detr-resnet-50_find_tuned_beyond_words
This model is a fine-tuned version of facebook/detr-resnet-50 on the beyond_words_23 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9310
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7439 | 0.56 | 100 | 2.2690 |
| 1.7644 | 1.12 | 200 | 1.5053 |
| 1.557 | 1.69 | 300 | 1.3136 |
| 1.3207 | 2.25 | 400 | 1.2063 |
| 1.3705 | 2.81 | 500 | 1.2007 |
| 1.1924 | 3.37 | 600 | 1.2704 |
| 1.2604 | 3.93 | 700 | 1.1784 |
| 1.1982 | 4.49 | 800 | 1.1167 |
| 1.1912 | 5.06 | 900 | 1.1562 |
| 1.1206 | 5.62 | 1000 | 1.2124 |
| 1.1344 | 6.18 | 1100 | 1.0622 |
| 1.1388 | 6.74 | 1200 | 1.0425 |
| 1.0124 | 7.3 | 1300 | 0.9908 |
| 1.0776 | 7.87 | 1400 | 1.1182 |
| 0.9614 | 8.43 | 1500 | 0.9967 |
| 1.0136 | 8.99 | 1600 | 0.8933 |
| 1.0206 | 9.55 | 1700 | 0.9354 |
| 0.9529 | 10.11 | 1800 | 0.9751 |
| 1.0126 | 10.67 | 1900 | 0.9310 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2