| --- |
| 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: 0.8601 |
| - Rouge1: 0.2061 |
| - Rouge2: 0.1141 |
| - Rougel: 0.1781 |
| - Rougelsum: 0.1947 |
|
|
| ## 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 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | No log | 1.0 | 17 | 1.0118 | 0.1983 | 0.1119 | 0.1688 | 0.1818 | |
| | No log | 2.0 | 34 | 0.9766 | 0.2073 | 0.1290 | 0.1859 | 0.1993 | |
| | No log | 3.0 | 51 | 0.9211 | 0.2097 | 0.1224 | 0.1853 | 0.1983 | |
| | No log | 4.0 | 68 | 0.8961 | 0.2122 | 0.1165 | 0.1845 | 0.1991 | |
| | No log | 5.0 | 85 | 0.8820 | 0.2107 | 0.1192 | 0.1850 | 0.2016 | |
| | No log | 6.0 | 102 | 0.8734 | 0.2101 | 0.1173 | 0.1817 | 0.1999 | |
| | No log | 7.0 | 119 | 0.8688 | 0.2056 | 0.1114 | 0.1785 | 0.1920 | |
| | No log | 8.0 | 136 | 0.8639 | 0.2057 | 0.1135 | 0.1763 | 0.1931 | |
| | No log | 9.0 | 153 | 0.8615 | 0.2084 | 0.1173 | 0.1799 | 0.1956 | |
| | No log | 10.0 | 170 | 0.8601 | 0.2061 | 0.1141 | 0.1781 | 0.1947 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.33.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
