Hugging Face's logo

onizukal
/
Boya1_RMSProp_1-e5_20Epoch_09Momentum_Beit-large-patch16_fold1

Image Classification
Transformers
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
onizukal commited on
Commit
e6490ce
•
1 Parent(s): af9dea5

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.6614173228346457
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.6340
36
- - Accuracy: 0.6614
37
 
38
  ## Model description
39
 
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 1.1476 | 1.0 | 924 | 1.0852 | 0.6394 |
69
- | 0.8958 | 2.0 | 1848 | 1.0601 | 0.6405 |
70
- | 0.7798 | 3.0 | 2772 | 0.9798 | 0.6766 |
71
- | 0.5551 | 4.0 | 3696 | 1.0556 | 0.6720 |
72
- | 0.4668 | 5.0 | 4620 | 1.2068 | 0.6666 |
73
- | 0.2422 | 6.0 | 5544 | 1.2924 | 0.6587 |
74
- | 0.149 | 7.0 | 6468 | 1.4333 | 0.6622 |
75
- | 0.1688 | 8.0 | 7392 | 1.5455 | 0.6595 |
76
- | 0.1504 | 9.0 | 8316 | 1.6133 | 0.6617 |
77
- | 0.0951 | 10.0 | 9240 | 1.6340 | 0.6614 |
78
 
79
 
80
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.6576160738528374
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.6677
36
+ - Accuracy: 0.6576
37
 
38
  ## Model description
39
 
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 1.0818 | 1.0 | 924 | 1.0982 | 0.6288 |
69
+ | 0.953 | 2.0 | 1848 | 1.0920 | 0.6253 |
70
+ | 0.7864 | 3.0 | 2772 | 0.9856 | 0.6690 |
71
+ | 0.4622 | 4.0 | 3696 | 1.0683 | 0.6630 |
72
+ | 0.4803 | 5.0 | 4620 | 1.2094 | 0.6606 |
73
+ | 0.2207 | 6.0 | 5544 | 1.3429 | 0.6516 |
74
+ | 0.1535 | 7.0 | 6468 | 1.4692 | 0.6511 |
75
+ | 0.1284 | 8.0 | 7392 | 1.5894 | 0.6541 |
76
+ | 0.1152 | 9.0 | 8316 | 1.6418 | 0.6644 |
77
+ | 0.1009 | 10.0 | 9240 | 1.6677 | 0.6576 |
78
 
79
 
80
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:17d1a26df134d88a5df9c7a46b8b134d0a64e1f938c64223c8b80d6c14ae83c9
3
  size 343129544
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:159479a30aeb11272f839d34c2e9b839b25385604b349e3d8df3c9b5157d0529
3
  size 343129544
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:83f99ab836dac8835de80d95ae31a1289d79003fec38f9de6aef64c895fe1c58
3
  size 4704
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b56d362312d231c7569babed19b538822293623d5e7e90f17401619a13d64132
3
  size 4704