arpanl commited on
Commit
1e0396f
·
verified ·
1 Parent(s): b065e9e

Model save

Browse files
README.md ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ datasets:
5
+ - imagefolder
6
+ model-index:
7
+ - name: Model2
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # Model2
15
+
16
+ This model was trained from scratch on the imagefolder dataset.
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 5e-05
36
+ - train_batch_size: 32
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
40
+ - lr_scheduler_type: linear
41
+ - num_epochs: 30
42
+
43
+ ### Training results
44
+
45
+
46
+
47
+ ### Framework versions
48
+
49
+ - Transformers 4.37.2
50
+ - Pytorch 2.1.0+cu121
51
+ - Datasets 2.16.1
52
+ - Tokenizers 0.15.1
config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/content/drive/MyDrive/Model",
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": "boat",
13
+ "1": "children",
14
+ "2": "dogs",
15
+ "3": "fireman",
16
+ "4": "firetruck",
17
+ "5": "mountains",
18
+ "6": "people",
19
+ "7": "river",
20
+ "8": "snow",
21
+ "9": "stairs",
22
+ "10": "water"
23
+ },
24
+ "image_size": 224,
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 3072,
27
+ "label2id": {
28
+ "boat": "0",
29
+ "children": "1",
30
+ "dogs": "2",
31
+ "fireman": "3",
32
+ "firetruck": "4",
33
+ "mountains": "5",
34
+ "people": "6",
35
+ "river": "7",
36
+ "snow": "8",
37
+ "stairs": "9",
38
+ "water": "10"
39
+ },
40
+ "layer_norm_eps": 1e-12,
41
+ "model_type": "vit",
42
+ "num_attention_heads": 12,
43
+ "num_channels": 3,
44
+ "num_hidden_layers": 12,
45
+ "patch_size": 16,
46
+ "problem_type": "single_label_classification",
47
+ "qkv_bias": true,
48
+ "torch_dtype": "float32",
49
+ "transformers_version": "4.37.2"
50
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:07ec438081252cfc4f29b9e61d5343c488d7a7df47c1bb46500961a7f4aea884
3
+ size 343251660
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
runs/Feb01_07-13-23_b6a4cb5abd69/events.out.tfevents.1706771640.b6a4cb5abd69.693.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19089c087719a94eb303b33782951b99c75a94784e64e127fc60636429164def
3
+ size 5168
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:496b2ccd425eceea600eab34f60840a671c6361d1b51de7af8d6c2b5ffb7cb8d
3
+ size 4728