File size: 2,228 Bytes
2e644ad |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: imgdetection_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imgdetection_model
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2611
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 17
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4992 | 1.0 | 75 | 2.4205 |
| 2.0497 | 2.0 | 150 | 1.9037 |
| 1.7749 | 3.0 | 225 | 1.6897 |
| 1.6143 | 4.0 | 300 | 1.5540 |
| 1.5326 | 5.0 | 375 | 1.4655 |
| 1.468 | 6.0 | 450 | 1.3991 |
| 1.4381 | 7.0 | 525 | 1.4099 |
| 1.4019 | 8.0 | 600 | 1.3662 |
| 1.3626 | 9.0 | 675 | 1.3520 |
| 1.3426 | 10.0 | 750 | 1.3188 |
| 1.3249 | 11.0 | 825 | 1.2764 |
| 1.2988 | 12.0 | 900 | 1.2777 |
| 1.288 | 13.0 | 975 | 1.2534 |
| 1.2687 | 14.0 | 1050 | 1.2531 |
| 1.2655 | 15.0 | 1125 | 1.2834 |
| 1.2692 | 16.0 | 1200 | 1.2308 |
| 1.2642 | 17.0 | 1275 | 1.2403 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
|