| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - samsum |
| metrics: |
| - rouge |
| model-index: |
| - name: flan-t5-base-samsum |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: samsum |
| type: samsum |
| config: samsum |
| split: test |
| args: samsum |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 47.2627 |
| --- |
| |
| <!-- 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. --> |
|
|
| # flan-t5-base-samsum |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3743 |
| - Rouge1: 47.2627 |
| - Rouge2: 23.4832 |
| - Rougel: 39.7967 |
| - Rougelsum: 43.408 |
| - Gen Len: 17.2466 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | 1.4528 | 1.0 | 1842 | 1.3867 | 46.7175 | 22.7587 | 39.029 | 42.8309 | 17.3993 | |
| | 1.3385 | 2.0 | 3684 | 1.3751 | 46.8834 | 23.2509 | 39.1568 | 43.0054 | 17.3431 | |
| | 1.2711 | 3.0 | 5526 | 1.3745 | 47.2781 | 23.4867 | 39.632 | 43.4454 | 17.4493 | |
| | 1.2284 | 4.0 | 7368 | 1.3743 | 47.2627 | 23.4832 | 39.7967 | 43.408 | 17.2466 | |
| | 1.2085 | 5.0 | 9210 | 1.3759 | 47.3838 | 23.7368 | 39.8441 | 43.6349 | 17.2967 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
