Hugging Face's logo

JuIm
/
ViT-Breast-Cancer

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
JuIm commited on
Commit
ec6967f
•
1 Parent(s): 518151e

End of training

Browse files
Files changed (10) hide show
  1. README.md +55 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +36 -0
  5. runs/Jun21_13-57-38_d6e7db806c7a/events.out.tfevents.1718978287.d6e7db806c7a.2202.1 +3 -0
  6. runs/Jun21_13-58-42_d6e7db806c7a/events.out.tfevents.1718978326.d6e7db806c7a.2202.2 +3 -0
  7. runs/Jun21_14-03-34_d6e7db806c7a/events.out.tfevents.1718978617.d6e7db806c7a.2202.3 +3 -0
  8. runs/Jun21_14-04-21_d6e7db806c7a/events.out.tfevents.1718978664.d6e7db806c7a.2202.4 +3 -0
  9. runs/Jun21_14-10-12_d6e7db806c7a/events.out.tfevents.1718979020.d6e7db806c7a.2202.5 +3 -0
  10. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-base-patch16-224-in21k
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ model-index:
9
+ - name: vit-base-beans
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # vit-base-beans
17
+
18
+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.0002
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - training_steps: 80
44
+ - mixed_precision_training: Native AMP
45
+
46
+ ### Training results
47
+
48
+
49
+
50
+ ### Framework versions
51
+
52
+ - Transformers 4.42.0.dev0
53
+ - Pytorch 2.3.0+cu121
54
+ - Datasets 2.20.0
55
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-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": "benign",
13
+ "1": "malignant"
14
+ },
15
+ "image_size": 224,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "benign": "0",
20
+ "malignant": "1"
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": 16,
28
+ "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.42.0.dev0"
32
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbbe7ec8d1875c84f27c013f81faaa6c49461ab4e8e60e0bd3925b5062ad39d3
3
+ size 343223968
preprocessor_config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "do_resize",
5
+ "size",
6
+ "resample",
7
+ "do_rescale",
8
+ "rescale_factor",
9
+ "do_normalize",
10
+ "image_mean",
11
+ "image_std",
12
+ "return_tensors",
13
+ "data_format",
14
+ "input_data_format"
15
+ ],
16
+ "do_normalize": true,
17
+ "do_rescale": true,
18
+ "do_resize": true,
19
+ "image_mean": [
20
+ 0.5,
21
+ 0.5,
22
+ 0.5
23
+ ],
24
+ "image_processor_type": "ViTImageProcessor",
25
+ "image_std": [
26
+ 0.5,
27
+ 0.5,
28
+ 0.5
29
+ ],
30
+ "resample": 2,
31
+ "rescale_factor": 0.00392156862745098,
32
+ "size": {
33
+ "height": 224,
34
+ "width": 224
35
+ }
36
+ }
runs/Jun21_13-57-38_d6e7db806c7a/events.out.tfevents.1718978287.d6e7db806c7a.2202.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44318068c69a8688b202d0e9a2f07d4556c3850f33083716117d96e1e7cb5316
3
+ size 4836
runs/Jun21_13-58-42_d6e7db806c7a/events.out.tfevents.1718978326.d6e7db806c7a.2202.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01b3a12b19b296703eb1a86a9675a280d58e50017f18d6d3a8038bc09ef754e5
3
+ size 6906
runs/Jun21_14-03-34_d6e7db806c7a/events.out.tfevents.1718978617.d6e7db806c7a.2202.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:528ed4aa4dc91aec72b51d80d6646dec1ea795d2dc7f87e13009519ab73816d2
3
+ size 4881
runs/Jun21_14-04-21_d6e7db806c7a/events.out.tfevents.1718978664.d6e7db806c7a.2202.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aad481c806fd21a2c7b4d0c970d754ad4f75c9fe1afca74966417e73f10ad832
3
+ size 7363
runs/Jun21_14-10-12_d6e7db806c7a/events.out.tfevents.1718979020.d6e7db806c7a.2202.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f90b190e85abf345c46d69015b92000aae76ef043251a3f45e29ea2b22f29c96
3
+ size 6930
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe5985b4ff2844b65a057081f6f1331018ca92da5fa44172e29598acc2cf2525
3
+ size 5112