File size: 2,297 Bytes
ed1e87e 54e2f14 ed1e87e 54e2f14 ed1e87e 54e2f14 ed1e87e 54e2f14 ed1e87e 54e2f14 ed1e87e |
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 76 77 |
---
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50-base-coco
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-resnet-50-base-coco
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6387.9546
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 4 | 6394.3193 |
| No log | 2.0 | 8 | 6393.3564 |
| 6173.6062 | 3.0 | 12 | 6390.9482 |
| 6173.6062 | 4.0 | 16 | 6389.5869 |
| 6287.2859 | 5.0 | 20 | 6388.7280 |
| 6287.2859 | 6.0 | 24 | 6388.6221 |
| 6287.2859 | 7.0 | 28 | 6388.4399 |
| 6224.3344 | 8.0 | 32 | 6388.2119 |
| 6224.3344 | 9.0 | 36 | 6388.5449 |
| 6083.1363 | 10.0 | 40 | 6388.3262 |
| 6083.1363 | 11.0 | 44 | 6390.2056 |
| 6083.1363 | 12.0 | 48 | 6388.6606 |
| 6260.7426 | 13.0 | 52 | 6388.1484 |
| 6260.7426 | 14.0 | 56 | 6388.0479 |
| 6377.543 | 15.0 | 60 | 6388.0303 |
| 6377.543 | 16.0 | 64 | 6388.1338 |
| 6377.543 | 17.0 | 68 | 6388.0596 |
| 6318.3168 | 18.0 | 72 | 6388.0195 |
| 6318.3168 | 19.0 | 76 | 6387.9639 |
| 6258.2133 | 20.0 | 80 | 6387.9546 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
|