mt5-small-finetuned-DEPlain
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6826
- Rouge1: 55.2811
- Rouge2: 33.4022
- Rougel: 49.0555
- Rougelsum: 49.8535
- Gen Len: 16.3063
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 6.1176 | 1.0 | 1333 | 2.2908 | 44.5349 | 24.6346 | 39.4206 | 40.1782 | 14.1202 |
| 2.9848 | 2.0 | 2666 | 2.0502 | 50.238 | 29.4215 | 44.3707 | 45.2709 | 15.4249 |
| 2.7551 | 3.0 | 3999 | 1.9383 | 52.4619 | 30.9025 | 46.0413 | 47.0121 | 15.814 |
| 2.5148 | 4.0 | 5332 | 1.8737 | 53.5574 | 31.7729 | 47.2411 | 48.1681 | 15.9764 |
| 2.3973 | 5.0 | 6665 | 1.8404 | 54.3931 | 32.4048 | 47.8747 | 48.7838 | 16.1422 |
| 2.3364 | 6.0 | 7998 | 1.7939 | 54.1979 | 32.253 | 47.8117 | 48.6785 | 16.0699 |
| 2.2807 | 7.0 | 9331 | 1.7804 | 54.3636 | 32.486 | 48.0067 | 48.8565 | 16.1324 |
| 2.2326 | 8.0 | 10664 | 1.7678 | 54.7743 | 32.7932 | 48.3657 | 49.1933 | 16.1608 |
| 2.1839 | 9.0 | 11997 | 1.7436 | 54.8052 | 32.8554 | 48.4859 | 49.3042 | 16.2047 |
| 2.1508 | 10.0 | 13330 | 1.7309 | 54.8064 | 32.8648 | 48.4888 | 49.3149 | 16.1779 |
| 2.1245 | 11.0 | 14663 | 1.7251 | 55.0598 | 33.1609 | 48.7331 | 49.6079 | 16.2705 |
| 2.1003 | 12.0 | 15996 | 1.7104 | 54.9449 | 33.1058 | 48.7477 | 49.5681 | 16.2185 |
| 2.0486 | 13.0 | 17329 | 1.6998 | 55.2225 | 33.3383 | 48.9821 | 49.8075 | 16.2494 |
| 2.0494 | 14.0 | 18662 | 1.6966 | 55.1758 | 33.3602 | 48.9134 | 49.7473 | 16.2648 |
| 2.0307 | 15.0 | 19995 | 1.6912 | 55.2276 | 33.3542 | 49.0322 | 49.8302 | 16.2721 |
| 2.0296 | 16.0 | 21328 | 1.6845 | 55.153 | 33.289 | 48.8609 | 49.7004 | 16.2754 |
| 2.01 | 17.0 | 22661 | 1.6842 | 55.3664 | 33.4755 | 49.1395 | 49.9518 | 16.3168 |
| 1.989 | 18.0 | 23994 | 1.6836 | 55.2333 | 33.3763 | 49.0259 | 49.8265 | 16.2794 |
| 2.0067 | 19.0 | 25327 | 1.6829 | 55.3122 | 33.4023 | 49.1034 | 49.8989 | 16.3022 |
| 2.0174 | 20.0 | 26660 | 1.6826 | 55.2811 | 33.4022 | 49.0555 | 49.8535 | 16.3063 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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