jerlawson13 commited on
Commit
8c5a3a6
·
verified ·
1 Parent(s): 16b3a0e

Training in progress, step 100

Browse files
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": 0.16532422492378637,
9
- "train_runtime": 2902.1592,
10
- "train_samples_per_second": 3.142,
11
- "train_steps_per_second": 0.098
12
  }
 
5
  "eval_samples_per_second": 9.337,
6
  "eval_steps_per_second": 0.294,
7
  "total_flos": 7.020774259082035e+17,
8
+ "train_loss": 0.1531961118965818,
9
+ "train_runtime": 2875.9174,
10
+ "train_samples_per_second": 3.171,
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:abe2e52cb11b17a81e2dccc2b6f40ca0242bd66391d4ed5e288b5d3cb3b9f9b4
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27044ae21861e192102e42e9992dbd0ca1ac677f4d5e25fb259d962805ba57e0
3
  size 343223968
runs/Jul25_12-18-37_REDLGLAUCORE01/events.out.tfevents.1721938038.REDLGLAUCORE01.547362.52 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:214e196a5f7cb921305520b6a2b6e1f87948fd29e230a1837ec326d58a6e08bf
3
+ size 1057
runs/Jul25_13-41-21_REDLGLAUCORE01/events.out.tfevents.1721940081.REDLGLAUCORE01.547362.54 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75d8e6bb931790eff68fb2304865f1ec000cc5b642a42d70abad28c21a254d54
3
+ size 4184
runs/Jul25_13-41-47_REDLGLAUCORE01/events.out.tfevents.1721940107.REDLGLAUCORE01.848854.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a6c0b97513708a49ef1f12d474ea4bd8816c58d603aa5022e8450dd614c6632
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": 0.16532422492378637,
5
- "train_runtime": 2902.1592,
6
- "train_samples_per_second": 3.142,
7
- "train_steps_per_second": 0.098
8
  }
 
1
  {
2
  "epoch": 5.0,
3
  "total_flos": 7.020774259082035e+17,
4
+ "train_loss": 0.1531961118965818,
5
+ "train_runtime": 2875.9174,
6
+ "train_samples_per_second": 3.171,
7
+ "train_steps_per_second": 0.099
8
  }
trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 0.11641146242618561,
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": 1.276576280593872,
14
  "learning_rate": 9.649122807017545e-06,
15
- "loss": 0.6232,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.3508771929824561,
20
- "grad_norm": 1.7671723365783691,
21
  "learning_rate": 9.298245614035088e-06,
22
- "loss": 0.4728,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.5263157894736842,
27
- "grad_norm": 1.358464241027832,
28
  "learning_rate": 8.947368421052632e-06,
29
- "loss": 0.3828,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.7017543859649122,
34
- "grad_norm": 1.4662245512008667,
35
  "learning_rate": 8.596491228070176e-06,
36
- "loss": 0.3042,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.8771929824561403,
41
- "grad_norm": 1.1634291410446167,
42
  "learning_rate": 8.24561403508772e-06,
43
- "loss": 0.286,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 1.0526315789473684,
48
- "grad_norm": 0.8176971077919006,
49
  "learning_rate": 7.894736842105265e-06,
50
- "loss": 0.2169,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.2280701754385965,
55
- "grad_norm": 0.6673957705497742,
56
  "learning_rate": 7.5438596491228074e-06,
57
- "loss": 0.2044,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.4035087719298245,
62
- "grad_norm": 1.1810154914855957,
63
  "learning_rate": 7.192982456140352e-06,
64
- "loss": 0.1821,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.5789473684210527,
69
- "grad_norm": 0.759559690952301,
70
  "learning_rate": 6.842105263157896e-06,
71
- "loss": 0.1558,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.7543859649122808,
76
- "grad_norm": 0.4498167037963867,
77
  "learning_rate": 6.491228070175439e-06,
78
- "loss": 0.149,
79
  "step": 100
80
  },
81
  {
@@ -91,80 +91,80 @@
91
  161
92
  ]
93
  ],
94
- "eval_loss": 0.17813891172409058,
95
- "eval_runtime": 25.2489,
96
- "eval_samples_per_second": 8.99,
97
- "eval_steps_per_second": 0.317,
98
  "step": 100
99
  },
100
  {
101
  "epoch": 1.9298245614035088,
102
- "grad_norm": 4.42154598236084,
103
  "learning_rate": 6.140350877192983e-06,
104
- "loss": 0.1435,
105
  "step": 110
106
  },
107
  {
108
  "epoch": 2.1052631578947367,
109
- "grad_norm": 0.48428404331207275,
110
  "learning_rate": 5.789473684210527e-06,
111
- "loss": 0.1275,
112
  "step": 120
113
  },
114
  {
115
  "epoch": 2.280701754385965,
116
- "grad_norm": 0.41149669885635376,
117
  "learning_rate": 5.438596491228071e-06,
118
- "loss": 0.1291,
119
  "step": 130
120
  },
121
  {
122
  "epoch": 2.456140350877193,
123
- "grad_norm": 0.49232661724090576,
124
  "learning_rate": 5.087719298245615e-06,
125
- "loss": 0.0896,
126
  "step": 140
127
  },
128
  {
129
  "epoch": 2.6315789473684212,
130
- "grad_norm": 0.36095741391181946,
131
  "learning_rate": 4.736842105263158e-06,
132
- "loss": 0.0997,
133
  "step": 150
134
  },
135
  {
136
  "epoch": 2.807017543859649,
137
- "grad_norm": 0.4267736077308655,
138
  "learning_rate": 4.385964912280702e-06,
139
- "loss": 0.0925,
140
  "step": 160
141
  },
142
  {
143
  "epoch": 2.982456140350877,
144
- "grad_norm": 1.9955291748046875,
145
  "learning_rate": 4.035087719298246e-06,
146
- "loss": 0.0907,
147
  "step": 170
148
  },
149
  {
150
  "epoch": 3.1578947368421053,
151
- "grad_norm": 0.3319329619407654,
152
  "learning_rate": 3.6842105263157896e-06,
153
- "loss": 0.0979,
154
  "step": 180
155
  },
156
  {
157
  "epoch": 3.3333333333333335,
158
- "grad_norm": 0.35440099239349365,
159
  "learning_rate": 3.3333333333333333e-06,
160
- "loss": 0.0886,
161
  "step": 190
162
  },
163
  {
164
  "epoch": 3.5087719298245617,
165
- "grad_norm": 0.5289174318313599,
166
  "learning_rate": 2.9824561403508774e-06,
167
- "loss": 0.0996,
168
  "step": 200
169
  },
170
  {
@@ -180,76 +180,76 @@
180
  161
181
  ]
182
  ],
183
- "eval_loss": 0.11641146242618561,
184
- "eval_runtime": 25.5874,
185
- "eval_samples_per_second": 8.872,
186
- "eval_steps_per_second": 0.313,
187
  "step": 200
188
  },
189
  {
190
  "epoch": 3.6842105263157894,
191
- "grad_norm": 0.3807942569255829,
192
  "learning_rate": 2.631578947368421e-06,
193
- "loss": 0.1028,
194
  "step": 210
195
  },
196
  {
197
  "epoch": 3.8596491228070176,
198
- "grad_norm": 0.6208366751670837,
199
  "learning_rate": 2.280701754385965e-06,
200
- "loss": 0.0741,
201
  "step": 220
202
  },
203
  {
204
  "epoch": 4.035087719298246,
205
- "grad_norm": 0.7710980176925659,
206
  "learning_rate": 1.929824561403509e-06,
207
- "loss": 0.1073,
208
  "step": 230
209
  },
210
  {
211
  "epoch": 4.2105263157894735,
212
- "grad_norm": 0.36691102385520935,
213
  "learning_rate": 1.5789473684210526e-06,
214
- "loss": 0.0777,
215
  "step": 240
216
  },
217
  {
218
  "epoch": 4.385964912280702,
219
- "grad_norm": 0.29168033599853516,
220
  "learning_rate": 1.2280701754385965e-06,
221
- "loss": 0.0614,
222
  "step": 250
223
  },
224
  {
225
  "epoch": 4.56140350877193,
226
- "grad_norm": 0.2981802821159363,
227
  "learning_rate": 8.771929824561404e-07,
228
- "loss": 0.0601,
229
  "step": 260
230
  },
231
  {
232
  "epoch": 4.7368421052631575,
233
- "grad_norm": 0.28405195474624634,
234
  "learning_rate": 5.263157894736843e-07,
235
- "loss": 0.0525,
236
  "step": 270
237
  },
238
  {
239
  "epoch": 4.912280701754386,
240
- "grad_norm": 0.5508224964141846,
241
  "learning_rate": 1.7543859649122808e-07,
242
- "loss": 0.0904,
243
  "step": 280
244
  },
245
  {
246
  "epoch": 5.0,
247
  "step": 285,
248
  "total_flos": 7.020774259082035e+17,
249
- "train_loss": 0.16532422492378637,
250
- "train_runtime": 2902.1592,
251
- "train_samples_per_second": 3.142,
252
- "train_steps_per_second": 0.098
253
  }
254
  ],
255
  "logging_steps": 10,
 
1
  {
2
+ "best_metric": 0.10786318778991699,
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": 1.040859341621399,
14
  "learning_rate": 9.649122807017545e-06,
15
+ "loss": 0.6273,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.3508771929824561,
20
+ "grad_norm": 2.026184320449829,
21
  "learning_rate": 9.298245614035088e-06,
22
+ "loss": 0.5031,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.5263157894736842,
27
+ "grad_norm": 1.257366418838501,
28
  "learning_rate": 8.947368421052632e-06,
29
+ "loss": 0.3756,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.7017543859649122,
34
+ "grad_norm": 1.3905006647109985,
35
  "learning_rate": 8.596491228070176e-06,
36
+ "loss": 0.2904,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.8771929824561403,
41
+ "grad_norm": 0.6881418824195862,
42
  "learning_rate": 8.24561403508772e-06,
43
+ "loss": 0.2455,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 1.0526315789473684,
48
+ "grad_norm": 0.7710828185081482,
49
  "learning_rate": 7.894736842105265e-06,
50
+ "loss": 0.1673,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.2280701754385965,
55
+ "grad_norm": 0.5303016304969788,
56
  "learning_rate": 7.5438596491228074e-06,
57
+ "loss": 0.1538,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.4035087719298245,
62
+ "grad_norm": 0.6288256049156189,
63
  "learning_rate": 7.192982456140352e-06,
64
+ "loss": 0.1481,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.5789473684210527,
69
+ "grad_norm": 0.5285879373550415,
70
  "learning_rate": 6.842105263157896e-06,
71
+ "loss": 0.1225,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.7543859649122808,
76
+ "grad_norm": 0.38122934103012085,
77
  "learning_rate": 6.491228070175439e-06,
78
+ "loss": 0.1205,
79
  "step": 100
80
  },
81
  {
 
91
  161
92
  ]
93
  ],
94
+ "eval_loss": 0.15365372598171234,
95
+ "eval_runtime": 24.6174,
96
+ "eval_samples_per_second": 9.221,
97
+ "eval_steps_per_second": 0.325,
98
  "step": 100
99
  },
100
  {
101
  "epoch": 1.9298245614035088,
102
+ "grad_norm": 3.56727933883667,
103
  "learning_rate": 6.140350877192983e-06,
104
+ "loss": 0.1245,
105
  "step": 110
106
  },
107
  {
108
  "epoch": 2.1052631578947367,
109
+ "grad_norm": 0.666450023651123,
110
  "learning_rate": 5.789473684210527e-06,
111
+ "loss": 0.1098,
112
  "step": 120
113
  },
114
  {
115
  "epoch": 2.280701754385965,
116
+ "grad_norm": 0.4389030337333679,
117
  "learning_rate": 5.438596491228071e-06,
118
+ "loss": 0.116,
119
  "step": 130
120
  },
121
  {
122
  "epoch": 2.456140350877193,
123
+ "grad_norm": 0.3686705231666565,
124
  "learning_rate": 5.087719298245615e-06,
125
+ "loss": 0.0804,
126
  "step": 140
127
  },
128
  {
129
  "epoch": 2.6315789473684212,
130
+ "grad_norm": 0.33245834708213806,
131
  "learning_rate": 4.736842105263158e-06,
132
+ "loss": 0.0902,
133
  "step": 150
134
  },
135
  {
136
  "epoch": 2.807017543859649,
137
+ "grad_norm": 0.7682990431785583,
138
  "learning_rate": 4.385964912280702e-06,
139
+ "loss": 0.0842,
140
  "step": 160
141
  },
142
  {
143
  "epoch": 2.982456140350877,
144
+ "grad_norm": 1.1344654560089111,
145
  "learning_rate": 4.035087719298246e-06,
146
+ "loss": 0.0814,
147
  "step": 170
148
  },
149
  {
150
  "epoch": 3.1578947368421053,
151
+ "grad_norm": 0.29541823267936707,
152
  "learning_rate": 3.6842105263157896e-06,
153
+ "loss": 0.0901,
154
  "step": 180
155
  },
156
  {
157
  "epoch": 3.3333333333333335,
158
+ "grad_norm": 0.3355918228626251,
159
  "learning_rate": 3.3333333333333333e-06,
160
+ "loss": 0.0873,
161
  "step": 190
162
  },
163
  {
164
  "epoch": 3.5087719298245617,
165
+ "grad_norm": 0.591694176197052,
166
  "learning_rate": 2.9824561403508774e-06,
167
+ "loss": 0.0925,
168
  "step": 200
169
  },
170
  {
 
180
  161
181
  ]
182
  ],
183
+ "eval_loss": 0.10786318778991699,
184
+ "eval_runtime": 25.607,
185
+ "eval_samples_per_second": 8.865,
186
+ "eval_steps_per_second": 0.312,
187
  "step": 200
188
  },
189
  {
190
  "epoch": 3.6842105263157894,
191
+ "grad_norm": 0.272243857383728,
192
  "learning_rate": 2.631578947368421e-06,
193
+ "loss": 0.0988,
194
  "step": 210
195
  },
196
  {
197
  "epoch": 3.8596491228070176,
198
+ "grad_norm": 0.3665495216846466,
199
  "learning_rate": 2.280701754385965e-06,
200
+ "loss": 0.0696,
201
  "step": 220
202
  },
203
  {
204
  "epoch": 4.035087719298246,
205
+ "grad_norm": 0.5697764158248901,
206
  "learning_rate": 1.929824561403509e-06,
207
+ "loss": 0.1108,
208
  "step": 230
209
  },
210
  {
211
  "epoch": 4.2105263157894735,
212
+ "grad_norm": 0.2947655916213989,
213
  "learning_rate": 1.5789473684210526e-06,
214
+ "loss": 0.0753,
215
  "step": 240
216
  },
217
  {
218
  "epoch": 4.385964912280702,
219
+ "grad_norm": 0.250372976064682,
220
  "learning_rate": 1.2280701754385965e-06,
221
+ "loss": 0.0568,
222
  "step": 250
223
  },
224
  {
225
  "epoch": 4.56140350877193,
226
+ "grad_norm": 0.24977755546569824,
227
  "learning_rate": 8.771929824561404e-07,
228
+ "loss": 0.056,
229
  "step": 260
230
  },
231
  {
232
  "epoch": 4.7368421052631575,
233
+ "grad_norm": 0.2509959042072296,
234
  "learning_rate": 5.263157894736843e-07,
235
+ "loss": 0.0495,
236
  "step": 270
237
  },
238
  {
239
  "epoch": 4.912280701754386,
240
+ "grad_norm": 0.4848049581050873,
241
  "learning_rate": 1.7543859649122808e-07,
242
+ "loss": 0.0922,
243
  "step": 280
244
  },
245
  {
246
  "epoch": 5.0,
247
  "step": 285,
248
  "total_flos": 7.020774259082035e+17,
249
+ "train_loss": 0.1531961118965818,
250
+ "train_runtime": 2875.9174,
251
+ "train_samples_per_second": 3.171,
252
+ "train_steps_per_second": 0.099
253
  }
254
  ],
255
  "logging_steps": 10,
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9bf02dbf635dd7132d5414a7b6df1609bc0998eeaa814356e850cb9332a72661
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d91e7ec7fa23a915ae74c63046509bb159e4d88c5e41f8225ba75aacc01ea4d
3
  size 5240