Upload folder using huggingface_hub
Browse files- README.md +42 -0
- checkpoint-78/config.json +39 -0
- checkpoint-78/model.safetensors +3 -0
- checkpoint-78/optimizer.pt +3 -0
- checkpoint-78/rng_state.pth +3 -0
- checkpoint-78/scheduler.pt +3 -0
- checkpoint-78/trainer_state.json +621 -0
- checkpoint-78/training_args.bin +3 -0
- config.json +39 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- image-classification
|
6 |
+
widget:
|
7 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
8 |
+
example_title: Tiger
|
9 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
10 |
+
example_title: Teapot
|
11 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
12 |
+
example_title: Palace
|
13 |
+
datasets:
|
14 |
+
- cars-countries/autotrain-data
|
15 |
+
---
|
16 |
+
|
17 |
+
# Model Trained Using AutoTrain
|
18 |
+
|
19 |
+
- Problem type: Image Classification
|
20 |
+
|
21 |
+
## Validation Metricsg
|
22 |
+
loss: 1.2113300561904907
|
23 |
+
|
24 |
+
f1_macro: 0.35240829346092506
|
25 |
+
|
26 |
+
f1_micro: 0.5098039215686274
|
27 |
+
|
28 |
+
f1_weighted: 0.43996622572473965
|
29 |
+
|
30 |
+
precision_macro: 0.443963963963964
|
31 |
+
|
32 |
+
precision_micro: 0.5098039215686274
|
33 |
+
|
34 |
+
precision_weighted: 0.5037272566684332
|
35 |
+
|
36 |
+
recall_macro: 0.36746031746031743
|
37 |
+
|
38 |
+
recall_micro: 0.5098039215686274
|
39 |
+
|
40 |
+
recall_weighted: 0.5098039215686274
|
41 |
+
|
42 |
+
accuracy: 0.5098039215686274
|
checkpoint-78/config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"_num_labels": 5,
|
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": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "France",
|
14 |
+
"1": "Germany",
|
15 |
+
"2": "Italy",
|
16 |
+
"3": "United Kingdom",
|
17 |
+
"4": "United States"
|
18 |
+
},
|
19 |
+
"image_size": 224,
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"France": 0,
|
24 |
+
"Germany": 1,
|
25 |
+
"Italy": 2,
|
26 |
+
"United Kingdom": 3,
|
27 |
+
"United States": 4
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-12,
|
30 |
+
"model_type": "vit",
|
31 |
+
"num_attention_heads": 12,
|
32 |
+
"num_channels": 3,
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"patch_size": 16,
|
35 |
+
"problem_type": "single_label_classification",
|
36 |
+
"qkv_bias": true,
|
37 |
+
"torch_dtype": "float32",
|
38 |
+
"transformers_version": "4.38.0"
|
39 |
+
}
|
checkpoint-78/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8eaaf30550054ba91a78d4aecf5360935d8a68754bfc52033bb7e4f83071d9bb
|
3 |
+
size 343233204
|
checkpoint-78/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27f136d6b2cbc35e5696483bcea3f135fae17ddffb81c0dfbbfd8d7e3de5228d
|
3 |
+
size 686587322
|
checkpoint-78/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b4580a7a025f50eefafa2b2c2db868e41ae7a639d5105867574eab0726df32d
|
3 |
+
size 14244
|
checkpoint-78/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b9728e1dd5aa3bd3d927bc38fcfc121d63538e00387df786439d6d962be8b8d5
|
3 |
+
size 1064
|
checkpoint-78/trainer_state.json
ADDED
@@ -0,0 +1,621 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.2113300561904907,
|
3 |
+
"best_model_checkpoint": "cars-countries/checkpoint-78",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 78,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04,
|
13 |
+
"grad_norm": Infinity,
|
14 |
+
"learning_rate": 0.0,
|
15 |
+
"loss": 1.781,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.08,
|
20 |
+
"grad_norm": 9.921228408813477,
|
21 |
+
"learning_rate": 6.25e-06,
|
22 |
+
"loss": 1.5569,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.12,
|
27 |
+
"grad_norm": 7.8902506828308105,
|
28 |
+
"learning_rate": 1.25e-05,
|
29 |
+
"loss": 1.5381,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.15,
|
34 |
+
"grad_norm": 9.90084457397461,
|
35 |
+
"learning_rate": 1.8750000000000002e-05,
|
36 |
+
"loss": 1.5947,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.19,
|
41 |
+
"grad_norm": 10.790699005126953,
|
42 |
+
"learning_rate": 2.5e-05,
|
43 |
+
"loss": 1.3412,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.23,
|
48 |
+
"grad_norm": 9.438414573669434,
|
49 |
+
"learning_rate": 3.125e-05,
|
50 |
+
"loss": 1.5891,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.27,
|
55 |
+
"grad_norm": 14.554863929748535,
|
56 |
+
"learning_rate": 3.7500000000000003e-05,
|
57 |
+
"loss": 1.5911,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.31,
|
62 |
+
"grad_norm": 11.261236190795898,
|
63 |
+
"learning_rate": 4.375e-05,
|
64 |
+
"loss": 1.6023,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.35,
|
69 |
+
"grad_norm": 10.684854507446289,
|
70 |
+
"learning_rate": 5e-05,
|
71 |
+
"loss": 1.5315,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.38,
|
76 |
+
"grad_norm": 8.2311429977417,
|
77 |
+
"learning_rate": 4.928571428571429e-05,
|
78 |
+
"loss": 1.4993,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.42,
|
83 |
+
"grad_norm": 8.519936561584473,
|
84 |
+
"learning_rate": 4.8571428571428576e-05,
|
85 |
+
"loss": 1.5576,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.46,
|
90 |
+
"grad_norm": 7.320441246032715,
|
91 |
+
"learning_rate": 4.785714285714286e-05,
|
92 |
+
"loss": 1.5395,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.5,
|
97 |
+
"grad_norm": 19.024276733398438,
|
98 |
+
"learning_rate": 4.714285714285714e-05,
|
99 |
+
"loss": 1.5867,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.54,
|
104 |
+
"grad_norm": 8.801590919494629,
|
105 |
+
"learning_rate": 4.642857142857143e-05,
|
106 |
+
"loss": 1.2448,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.58,
|
111 |
+
"grad_norm": 8.235298156738281,
|
112 |
+
"learning_rate": 4.5714285714285716e-05,
|
113 |
+
"loss": 1.4907,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.62,
|
118 |
+
"grad_norm": 9.275227546691895,
|
119 |
+
"learning_rate": 4.5e-05,
|
120 |
+
"loss": 1.4567,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.65,
|
125 |
+
"grad_norm": 9.200013160705566,
|
126 |
+
"learning_rate": 4.428571428571428e-05,
|
127 |
+
"loss": 1.6051,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.69,
|
132 |
+
"grad_norm": 7.5380120277404785,
|
133 |
+
"learning_rate": 4.3571428571428576e-05,
|
134 |
+
"loss": 1.3018,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.73,
|
139 |
+
"grad_norm": 9.66368579864502,
|
140 |
+
"learning_rate": 4.2857142857142856e-05,
|
141 |
+
"loss": 1.2577,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.77,
|
146 |
+
"grad_norm": 6.4247260093688965,
|
147 |
+
"learning_rate": 4.214285714285714e-05,
|
148 |
+
"loss": 1.3549,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.81,
|
153 |
+
"grad_norm": 7.779500484466553,
|
154 |
+
"learning_rate": 4.1428571428571437e-05,
|
155 |
+
"loss": 1.3177,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.85,
|
160 |
+
"grad_norm": 9.328712463378906,
|
161 |
+
"learning_rate": 4.0714285714285717e-05,
|
162 |
+
"loss": 1.9277,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.88,
|
167 |
+
"grad_norm": 9.957062721252441,
|
168 |
+
"learning_rate": 4e-05,
|
169 |
+
"loss": 1.543,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.92,
|
174 |
+
"grad_norm": 11.664092063903809,
|
175 |
+
"learning_rate": 3.928571428571429e-05,
|
176 |
+
"loss": 1.4666,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.96,
|
181 |
+
"grad_norm": 7.613643646240234,
|
182 |
+
"learning_rate": 3.857142857142858e-05,
|
183 |
+
"loss": 1.6037,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.0,
|
188 |
+
"grad_norm": 16.03534698486328,
|
189 |
+
"learning_rate": 3.785714285714286e-05,
|
190 |
+
"loss": 1.2129,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.0,
|
195 |
+
"eval_accuracy": 0.39215686274509803,
|
196 |
+
"eval_f1_macro": 0.17172161172161174,
|
197 |
+
"eval_f1_micro": 0.39215686274509803,
|
198 |
+
"eval_f1_weighted": 0.26543130072541843,
|
199 |
+
"eval_loss": 1.3392212390899658,
|
200 |
+
"eval_precision_macro": 0.32999999999999996,
|
201 |
+
"eval_precision_micro": 0.39215686274509803,
|
202 |
+
"eval_precision_weighted": 0.4598039215686274,
|
203 |
+
"eval_recall_macro": 0.2365079365079365,
|
204 |
+
"eval_recall_micro": 0.39215686274509803,
|
205 |
+
"eval_recall_weighted": 0.39215686274509803,
|
206 |
+
"eval_runtime": 0.9569,
|
207 |
+
"eval_samples_per_second": 53.295,
|
208 |
+
"eval_steps_per_second": 4.18,
|
209 |
+
"step": 26
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.04,
|
213 |
+
"grad_norm": 7.75885009765625,
|
214 |
+
"learning_rate": 3.7142857142857143e-05,
|
215 |
+
"loss": 1.3228,
|
216 |
+
"step": 27
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.08,
|
220 |
+
"grad_norm": 8.9802827835083,
|
221 |
+
"learning_rate": 3.642857142857143e-05,
|
222 |
+
"loss": 1.2236,
|
223 |
+
"step": 28
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 1.12,
|
227 |
+
"grad_norm": 11.71562671661377,
|
228 |
+
"learning_rate": 3.571428571428572e-05,
|
229 |
+
"loss": 1.6211,
|
230 |
+
"step": 29
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.15,
|
234 |
+
"grad_norm": 8.007612228393555,
|
235 |
+
"learning_rate": 3.5e-05,
|
236 |
+
"loss": 1.0492,
|
237 |
+
"step": 30
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 1.19,
|
241 |
+
"grad_norm": 8.764470100402832,
|
242 |
+
"learning_rate": 3.428571428571429e-05,
|
243 |
+
"loss": 1.2495,
|
244 |
+
"step": 31
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 1.23,
|
248 |
+
"grad_norm": 9.003642082214355,
|
249 |
+
"learning_rate": 3.357142857142857e-05,
|
250 |
+
"loss": 1.4517,
|
251 |
+
"step": 32
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.27,
|
255 |
+
"grad_norm": 8.626983642578125,
|
256 |
+
"learning_rate": 3.285714285714286e-05,
|
257 |
+
"loss": 1.188,
|
258 |
+
"step": 33
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.31,
|
262 |
+
"grad_norm": 6.939526557922363,
|
263 |
+
"learning_rate": 3.2142857142857144e-05,
|
264 |
+
"loss": 1.1346,
|
265 |
+
"step": 34
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 1.35,
|
269 |
+
"grad_norm": 8.789880752563477,
|
270 |
+
"learning_rate": 3.142857142857143e-05,
|
271 |
+
"loss": 1.4955,
|
272 |
+
"step": 35
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 1.38,
|
276 |
+
"grad_norm": 8.395410537719727,
|
277 |
+
"learning_rate": 3.071428571428572e-05,
|
278 |
+
"loss": 1.1301,
|
279 |
+
"step": 36
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.42,
|
283 |
+
"grad_norm": 9.601696968078613,
|
284 |
+
"learning_rate": 3e-05,
|
285 |
+
"loss": 1.3088,
|
286 |
+
"step": 37
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.46,
|
290 |
+
"grad_norm": 9.192988395690918,
|
291 |
+
"learning_rate": 2.9285714285714288e-05,
|
292 |
+
"loss": 1.3069,
|
293 |
+
"step": 38
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.5,
|
297 |
+
"grad_norm": 10.932126998901367,
|
298 |
+
"learning_rate": 2.857142857142857e-05,
|
299 |
+
"loss": 1.5361,
|
300 |
+
"step": 39
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 1.54,
|
304 |
+
"grad_norm": 8.457172393798828,
|
305 |
+
"learning_rate": 2.785714285714286e-05,
|
306 |
+
"loss": 1.0766,
|
307 |
+
"step": 40
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 1.58,
|
311 |
+
"grad_norm": 8.215372085571289,
|
312 |
+
"learning_rate": 2.714285714285714e-05,
|
313 |
+
"loss": 1.1533,
|
314 |
+
"step": 41
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.62,
|
318 |
+
"grad_norm": 9.27467155456543,
|
319 |
+
"learning_rate": 2.642857142857143e-05,
|
320 |
+
"loss": 1.2253,
|
321 |
+
"step": 42
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 1.65,
|
325 |
+
"grad_norm": 8.538656234741211,
|
326 |
+
"learning_rate": 2.5714285714285714e-05,
|
327 |
+
"loss": 1.5666,
|
328 |
+
"step": 43
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 1.69,
|
332 |
+
"grad_norm": 9.004700660705566,
|
333 |
+
"learning_rate": 2.5e-05,
|
334 |
+
"loss": 1.2428,
|
335 |
+
"step": 44
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.73,
|
339 |
+
"grad_norm": 9.92335319519043,
|
340 |
+
"learning_rate": 2.4285714285714288e-05,
|
341 |
+
"loss": 1.3294,
|
342 |
+
"step": 45
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 1.77,
|
346 |
+
"grad_norm": 6.969778537750244,
|
347 |
+
"learning_rate": 2.357142857142857e-05,
|
348 |
+
"loss": 0.892,
|
349 |
+
"step": 46
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 1.81,
|
353 |
+
"grad_norm": 9.29692554473877,
|
354 |
+
"learning_rate": 2.2857142857142858e-05,
|
355 |
+
"loss": 0.8958,
|
356 |
+
"step": 47
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.85,
|
360 |
+
"grad_norm": 8.588207244873047,
|
361 |
+
"learning_rate": 2.214285714285714e-05,
|
362 |
+
"loss": 0.965,
|
363 |
+
"step": 48
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 1.88,
|
367 |
+
"grad_norm": 7.432168483734131,
|
368 |
+
"learning_rate": 2.1428571428571428e-05,
|
369 |
+
"loss": 1.1908,
|
370 |
+
"step": 49
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 1.92,
|
374 |
+
"grad_norm": 8.40340518951416,
|
375 |
+
"learning_rate": 2.0714285714285718e-05,
|
376 |
+
"loss": 1.3141,
|
377 |
+
"step": 50
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.96,
|
381 |
+
"grad_norm": 11.749902725219727,
|
382 |
+
"learning_rate": 2e-05,
|
383 |
+
"loss": 1.664,
|
384 |
+
"step": 51
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.0,
|
388 |
+
"grad_norm": Infinity,
|
389 |
+
"learning_rate": 2e-05,
|
390 |
+
"loss": 2.0425,
|
391 |
+
"step": 52
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 2.0,
|
395 |
+
"eval_accuracy": 0.47058823529411764,
|
396 |
+
"eval_f1_macro": 0.30023902651021295,
|
397 |
+
"eval_f1_micro": 0.47058823529411764,
|
398 |
+
"eval_f1_weighted": 0.3905676133991189,
|
399 |
+
"eval_loss": 1.2403396368026733,
|
400 |
+
"eval_precision_macro": 0.4878048780487805,
|
401 |
+
"eval_precision_micro": 0.47058823529411764,
|
402 |
+
"eval_precision_weighted": 0.5961262553802008,
|
403 |
+
"eval_recall_macro": 0.32301587301587303,
|
404 |
+
"eval_recall_micro": 0.47058823529411764,
|
405 |
+
"eval_recall_weighted": 0.47058823529411764,
|
406 |
+
"eval_runtime": 0.9273,
|
407 |
+
"eval_samples_per_second": 54.997,
|
408 |
+
"eval_steps_per_second": 4.314,
|
409 |
+
"step": 52
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 2.04,
|
413 |
+
"grad_norm": 11.03630256652832,
|
414 |
+
"learning_rate": 1.928571428571429e-05,
|
415 |
+
"loss": 1.1866,
|
416 |
+
"step": 53
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.08,
|
420 |
+
"grad_norm": 7.543542861938477,
|
421 |
+
"learning_rate": 1.8571428571428572e-05,
|
422 |
+
"loss": 1.1695,
|
423 |
+
"step": 54
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 2.12,
|
427 |
+
"grad_norm": 8.078568458557129,
|
428 |
+
"learning_rate": 1.785714285714286e-05,
|
429 |
+
"loss": 0.9876,
|
430 |
+
"step": 55
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 2.15,
|
434 |
+
"grad_norm": 9.406330108642578,
|
435 |
+
"learning_rate": 1.7142857142857145e-05,
|
436 |
+
"loss": 1.4199,
|
437 |
+
"step": 56
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 2.19,
|
441 |
+
"grad_norm": 8.94027328491211,
|
442 |
+
"learning_rate": 1.642857142857143e-05,
|
443 |
+
"loss": 1.0628,
|
444 |
+
"step": 57
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 2.23,
|
448 |
+
"grad_norm": 7.433661937713623,
|
449 |
+
"learning_rate": 1.5714285714285715e-05,
|
450 |
+
"loss": 1.0264,
|
451 |
+
"step": 58
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 2.27,
|
455 |
+
"grad_norm": 7.517592430114746,
|
456 |
+
"learning_rate": 1.5e-05,
|
457 |
+
"loss": 0.8727,
|
458 |
+
"step": 59
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 2.31,
|
462 |
+
"grad_norm": 11.105234146118164,
|
463 |
+
"learning_rate": 1.4285714285714285e-05,
|
464 |
+
"loss": 1.0733,
|
465 |
+
"step": 60
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 2.35,
|
469 |
+
"grad_norm": 8.228996276855469,
|
470 |
+
"learning_rate": 1.357142857142857e-05,
|
471 |
+
"loss": 0.7755,
|
472 |
+
"step": 61
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 2.38,
|
476 |
+
"grad_norm": 10.02564525604248,
|
477 |
+
"learning_rate": 1.2857142857142857e-05,
|
478 |
+
"loss": 1.3597,
|
479 |
+
"step": 62
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 2.42,
|
483 |
+
"grad_norm": 7.33097505569458,
|
484 |
+
"learning_rate": 1.2142857142857144e-05,
|
485 |
+
"loss": 0.8739,
|
486 |
+
"step": 63
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 2.46,
|
490 |
+
"grad_norm": 11.741021156311035,
|
491 |
+
"learning_rate": 1.1428571428571429e-05,
|
492 |
+
"loss": 1.3264,
|
493 |
+
"step": 64
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 2.5,
|
497 |
+
"grad_norm": 10.197936058044434,
|
498 |
+
"learning_rate": 1.0714285714285714e-05,
|
499 |
+
"loss": 1.1468,
|
500 |
+
"step": 65
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 2.54,
|
504 |
+
"grad_norm": 9.967548370361328,
|
505 |
+
"learning_rate": 1e-05,
|
506 |
+
"loss": 1.2385,
|
507 |
+
"step": 66
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 2.58,
|
511 |
+
"grad_norm": 6.901878356933594,
|
512 |
+
"learning_rate": 9.285714285714286e-06,
|
513 |
+
"loss": 0.7635,
|
514 |
+
"step": 67
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 2.62,
|
518 |
+
"grad_norm": 7.190940856933594,
|
519 |
+
"learning_rate": 8.571428571428573e-06,
|
520 |
+
"loss": 0.8255,
|
521 |
+
"step": 68
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 2.65,
|
525 |
+
"grad_norm": 9.144484519958496,
|
526 |
+
"learning_rate": 7.857142857142858e-06,
|
527 |
+
"loss": 1.0753,
|
528 |
+
"step": 69
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 2.69,
|
532 |
+
"grad_norm": 6.83949089050293,
|
533 |
+
"learning_rate": 7.142857142857143e-06,
|
534 |
+
"loss": 1.0511,
|
535 |
+
"step": 70
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 2.73,
|
539 |
+
"grad_norm": 11.242728233337402,
|
540 |
+
"learning_rate": 6.428571428571429e-06,
|
541 |
+
"loss": 1.6024,
|
542 |
+
"step": 71
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 2.77,
|
546 |
+
"grad_norm": 9.73320484161377,
|
547 |
+
"learning_rate": 5.7142857142857145e-06,
|
548 |
+
"loss": 1.0241,
|
549 |
+
"step": 72
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 2.81,
|
553 |
+
"grad_norm": 13.551000595092773,
|
554 |
+
"learning_rate": 5e-06,
|
555 |
+
"loss": 1.0143,
|
556 |
+
"step": 73
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 2.85,
|
560 |
+
"grad_norm": 9.739935874938965,
|
561 |
+
"learning_rate": 4.285714285714286e-06,
|
562 |
+
"loss": 1.528,
|
563 |
+
"step": 74
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 2.88,
|
567 |
+
"grad_norm": 7.910869598388672,
|
568 |
+
"learning_rate": 3.5714285714285714e-06,
|
569 |
+
"loss": 0.9389,
|
570 |
+
"step": 75
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 2.92,
|
574 |
+
"grad_norm": 9.845719337463379,
|
575 |
+
"learning_rate": 2.8571428571428573e-06,
|
576 |
+
"loss": 1.2907,
|
577 |
+
"step": 76
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 2.96,
|
581 |
+
"grad_norm": 6.709384441375732,
|
582 |
+
"learning_rate": 2.142857142857143e-06,
|
583 |
+
"loss": 1.0141,
|
584 |
+
"step": 77
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 3.0,
|
588 |
+
"grad_norm": 16.175195693969727,
|
589 |
+
"learning_rate": 1.4285714285714286e-06,
|
590 |
+
"loss": 1.4561,
|
591 |
+
"step": 78
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 3.0,
|
595 |
+
"eval_accuracy": 0.5098039215686274,
|
596 |
+
"eval_f1_macro": 0.35240829346092506,
|
597 |
+
"eval_f1_micro": 0.5098039215686274,
|
598 |
+
"eval_f1_weighted": 0.43996622572473965,
|
599 |
+
"eval_loss": 1.2113300561904907,
|
600 |
+
"eval_precision_macro": 0.443963963963964,
|
601 |
+
"eval_precision_micro": 0.5098039215686274,
|
602 |
+
"eval_precision_weighted": 0.5037272566684332,
|
603 |
+
"eval_recall_macro": 0.36746031746031743,
|
604 |
+
"eval_recall_micro": 0.5098039215686274,
|
605 |
+
"eval_recall_weighted": 0.5098039215686274,
|
606 |
+
"eval_runtime": 0.9222,
|
607 |
+
"eval_samples_per_second": 55.303,
|
608 |
+
"eval_steps_per_second": 4.337,
|
609 |
+
"step": 78
|
610 |
+
}
|
611 |
+
],
|
612 |
+
"logging_steps": 1,
|
613 |
+
"max_steps": 78,
|
614 |
+
"num_input_tokens_seen": 0,
|
615 |
+
"num_train_epochs": 3,
|
616 |
+
"save_steps": 500,
|
617 |
+
"total_flos": 4.696140837323981e+16,
|
618 |
+
"train_batch_size": 8,
|
619 |
+
"trial_name": null,
|
620 |
+
"trial_params": null
|
621 |
+
}
|
checkpoint-78/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4bffd28c8a57b2820a76fcabae7f026624e1e4b1406c92a435e74b16aa7f3966
|
3 |
+
size 4920
|
config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"_num_labels": 5,
|
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": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "France",
|
14 |
+
"1": "Germany",
|
15 |
+
"2": "Italy",
|
16 |
+
"3": "United Kingdom",
|
17 |
+
"4": "United States"
|
18 |
+
},
|
19 |
+
"image_size": 224,
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"France": 0,
|
24 |
+
"Germany": 1,
|
25 |
+
"Italy": 2,
|
26 |
+
"United Kingdom": 3,
|
27 |
+
"United States": 4
|
28 |
+
},
|
29 |
+
"layer_norm_eps": 1e-12,
|
30 |
+
"model_type": "vit",
|
31 |
+
"num_attention_heads": 12,
|
32 |
+
"num_channels": 3,
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"patch_size": 16,
|
35 |
+
"problem_type": "single_label_classification",
|
36 |
+
"qkv_bias": true,
|
37 |
+
"torch_dtype": "float32",
|
38 |
+
"transformers_version": "4.38.0"
|
39 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8eaaf30550054ba91a78d4aecf5360935d8a68754bfc52033bb7e4f83071d9bb
|
3 |
+
size 343233204
|
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 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4bffd28c8a57b2820a76fcabae7f026624e1e4b1406c92a435e74b16aa7f3966
|
3 |
+
size 4920
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "cars-countries/autotrain-data",
|
3 |
+
"model": "google/vit-base-patch16-224",
|
4 |
+
"username": "fashxp",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 3,
|
7 |
+
"batch_size": 8,
|
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": "cars-countries",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"save_strategy": "epoch",
|
23 |
+
"push_to_hub": true,
|
24 |
+
"repo_id": "fashxp/cars-countries",
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"image_column": "autotrain_image",
|
27 |
+
"target_column": "autotrain_label",
|
28 |
+
"log": "none"
|
29 |
+
}
|