metadata
license: apache-2.0
base_model: polejowska/detr-r50-cd45rb-8ah-6l
tags:
- generated_from_trainer
model-index:
- name: detr-r50-finetuned-mist1-gb-8ah-6l
results: []
detr-r50-finetuned-mist1-gb-8ah-6l
This model is a fine-tuned version of polejowska/detr-r50-cd45rb-8ah-6l on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9224
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5222 | 1.0 | 115 | 2.2563 |
| 2.3827 | 2.0 | 230 | 2.2211 |
| 2.3441 | 3.0 | 345 | 2.2602 |
| 2.2896 | 4.0 | 460 | 2.2359 |
| 2.2828 | 5.0 | 575 | 2.2431 |
| 2.2972 | 6.0 | 690 | 2.1629 |
| 2.3007 | 7.0 | 805 | 2.1545 |
| 2.2951 | 8.0 | 920 | 2.1153 |
| 2.2595 | 9.0 | 1035 | 2.1553 |
| 2.2327 | 10.0 | 1150 | 2.2060 |
| 2.2023 | 11.0 | 1265 | 2.0452 |
| 2.2117 | 12.0 | 1380 | 2.0879 |
| 2.1805 | 13.0 | 1495 | 2.1812 |
| 2.1344 | 14.0 | 1610 | 2.0992 |
| 2.1057 | 15.0 | 1725 | 1.9834 |
| 2.086 | 16.0 | 1840 | 1.9610 |
| 2.0591 | 17.0 | 1955 | 2.1007 |
| 2.053 | 18.0 | 2070 | 2.0561 |
| 2.0387 | 19.0 | 2185 | 2.0596 |
| 2.0161 | 20.0 | 2300 | 1.9885 |
| 2.0374 | 21.0 | 2415 | 2.0041 |
| 2.0233 | 22.0 | 2530 | 2.0103 |
| 2.0363 | 23.0 | 2645 | 2.0541 |
| 1.9837 | 24.0 | 2760 | 1.9924 |
| 1.9943 | 25.0 | 2875 | 2.0558 |
| 1.9846 | 26.0 | 2990 | 1.9874 |
| 1.9601 | 27.0 | 3105 | 1.9554 |
| 1.9837 | 28.0 | 3220 | 1.9989 |
| 1.9664 | 29.0 | 3335 | 1.9876 |
| 1.966 | 30.0 | 3450 | 1.9755 |
| 1.9226 | 31.0 | 3565 | 1.9357 |
| 1.9405 | 32.0 | 3680 | 1.9240 |
| 1.9035 | 33.0 | 3795 | 1.9411 |
| 1.8924 | 34.0 | 3910 | 1.9291 |
| 1.8801 | 35.0 | 4025 | 1.9661 |
| 1.8698 | 36.0 | 4140 | 1.9105 |
| 1.8572 | 37.0 | 4255 | 1.9448 |
| 1.8756 | 38.0 | 4370 | 1.9675 |
| 1.8593 | 39.0 | 4485 | 1.9365 |
| 1.8713 | 40.0 | 4600 | 1.9383 |
| 1.8436 | 41.0 | 4715 | 1.9671 |
| 1.83 | 42.0 | 4830 | 1.9527 |
| 1.857 | 43.0 | 4945 | 1.9448 |
| 1.8318 | 44.0 | 5060 | 1.9366 |
| 1.8177 | 45.0 | 5175 | 1.9389 |
| 1.8034 | 46.0 | 5290 | 1.9050 |
| 1.8226 | 47.0 | 5405 | 1.9226 |
| 1.818 | 48.0 | 5520 | 1.9150 |
| 1.8148 | 49.0 | 5635 | 1.9169 |
| 1.7984 | 50.0 | 5750 | 1.9224 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1