Augusto777
commited on
Commit
•
9444427
1
Parent(s):
74787fc
Model save
Browse files- README.md +70 -0
- config.json +36 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Apr25_10-42-39_DESKTOP-SKBE9FB/events.out.tfevents.1714063360.DESKTOP-SKBE9FB.12604.0 +3 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
metrics:
|
5 |
+
- accuracy
|
6 |
+
model-index:
|
7 |
+
- name: vit-base-patch16-224-dmae-va-U5-100bc
|
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 |
+
# vit-base-patch16-224-dmae-va-U5-100bc
|
15 |
+
|
16 |
+
This model was trained from scratch on an unknown dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 0.5346
|
19 |
+
- Accuracy: 0.85
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 5e-05
|
39 |
+
- train_batch_size: 32
|
40 |
+
- eval_batch_size: 32
|
41 |
+
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 4
|
43 |
+
- total_train_batch_size: 128
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_ratio: 0.05
|
47 |
+
- num_epochs: 10
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
53 |
+
| No log | 0.9 | 7 | 0.5017 | 0.8667 |
|
54 |
+
| 0.3168 | 1.94 | 15 | 0.5970 | 0.8 |
|
55 |
+
| 0.2613 | 2.97 | 23 | 0.5442 | 0.8167 |
|
56 |
+
| 0.222 | 4.0 | 31 | 0.7156 | 0.7667 |
|
57 |
+
| 0.222 | 4.9 | 38 | 0.5175 | 0.85 |
|
58 |
+
| 0.1783 | 5.94 | 46 | 0.6035 | 0.8167 |
|
59 |
+
| 0.168 | 6.97 | 54 | 0.5045 | 0.85 |
|
60 |
+
| 0.1456 | 8.0 | 62 | 0.4923 | 0.85 |
|
61 |
+
| 0.1456 | 8.9 | 69 | 0.5346 | 0.85 |
|
62 |
+
| 0.1236 | 9.03 | 70 | 0.5346 | 0.85 |
|
63 |
+
|
64 |
+
|
65 |
+
### Framework versions
|
66 |
+
|
67 |
+
- Transformers 4.36.2
|
68 |
+
- Pytorch 2.1.2+cu118
|
69 |
+
- Datasets 2.16.1
|
70 |
+
- Tokenizers 0.15.0
|
config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "vit-base-patch16-224-dmae-va-U5-100b\\checkpoint-100",
|
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": "avanzada",
|
13 |
+
"1": "leve",
|
14 |
+
"2": "moderada",
|
15 |
+
"3": "no dmae"
|
16 |
+
},
|
17 |
+
"image_size": 224,
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 3072,
|
20 |
+
"label2id": {
|
21 |
+
"avanzada": 0,
|
22 |
+
"leve": 1,
|
23 |
+
"moderada": 2,
|
24 |
+
"no dmae": 3
|
25 |
+
},
|
26 |
+
"layer_norm_eps": 1e-12,
|
27 |
+
"model_type": "vit",
|
28 |
+
"num_attention_heads": 12,
|
29 |
+
"num_channels": 3,
|
30 |
+
"num_hidden_layers": 12,
|
31 |
+
"patch_size": 16,
|
32 |
+
"problem_type": "single_label_classification",
|
33 |
+
"qkv_bias": true,
|
34 |
+
"torch_dtype": "float32",
|
35 |
+
"transformers_version": "4.36.2"
|
36 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:120a0417a0713fe75c311a3e609ac77adb86345612974d044bad53a11a1c17a5
|
3 |
+
size 343230128
|
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": "ViTImageProcessor",
|
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/Apr25_10-42-39_DESKTOP-SKBE9FB/events.out.tfevents.1714063360.DESKTOP-SKBE9FB.12604.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ef95abe139a01b86bf8e741c2067dd858b163a65785673e5d089acfde1297a0
|
3 |
+
size 9215
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ced0f50911af5396e7f670e4f5d283469978aa717c00dbe739bcd9d6ca27bd84
|
3 |
+
size 4792
|