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test
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6386
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: 0.002
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0036 | 1.0 | 72 | 0.8395 |
| 0.5944 | 2.0 | 144 | 0.8436 |
| 0.518 | 3.0 | 216 | 0.8627 |
| 0.4623 | 4.0 | 288 | 0.8937 |
| 0.4208 | 5.0 | 360 | 0.9090 |
| 0.3862 | 6.0 | 432 | 0.9323 |
| 0.3564 | 7.0 | 504 | 0.9738 |
| 0.3311 | 8.0 | 576 | 0.9879 |
| 0.3088 | 9.0 | 648 | 1.0239 |
| 0.2903 | 10.0 | 720 | 1.0531 |
| 0.2722 | 11.0 | 792 | 1.0689 |
| 0.2554 | 12.0 | 864 | 1.1002 |
| 0.2418 | 13.0 | 936 | 1.1381 |
| 0.2275 | 14.0 | 1008 | 1.1688 |
| 0.2143 | 15.0 | 1080 | 1.1975 |
| 0.2043 | 16.0 | 1152 | 1.2159 |
| 0.1932 | 17.0 | 1224 | 1.2257 |
| 0.1845 | 18.0 | 1296 | 1.2598 |
| 0.1765 | 19.0 | 1368 | 1.2888 |
| 0.1682 | 20.0 | 1440 | 1.3015 |
| 0.1601 | 21.0 | 1512 | 1.3297 |
| 0.1543 | 22.0 | 1584 | 1.3502 |
| 0.1486 | 23.0 | 1656 | 1.3689 |
| 0.1424 | 24.0 | 1728 | 1.3885 |
| 0.1375 | 25.0 | 1800 | 1.4040 |
| 0.1322 | 26.0 | 1872 | 1.4242 |
| 0.1264 | 27.0 | 1944 | 1.4488 |
| 0.1226 | 28.0 | 2016 | 1.4497 |
| 0.1198 | 29.0 | 2088 | 1.4586 |
| 0.1155 | 30.0 | 2160 | 1.4811 |
| 0.1117 | 31.0 | 2232 | 1.4988 |
| 0.1084 | 32.0 | 2304 | 1.5087 |
| 0.1054 | 33.0 | 2376 | 1.5252 |
| 0.1033 | 34.0 | 2448 | 1.5347 |
| 0.1002 | 35.0 | 2520 | 1.5478 |
| 0.0986 | 36.0 | 2592 | 1.5587 |
| 0.096 | 37.0 | 2664 | 1.5666 |
| 0.0939 | 38.0 | 2736 | 1.5673 |
| 0.0923 | 39.0 | 2808 | 1.5770 |
| 0.0895 | 40.0 | 2880 | 1.5956 |
| 0.0876 | 41.0 | 2952 | 1.5962 |
| 0.0869 | 42.0 | 3024 | 1.6038 |
| 0.0856 | 43.0 | 3096 | 1.6137 |
| 0.0838 | 44.0 | 3168 | 1.6184 |
| 0.0823 | 45.0 | 3240 | 1.6301 |
| 0.0811 | 46.0 | 3312 | 1.6311 |
| 0.0803 | 47.0 | 3384 | 1.6340 |
| 0.0795 | 48.0 | 3456 | 1.6340 |
| 0.0783 | 49.0 | 3528 | 1.6374 |
| 0.0787 | 50.0 | 3600 | 1.6386 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
