Training in progress, epoch 1
Browse files- config.json +60 -0
- preprocessor_config.json +28 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/beit-large-patch16-224",
|
3 |
+
"architectures": [
|
4 |
+
"BeitForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"auxiliary_channels": 256,
|
8 |
+
"auxiliary_concat_input": false,
|
9 |
+
"auxiliary_loss_weight": 0.4,
|
10 |
+
"auxiliary_num_convs": 1,
|
11 |
+
"drop_path_rate": 0.1,
|
12 |
+
"hidden_act": "gelu",
|
13 |
+
"hidden_dropout_prob": 0.0,
|
14 |
+
"hidden_size": 1024,
|
15 |
+
"id2label": {
|
16 |
+
"0": "HeadAbnormalities",
|
17 |
+
"1": "NeckAbnormalities",
|
18 |
+
"2": "Normal",
|
19 |
+
"3": "TailAbnormalities"
|
20 |
+
},
|
21 |
+
"image_size": 224,
|
22 |
+
"initializer_range": 0.02,
|
23 |
+
"intermediate_size": 4096,
|
24 |
+
"label2id": {
|
25 |
+
"HeadAbnormalities": "0",
|
26 |
+
"NeckAbnormalities": "1",
|
27 |
+
"Normal": "2",
|
28 |
+
"TailAbnormalities": "3"
|
29 |
+
},
|
30 |
+
"layer_norm_eps": 1e-12,
|
31 |
+
"layer_scale_init_value": 0.1,
|
32 |
+
"model_type": "beit",
|
33 |
+
"num_attention_heads": 16,
|
34 |
+
"num_channels": 3,
|
35 |
+
"num_hidden_layers": 24,
|
36 |
+
"out_indices": [
|
37 |
+
3,
|
38 |
+
5,
|
39 |
+
7,
|
40 |
+
11
|
41 |
+
],
|
42 |
+
"patch_size": 16,
|
43 |
+
"pool_scales": [
|
44 |
+
1,
|
45 |
+
2,
|
46 |
+
3,
|
47 |
+
6
|
48 |
+
],
|
49 |
+
"problem_type": "single_label_classification",
|
50 |
+
"semantic_loss_ignore_index": 255,
|
51 |
+
"torch_dtype": "float32",
|
52 |
+
"transformers_version": "4.32.1",
|
53 |
+
"use_absolute_position_embeddings": false,
|
54 |
+
"use_auxiliary_head": true,
|
55 |
+
"use_mask_token": false,
|
56 |
+
"use_mean_pooling": true,
|
57 |
+
"use_relative_position_bias": true,
|
58 |
+
"use_shared_relative_position_bias": false,
|
59 |
+
"vocab_size": 8192
|
60 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"crop_size": {
|
3 |
+
"height": 224,
|
4 |
+
"width": 224
|
5 |
+
},
|
6 |
+
"do_center_crop": false,
|
7 |
+
"do_normalize": true,
|
8 |
+
"do_reduce_labels": false,
|
9 |
+
"do_rescale": true,
|
10 |
+
"do_resize": true,
|
11 |
+
"image_mean": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"image_processor_type": "BeitImageProcessor",
|
17 |
+
"image_std": [
|
18 |
+
0.5,
|
19 |
+
0.5,
|
20 |
+
0.5
|
21 |
+
],
|
22 |
+
"resample": 2,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"height": 224,
|
26 |
+
"width": 224
|
27 |
+
}
|
28 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0cea322843a5c6339026401b680118d4c4660932e6931ef435a5e9caeb68fd92
|
3 |
+
size 1213789289
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:616ec90a6e6c1d75631242def9073265e21d1c0e611b4116186d2a7d1241fe43
|
3 |
+
size 4155
|