Hugging Face's logo

juniorjukeko
/
emotion-classificationV3

Image Classification
Transformers
PyTorch
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Community
1
juniorjukeko commited on
Commit
08c5205
•
1 Parent(s): 711837f

End of training

Browse files
Files changed (4) hide show
  1. README.md +27 -17
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
2
- base_model: juniorjukeko/emotion-classificationV3
3
  tags:
4
  - generated_from_trainer
5
  metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # emotion-classificationV3
16
 
17
- This model is a fine-tuned version of [juniorjukeko/emotion-classificationV3](https://huggingface.co/juniorjukeko/emotion-classificationV3) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.0695
20
- - Accuracy: 0.5563
21
 
22
  ## Model description
23
 
@@ -36,7 +36,7 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 5e-05
40
  - train_batch_size: 32
41
  - eval_batch_size: 32
42
  - seed: 143
@@ -45,22 +45,32 @@ The following hyperparameters were used during training:
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_ratio: 0.1
48
- - num_epochs: 10
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
- |:-------------:|:-----:|:----:|:--------:|:---------------:|
54
- | No log | 1.0 | 5 | 1.9717 | 0.55 |
55
- | 0.0109 | 2.0 | 10 | 2.0396 | 0.525 |
56
- | 0.0109 | 3.0 | 15 | 2.2681 | 0.5062 |
57
- | 0.0123 | 4.0 | 20 | 2.1386 | 0.5062 |
58
- | 0.0123 | 5.0 | 25 | 2.6115 | 0.4313 |
59
- | 0.009 | 6.0 | 30 | 2.4700 | 0.5 |
60
- | 0.009 | 7.0 | 35 | 2.3460 | 0.5 |
61
- | 0.0091 | 8.0 | 40 | 2.5743 | 0.4688 |
62
- | 0.0091 | 9.0 | 45 | 2.0986 | 0.5188 |
63
- | 0.0395 | 10.0 | 50 | 2.2360 | 0.5062 |
 
 
 
 
 
 
 
 
 
 
64
 
65
 
66
  ### Framework versions
 
1
  ---
2
+ base_model: /content/model/emotion-classificationV3/checkpoint-60
3
  tags:
4
  - generated_from_trainer
5
  metrics:
 
14
 
15
  # emotion-classificationV3
16
 
17
+ This model is a fine-tuned version of [/content/model/emotion-classificationV3/checkpoint-60](https://huggingface.co//content/model/emotion-classificationV3/checkpoint-60) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.5765
20
+ - Accuracy: 0.8438
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 1e-05
40
  - train_batch_size: 32
41
  - eval_batch_size: 32
42
  - seed: 143
 
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 20
49
 
50
  ### Training results
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
53
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
54
+ | No log | 1.0 | 5 | 0.6923 | 0.7937 |
55
+ | 0.5541 | 2.0 | 10 | 0.7871 | 0.8063 |
56
+ | 0.5541 | 3.0 | 15 | 0.7193 | 0.8313 |
57
+ | 0.5168 | 4.0 | 20 | 0.6446 | 0.825 |
58
+ | 0.5168 | 5.0 | 25 | 0.5653 | 0.8438 |
59
+ | 0.4627 | 6.0 | 30 | 0.7244 | 0.8063 |
60
+ | 0.4627 | 7.0 | 35 | 0.7213 | 0.7937 |
61
+ | 0.4516 | 8.0 | 40 | 0.6082 | 0.8313 |
62
+ | 0.4516 | 9.0 | 45 | 0.7545 | 0.8063 |
63
+ | 0.4339 | 10.0 | 50 | 0.5320 | 0.8562 |
64
+ | 0.4339 | 11.0 | 55 | 0.6222 | 0.8187 |
65
+ | 0.4233 | 12.0 | 60 | 0.6104 | 0.8438 |
66
+ | 0.4233 | 13.0 | 65 | 0.5913 | 0.825 |
67
+ | 0.3976 | 14.0 | 70 | 0.6852 | 0.8125 |
68
+ | 0.3976 | 15.0 | 75 | 0.6227 | 0.8125 |
69
+ | 0.3933 | 16.0 | 80 | 0.5550 | 0.825 |
70
+ | 0.3933 | 17.0 | 85 | 0.5438 | 0.8438 |
71
+ | 0.4359 | 18.0 | 90 | 0.5916 | 0.825 |
72
+ | 0.4359 | 19.0 | 95 | 0.6037 | 0.8063 |
73
+ | 0.3589 | 20.0 | 100 | 0.7102 | 0.8125 |
74
 
75
 
76
  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "juniorjukeko/emotion-classificationV3",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
 
1
  {
2
+ "_name_or_path": "/content/model/emotion-classificationV3/checkpoint-60",
3
  "architectures": [
4
  "ViTForImageClassification"
5
  ],
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1d9a633dcaef680ec996a8eb567e8554138f0e4bdd5de35f315684cba6d1e698
3
  size 343287149
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04f30b7dc66522f30e1d186ef4c8c4c2302b93983f2ce0f635a58239594fb422
3
  size 343287149
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d8be43ddea294794fc2f9e7887f3f8953eeeab61f8fd9fef6caa3cf4f7ee03f2
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0840394cdb529851241244c9003b00146049c48615d9e2f44f3ac73b2840ca5d
3
  size 4091