Upload folder using huggingface_hub
Browse files- README.md +41 -0
- checkpoint-36/config.json +37 -0
- checkpoint-36/model.safetensors +3 -0
- checkpoint-36/optimizer.pt +3 -0
- checkpoint-36/rng_state.pth +3 -0
- checkpoint-36/scheduler.pt +3 -0
- checkpoint-36/trainer_state.json +330 -0
- checkpoint-36/training_args.bin +3 -0
- config.json +37 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Oct13_22-05-20_r-coan-design-2025-96s2irau-1b6c1-m4mof/events.out.tfevents.1728857122.r-coan-design-2025-96s2irau-1b6c1-m4mof.192.0 +2 -2
- runs/Oct13_22-05-20_r-coan-design-2025-96s2irau-1b6c1-m4mof/events.out.tfevents.1728857633.r-coan-design-2025-96s2irau-1b6c1-m4mof.192.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- image-classification
|
6 |
+
base_model: google/vit-large-patch16-224
|
7 |
+
widget:
|
8 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
9 |
+
example_title: Tiger
|
10 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
11 |
+
example_title: Teapot
|
12 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
13 |
+
example_title: Palace
|
14 |
+
---
|
15 |
+
|
16 |
+
# Model Trained Using AutoTrain
|
17 |
+
|
18 |
+
- Problem type: Image Classification
|
19 |
+
|
20 |
+
## Validation Metrics
|
21 |
+
loss: 0.2903565764427185
|
22 |
+
|
23 |
+
f1_macro: 0.8999999999999999
|
24 |
+
|
25 |
+
f1_micro: 0.8888888888888888
|
26 |
+
|
27 |
+
f1_weighted: 0.8888888888888888
|
28 |
+
|
29 |
+
precision_macro: 0.9166666666666666
|
30 |
+
|
31 |
+
precision_micro: 0.8888888888888888
|
32 |
+
|
33 |
+
precision_weighted: 0.9259259259259258
|
34 |
+
|
35 |
+
recall_macro: 0.9166666666666666
|
36 |
+
|
37 |
+
recall_micro: 0.8888888888888888
|
38 |
+
|
39 |
+
recall_weighted: 0.8888888888888888
|
40 |
+
|
41 |
+
accuracy: 0.8888888888888888
|
checkpoint-36/config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224",
|
3 |
+
"_num_labels": 4,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"id2label": {
|
13 |
+
"0": "collage_album_style_art",
|
14 |
+
"1": "illustration_scribble",
|
15 |
+
"2": "maximalism_style_art",
|
16 |
+
"3": "pixel_art"
|
17 |
+
},
|
18 |
+
"image_size": 224,
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 4096,
|
21 |
+
"label2id": {
|
22 |
+
"collage_album_style_art": 0,
|
23 |
+
"illustration_scribble": 1,
|
24 |
+
"maximalism_style_art": 2,
|
25 |
+
"pixel_art": 3
|
26 |
+
},
|
27 |
+
"layer_norm_eps": 1e-12,
|
28 |
+
"model_type": "vit",
|
29 |
+
"num_attention_heads": 16,
|
30 |
+
"num_channels": 3,
|
31 |
+
"num_hidden_layers": 24,
|
32 |
+
"patch_size": 16,
|
33 |
+
"problem_type": "single_label_classification",
|
34 |
+
"qkv_bias": true,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.45.0"
|
37 |
+
}
|
checkpoint-36/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a9910f683e05b92fa183e28a6c4ca8c289679a8137262cd0d0c5a224405084e
|
3 |
+
size 1213269472
|
checkpoint-36/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e154acb6d360e7cc4495f159bd8d728237ab646b0afdbf3fe40e6e59b577c4c3
|
3 |
+
size 2426762922
|
checkpoint-36/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0277a0bc23f19eb23264adcb6fb7b11bcc7871da0568a9455ee85a551ad129e1
|
3 |
+
size 13990
|
checkpoint-36/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c39b2c4177cd3643927567ca10ccf38692d0987fb5da9d5278fd3d17301226c4
|
3 |
+
size 1064
|
checkpoint-36/trainer_state.json
ADDED
@@ -0,0 +1,330 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.2903565764427185,
|
3 |
+
"best_model_checkpoint": "designTrends/checkpoint-36",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 36,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05555555555555555,
|
13 |
+
"grad_norm": 31.24921989440918,
|
14 |
+
"learning_rate": 8.333333333333334e-06,
|
15 |
+
"loss": 1.6824,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.1111111111111111,
|
20 |
+
"grad_norm": 20.90537452697754,
|
21 |
+
"learning_rate": 1.6666666666666667e-05,
|
22 |
+
"loss": 1.1182,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.16666666666666666,
|
27 |
+
"grad_norm": 37.51194763183594,
|
28 |
+
"learning_rate": 2.5e-05,
|
29 |
+
"loss": 2.1944,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.2222222222222222,
|
34 |
+
"grad_norm": 30.805044174194336,
|
35 |
+
"learning_rate": 3.3333333333333335e-05,
|
36 |
+
"loss": 1.8025,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.2777777777777778,
|
41 |
+
"grad_norm": 15.017728805541992,
|
42 |
+
"learning_rate": 4.166666666666667e-05,
|
43 |
+
"loss": 0.4371,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.3333333333333333,
|
48 |
+
"grad_norm": 37.36845016479492,
|
49 |
+
"learning_rate": 5e-05,
|
50 |
+
"loss": 2.3815,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.3888888888888889,
|
55 |
+
"grad_norm": 36.02885818481445,
|
56 |
+
"learning_rate": 4.8958333333333335e-05,
|
57 |
+
"loss": 1.3463,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.4444444444444444,
|
62 |
+
"grad_norm": 34.15700149536133,
|
63 |
+
"learning_rate": 4.791666666666667e-05,
|
64 |
+
"loss": 2.0606,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.5,
|
69 |
+
"grad_norm": 30.92742347717285,
|
70 |
+
"learning_rate": 4.6875e-05,
|
71 |
+
"loss": 1.2667,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.5555555555555556,
|
76 |
+
"grad_norm": 17.669174194335938,
|
77 |
+
"learning_rate": 4.5833333333333334e-05,
|
78 |
+
"loss": 0.7387,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.6111111111111112,
|
83 |
+
"grad_norm": 21.606388092041016,
|
84 |
+
"learning_rate": 4.4791666666666673e-05,
|
85 |
+
"loss": 1.0753,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.6666666666666666,
|
90 |
+
"grad_norm": 11.96320629119873,
|
91 |
+
"learning_rate": 4.375e-05,
|
92 |
+
"loss": 0.4321,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.7222222222222222,
|
97 |
+
"grad_norm": 28.005523681640625,
|
98 |
+
"learning_rate": 4.270833333333333e-05,
|
99 |
+
"loss": 1.7522,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.7777777777777778,
|
104 |
+
"grad_norm": 13.161625862121582,
|
105 |
+
"learning_rate": 4.166666666666667e-05,
|
106 |
+
"loss": 0.4633,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.8333333333333334,
|
111 |
+
"grad_norm": 30.44942283630371,
|
112 |
+
"learning_rate": 4.0625000000000005e-05,
|
113 |
+
"loss": 1.2798,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.8888888888888888,
|
118 |
+
"grad_norm": 18.832170486450195,
|
119 |
+
"learning_rate": 3.958333333333333e-05,
|
120 |
+
"loss": 0.6956,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.9444444444444444,
|
125 |
+
"grad_norm": 8.636096000671387,
|
126 |
+
"learning_rate": 3.854166666666667e-05,
|
127 |
+
"loss": 0.2504,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.0,
|
132 |
+
"grad_norm": 4.477694511413574,
|
133 |
+
"learning_rate": 3.7500000000000003e-05,
|
134 |
+
"loss": 0.0766,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.0,
|
139 |
+
"eval_accuracy": 0.7777777777777778,
|
140 |
+
"eval_f1_macro": 0.6875,
|
141 |
+
"eval_f1_micro": 0.7777777777777778,
|
142 |
+
"eval_f1_weighted": 0.6944444444444444,
|
143 |
+
"eval_loss": 1.071279525756836,
|
144 |
+
"eval_precision_macro": 0.65,
|
145 |
+
"eval_precision_micro": 0.7777777777777778,
|
146 |
+
"eval_precision_weighted": 0.6444444444444444,
|
147 |
+
"eval_recall_macro": 0.75,
|
148 |
+
"eval_recall_micro": 0.7777777777777778,
|
149 |
+
"eval_recall_weighted": 0.7777777777777778,
|
150 |
+
"eval_runtime": 10.4277,
|
151 |
+
"eval_samples_per_second": 0.863,
|
152 |
+
"eval_steps_per_second": 0.288,
|
153 |
+
"step": 18
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 1.0555555555555556,
|
157 |
+
"grad_norm": 11.063207626342773,
|
158 |
+
"learning_rate": 3.6458333333333336e-05,
|
159 |
+
"loss": 0.2519,
|
160 |
+
"step": 19
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 1.1111111111111112,
|
164 |
+
"grad_norm": 11.03740406036377,
|
165 |
+
"learning_rate": 3.541666666666667e-05,
|
166 |
+
"loss": 0.2958,
|
167 |
+
"step": 20
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.1666666666666667,
|
171 |
+
"grad_norm": 1.8288331031799316,
|
172 |
+
"learning_rate": 3.4375e-05,
|
173 |
+
"loss": 0.0406,
|
174 |
+
"step": 21
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.2222222222222223,
|
178 |
+
"grad_norm": 31.19927215576172,
|
179 |
+
"learning_rate": 3.3333333333333335e-05,
|
180 |
+
"loss": 1.0578,
|
181 |
+
"step": 22
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.2777777777777777,
|
185 |
+
"grad_norm": 5.91452693939209,
|
186 |
+
"learning_rate": 3.229166666666667e-05,
|
187 |
+
"loss": 0.1396,
|
188 |
+
"step": 23
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.3333333333333333,
|
192 |
+
"grad_norm": 28.180068969726562,
|
193 |
+
"learning_rate": 3.125e-05,
|
194 |
+
"loss": 0.9014,
|
195 |
+
"step": 24
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 1.3888888888888888,
|
199 |
+
"grad_norm": 6.710000038146973,
|
200 |
+
"learning_rate": 3.0208333333333334e-05,
|
201 |
+
"loss": 0.1434,
|
202 |
+
"step": 25
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 1.4444444444444444,
|
206 |
+
"grad_norm": 1.4782997369766235,
|
207 |
+
"learning_rate": 2.916666666666667e-05,
|
208 |
+
"loss": 0.033,
|
209 |
+
"step": 26
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.5,
|
213 |
+
"grad_norm": 10.041507720947266,
|
214 |
+
"learning_rate": 2.8125000000000003e-05,
|
215 |
+
"loss": 0.2318,
|
216 |
+
"step": 27
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.5555555555555556,
|
220 |
+
"grad_norm": 15.513708114624023,
|
221 |
+
"learning_rate": 2.7083333333333332e-05,
|
222 |
+
"loss": 0.4245,
|
223 |
+
"step": 28
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 1.6111111111111112,
|
227 |
+
"grad_norm": 5.358726978302002,
|
228 |
+
"learning_rate": 2.604166666666667e-05,
|
229 |
+
"loss": 0.1601,
|
230 |
+
"step": 29
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.6666666666666665,
|
234 |
+
"grad_norm": 1.7197539806365967,
|
235 |
+
"learning_rate": 2.5e-05,
|
236 |
+
"loss": 0.042,
|
237 |
+
"step": 30
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 1.7222222222222223,
|
241 |
+
"grad_norm": 0.5361698865890503,
|
242 |
+
"learning_rate": 2.3958333333333334e-05,
|
243 |
+
"loss": 0.0149,
|
244 |
+
"step": 31
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 1.7777777777777777,
|
248 |
+
"grad_norm": 4.341958522796631,
|
249 |
+
"learning_rate": 2.2916666666666667e-05,
|
250 |
+
"loss": 0.1039,
|
251 |
+
"step": 32
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.8333333333333335,
|
255 |
+
"grad_norm": 20.135475158691406,
|
256 |
+
"learning_rate": 2.1875e-05,
|
257 |
+
"loss": 0.5532,
|
258 |
+
"step": 33
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.8888888888888888,
|
262 |
+
"grad_norm": 0.5918666124343872,
|
263 |
+
"learning_rate": 2.0833333333333336e-05,
|
264 |
+
"loss": 0.0155,
|
265 |
+
"step": 34
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 1.9444444444444444,
|
269 |
+
"grad_norm": 2.947694778442383,
|
270 |
+
"learning_rate": 1.9791666666666665e-05,
|
271 |
+
"loss": 0.0862,
|
272 |
+
"step": 35
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.0,
|
276 |
+
"grad_norm": 0.9083338379859924,
|
277 |
+
"learning_rate": 1.8750000000000002e-05,
|
278 |
+
"loss": 0.0167,
|
279 |
+
"step": 36
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 2.0,
|
283 |
+
"eval_accuracy": 0.8888888888888888,
|
284 |
+
"eval_f1_macro": 0.8999999999999999,
|
285 |
+
"eval_f1_micro": 0.8888888888888888,
|
286 |
+
"eval_f1_weighted": 0.8888888888888888,
|
287 |
+
"eval_loss": 0.2903565764427185,
|
288 |
+
"eval_precision_macro": 0.9166666666666666,
|
289 |
+
"eval_precision_micro": 0.8888888888888888,
|
290 |
+
"eval_precision_weighted": 0.9259259259259258,
|
291 |
+
"eval_recall_macro": 0.9166666666666666,
|
292 |
+
"eval_recall_micro": 0.8888888888888888,
|
293 |
+
"eval_recall_weighted": 0.8888888888888888,
|
294 |
+
"eval_runtime": 9.5629,
|
295 |
+
"eval_samples_per_second": 0.941,
|
296 |
+
"eval_steps_per_second": 0.314,
|
297 |
+
"step": 36
|
298 |
+
}
|
299 |
+
],
|
300 |
+
"logging_steps": 1,
|
301 |
+
"max_steps": 54,
|
302 |
+
"num_input_tokens_seen": 0,
|
303 |
+
"num_train_epochs": 3,
|
304 |
+
"save_steps": 500,
|
305 |
+
"stateful_callbacks": {
|
306 |
+
"EarlyStoppingCallback": {
|
307 |
+
"args": {
|
308 |
+
"early_stopping_patience": 5,
|
309 |
+
"early_stopping_threshold": 0.01
|
310 |
+
},
|
311 |
+
"attributes": {
|
312 |
+
"early_stopping_patience_counter": 0
|
313 |
+
}
|
314 |
+
},
|
315 |
+
"TrainerControl": {
|
316 |
+
"args": {
|
317 |
+
"should_epoch_stop": false,
|
318 |
+
"should_evaluate": false,
|
319 |
+
"should_log": false,
|
320 |
+
"should_save": true,
|
321 |
+
"should_training_stop": false
|
322 |
+
},
|
323 |
+
"attributes": {}
|
324 |
+
}
|
325 |
+
},
|
326 |
+
"total_flos": 1.917552219512832e+16,
|
327 |
+
"train_batch_size": 2,
|
328 |
+
"trial_name": null,
|
329 |
+
"trial_params": null
|
330 |
+
}
|
checkpoint-36/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f56fd31f2f5d06f1b64f4b97452f2a3d1998b922cce7a6a2a098dd0a45b18f71
|
3 |
+
size 5240
|
config.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224",
|
3 |
+
"_num_labels": 4,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"id2label": {
|
13 |
+
"0": "collage_album_style_art",
|
14 |
+
"1": "illustration_scribble",
|
15 |
+
"2": "maximalism_style_art",
|
16 |
+
"3": "pixel_art"
|
17 |
+
},
|
18 |
+
"image_size": 224,
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 4096,
|
21 |
+
"label2id": {
|
22 |
+
"collage_album_style_art": 0,
|
23 |
+
"illustration_scribble": 1,
|
24 |
+
"maximalism_style_art": 2,
|
25 |
+
"pixel_art": 3
|
26 |
+
},
|
27 |
+
"layer_norm_eps": 1e-12,
|
28 |
+
"model_type": "vit",
|
29 |
+
"num_attention_heads": 16,
|
30 |
+
"num_channels": 3,
|
31 |
+
"num_hidden_layers": 24,
|
32 |
+
"patch_size": 16,
|
33 |
+
"problem_type": "single_label_classification",
|
34 |
+
"qkv_bias": true,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.45.0"
|
37 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a9910f683e05b92fa183e28a6c4ca8c289679a8137262cd0d0c5a224405084e
|
3 |
+
size 1213269472
|
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/Oct13_22-05-20_r-coan-design-2025-96s2irau-1b6c1-m4mof/events.out.tfevents.1728857122.r-coan-design-2025-96s2irau-1b6c1-m4mof.192.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9f4cb4728c2e6f9ac42293c6c94d4064c945a4d0fe040f1f4d40234ddaf84956
|
3 |
+
size 19113
|
runs/Oct13_22-05-20_r-coan-design-2025-96s2irau-1b6c1-m4mof/events.out.tfevents.1728857633.r-coan-design-2025-96s2irau-1b6c1-m4mof.192.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3eee6b80e87c20a3e52c5f783ca329ded6450ed4e3d88b88d0eeced9c3b94090
|
3 |
+
size 906
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f56fd31f2f5d06f1b64f4b97452f2a3d1998b922cce7a6a2a098dd0a45b18f71
|
3 |
+
size 5240
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "designTrends/autotrain-data",
|
3 |
+
"model": "google/vit-large-patch16-224",
|
4 |
+
"username": "coan",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 3,
|
7 |
+
"batch_size": 2,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "designTrends",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"push_to_hub": true,
|
23 |
+
"eval_strategy": "epoch",
|
24 |
+
"image_column": "autotrain_image",
|
25 |
+
"target_column": "autotrain_label",
|
26 |
+
"log": "tensorboard",
|
27 |
+
"early_stopping_patience": 5,
|
28 |
+
"early_stopping_threshold": 0.01
|
29 |
+
}
|