resnet-18
This model is a fine-tuned version of microsoft/resnet-18 on the cifar10 dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.1
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 333 | nan | 0.1 |
| 0.0 | 2.0 | 666 | nan | 0.1 |
| 0.0 | 3.0 | 999 | nan | 0.1 |
| 0.0 | 4.0 | 1332 | nan | 0.1 |
| 0.0 | 5.0 | 1665 | nan | 0.1 |
| 0.0 | 6.0 | 1998 | nan | 0.1 |
| 0.0 | 7.0 | 2331 | nan | 0.1 |
| 0.0 | 8.0 | 2664 | nan | 0.1 |
| 0.0 | 9.0 | 2997 | nan | 0.1 |
| 0.0 | 10.0 | 3330 | nan | 0.1 |
| 0.0 | 11.0 | 3663 | nan | 0.1 |
| 0.0 | 12.0 | 3996 | nan | 0.1 |
| 0.0 | 13.0 | 4329 | nan | 0.1 |
| 0.0 | 14.0 | 4662 | nan | 0.1 |
| 0.0 | 15.0 | 4995 | nan | 0.1 |
| 0.0 | 16.0 | 5328 | nan | 0.1 |
| 0.0 | 17.0 | 5661 | nan | 0.1 |
| 0.0 | 18.0 | 5994 | nan | 0.1 |
| 0.0 | 19.0 | 6327 | nan | 0.1 |
| 0.0 | 20.0 | 6660 | nan | 0.1 |
| 0.0 | 21.0 | 6993 | nan | 0.1 |
| 0.0 | 22.0 | 7326 | nan | 0.1 |
| 0.0 | 23.0 | 7659 | nan | 0.1 |
| 0.0 | 24.0 | 7992 | nan | 0.1 |
| 0.0 | 25.0 | 8325 | nan | 0.1 |
| 0.0 | 26.0 | 8658 | nan | 0.1 |
| 0.0 | 27.0 | 8991 | nan | 0.1 |
| 0.0 | 28.0 | 9324 | nan | 0.1 |
| 0.0 | 29.0 | 9657 | nan | 0.1 |
| 0.0 | 30.0 | 9990 | nan | 0.1 |
| 0.0 | 31.0 | 10323 | nan | 0.1 |
| 0.0 | 32.0 | 10656 | nan | 0.1 |
| 0.0 | 33.0 | 10989 | nan | 0.1 |
| 0.0 | 34.0 | 11322 | nan | 0.1 |
| 0.0 | 35.0 | 11655 | nan | 0.1 |
| 0.0 | 36.0 | 11988 | nan | 0.1 |
| 0.0 | 37.0 | 12321 | nan | 0.1 |
| 0.0 | 38.0 | 12654 | nan | 0.1 |
| 0.0 | 39.0 | 12987 | nan | 0.1 |
| 0.0 | 40.0 | 13320 | nan | 0.1 |
| 0.0 | 41.0 | 13653 | nan | 0.1 |
| 0.0 | 42.0 | 13986 | nan | 0.1 |
| 0.0 | 43.0 | 14319 | nan | 0.1 |
| 0.0 | 44.0 | 14652 | nan | 0.1 |
| 0.0 | 45.0 | 14985 | nan | 0.1 |
| 0.0 | 46.0 | 15318 | nan | 0.1 |
| 0.0 | 47.0 | 15651 | nan | 0.1 |
| 0.0 | 48.0 | 15984 | nan | 0.1 |
| 0.0 | 49.0 | 16317 | nan | 0.1 |
| 0.0 | 50.0 | 16650 | nan | 0.1 |
| 0.0 | 51.0 | 16983 | nan | 0.1 |
| 0.0 | 52.0 | 17316 | nan | 0.1 |
| 0.0 | 53.0 | 17649 | nan | 0.1 |
| 0.0 | 54.0 | 17982 | nan | 0.1 |
| 0.0 | 55.0 | 18315 | nan | 0.1 |
| 0.0 | 56.0 | 18648 | nan | 0.1 |
| 0.0 | 57.0 | 18981 | nan | 0.1 |
| 0.0 | 58.0 | 19314 | nan | 0.1 |
| 0.0 | 59.0 | 19647 | nan | 0.1 |
| 0.0 | 60.0 | 19980 | nan | 0.1 |
| 0.0 | 61.0 | 20313 | nan | 0.1 |
| 0.0 | 62.0 | 20646 | nan | 0.1 |
| 0.0 | 63.0 | 20979 | nan | 0.1 |
| 0.0 | 64.0 | 21312 | nan | 0.1 |
| 0.0 | 65.0 | 21645 | nan | 0.1 |
| 0.0 | 66.0 | 21978 | nan | 0.1 |
| 0.0 | 67.0 | 22311 | nan | 0.1 |
| 0.0 | 68.0 | 22644 | nan | 0.1 |
| 0.0 | 69.0 | 22977 | nan | 0.1 |
| 0.0 | 70.0 | 23310 | nan | 0.1 |
| 0.0 | 71.0 | 23643 | nan | 0.1 |
| 0.0 | 72.0 | 23976 | nan | 0.1 |
| 0.0 | 73.0 | 24309 | nan | 0.1 |
| 0.0 | 74.0 | 24642 | nan | 0.1 |
| 0.0 | 75.0 | 24975 | nan | 0.1 |
| 0.0 | 76.0 | 25308 | nan | 0.1 |
| 0.0 | 77.0 | 25641 | nan | 0.1 |
| 0.0 | 78.0 | 25974 | nan | 0.1 |
| 0.0 | 79.0 | 26307 | nan | 0.1 |
| 0.0 | 80.0 | 26640 | nan | 0.1 |
| 0.0 | 81.0 | 26973 | nan | 0.1 |
| 0.0 | 82.0 | 27306 | nan | 0.1 |
| 0.0 | 83.0 | 27639 | nan | 0.1 |
| 0.0 | 84.0 | 27972 | nan | 0.1 |
| 0.0 | 85.0 | 28305 | nan | 0.1 |
| 0.0 | 86.0 | 28638 | nan | 0.1 |
| 0.0 | 87.0 | 28971 | nan | 0.1 |
| 0.0 | 88.0 | 29304 | nan | 0.1 |
| 0.0 | 89.0 | 29637 | nan | 0.1 |
| 0.0 | 90.0 | 29970 | nan | 0.1 |
| 0.0 | 91.0 | 30303 | nan | 0.1 |
| 0.0 | 92.0 | 30636 | nan | 0.1 |
| 0.0 | 93.0 | 30969 | nan | 0.1 |
| 0.0 | 94.0 | 31302 | nan | 0.1 |
| 0.0 | 95.0 | 31635 | nan | 0.1 |
| 0.0 | 96.0 | 31968 | nan | 0.1 |
| 0.0 | 97.0 | 32301 | nan | 0.1 |
| 0.0 | 98.0 | 32634 | nan | 0.1 |
| 0.0 | 99.0 | 32967 | nan | 0.1 |
| 0.0 | 100.0 | 33300 | nan | 0.1 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2