| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| 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: 0.3877 |
| - Rouge1: 0.1916 |
| - Rouge2: 0.0900 |
| - Rougel: 0.1578 |
| - Rougelsum: 0.1799 |
|
|
| ## 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: 8e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 200 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | No log | 1.0 | 17 | 6.3841 | 0.0258 | 0.0043 | 0.0256 | 0.0255 | |
| | No log | 2.0 | 34 | 3.6116 | 0.0214 | 0.0020 | 0.0193 | 0.0203 | |
| | No log | 3.0 | 51 | 1.7410 | 0.0075 | 0.0016 | 0.0070 | 0.0071 | |
| | No log | 4.0 | 68 | 0.8219 | 0.0037 | 0.0013 | 0.0025 | 0.0025 | |
| | No log | 5.0 | 85 | 0.6052 | 0.0095 | 0.0050 | 0.0067 | 0.0074 | |
| | No log | 6.0 | 102 | 0.4904 | 0.1239 | 0.0566 | 0.0988 | 0.1164 | |
| | No log | 7.0 | 119 | 0.4477 | 0.1669 | 0.0745 | 0.1366 | 0.1570 | |
| | No log | 8.0 | 136 | 0.4218 | 0.1765 | 0.0781 | 0.1464 | 0.1665 | |
| | No log | 9.0 | 153 | 0.4044 | 0.1923 | 0.0955 | 0.1604 | 0.1845 | |
| | No log | 10.0 | 170 | 0.3937 | 0.1909 | 0.0967 | 0.1636 | 0.1794 | |
| | No log | 11.0 | 187 | 0.3887 | 0.1919 | 0.0893 | 0.1594 | 0.1795 | |
| | No log | 11.76 | 200 | 0.3877 | 0.1916 | 0.0900 | 0.1578 | 0.1799 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
