File size: 1,745 Bytes
2432ad1 cd38be7 2432ad1 cd38be7 2432ad1 47c53f0 cd38be7 2432ad1 |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: cdetr-cd45rb-s
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. -->
# cdetr-cd45rb-s
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0136
## 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: 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6006 | 1.0 | 242 | 2.2146 |
| 2.2409 | 2.0 | 484 | 2.1106 |
| 2.2027 | 3.0 | 726 | 2.1456 |
| 2.183 | 4.0 | 968 | 2.0863 |
| 2.0628 | 5.0 | 1210 | 2.0294 |
| 2.1588 | 6.0 | 1452 | 2.0859 |
| 2.1731 | 7.0 | 1694 | 2.0731 |
| 2.1041 | 8.0 | 1936 | 2.1052 |
| 2.0383 | 9.0 | 2178 | 2.0378 |
| 1.967 | 10.0 | 2420 | 2.0136 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
|