Hugging Face's logo

prithivMLmods
/
Deepfake-QualityAssess-88M

Image Classification
Transformers
Safetensors
English
vit
Deepfake
Inference Endpoints
Model card Files Community
prithivMLmods commited on
Commit
478b4ee
·
verified ·
1 Parent(s): b91a997

Add files using upload-large-folder tool

Browse files
Files changed (13) hide show
  1. README.md +10 -0
  2. checkpoint-2115/config.json +32 -0
  3. checkpoint-2115/model.safetensors +3 -0
  4. checkpoint-2115/optimizer.pt +3 -0
  5. checkpoint-2115/preprocessor_config.json +23 -0
  6. checkpoint-2115/rng_state.pth +3 -0
  7. checkpoint-2115/scheduler.pt +3 -0
  8. checkpoint-2115/trainer_state.json +211 -0
  9. checkpoint-2115/training_args.bin +3 -0
  10. config.json +32 -0
  11. model.safetensors +3 -0
  12. preprocessor_config.json +23 -0
  13. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ Classification report:
2
+
3
+ precision recall f1-score support
4
+
5
+ Issue In Deepfake 0.7560 0.7467 0.7513 1500
6
+ High Quality Deepfake 0.7365 0.7473 0.7418 1500
7
+
8
+ accuracy 0.7467 3000
9
+ macro avg 0.7463 0.7470 0.7465 3000
10
+ weighted avg 0.7463 0.7470 0.7465 3000
checkpoint-2115/config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch32-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "Issue In Deepfake",
13
+ "1": "High Quality Deepfake"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "High Quality Deepfake": 1,
20
+ "Issue In Deepfake": 0
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "model_type": "vit",
24
+ "num_attention_heads": 12,
25
+ "num_channels": 3,
26
+ "num_hidden_layers": 12,
27
+ "patch_size": 32,
28
+ "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.48.3"
32
+ }
checkpoint-2115/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:566ce335722882aa7d2d72e0f0e157b8558ea76d910f976af7b64e9cbe5c2e07
3
+ size 349850288
checkpoint-2115/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1eeed682e43a4d3cdd775235782fd32bab7350e44e480b08bae27fac75e4cce
3
+ size 699821498
checkpoint-2115/preprocessor_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": null,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.5,
8
+ 0.5,
9
+ 0.5
10
+ ],
11
+ "image_processor_type": "ViTImageProcessor",
12
+ "image_std": [
13
+ 0.5,
14
+ 0.5,
15
+ 0.5
16
+ ],
17
+ "resample": 2,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "height": 224,
21
+ "width": 224
22
+ }
23
+ }
checkpoint-2115/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fe25f3fb0bb89a2e42fa3b948c182ed82ac67be47478a3b3c94749b849386b5
3
+ size 14244
checkpoint-2115/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ef6844524f76b654e1f0701b8575c3884467f1fa581d57246486aa5c4bcca59
3
+ size 1064
checkpoint-2115/trainer_state.json ADDED
@@ -0,0 +1,211 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.649810791015625,
3
+ "best_model_checkpoint": "Mini1/checkpoint-2115",
4
+ "epoch": 15.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2115,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_accuracy": 0.547,
14
+ "eval_loss": 0.6880395412445068,
15
+ "eval_model_preparation_time": 0.005,
16
+ "eval_runtime": 112.2718,
17
+ "eval_samples_per_second": 26.721,
18
+ "eval_steps_per_second": 3.34,
19
+ "step": 141
20
+ },
21
+ {
22
+ "epoch": 2.0,
23
+ "eval_accuracy": 0.5726666666666667,
24
+ "eval_loss": 0.6837833523750305,
25
+ "eval_model_preparation_time": 0.005,
26
+ "eval_runtime": 112.5422,
27
+ "eval_samples_per_second": 26.657,
28
+ "eval_steps_per_second": 3.332,
29
+ "step": 282
30
+ },
31
+ {
32
+ "epoch": 3.0,
33
+ "eval_accuracy": 0.585,
34
+ "eval_loss": 0.6800764203071594,
35
+ "eval_model_preparation_time": 0.005,
36
+ "eval_runtime": 111.4621,
37
+ "eval_samples_per_second": 26.915,
38
+ "eval_steps_per_second": 3.364,
39
+ "step": 423
40
+ },
41
+ {
42
+ "epoch": 3.546099290780142,
43
+ "grad_norm": 1.161911964416504,
44
+ "learning_rate": 2.3462469733656172e-06,
45
+ "loss": 0.683,
46
+ "step": 500
47
+ },
48
+ {
49
+ "epoch": 4.0,
50
+ "eval_accuracy": 0.5946666666666667,
51
+ "eval_loss": 0.6763002276420593,
52
+ "eval_model_preparation_time": 0.005,
53
+ "eval_runtime": 111.1101,
54
+ "eval_samples_per_second": 27.0,
55
+ "eval_steps_per_second": 3.375,
56
+ "step": 564
57
+ },
58
+ {
59
+ "epoch": 5.0,
60
+ "eval_accuracy": 0.6016666666666667,
61
+ "eval_loss": 0.6708868145942688,
62
+ "eval_model_preparation_time": 0.005,
63
+ "eval_runtime": 111.8262,
64
+ "eval_samples_per_second": 26.827,
65
+ "eval_steps_per_second": 3.353,
66
+ "step": 705
67
+ },
68
+ {
69
+ "epoch": 6.0,
70
+ "eval_accuracy": 0.6096666666666667,
71
+ "eval_loss": 0.6672160029411316,
72
+ "eval_model_preparation_time": 0.005,
73
+ "eval_runtime": 111.2194,
74
+ "eval_samples_per_second": 26.974,
75
+ "eval_steps_per_second": 3.372,
76
+ "step": 846
77
+ },
78
+ {
79
+ "epoch": 7.0,
80
+ "eval_accuracy": 0.614,
81
+ "eval_loss": 0.6639660000801086,
82
+ "eval_model_preparation_time": 0.005,
83
+ "eval_runtime": 110.4557,
84
+ "eval_samples_per_second": 27.16,
85
+ "eval_steps_per_second": 3.395,
86
+ "step": 987
87
+ },
88
+ {
89
+ "epoch": 7.092198581560283,
90
+ "grad_norm": 1.005659580230713,
91
+ "learning_rate": 1.6198547215496368e-06,
92
+ "loss": 0.6577,
93
+ "step": 1000
94
+ },
95
+ {
96
+ "epoch": 8.0,
97
+ "eval_accuracy": 0.6206666666666667,
98
+ "eval_loss": 0.6594681143760681,
99
+ "eval_model_preparation_time": 0.005,
100
+ "eval_runtime": 111.5164,
101
+ "eval_samples_per_second": 26.902,
102
+ "eval_steps_per_second": 3.363,
103
+ "step": 1128
104
+ },
105
+ {
106
+ "epoch": 9.0,
107
+ "eval_accuracy": 0.6236666666666667,
108
+ "eval_loss": 0.6565166115760803,
109
+ "eval_model_preparation_time": 0.005,
110
+ "eval_runtime": 111.7042,
111
+ "eval_samples_per_second": 26.857,
112
+ "eval_steps_per_second": 3.357,
113
+ "step": 1269
114
+ },
115
+ {
116
+ "epoch": 10.0,
117
+ "eval_accuracy": 0.6263333333333333,
118
+ "eval_loss": 0.6543797254562378,
119
+ "eval_model_preparation_time": 0.005,
120
+ "eval_runtime": 111.6108,
121
+ "eval_samples_per_second": 26.879,
122
+ "eval_steps_per_second": 3.36,
123
+ "step": 1410
124
+ },
125
+ {
126
+ "epoch": 10.638297872340425,
127
+ "grad_norm": 1.2223618030548096,
128
+ "learning_rate": 8.934624697336562e-07,
129
+ "loss": 0.6354,
130
+ "step": 1500
131
+ },
132
+ {
133
+ "epoch": 11.0,
134
+ "eval_accuracy": 0.6266666666666667,
135
+ "eval_loss": 0.6527488231658936,
136
+ "eval_model_preparation_time": 0.005,
137
+ "eval_runtime": 112.1575,
138
+ "eval_samples_per_second": 26.748,
139
+ "eval_steps_per_second": 3.344,
140
+ "step": 1551
141
+ },
142
+ {
143
+ "epoch": 12.0,
144
+ "eval_accuracy": 0.6266666666666667,
145
+ "eval_loss": 0.6514540314674377,
146
+ "eval_model_preparation_time": 0.005,
147
+ "eval_runtime": 111.5028,
148
+ "eval_samples_per_second": 26.905,
149
+ "eval_steps_per_second": 3.363,
150
+ "step": 1692
151
+ },
152
+ {
153
+ "epoch": 13.0,
154
+ "eval_accuracy": 0.6293333333333333,
155
+ "eval_loss": 0.6505149602890015,
156
+ "eval_model_preparation_time": 0.005,
157
+ "eval_runtime": 111.5644,
158
+ "eval_samples_per_second": 26.89,
159
+ "eval_steps_per_second": 3.361,
160
+ "step": 1833
161
+ },
162
+ {
163
+ "epoch": 14.0,
164
+ "eval_accuracy": 0.629,
165
+ "eval_loss": 0.6500213742256165,
166
+ "eval_model_preparation_time": 0.005,
167
+ "eval_runtime": 111.5318,
168
+ "eval_samples_per_second": 26.898,
169
+ "eval_steps_per_second": 3.362,
170
+ "step": 1974
171
+ },
172
+ {
173
+ "epoch": 14.184397163120567,
174
+ "grad_norm": 1.6594271659851074,
175
+ "learning_rate": 1.6707021791767554e-07,
176
+ "loss": 0.6247,
177
+ "step": 2000
178
+ },
179
+ {
180
+ "epoch": 15.0,
181
+ "eval_accuracy": 0.6293333333333333,
182
+ "eval_loss": 0.649810791015625,
183
+ "eval_model_preparation_time": 0.005,
184
+ "eval_runtime": 111.6287,
185
+ "eval_samples_per_second": 26.875,
186
+ "eval_steps_per_second": 3.359,
187
+ "step": 2115
188
+ }
189
+ ],
190
+ "logging_steps": 500,
191
+ "max_steps": 2115,
192
+ "num_input_tokens_seen": 0,
193
+ "num_train_epochs": 15,
194
+ "save_steps": 500,
195
+ "stateful_callbacks": {
196
+ "TrainerControl": {
197
+ "args": {
198
+ "should_epoch_stop": false,
199
+ "should_evaluate": false,
200
+ "should_log": false,
201
+ "should_save": true,
202
+ "should_training_stop": true
203
+ },
204
+ "attributes": {}
205
+ }
206
+ },
207
+ "total_flos": 5.3317005331968e+18,
208
+ "train_batch_size": 32,
209
+ "trial_name": null,
210
+ "trial_params": null
211
+ }
checkpoint-2115/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0230328d600e2ef93d87ed436f2aa3fc2ea9129b7d62c4beeed3162feac3a4d
3
+ size 5240
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch32-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "Issue In Deepfake",
13
+ "1": "High Quality Deepfake"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "High Quality Deepfake": 1,
20
+ "Issue In Deepfake": 0
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "model_type": "vit",
24
+ "num_attention_heads": 12,
25
+ "num_channels": 3,
26
+ "num_hidden_layers": 12,
27
+ "patch_size": 32,
28
+ "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.48.3"
32
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:566ce335722882aa7d2d72e0f0e157b8558ea76d910f976af7b64e9cbe5c2e07
3
+ size 349850288
preprocessor_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": null,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.5,
8
+ 0.5,
9
+ 0.5
10
+ ],
11
+ "image_processor_type": "ViTImageProcessor",
12
+ "image_std": [
13
+ 0.5,
14
+ 0.5,
15
+ 0.5
16
+ ],
17
+ "resample": 2,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "height": 224,
21
+ "width": 224
22
+ }
23
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0230328d600e2ef93d87ed436f2aa3fc2ea9129b7d62c4beeed3162feac3a4d
3
+ size 5240