byt5_3k
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0786
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: 5e-05
- train_batch_size: 800
- eval_batch_size: 800
- 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 |
---|---|---|---|
No log | 1.0 | 4 | 0.1739 |
No log | 2.0 | 8 | 0.1598 |
0.3456 | 3.0 | 12 | 0.1841 |
0.3456 | 4.0 | 16 | 0.1430 |
0.3252 | 5.0 | 20 | 0.1628 |
0.3252 | 6.0 | 24 | 0.1406 |
0.3252 | 7.0 | 28 | 0.1349 |
0.3058 | 8.0 | 32 | 0.1498 |
0.3058 | 9.0 | 36 | 0.1371 |
0.2953 | 10.0 | 40 | 0.1417 |
0.2953 | 11.0 | 44 | 0.1371 |
0.2953 | 12.0 | 48 | 0.1222 |
0.2827 | 13.0 | 52 | 0.1317 |
0.2827 | 14.0 | 56 | 0.1227 |
0.2719 | 15.0 | 60 | 0.1128 |
0.2719 | 16.0 | 64 | 0.1209 |
0.2719 | 17.0 | 68 | 0.1200 |
0.2698 | 18.0 | 72 | 0.1149 |
0.2698 | 19.0 | 76 | 0.1090 |
0.2473 | 20.0 | 80 | 0.1045 |
0.2473 | 21.0 | 84 | 0.1174 |
0.2473 | 22.0 | 88 | 0.1056 |
0.2492 | 23.0 | 92 | 0.0976 |
0.2492 | 24.0 | 96 | 0.1164 |
0.2377 | 25.0 | 100 | 0.0974 |
0.2377 | 26.0 | 104 | 0.0922 |
0.2377 | 27.0 | 108 | 0.1022 |
0.2312 | 28.0 | 112 | 0.0908 |
0.2312 | 29.0 | 116 | 0.0891 |
0.2254 | 30.0 | 120 | 0.0967 |
0.2254 | 31.0 | 124 | 0.0930 |
0.2254 | 32.0 | 128 | 0.0866 |
0.224 | 33.0 | 132 | 0.0828 |
0.224 | 34.0 | 136 | 0.0850 |
0.2166 | 35.0 | 140 | 0.0883 |
0.2166 | 36.0 | 144 | 0.0825 |
0.2166 | 37.0 | 148 | 0.0804 |
0.2128 | 38.0 | 152 | 0.0855 |
0.2128 | 39.0 | 156 | 0.0865 |
0.2048 | 40.0 | 160 | 0.0798 |
0.2048 | 41.0 | 164 | 0.0787 |
0.2048 | 42.0 | 168 | 0.0802 |
0.2063 | 43.0 | 172 | 0.0812 |
0.2063 | 44.0 | 176 | 0.0803 |
0.2075 | 45.0 | 180 | 0.0779 |
0.2075 | 46.0 | 184 | 0.0773 |
0.2075 | 47.0 | 188 | 0.0772 |
0.1997 | 48.0 | 192 | 0.0781 |
0.1997 | 49.0 | 196 | 0.0783 |
0.2074 | 50.0 | 200 | 0.0786 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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