60.0314 | 42.51 | 59.8461 | 59.6885 | 9.6526 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.27.0.dev0 |
| - Pytorch 1.13.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.2 |
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|
