| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - billsum |
| metrics: |
| - rouge |
| model-index: |
| - name: output |
| results: |
| - task: |
| name: Sequence-to-sequence Language Modeling |
| type: text2text-generation |
| dataset: |
| name: billsum |
| type: billsum |
| config: default |
| split: ca_test |
| args: default |
| metrics: |
| - name: Rouge1 |
| type: rouge |
| value: 0.1949 |
| --- |
| |
| <!-- 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. --> |
|
|
| # output |
|
|
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the billsum dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.1039 |
| - Rouge1: 0.1949 |
| - Rouge2: 0.0951 |
| - Rougel: 0.167 |
| - Rougelsum: 0.1668 |
| - Gen Len: 19.0 |
|
|
| ## 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: 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: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 1.0 | 62 | 2.2470 | 0.1958 | 0.0948 | 0.1648 | 0.1645 | 18.9798 | |
| | No log | 2.0 | 124 | 2.1637 | 0.1983 | 0.0963 | 0.1673 | 0.167 | 19.0 | |
| | No log | 3.0 | 186 | 2.1299 | 0.1954 | 0.0959 | 0.166 | 0.1658 | 19.0 | |
| | No log | 4.0 | 248 | 2.1078 | 0.1949 | 0.0948 | 0.1663 | 0.1662 | 19.0 | |
| | No log | 5.0 | 310 | 2.1039 | 0.1949 | 0.0951 | 0.167 | 0.1668 | 19.0 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
