🍻 cheers
Browse files- README.md +2 -1
- all_results.json +12 -12
- eval_results.json +8 -8
- runs/Mar27_08-05-10_ryanserver/events.out.tfevents.1711543379.ryanserver.8800.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +199 -37
README.md
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
6 |
model-index:
|
7 |
- name: ryan_model314_3
|
@@ -13,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# ryan_model314_3
|
15 |
|
16 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the
|
17 |
It achieves the following results on the evaluation set:
|
18 |
- Loss: 0.2750
|
19 |
- Na Accuracy: 0.931
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: google/vit-base-patch16-224-in21k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
- generated_from_trainer
|
7 |
model-index:
|
8 |
- name: ryan_model314_3
|
|
|
14 |
|
15 |
# ryan_model314_3
|
16 |
|
17 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 0.2750
|
20 |
- Na Accuracy: 0.931
|
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_na_accuracy": 0.
|
5 |
-
"eval_ordinal_accuracy": 0.
|
6 |
-
"eval_ordinal_mae": 0.
|
7 |
-
"eval_runtime":
|
8 |
-
"eval_samples_per_second":
|
9 |
-
"eval_steps_per_second": 2.
|
10 |
-
"train_loss": 0.
|
11 |
-
"train_runtime":
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 0.
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.88,
|
3 |
+
"eval_loss": 0.2750368118286133,
|
4 |
+
"eval_na_accuracy": 0.931,
|
5 |
+
"eval_ordinal_accuracy": 0.6271379703534777,
|
6 |
+
"eval_ordinal_mae": 0.5319093595330124,
|
7 |
+
"eval_runtime": 42.4663,
|
8 |
+
"eval_samples_per_second": 23.548,
|
9 |
+
"eval_steps_per_second": 2.944,
|
10 |
+
"train_loss": 0.3000895881652832,
|
11 |
+
"train_runtime": 2172.3633,
|
12 |
+
"train_samples_per_second": 9.207,
|
13 |
+
"train_steps_per_second": 0.575
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss": 0.
|
4 |
-
"eval_na_accuracy": 0.
|
5 |
-
"eval_ordinal_accuracy": 0.
|
6 |
-
"eval_ordinal_mae": 0.
|
7 |
-
"eval_runtime":
|
8 |
-
"eval_samples_per_second":
|
9 |
-
"eval_steps_per_second": 2.
|
10 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.88,
|
3 |
+
"eval_loss": 0.2750368118286133,
|
4 |
+
"eval_na_accuracy": 0.931,
|
5 |
+
"eval_ordinal_accuracy": 0.6271379703534777,
|
6 |
+
"eval_ordinal_mae": 0.5319093595330124,
|
7 |
+
"eval_runtime": 42.4663,
|
8 |
+
"eval_samples_per_second": 23.548,
|
9 |
+
"eval_steps_per_second": 2.944
|
10 |
}
|
runs/Mar27_08-05-10_ryanserver/events.out.tfevents.1711543379.ryanserver.8800.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a0cebfd799724c7fc5edf6d1e013bdec3501d228ae92a969b732af9bb19da0e
|
3 |
+
size 529
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 0.88,
|
3 |
+
"train_loss": 0.3000895881652832,
|
4 |
+
"train_runtime": 2172.3633,
|
5 |
+
"train_samples_per_second": 9.207,
|
6 |
+
"train_steps_per_second": 0.575
|
7 |
}
|
trainer_state.json
CHANGED
@@ -1,65 +1,227 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "./ryan_model314_3/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 50,
|
6 |
-
"global_step":
|
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.
|
13 |
-
"grad_norm":
|
14 |
-
"learning_rate": 0.
|
15 |
-
"loss": 0.
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"eval_loss": 0.
|
21 |
-
"eval_na_accuracy": 0.
|
22 |
-
"eval_ordinal_accuracy": 0.
|
23 |
-
"eval_ordinal_mae": 0.
|
24 |
-
"eval_runtime":
|
25 |
-
"eval_samples_per_second": 8.
|
26 |
-
"eval_steps_per_second": 1.
|
27 |
"step": 50
|
28 |
},
|
29 |
{
|
30 |
-
"epoch":
|
31 |
-
"grad_norm": 0.
|
32 |
-
"learning_rate":
|
33 |
-
"loss": 0.
|
34 |
"step": 100
|
35 |
},
|
36 |
{
|
37 |
-
"epoch":
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_na_accuracy": 0.
|
40 |
-
"eval_ordinal_accuracy": 0.
|
41 |
-
"eval_ordinal_mae": 0.
|
42 |
-
"eval_runtime":
|
43 |
-
"eval_samples_per_second":
|
44 |
-
"eval_steps_per_second":
|
45 |
"step": 100
|
46 |
},
|
47 |
{
|
48 |
-
"epoch":
|
49 |
-
"
|
50 |
-
"
|
51 |
-
"
|
52 |
-
"
|
53 |
-
|
54 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
}
|
56 |
],
|
57 |
"logging_steps": 50,
|
58 |
-
"max_steps":
|
59 |
"num_input_tokens_seen": 0,
|
60 |
"num_train_epochs": 2,
|
61 |
"save_steps": 50,
|
62 |
-
"total_flos":
|
63 |
"train_batch_size": 16,
|
64 |
"trial_name": null,
|
65 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.2750368118286133,
|
3 |
+
"best_model_checkpoint": "./ryan_model314_3/checkpoint-550",
|
4 |
+
"epoch": 0.88,
|
5 |
"eval_steps": 50,
|
6 |
+
"global_step": 550,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.08,
|
13 |
+
"grad_norm": 1.5017586946487427,
|
14 |
+
"learning_rate": 0.000192,
|
15 |
+
"loss": 0.4423,
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.08,
|
20 |
+
"eval_loss": 0.33861014246940613,
|
21 |
+
"eval_na_accuracy": 0.904,
|
22 |
+
"eval_ordinal_accuracy": 0.4629418472063854,
|
23 |
+
"eval_ordinal_mae": 0.6577621472191316,
|
24 |
+
"eval_runtime": 123.3898,
|
25 |
+
"eval_samples_per_second": 8.104,
|
26 |
+
"eval_steps_per_second": 1.013,
|
27 |
"step": 50
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.16,
|
31 |
+
"grad_norm": 0.8501819372177124,
|
32 |
+
"learning_rate": 0.00018400000000000003,
|
33 |
+
"loss": 0.3088,
|
34 |
"step": 100
|
35 |
},
|
36 |
{
|
37 |
+
"epoch": 0.16,
|
38 |
+
"eval_loss": 0.3268783390522003,
|
39 |
+
"eval_na_accuracy": 0.928,
|
40 |
+
"eval_ordinal_accuracy": 0.5370581527936146,
|
41 |
+
"eval_ordinal_mae": 0.5969413880658287,
|
42 |
+
"eval_runtime": 43.4997,
|
43 |
+
"eval_samples_per_second": 22.989,
|
44 |
+
"eval_steps_per_second": 2.874,
|
45 |
"step": 100
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.24,
|
49 |
+
"grad_norm": 0.5424334406852722,
|
50 |
+
"learning_rate": 0.00017600000000000002,
|
51 |
+
"loss": 0.316,
|
52 |
+
"step": 150
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.24,
|
56 |
+
"eval_loss": 0.3395713269710541,
|
57 |
+
"eval_na_accuracy": 0.902,
|
58 |
+
"eval_ordinal_accuracy": 0.5142531356898518,
|
59 |
+
"eval_ordinal_mae": 0.6323422620227872,
|
60 |
+
"eval_runtime": 43.339,
|
61 |
+
"eval_samples_per_second": 23.074,
|
62 |
+
"eval_steps_per_second": 2.884,
|
63 |
+
"step": 150
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.32,
|
67 |
+
"grad_norm": 1.2484453916549683,
|
68 |
+
"learning_rate": 0.000168,
|
69 |
+
"loss": 0.2821,
|
70 |
+
"step": 200
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.32,
|
74 |
+
"eval_loss": 0.32339948415756226,
|
75 |
+
"eval_na_accuracy": 0.927,
|
76 |
+
"eval_ordinal_accuracy": 0.5131128848346637,
|
77 |
+
"eval_ordinal_mae": 0.6292874569299393,
|
78 |
+
"eval_runtime": 42.0004,
|
79 |
+
"eval_samples_per_second": 23.809,
|
80 |
+
"eval_steps_per_second": 2.976,
|
81 |
+
"step": 200
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.4,
|
85 |
+
"grad_norm": 1.4807660579681396,
|
86 |
+
"learning_rate": 0.00016,
|
87 |
+
"loss": 0.2731,
|
88 |
+
"step": 250
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 0.4,
|
92 |
+
"eval_loss": 0.3313509225845337,
|
93 |
+
"eval_na_accuracy": 0.925,
|
94 |
+
"eval_ordinal_accuracy": 0.508551881413911,
|
95 |
+
"eval_ordinal_mae": 0.5856009521101041,
|
96 |
+
"eval_runtime": 55.6564,
|
97 |
+
"eval_samples_per_second": 17.967,
|
98 |
+
"eval_steps_per_second": 2.246,
|
99 |
+
"step": 250
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.48,
|
103 |
+
"grad_norm": 1.4179209470748901,
|
104 |
+
"learning_rate": 0.000152,
|
105 |
+
"loss": 0.2975,
|
106 |
+
"step": 300
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.48,
|
110 |
+
"eval_loss": 0.3036611080169678,
|
111 |
+
"eval_na_accuracy": 0.927,
|
112 |
+
"eval_ordinal_accuracy": 0.5963511972633979,
|
113 |
+
"eval_ordinal_mae": 0.5690023564742932,
|
114 |
+
"eval_runtime": 42.7034,
|
115 |
+
"eval_samples_per_second": 23.417,
|
116 |
+
"eval_steps_per_second": 2.927,
|
117 |
+
"step": 300
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.56,
|
121 |
+
"grad_norm": 0.7659221887588501,
|
122 |
+
"learning_rate": 0.000144,
|
123 |
+
"loss": 0.2609,
|
124 |
+
"step": 350
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 0.56,
|
128 |
+
"eval_loss": 0.3209022283554077,
|
129 |
+
"eval_na_accuracy": 0.928,
|
130 |
+
"eval_ordinal_accuracy": 0.5450399087799316,
|
131 |
+
"eval_ordinal_mae": 0.5764862077817825,
|
132 |
+
"eval_runtime": 43.1206,
|
133 |
+
"eval_samples_per_second": 23.191,
|
134 |
+
"eval_steps_per_second": 2.899,
|
135 |
+
"step": 350
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.64,
|
139 |
+
"grad_norm": 1.0847711563110352,
|
140 |
+
"learning_rate": 0.00013600000000000003,
|
141 |
+
"loss": 0.287,
|
142 |
+
"step": 400
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.64,
|
146 |
+
"eval_loss": 0.29075464606285095,
|
147 |
+
"eval_na_accuracy": 0.931,
|
148 |
+
"eval_ordinal_accuracy": 0.5826681870011402,
|
149 |
+
"eval_ordinal_mae": 0.5458187616535902,
|
150 |
+
"eval_runtime": 42.3269,
|
151 |
+
"eval_samples_per_second": 23.626,
|
152 |
+
"eval_steps_per_second": 2.953,
|
153 |
+
"step": 400
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.72,
|
157 |
+
"grad_norm": 0.9720218181610107,
|
158 |
+
"learning_rate": 0.00012800000000000002,
|
159 |
+
"loss": 0.2905,
|
160 |
+
"step": 450
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 0.72,
|
164 |
+
"eval_loss": 0.30074238777160645,
|
165 |
+
"eval_na_accuracy": 0.919,
|
166 |
+
"eval_ordinal_accuracy": 0.5986316989737742,
|
167 |
+
"eval_ordinal_mae": 0.548372159519042,
|
168 |
+
"eval_runtime": 76.7524,
|
169 |
+
"eval_samples_per_second": 13.029,
|
170 |
+
"eval_steps_per_second": 1.629,
|
171 |
+
"step": 450
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.8,
|
175 |
+
"grad_norm": 0.8414099216461182,
|
176 |
+
"learning_rate": 0.00012,
|
177 |
+
"loss": 0.2574,
|
178 |
+
"step": 500
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.8,
|
182 |
+
"eval_loss": 0.28344637155532837,
|
183 |
+
"eval_na_accuracy": 0.929,
|
184 |
+
"eval_ordinal_accuracy": 0.6031927023945268,
|
185 |
+
"eval_ordinal_mae": 0.5363022306512,
|
186 |
+
"eval_runtime": 42.8484,
|
187 |
+
"eval_samples_per_second": 23.338,
|
188 |
+
"eval_steps_per_second": 2.917,
|
189 |
+
"step": 500
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.88,
|
193 |
+
"grad_norm": 0.5895617604255676,
|
194 |
+
"learning_rate": 0.00011200000000000001,
|
195 |
+
"loss": 0.2855,
|
196 |
+
"step": 550
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.88,
|
200 |
+
"eval_loss": 0.2750368118286133,
|
201 |
+
"eval_na_accuracy": 0.931,
|
202 |
+
"eval_ordinal_accuracy": 0.6271379703534777,
|
203 |
+
"eval_ordinal_mae": 0.5319093595330124,
|
204 |
+
"eval_runtime": 42.3171,
|
205 |
+
"eval_samples_per_second": 23.631,
|
206 |
+
"eval_steps_per_second": 2.954,
|
207 |
+
"step": 550
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.88,
|
211 |
+
"step": 550,
|
212 |
+
"total_flos": 6.81953956282368e+17,
|
213 |
+
"train_loss": 0.3000895881652832,
|
214 |
+
"train_runtime": 2172.3633,
|
215 |
+
"train_samples_per_second": 9.207,
|
216 |
+
"train_steps_per_second": 0.575
|
217 |
}
|
218 |
],
|
219 |
"logging_steps": 50,
|
220 |
+
"max_steps": 1250,
|
221 |
"num_input_tokens_seen": 0,
|
222 |
"num_train_epochs": 2,
|
223 |
"save_steps": 50,
|
224 |
+
"total_flos": 6.81953956282368e+17,
|
225 |
"train_batch_size": 16,
|
226 |
"trial_name": null,
|
227 |
"trial_params": null
|