jerlawson13
commited on
Training in progress, step 100
Browse files- all_results.json +3 -3
- model.safetensors +1 -1
- runs/Sep05_20-01-33_REDLGLAUCORE01/events.out.tfevents.1725594629.REDLGLAUCORE01.848854.18 +3 -0
- runs/Sep06_16-37-48_REDLGLAUCORE01/events.out.tfevents.1725665869.REDLGLAUCORE01.848854.20 +3 -0
- runs/Sep06_16-45-57_REDLGLAUCORE01/events.out.tfevents.1725666357.REDLGLAUCORE01.848854.22 +3 -0
- train_results.json +3 -3
- trainer_state.json +68 -68
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -5,8 +5,8 @@
|
|
5 |
"eval_samples_per_second": 9.337,
|
6 |
"eval_steps_per_second": 0.294,
|
7 |
"total_flos": 7.020774259082035e+17,
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 3.
|
11 |
"train_steps_per_second": 0.099
|
12 |
}
|
|
|
5 |
"eval_samples_per_second": 9.337,
|
6 |
"eval_steps_per_second": 0.294,
|
7 |
"total_flos": 7.020774259082035e+17,
|
8 |
+
"train_loss": 0.15237279649366411,
|
9 |
+
"train_runtime": 2884.1273,
|
10 |
+
"train_samples_per_second": 3.162,
|
11 |
"train_steps_per_second": 0.099
|
12 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343223968
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56a1d9bc9dc168a7523e561e9e4528b5831e7c00df313213f5a0114cf54190fb
|
3 |
size 343223968
|
runs/Sep05_20-01-33_REDLGLAUCORE01/events.out.tfevents.1725594629.REDLGLAUCORE01.848854.18
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61b530704c9bb5f33cf5751e0d7b944e58b5a567c55462d901d33af3107dd1d6
|
3 |
+
size 1057
|
runs/Sep06_16-37-48_REDLGLAUCORE01/events.out.tfevents.1725665869.REDLGLAUCORE01.848854.20
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae8e9bd3c7ec7ce3b609ecb180d8d674dd065d7c4fe2395b0a2202276cf71ef0
|
3 |
+
size 5464
|
runs/Sep06_16-45-57_REDLGLAUCORE01/events.out.tfevents.1725666357.REDLGLAUCORE01.848854.22
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bea66d5efd193cd5f160b9f9a3fa9f25b46e051841dc28d0d07d4fc30746cbaa
|
3 |
+
size 7437
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
"total_flos": 7.020774259082035e+17,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 3.
|
7 |
"train_steps_per_second": 0.099
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 5.0,
|
3 |
"total_flos": 7.020774259082035e+17,
|
4 |
+
"train_loss": 0.15237279649366411,
|
5 |
+
"train_runtime": 2884.1273,
|
6 |
+
"train_samples_per_second": 3.162,
|
7 |
"train_steps_per_second": 0.099
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "/home/projects/Project - Fundus Photo Glaucoma Detection (AI)//model_results/vit-base-gpu/checkpoint-200",
|
4 |
"epoch": 5.0,
|
5 |
"eval_steps": 100,
|
@@ -10,72 +10,72 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.17543859649122806,
|
13 |
-
"grad_norm": 1.
|
14 |
"learning_rate": 9.649122807017545e-06,
|
15 |
-
"loss": 0.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.3508771929824561,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 9.298245614035088e-06,
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.5263157894736842,
|
27 |
-
"grad_norm": 1.
|
28 |
"learning_rate": 8.947368421052632e-06,
|
29 |
-
"loss": 0.
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.7017543859649122,
|
34 |
-
"grad_norm": 1.
|
35 |
"learning_rate": 8.596491228070176e-06,
|
36 |
-
"loss": 0.
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.8771929824561403,
|
41 |
-
"grad_norm":
|
42 |
"learning_rate": 8.24561403508772e-06,
|
43 |
-
"loss": 0.
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 1.0526315789473684,
|
48 |
-
"grad_norm": 0.
|
49 |
"learning_rate": 7.894736842105265e-06,
|
50 |
-
"loss": 0.
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 1.2280701754385965,
|
55 |
-
"grad_norm": 0.
|
56 |
"learning_rate": 7.5438596491228074e-06,
|
57 |
-
"loss": 0.
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 1.4035087719298245,
|
62 |
-
"grad_norm":
|
63 |
"learning_rate": 7.192982456140352e-06,
|
64 |
-
"loss": 0.
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 1.5789473684210527,
|
69 |
-
"grad_norm": 0.
|
70 |
"learning_rate": 6.842105263157896e-06,
|
71 |
-
"loss": 0.
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.7543859649122808,
|
76 |
-
"grad_norm": 0.
|
77 |
"learning_rate": 6.491228070175439e-06,
|
78 |
-
"loss": 0.
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
@@ -91,80 +91,80 @@
|
|
91 |
161
|
92 |
]
|
93 |
],
|
94 |
-
"eval_loss": 0.
|
95 |
-
"eval_runtime":
|
96 |
-
"eval_samples_per_second":
|
97 |
-
"eval_steps_per_second": 0.
|
98 |
"step": 100
|
99 |
},
|
100 |
{
|
101 |
"epoch": 1.9298245614035088,
|
102 |
-
"grad_norm":
|
103 |
"learning_rate": 6.140350877192983e-06,
|
104 |
-
"loss": 0.
|
105 |
"step": 110
|
106 |
},
|
107 |
{
|
108 |
"epoch": 2.1052631578947367,
|
109 |
-
"grad_norm": 0.
|
110 |
"learning_rate": 5.789473684210527e-06,
|
111 |
-
"loss": 0.
|
112 |
"step": 120
|
113 |
},
|
114 |
{
|
115 |
"epoch": 2.280701754385965,
|
116 |
-
"grad_norm": 0.
|
117 |
"learning_rate": 5.438596491228071e-06,
|
118 |
-
"loss": 0.
|
119 |
"step": 130
|
120 |
},
|
121 |
{
|
122 |
"epoch": 2.456140350877193,
|
123 |
-
"grad_norm": 0.
|
124 |
"learning_rate": 5.087719298245615e-06,
|
125 |
-
"loss": 0.
|
126 |
"step": 140
|
127 |
},
|
128 |
{
|
129 |
"epoch": 2.6315789473684212,
|
130 |
-
"grad_norm": 0.
|
131 |
"learning_rate": 4.736842105263158e-06,
|
132 |
-
"loss": 0.
|
133 |
"step": 150
|
134 |
},
|
135 |
{
|
136 |
"epoch": 2.807017543859649,
|
137 |
-
"grad_norm": 0.
|
138 |
"learning_rate": 4.385964912280702e-06,
|
139 |
-
"loss": 0.
|
140 |
"step": 160
|
141 |
},
|
142 |
{
|
143 |
"epoch": 2.982456140350877,
|
144 |
-
"grad_norm":
|
145 |
"learning_rate": 4.035087719298246e-06,
|
146 |
-
"loss": 0.
|
147 |
"step": 170
|
148 |
},
|
149 |
{
|
150 |
"epoch": 3.1578947368421053,
|
151 |
-
"grad_norm": 0.
|
152 |
"learning_rate": 3.6842105263157896e-06,
|
153 |
-
"loss": 0.
|
154 |
"step": 180
|
155 |
},
|
156 |
{
|
157 |
"epoch": 3.3333333333333335,
|
158 |
-
"grad_norm": 0.
|
159 |
"learning_rate": 3.3333333333333333e-06,
|
160 |
-
"loss": 0.
|
161 |
"step": 190
|
162 |
},
|
163 |
{
|
164 |
"epoch": 3.5087719298245617,
|
165 |
-
"grad_norm": 0.
|
166 |
"learning_rate": 2.9824561403508774e-06,
|
167 |
-
"loss": 0.
|
168 |
"step": 200
|
169 |
},
|
170 |
{
|
@@ -180,75 +180,75 @@
|
|
180 |
161
|
181 |
]
|
182 |
],
|
183 |
-
"eval_loss": 0.
|
184 |
-
"eval_runtime":
|
185 |
-
"eval_samples_per_second":
|
186 |
-
"eval_steps_per_second": 0.
|
187 |
"step": 200
|
188 |
},
|
189 |
{
|
190 |
"epoch": 3.6842105263157894,
|
191 |
-
"grad_norm": 0.
|
192 |
"learning_rate": 2.631578947368421e-06,
|
193 |
-
"loss": 0.
|
194 |
"step": 210
|
195 |
},
|
196 |
{
|
197 |
"epoch": 3.8596491228070176,
|
198 |
-
"grad_norm": 0.
|
199 |
"learning_rate": 2.280701754385965e-06,
|
200 |
-
"loss": 0.
|
201 |
"step": 220
|
202 |
},
|
203 |
{
|
204 |
"epoch": 4.035087719298246,
|
205 |
-
"grad_norm": 0.
|
206 |
"learning_rate": 1.929824561403509e-06,
|
207 |
-
"loss": 0.
|
208 |
"step": 230
|
209 |
},
|
210 |
{
|
211 |
"epoch": 4.2105263157894735,
|
212 |
-
"grad_norm": 0.
|
213 |
"learning_rate": 1.5789473684210526e-06,
|
214 |
-
"loss": 0.
|
215 |
"step": 240
|
216 |
},
|
217 |
{
|
218 |
"epoch": 4.385964912280702,
|
219 |
-
"grad_norm": 0.
|
220 |
"learning_rate": 1.2280701754385965e-06,
|
221 |
-
"loss": 0.
|
222 |
"step": 250
|
223 |
},
|
224 |
{
|
225 |
"epoch": 4.56140350877193,
|
226 |
-
"grad_norm": 0.
|
227 |
"learning_rate": 8.771929824561404e-07,
|
228 |
-
"loss": 0.
|
229 |
"step": 260
|
230 |
},
|
231 |
{
|
232 |
"epoch": 4.7368421052631575,
|
233 |
-
"grad_norm": 0.
|
234 |
"learning_rate": 5.263157894736843e-07,
|
235 |
-
"loss": 0.
|
236 |
"step": 270
|
237 |
},
|
238 |
{
|
239 |
"epoch": 4.912280701754386,
|
240 |
-
"grad_norm": 0.
|
241 |
"learning_rate": 1.7543859649122808e-07,
|
242 |
-
"loss": 0.
|
243 |
"step": 280
|
244 |
},
|
245 |
{
|
246 |
"epoch": 5.0,
|
247 |
"step": 285,
|
248 |
"total_flos": 7.020774259082035e+17,
|
249 |
-
"train_loss": 0.
|
250 |
-
"train_runtime":
|
251 |
-
"train_samples_per_second": 3.
|
252 |
"train_steps_per_second": 0.099
|
253 |
}
|
254 |
],
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.10691466927528381,
|
3 |
"best_model_checkpoint": "/home/projects/Project - Fundus Photo Glaucoma Detection (AI)//model_results/vit-base-gpu/checkpoint-200",
|
4 |
"epoch": 5.0,
|
5 |
"eval_steps": 100,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.17543859649122806,
|
13 |
+
"grad_norm": 1.0408214330673218,
|
14 |
"learning_rate": 9.649122807017545e-06,
|
15 |
+
"loss": 0.6273,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.3508771929824561,
|
20 |
+
"grad_norm": 2.3301267623901367,
|
21 |
"learning_rate": 9.298245614035088e-06,
|
22 |
+
"loss": 0.5016,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 0.5263157894736842,
|
27 |
+
"grad_norm": 1.2897900342941284,
|
28 |
"learning_rate": 8.947368421052632e-06,
|
29 |
+
"loss": 0.3726,
|
30 |
"step": 30
|
31 |
},
|
32 |
{
|
33 |
"epoch": 0.7017543859649122,
|
34 |
+
"grad_norm": 1.2317367792129517,
|
35 |
"learning_rate": 8.596491228070176e-06,
|
36 |
+
"loss": 0.2889,
|
37 |
"step": 40
|
38 |
},
|
39 |
{
|
40 |
"epoch": 0.8771929824561403,
|
41 |
+
"grad_norm": 0.6814886331558228,
|
42 |
"learning_rate": 8.24561403508772e-06,
|
43 |
+
"loss": 0.2442,
|
44 |
"step": 50
|
45 |
},
|
46 |
{
|
47 |
"epoch": 1.0526315789473684,
|
48 |
+
"grad_norm": 0.7818458080291748,
|
49 |
"learning_rate": 7.894736842105265e-06,
|
50 |
+
"loss": 0.1655,
|
51 |
"step": 60
|
52 |
},
|
53 |
{
|
54 |
"epoch": 1.2280701754385965,
|
55 |
+
"grad_norm": 0.5145708322525024,
|
56 |
"learning_rate": 7.5438596491228074e-06,
|
57 |
+
"loss": 0.1518,
|
58 |
"step": 70
|
59 |
},
|
60 |
{
|
61 |
"epoch": 1.4035087719298245,
|
62 |
+
"grad_norm": 0.5460637807846069,
|
63 |
"learning_rate": 7.192982456140352e-06,
|
64 |
+
"loss": 0.1489,
|
65 |
"step": 80
|
66 |
},
|
67 |
{
|
68 |
"epoch": 1.5789473684210527,
|
69 |
+
"grad_norm": 0.5549706816673279,
|
70 |
"learning_rate": 6.842105263157896e-06,
|
71 |
+
"loss": 0.1214,
|
72 |
"step": 90
|
73 |
},
|
74 |
{
|
75 |
"epoch": 1.7543859649122808,
|
76 |
+
"grad_norm": 0.3951248824596405,
|
77 |
"learning_rate": 6.491228070175439e-06,
|
78 |
+
"loss": 0.1191,
|
79 |
"step": 100
|
80 |
},
|
81 |
{
|
|
|
91 |
161
|
92 |
]
|
93 |
],
|
94 |
+
"eval_loss": 0.152234748005867,
|
95 |
+
"eval_runtime": 25.6232,
|
96 |
+
"eval_samples_per_second": 8.859,
|
97 |
+
"eval_steps_per_second": 0.312,
|
98 |
"step": 100
|
99 |
},
|
100 |
{
|
101 |
"epoch": 1.9298245614035088,
|
102 |
+
"grad_norm": 3.548973798751831,
|
103 |
"learning_rate": 6.140350877192983e-06,
|
104 |
+
"loss": 0.1237,
|
105 |
"step": 110
|
106 |
},
|
107 |
{
|
108 |
"epoch": 2.1052631578947367,
|
109 |
+
"grad_norm": 0.8018013834953308,
|
110 |
"learning_rate": 5.789473684210527e-06,
|
111 |
+
"loss": 0.107,
|
112 |
"step": 120
|
113 |
},
|
114 |
{
|
115 |
"epoch": 2.280701754385965,
|
116 |
+
"grad_norm": 0.44410237669944763,
|
117 |
"learning_rate": 5.438596491228071e-06,
|
118 |
+
"loss": 0.1164,
|
119 |
"step": 130
|
120 |
},
|
121 |
{
|
122 |
"epoch": 2.456140350877193,
|
123 |
+
"grad_norm": 0.38201433420181274,
|
124 |
"learning_rate": 5.087719298245615e-06,
|
125 |
+
"loss": 0.0798,
|
126 |
"step": 140
|
127 |
},
|
128 |
{
|
129 |
"epoch": 2.6315789473684212,
|
130 |
+
"grad_norm": 0.32631874084472656,
|
131 |
"learning_rate": 4.736842105263158e-06,
|
132 |
+
"loss": 0.0899,
|
133 |
"step": 150
|
134 |
},
|
135 |
{
|
136 |
"epoch": 2.807017543859649,
|
137 |
+
"grad_norm": 0.7354286313056946,
|
138 |
"learning_rate": 4.385964912280702e-06,
|
139 |
+
"loss": 0.0839,
|
140 |
"step": 160
|
141 |
},
|
142 |
{
|
143 |
"epoch": 2.982456140350877,
|
144 |
+
"grad_norm": 0.7380229234695435,
|
145 |
"learning_rate": 4.035087719298246e-06,
|
146 |
+
"loss": 0.0815,
|
147 |
"step": 170
|
148 |
},
|
149 |
{
|
150 |
"epoch": 3.1578947368421053,
|
151 |
+
"grad_norm": 0.2998797297477722,
|
152 |
"learning_rate": 3.6842105263157896e-06,
|
153 |
+
"loss": 0.0888,
|
154 |
"step": 180
|
155 |
},
|
156 |
{
|
157 |
"epoch": 3.3333333333333335,
|
158 |
+
"grad_norm": 0.324789434671402,
|
159 |
"learning_rate": 3.3333333333333333e-06,
|
160 |
+
"loss": 0.0868,
|
161 |
"step": 190
|
162 |
},
|
163 |
{
|
164 |
"epoch": 3.5087719298245617,
|
165 |
+
"grad_norm": 0.5307926535606384,
|
166 |
"learning_rate": 2.9824561403508774e-06,
|
167 |
+
"loss": 0.0899,
|
168 |
"step": 200
|
169 |
},
|
170 |
{
|
|
|
180 |
161
|
181 |
]
|
182 |
],
|
183 |
+
"eval_loss": 0.10691466927528381,
|
184 |
+
"eval_runtime": 24.2322,
|
185 |
+
"eval_samples_per_second": 9.368,
|
186 |
+
"eval_steps_per_second": 0.33,
|
187 |
"step": 200
|
188 |
},
|
189 |
{
|
190 |
"epoch": 3.6842105263157894,
|
191 |
+
"grad_norm": 0.2680317461490631,
|
192 |
"learning_rate": 2.631578947368421e-06,
|
193 |
+
"loss": 0.0987,
|
194 |
"step": 210
|
195 |
},
|
196 |
{
|
197 |
"epoch": 3.8596491228070176,
|
198 |
+
"grad_norm": 0.373812198638916,
|
199 |
"learning_rate": 2.280701754385965e-06,
|
200 |
+
"loss": 0.0691,
|
201 |
"step": 220
|
202 |
},
|
203 |
{
|
204 |
"epoch": 4.035087719298246,
|
205 |
+
"grad_norm": 0.6366022825241089,
|
206 |
"learning_rate": 1.929824561403509e-06,
|
207 |
+
"loss": 0.1113,
|
208 |
"step": 230
|
209 |
},
|
210 |
{
|
211 |
"epoch": 4.2105263157894735,
|
212 |
+
"grad_norm": 0.3165888786315918,
|
213 |
"learning_rate": 1.5789473684210526e-06,
|
214 |
+
"loss": 0.075,
|
215 |
"step": 240
|
216 |
},
|
217 |
{
|
218 |
"epoch": 4.385964912280702,
|
219 |
+
"grad_norm": 0.2567109167575836,
|
220 |
"learning_rate": 1.2280701754385965e-06,
|
221 |
+
"loss": 0.0567,
|
222 |
"step": 250
|
223 |
},
|
224 |
{
|
225 |
"epoch": 4.56140350877193,
|
226 |
+
"grad_norm": 0.24947808682918549,
|
227 |
"learning_rate": 8.771929824561404e-07,
|
228 |
+
"loss": 0.0557,
|
229 |
"step": 260
|
230 |
},
|
231 |
{
|
232 |
"epoch": 4.7368421052631575,
|
233 |
+
"grad_norm": 0.2490372359752655,
|
234 |
"learning_rate": 5.263157894736843e-07,
|
235 |
+
"loss": 0.0488,
|
236 |
"step": 270
|
237 |
},
|
238 |
{
|
239 |
"epoch": 4.912280701754386,
|
240 |
+
"grad_norm": 0.6002548336982727,
|
241 |
"learning_rate": 1.7543859649122808e-07,
|
242 |
+
"loss": 0.0924,
|
243 |
"step": 280
|
244 |
},
|
245 |
{
|
246 |
"epoch": 5.0,
|
247 |
"step": 285,
|
248 |
"total_flos": 7.020774259082035e+17,
|
249 |
+
"train_loss": 0.15237279649366411,
|
250 |
+
"train_runtime": 2884.1273,
|
251 |
+
"train_samples_per_second": 3.162,
|
252 |
"train_steps_per_second": 0.099
|
253 |
}
|
254 |
],
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5240
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d48392963a28e443df7f7049935e99f6dd751c4e47e1986efdc14051da4dcefa
|
3 |
size 5240
|