Augusto777 commited on
Commit
f86d495
1 Parent(s): 80880ce

Training in progress, epoch 0

Browse files
config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/beit-base-patch16-224",
3
+ "add_fpn": false,
4
+ "architectures": [
5
+ "BeitForImageClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.0,
8
+ "auxiliary_channels": 256,
9
+ "auxiliary_concat_input": false,
10
+ "auxiliary_loss_weight": 0.4,
11
+ "auxiliary_num_convs": 1,
12
+ "drop_path_rate": 0.1,
13
+ "hidden_act": "gelu",
14
+ "hidden_dropout_prob": 0.0,
15
+ "hidden_size": 768,
16
+ "id2label": {
17
+ "0": "avanzada",
18
+ "1": "leve",
19
+ "2": "moderada",
20
+ "3": "no dmae"
21
+ },
22
+ "image_size": 224,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 3072,
25
+ "label2id": {
26
+ "avanzada": 0,
27
+ "leve": 1,
28
+ "moderada": 2,
29
+ "no dmae": 3
30
+ },
31
+ "layer_norm_eps": 1e-12,
32
+ "layer_scale_init_value": 0.1,
33
+ "model_type": "beit",
34
+ "num_attention_heads": 12,
35
+ "num_channels": 3,
36
+ "num_hidden_layers": 12,
37
+ "out_features": [
38
+ "stage12"
39
+ ],
40
+ "out_indices": [
41
+ 12
42
+ ],
43
+ "patch_size": 16,
44
+ "pool_scales": [
45
+ 1,
46
+ 2,
47
+ 3,
48
+ 6
49
+ ],
50
+ "problem_type": "single_label_classification",
51
+ "reshape_hidden_states": true,
52
+ "semantic_loss_ignore_index": 255,
53
+ "stage_names": [
54
+ "stem",
55
+ "stage1",
56
+ "stage2",
57
+ "stage3",
58
+ "stage4",
59
+ "stage5",
60
+ "stage6",
61
+ "stage7",
62
+ "stage8",
63
+ "stage9",
64
+ "stage10",
65
+ "stage11",
66
+ "stage12"
67
+ ],
68
+ "torch_dtype": "float32",
69
+ "transformers_version": "4.40.0",
70
+ "use_absolute_position_embeddings": false,
71
+ "use_auxiliary_head": true,
72
+ "use_mask_token": false,
73
+ "use_mean_pooling": true,
74
+ "use_relative_position_bias": true,
75
+ "use_shared_relative_position_bias": false,
76
+ "vocab_size": 8192
77
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7d9df641b46319504e338353c58f0e7c5524d33085f7d0b0ecc76566be89938
3
+ size 343086480
preprocessor_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_valid_processor_keys": [
3
+ "images",
4
+ "segmentation_maps",
5
+ "do_resize",
6
+ "size",
7
+ "resample",
8
+ "do_center_crop",
9
+ "crop_size",
10
+ "do_rescale",
11
+ "rescale_factor",
12
+ "do_normalize",
13
+ "image_mean",
14
+ "image_std",
15
+ "do_reduce_labels",
16
+ "return_tensors",
17
+ "data_format",
18
+ "input_data_format"
19
+ ],
20
+ "crop_size": {
21
+ "height": 224,
22
+ "width": 224
23
+ },
24
+ "do_center_crop": false,
25
+ "do_normalize": true,
26
+ "do_reduce_labels": false,
27
+ "do_rescale": true,
28
+ "do_resize": true,
29
+ "image_mean": [
30
+ 0.5,
31
+ 0.5,
32
+ 0.5
33
+ ],
34
+ "image_processor_type": "BeitImageProcessor",
35
+ "image_std": [
36
+ 0.5,
37
+ 0.5,
38
+ 0.5
39
+ ],
40
+ "resample": 2,
41
+ "rescale_factor": 0.00392156862745098,
42
+ "size": {
43
+ "height": 224,
44
+ "width": 224
45
+ }
46
+ }
runs/Apr24_21-59-22_47b2fe407df5/events.out.tfevents.1713995971.47b2fe407df5.3334.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81ccd2e4e54ba6d5153e21f315538224089b1f22286a732d34ed8213691dd02c
3
+ size 5969
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6ee05c22666e52dda4750146f53f4f4d5a7cad296625babeae4ccf33d4be0dc
3
+ size 5048