metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ptt5-wikilingua-temario
results: []
ptt5-wikilingua-temario
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4417
- Rouge1: 8.787
- Rouge2: 5.5133
- Rougel: 7.7732
- Rougelsum: 8.5033
- 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 88 | 2.7066 | 7.5069 | 3.1524 | 6.0693 | 7.1909 | 19.0 |
| No log | 2.0 | 176 | 2.6314 | 7.663 | 3.5887 | 6.1987 | 7.3444 | 19.0 |
| 2.9286 | 3.0 | 264 | 2.5823 | 8.4012 | 4.3812 | 7.0272 | 8.0549 | 19.0 |
| 2.9286 | 4.0 | 352 | 2.5548 | 8.6227 | 4.8271 | 7.1687 | 8.2419 | 19.0 |
| 2.6522 | 5.0 | 440 | 2.5300 | 8.6178 | 4.7726 | 7.2234 | 8.2637 | 19.0 |
| 2.6522 | 6.0 | 528 | 2.5124 | 8.7431 | 4.8169 | 7.4449 | 8.3875 | 19.0 |
| 2.5237 | 7.0 | 616 | 2.4978 | 8.8796 | 5.0694 | 7.5619 | 8.5038 | 19.0 |
| 2.5237 | 8.0 | 704 | 2.4917 | 8.7714 | 5.1832 | 7.643 | 8.4577 | 19.0 |
| 2.5237 | 9.0 | 792 | 2.4801 | 8.7998 | 5.2361 | 7.6774 | 8.4935 | 19.0 |
| 2.4402 | 10.0 | 880 | 2.4716 | 8.9029 | 5.254 | 7.7002 | 8.5854 | 19.0 |
| 2.4402 | 11.0 | 968 | 2.4668 | 8.949 | 5.3352 | 7.7535 | 8.6621 | 19.0 |
| 2.3925 | 12.0 | 1056 | 2.4640 | 8.8126 | 5.1864 | 7.5918 | 8.4955 | 19.0 |
| 2.3925 | 13.0 | 1144 | 2.4581 | 8.8663 | 5.293 | 7.6271 | 8.537 | 19.0 |
| 2.3189 | 14.0 | 1232 | 2.4516 | 8.9118 | 5.3828 | 7.6637 | 8.581 | 19.0 |
| 2.3189 | 15.0 | 1320 | 2.4500 | 8.9342 | 5.4024 | 7.7154 | 8.5934 | 19.0 |
| 2.2561 | 16.0 | 1408 | 2.4502 | 8.8847 | 5.5391 | 7.8322 | 8.611 | 19.0 |
| 2.2561 | 17.0 | 1496 | 2.4485 | 8.8129 | 5.4839 | 7.7874 | 8.5371 | 19.0 |
| 2.2561 | 18.0 | 1584 | 2.4448 | 8.8058 | 5.4796 | 7.7881 | 8.5264 | 19.0 |
| 2.231 | 19.0 | 1672 | 2.4435 | 8.7837 | 5.4104 | 7.7718 | 8.5261 | 19.0 |
| 2.231 | 20.0 | 1760 | 2.4437 | 8.7946 | 5.4966 | 7.7942 | 8.5357 | 19.0 |
| 2.2094 | 21.0 | 1848 | 2.4432 | 8.7801 | 5.4826 | 7.7942 | 8.5156 | 19.0 |
| 2.2094 | 22.0 | 1936 | 2.4452 | 8.7801 | 5.4826 | 7.7942 | 8.5156 | 19.0 |
| 2.1987 | 23.0 | 2024 | 2.4424 | 8.8398 | 5.5067 | 7.8209 | 8.5856 | 19.0 |
| 2.1987 | 24.0 | 2112 | 2.4440 | 8.8398 | 5.5067 | 7.8209 | 8.5856 | 19.0 |
| 2.1643 | 25.0 | 2200 | 2.4397 | 8.8398 | 5.5067 | 7.8209 | 8.5856 | 19.0 |
| 2.1643 | 26.0 | 2288 | 2.4411 | 8.8072 | 5.5271 | 7.7949 | 8.5449 | 19.0 |
| 2.1643 | 27.0 | 2376 | 2.4424 | 8.8192 | 5.4877 | 7.7992 | 8.5387 | 19.0 |
| 2.1376 | 28.0 | 2464 | 2.4423 | 8.787 | 5.5133 | 7.7732 | 8.5033 | 19.0 |
| 2.1376 | 29.0 | 2552 | 2.4423 | 8.787 | 5.5133 | 7.7732 | 8.5033 | 19.0 |
| 2.1601 | 30.0 | 2640 | 2.4417 | 8.787 | 5.5133 | 7.7732 | 8.5033 | 19.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1