End of training
Browse files- README.md +95 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,95 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/deit-tiny-patch16-224
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- imagefolder
|
| 8 |
+
metrics:
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold4
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
name: Image Classification
|
| 15 |
+
type: image-classification
|
| 16 |
+
dataset:
|
| 17 |
+
name: imagefolder
|
| 18 |
+
type: imagefolder
|
| 19 |
+
config: default
|
| 20 |
+
split: test
|
| 21 |
+
args: default
|
| 22 |
+
metrics:
|
| 23 |
+
- name: Accuracy
|
| 24 |
+
type: accuracy
|
| 25 |
+
value: 0.5623306233062331
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 29 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 30 |
+
|
| 31 |
+
# Boya1_Adamax_1-e4_20Epoch_Deit-tiny-patch16_fold4
|
| 32 |
+
|
| 33 |
+
This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
|
| 34 |
+
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 3.5379
|
| 36 |
+
- Accuracy: 0.5623
|
| 37 |
+
|
| 38 |
+
## Model description
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Intended uses & limitations
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Training and evaluation data
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training procedure
|
| 51 |
+
|
| 52 |
+
### Training hyperparameters
|
| 53 |
+
|
| 54 |
+
The following hyperparameters were used during training:
|
| 55 |
+
- learning_rate: 0.0001
|
| 56 |
+
- train_batch_size: 16
|
| 57 |
+
- eval_batch_size: 16
|
| 58 |
+
- seed: 42
|
| 59 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 60 |
+
- lr_scheduler_type: linear
|
| 61 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 62 |
+
- num_epochs: 20
|
| 63 |
+
|
| 64 |
+
### Training results
|
| 65 |
+
|
| 66 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 67 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
| 68 |
+
| 1.4184 | 1.0 | 923 | 1.5125 | 0.4894 |
|
| 69 |
+
| 1.1581 | 2.0 | 1846 | 1.3440 | 0.5398 |
|
| 70 |
+
| 1.0675 | 3.0 | 2769 | 1.2921 | 0.5683 |
|
| 71 |
+
| 0.9984 | 4.0 | 3692 | 1.3169 | 0.5756 |
|
| 72 |
+
| 0.6437 | 5.0 | 4615 | 1.3971 | 0.5629 |
|
| 73 |
+
| 0.491 | 6.0 | 5538 | 1.5307 | 0.5547 |
|
| 74 |
+
| 0.3697 | 7.0 | 6461 | 1.6679 | 0.5615 |
|
| 75 |
+
| 0.2372 | 8.0 | 7384 | 1.9476 | 0.5461 |
|
| 76 |
+
| 0.0824 | 9.0 | 8307 | 2.1631 | 0.5531 |
|
| 77 |
+
| 0.0471 | 10.0 | 9230 | 2.4822 | 0.5485 |
|
| 78 |
+
| 0.0645 | 11.0 | 10153 | 2.7301 | 0.5523 |
|
| 79 |
+
| 0.0461 | 12.0 | 11076 | 2.8827 | 0.5588 |
|
| 80 |
+
| 0.0021 | 13.0 | 11999 | 3.1615 | 0.5575 |
|
| 81 |
+
| 0.0011 | 14.0 | 12922 | 3.1796 | 0.5612 |
|
| 82 |
+
| 0.0141 | 15.0 | 13845 | 3.2737 | 0.5566 |
|
| 83 |
+
| 0.0004 | 16.0 | 14768 | 3.3570 | 0.5593 |
|
| 84 |
+
| 0.0004 | 17.0 | 15691 | 3.4150 | 0.5621 |
|
| 85 |
+
| 0.0003 | 18.0 | 16614 | 3.4800 | 0.5615 |
|
| 86 |
+
| 0.0002 | 19.0 | 17537 | 3.5180 | 0.5615 |
|
| 87 |
+
| 0.0002 | 20.0 | 18460 | 3.5379 | 0.5623 |
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
### Framework versions
|
| 91 |
+
|
| 92 |
+
- Transformers 4.40.1
|
| 93 |
+
- Pytorch 2.1.0
|
| 94 |
+
- Datasets 2.19.0
|
| 95 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 22134280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:760638314f5c7fe1bd313cb77378d4b68c6b6998dde240b82254957bfc3a1509
|
| 3 |
size 22134280
|