|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- polejowska/cd45rb |
|
model-index: |
|
- name: detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd |
|
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. --> |
|
|
|
# detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5819 |
|
|
|
## 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: 25 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:------:|:---------------:| |
|
| 2.3194 | 1.0 | 4606 | 1.7874 | |
|
| 2.3461 | 2.0 | 9212 | 1.8376 | |
|
| 2.3028 | 3.0 | 13818 | 1.9087 | |
|
| 2.2979 | 4.0 | 18424 | 1.9066 | |
|
| 2.273 | 5.0 | 23030 | 1.7689 | |
|
| 2.2372 | 6.0 | 27636 | 1.8501 | |
|
| 2.2429 | 7.0 | 32242 | 1.7625 | |
|
| 2.2066 | 8.0 | 36848 | 1.7588 | |
|
| 2.1914 | 9.0 | 41454 | 1.7062 | |
|
| 2.1553 | 10.0 | 46060 | 1.7069 | |
|
| 2.1302 | 11.0 | 50666 | 1.6863 | |
|
| 2.1321 | 12.0 | 55272 | 1.7722 | |
|
| 2.1227 | 13.0 | 59878 | 1.6639 | |
|
| 2.087 | 14.0 | 64484 | 1.6486 | |
|
| 2.0676 | 15.0 | 69090 | 1.6632 | |
|
| 2.0604 | 16.0 | 73696 | 1.6429 | |
|
| 2.0435 | 17.0 | 78302 | 1.6224 | |
|
| 2.0241 | 18.0 | 82908 | 1.6321 | |
|
| 2.0041 | 19.0 | 87514 | 1.5970 | |
|
| 1.9966 | 20.0 | 92120 | 1.5943 | |
|
| 2.0165 | 21.0 | 96726 | 1.6092 | |
|
| 2.007 | 22.0 | 101332 | 1.5986 | |
|
| 2.0009 | 23.0 | 105938 | 1.5931 | |
|
| 1.992 | 24.0 | 110544 | 1.5898 | |
|
| 1.9769 | 25.0 | 115150 | 1.5819 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
