File size: 1,724 Bytes
0e1321d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77555b5
0e1321d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
77555b5
0e1321d
 
 
 
 
 
 
 
 
 
77555b5
 
 
 
 
0e1321d
 
 
 
 
 
 
 
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: yolos-tiny-CD45RB-1000
  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. -->

# yolos-tiny-CD45RB-1000

This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6304

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4965        | 1.0   | 94   | 2.7799          |
| 3.4526        | 2.0   | 188  | 2.7380          |
| 3.4012        | 3.0   | 282  | 2.6721          |
| 3.2776        | 4.0   | 376  | 2.6651          |
| 3.2164        | 5.0   | 470  | 2.6555          |
| 3.2701        | 6.0   | 564  | 2.6489          |
| 3.1847        | 7.0   | 658  | 2.6993          |
| 3.0959        | 8.0   | 752  | 2.6364          |
| 3.0506        | 9.0   | 846  | 2.6464          |
| 3.0497        | 10.0  | 940  | 2.6304          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2