Hugging Face's logo

Hilbs
/
Packaging-Model

Image Classification
Transformers
PyTorch
English
vit
Inference Endpoints
Model card Files Community
2

Upload folder using huggingface_hub

#1
by Hilbs - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+121
-0
Files changed (7) hide show
  1. all_results.json +8 -0
  2. config.json +34 -0
  3. preprocessor_config.json +22 -0
  4. pytorch_model.bin +3 -0
  5. train_results.json +8 -0
  6. trainer_state.json +43 -0
  7. training_args.bin +3 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 3.905631281199514e+16,
4
+ "train_loss": 0.34820668725296855,
5
+ "train_runtime": 967.8691,
6
+ "train_samples_per_second": 0.521,
7
+ "train_steps_per_second": 0.033
8
+ }
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "box",
13
+ "1": "empty",
14
+ "2": "polymailer"
15
+ },
16
+ "image_size": 224,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "box": "0",
21
+ "empty": "1",
22
+ "polymailer": "2"
23
+ },
24
+ "layer_norm_eps": 1e-12,
25
+ "model_type": "vit",
26
+ "num_attention_heads": 12,
27
+ "num_channels": 3,
28
+ "num_hidden_layers": 12,
29
+ "patch_size": 16,
30
+ "problem_type": "single_label_classification",
31
+ "qkv_bias": true,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.29.2"
34
+ }
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
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab774424513070cea0c5372eb774d0e5f8ed9af30eb1fa3f2547653f53df26c7
3
+ size 343269037
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 3.905631281199514e+16,
4
+ "train_loss": 0.34820668725296855,
5
+ "train_runtime": 967.8691,
6
+ "train_samples_per_second": 0.521,
7
+ "train_steps_per_second": 0.033
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.0,
5
+ "global_step": 32,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.25,
12
+ "learning_rate": 0.0001375,
13
+ "loss": 0.737,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 2.5,
18
+ "learning_rate": 7.500000000000001e-05,
19
+ "loss": 0.2549,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 3.75,
24
+ "learning_rate": 1.25e-05,
25
+ "loss": 0.1051,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 4.0,
30
+ "step": 32,
31
+ "total_flos": 3.905631281199514e+16,
32
+ "train_loss": 0.34820668725296855,
33
+ "train_runtime": 967.8691,
34
+ "train_samples_per_second": 0.521,
35
+ "train_steps_per_second": 0.033
36
+ }
37
+ ],
38
+ "max_steps": 32,
39
+ "num_train_epochs": 4,
40
+ "total_flos": 3.905631281199514e+16,
41
+ "trial_name": null,
42
+ "trial_params": null
43
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68bb8c2d47e87332455df33e52075be6ac0ee04daa3f6fd8e6074c2a72002aac
3
+ size 3899