jerlawson13 commited on
Commit
85b1242
·
verified ·
1 Parent(s): da47ee2

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": 0.1566001436166596,
9
- "train_runtime": 2850.1536,
10
- "train_samples_per_second": 3.2,
11
- "train_steps_per_second": 0.1
12
  }
 
5
  "eval_samples_per_second": 9.337,
6
  "eval_steps_per_second": 0.294,
7
  "total_flos": 7.020774259082035e+17,
8
+ "train_loss": 0.1542712652892397,
9
+ "train_runtime": 2868.9315,
10
+ "train_samples_per_second": 3.179,
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 sha256:42cf82b62b6d823e14720710a7cb252c7dc6fa8a4e53005a3e2b0a32eb494d92
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e06478adc942e5c98492dfcf5e1ccecd7a5d4aabc4b6628ba6e29d768ea6d33
3
  size 343223968
runs/Jul23_12-57-29_REDLGLAUCORE01/events.out.tfevents.1721767562.REDLGLAUCORE01.547362.21 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5ec0c80ec2f2bfcf3f2424c0204299377e8a20a44bbf1d60db29f1f0cd5183f
3
+ size 1057
runs/Jul23_14-08-36_REDLGLAUCORE01/events.out.tfevents.1721768917.REDLGLAUCORE01.547362.23 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9b0af0c18bd11971e76662931066af4f2eaaba517de1f4b9be7ba03c3de5983
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": 0.1566001436166596,
5
- "train_runtime": 2850.1536,
6
- "train_samples_per_second": 3.2,
7
- "train_steps_per_second": 0.1
8
  }
 
1
  {
2
  "epoch": 5.0,
3
  "total_flos": 7.020774259082035e+17,
4
+ "train_loss": 0.1542712652892397,
5
+ "train_runtime": 2868.9315,
6
+ "train_samples_per_second": 3.179,
7
+ "train_steps_per_second": 0.099
8
  }
trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 0.10913512110710144,
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": 0.9124495983123779,
14
  "learning_rate": 9.649122807017545e-06,
15
- "loss": 0.6422,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.3508771929824561,
20
- "grad_norm": 1.400277853012085,
21
  "learning_rate": 9.298245614035088e-06,
22
- "loss": 0.5107,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.5263157894736842,
27
- "grad_norm": 1.2670001983642578,
28
  "learning_rate": 8.947368421052632e-06,
29
- "loss": 0.4099,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.7017543859649122,
34
- "grad_norm": 1.2379003763198853,
35
  "learning_rate": 8.596491228070176e-06,
36
- "loss": 0.3261,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.8771929824561403,
41
- "grad_norm": 1.3035060167312622,
42
  "learning_rate": 8.24561403508772e-06,
43
- "loss": 0.278,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 1.0526315789473684,
48
- "grad_norm": 0.7487425804138184,
49
  "learning_rate": 7.894736842105265e-06,
50
- "loss": 0.1874,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.2280701754385965,
55
- "grad_norm": 1.2215185165405273,
56
  "learning_rate": 7.5438596491228074e-06,
57
- "loss": 0.1672,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.4035087719298245,
62
- "grad_norm": 0.8201051950454712,
63
  "learning_rate": 7.192982456140352e-06,
64
- "loss": 0.1454,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.5789473684210527,
69
- "grad_norm": 1.6430377960205078,
70
  "learning_rate": 6.842105263157896e-06,
71
- "loss": 0.1211,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.7543859649122808,
76
- "grad_norm": 3.366523504257202,
77
  "learning_rate": 6.491228070175439e-06,
78
- "loss": 0.124,
79
  "step": 100
80
  },
81
  {
@@ -91,165 +91,165 @@
91
  161
92
  ]
93
  ],
94
- "eval_loss": 0.16817055642604828,
95
- "eval_runtime": 25.0148,
96
- "eval_samples_per_second": 9.075,
97
- "eval_steps_per_second": 0.32,
98
  "step": 100
99
  },
100
  {
101
  "epoch": 1.9298245614035088,
102
- "grad_norm": 5.223181247711182,
103
  "learning_rate": 6.140350877192983e-06,
104
- "loss": 0.1256,
105
  "step": 110
106
  },
107
  {
108
  "epoch": 2.1052631578947367,
109
- "grad_norm": 0.456160306930542,
110
  "learning_rate": 5.789473684210527e-06,
111
- "loss": 0.1073,
112
  "step": 120
113
  },
114
  {
115
  "epoch": 2.280701754385965,
116
- "grad_norm": 0.40346741676330566,
117
  "learning_rate": 5.438596491228071e-06,
118
- "loss": 0.1071,
119
  "step": 130
120
  },
121
  {
122
  "epoch": 2.456140350877193,
123
- "grad_norm": 0.3802075684070587,
124
  "learning_rate": 5.087719298245615e-06,
125
- "loss": 0.0769,
126
  "step": 140
127
  },
128
  {
129
  "epoch": 2.6315789473684212,
130
- "grad_norm": 0.29936113953590393,
131
  "learning_rate": 4.736842105263158e-06,
132
- "loss": 0.0904,
133
  "step": 150
134
  },
135
  {
136
  "epoch": 2.807017543859649,
137
- "grad_norm": 0.5365840792655945,
138
  "learning_rate": 4.385964912280702e-06,
139
- "loss": 0.0815,
140
  "step": 160
141
  },
142
  {
143
  "epoch": 2.982456140350877,
144
- "grad_norm": 3.9614758491516113,
145
  "learning_rate": 4.035087719298246e-06,
146
- "loss": 0.0836,
147
  "step": 170
148
  },
149
  {
150
  "epoch": 3.1578947368421053,
151
- "grad_norm": 0.2877553701400757,
152
  "learning_rate": 3.6842105263157896e-06,
153
- "loss": 0.086,
154
  "step": 180
155
  },
156
  {
157
  "epoch": 3.3333333333333335,
158
- "grad_norm": 0.27285733819007874,
159
  "learning_rate": 3.3333333333333333e-06,
160
- "loss": 0.0808,
161
  "step": 190
162
  },
163
  {
164
  "epoch": 3.5087719298245617,
165
- "grad_norm": 1.5225030183792114,
166
  "learning_rate": 2.9824561403508774e-06,
167
- "loss": 0.0881,
168
  "step": 200
169
  },
170
  {
171
  "epoch": 3.5087719298245617,
172
- "eval_accuracy": 0.9779735682819384,
173
  "eval_confusion_matrix": [
174
  [
175
- 61,
176
- 5
177
  ],
178
  [
179
  0,
180
  161
181
  ]
182
  ],
183
- "eval_loss": 0.10913512110710144,
184
- "eval_runtime": 24.033,
185
- "eval_samples_per_second": 9.445,
186
  "eval_steps_per_second": 0.333,
187
  "step": 200
188
  },
189
  {
190
  "epoch": 3.6842105263157894,
191
- "grad_norm": 0.2580512762069702,
192
  "learning_rate": 2.631578947368421e-06,
193
- "loss": 0.1032,
194
  "step": 210
195
  },
196
  {
197
  "epoch": 3.8596491228070176,
198
- "grad_norm": 0.5844484567642212,
199
  "learning_rate": 2.280701754385965e-06,
200
- "loss": 0.0662,
201
  "step": 220
202
  },
203
  {
204
  "epoch": 4.035087719298246,
205
- "grad_norm": 0.8993027210235596,
206
  "learning_rate": 1.929824561403509e-06,
207
- "loss": 0.0954,
208
  "step": 230
209
  },
210
  {
211
  "epoch": 4.2105263157894735,
212
- "grad_norm": 0.35451096296310425,
213
  "learning_rate": 1.5789473684210526e-06,
214
- "loss": 0.0752,
215
  "step": 240
216
  },
217
  {
218
  "epoch": 4.385964912280702,
219
- "grad_norm": 0.27109700441360474,
220
  "learning_rate": 1.2280701754385965e-06,
221
- "loss": 0.0563,
222
  "step": 250
223
  },
224
  {
225
  "epoch": 4.56140350877193,
226
- "grad_norm": 0.24192890524864197,
227
  "learning_rate": 8.771929824561404e-07,
228
- "loss": 0.0535,
229
  "step": 260
230
  },
231
  {
232
  "epoch": 4.7368421052631575,
233
- "grad_norm": 0.2452133148908615,
234
  "learning_rate": 5.263157894736843e-07,
235
- "loss": 0.0405,
236
  "step": 270
237
  },
238
  {
239
  "epoch": 4.912280701754386,
240
- "grad_norm": 0.4464854598045349,
241
  "learning_rate": 1.7543859649122808e-07,
242
- "loss": 0.0869,
243
  "step": 280
244
  },
245
  {
246
  "epoch": 5.0,
247
  "step": 285,
248
  "total_flos": 7.020774259082035e+17,
249
- "train_loss": 0.1566001436166596,
250
- "train_runtime": 2850.1536,
251
- "train_samples_per_second": 3.2,
252
- "train_steps_per_second": 0.1
253
  }
254
  ],
255
  "logging_steps": 10,
 
1
  {
2
+ "best_metric": 0.10512479394674301,
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": 1.762933373451233,
14
  "learning_rate": 9.649122807017545e-06,
15
+ "loss": 0.5817,
16
  "step": 10
17
  },
18
  {
19
  "epoch": 0.3508771929824561,
20
+ "grad_norm": 1.567679762840271,
21
  "learning_rate": 9.298245614035088e-06,
22
+ "loss": 0.4467,
23
  "step": 20
24
  },
25
  {
26
  "epoch": 0.5263157894736842,
27
+ "grad_norm": 1.3810224533081055,
28
  "learning_rate": 8.947368421052632e-06,
29
+ "loss": 0.3667,
30
  "step": 30
31
  },
32
  {
33
  "epoch": 0.7017543859649122,
34
+ "grad_norm": 1.4549124240875244,
35
  "learning_rate": 8.596491228070176e-06,
36
+ "loss": 0.2947,
37
  "step": 40
38
  },
39
  {
40
  "epoch": 0.8771929824561403,
41
+ "grad_norm": 0.9504640102386475,
42
  "learning_rate": 8.24561403508772e-06,
43
+ "loss": 0.2705,
44
  "step": 50
45
  },
46
  {
47
  "epoch": 1.0526315789473684,
48
+ "grad_norm": 0.7635705471038818,
49
  "learning_rate": 7.894736842105265e-06,
50
+ "loss": 0.1962,
51
  "step": 60
52
  },
53
  {
54
  "epoch": 1.2280701754385965,
55
+ "grad_norm": 0.7457385063171387,
56
  "learning_rate": 7.5438596491228074e-06,
57
+ "loss": 0.1838,
58
  "step": 70
59
  },
60
  {
61
  "epoch": 1.4035087719298245,
62
+ "grad_norm": 0.7596029043197632,
63
  "learning_rate": 7.192982456140352e-06,
64
+ "loss": 0.1583,
65
  "step": 80
66
  },
67
  {
68
  "epoch": 1.5789473684210527,
69
+ "grad_norm": 1.0756629705429077,
70
  "learning_rate": 6.842105263157896e-06,
71
+ "loss": 0.1294,
72
  "step": 90
73
  },
74
  {
75
  "epoch": 1.7543859649122808,
76
+ "grad_norm": 0.8500545024871826,
77
  "learning_rate": 6.491228070175439e-06,
78
+ "loss": 0.1311,
79
  "step": 100
80
  },
81
  {
 
91
  161
92
  ]
93
  ],
94
+ "eval_loss": 0.15690478682518005,
95
+ "eval_runtime": 24.1707,
96
+ "eval_samples_per_second": 9.392,
97
+ "eval_steps_per_second": 0.331,
98
  "step": 100
99
  },
100
  {
101
  "epoch": 1.9298245614035088,
102
+ "grad_norm": 2.896561861038208,
103
  "learning_rate": 6.140350877192983e-06,
104
+ "loss": 0.1334,
105
  "step": 110
106
  },
107
  {
108
  "epoch": 2.1052631578947367,
109
+ "grad_norm": 0.3675668239593506,
110
  "learning_rate": 5.789473684210527e-06,
111
+ "loss": 0.1151,
112
  "step": 120
113
  },
114
  {
115
  "epoch": 2.280701754385965,
116
+ "grad_norm": 0.46107763051986694,
117
  "learning_rate": 5.438596491228071e-06,
118
+ "loss": 0.1217,
119
  "step": 130
120
  },
121
  {
122
  "epoch": 2.456140350877193,
123
+ "grad_norm": 0.46047243475914,
124
  "learning_rate": 5.087719298245615e-06,
125
+ "loss": 0.0809,
126
  "step": 140
127
  },
128
  {
129
  "epoch": 2.6315789473684212,
130
+ "grad_norm": 0.33362969756126404,
131
  "learning_rate": 4.736842105263158e-06,
132
+ "loss": 0.0935,
133
  "step": 150
134
  },
135
  {
136
  "epoch": 2.807017543859649,
137
+ "grad_norm": 0.4287916421890259,
138
  "learning_rate": 4.385964912280702e-06,
139
+ "loss": 0.0855,
140
  "step": 160
141
  },
142
  {
143
  "epoch": 2.982456140350877,
144
+ "grad_norm": 0.4844302237033844,
145
  "learning_rate": 4.035087719298246e-06,
146
+ "loss": 0.0845,
147
  "step": 170
148
  },
149
  {
150
  "epoch": 3.1578947368421053,
151
+ "grad_norm": 0.3423462212085724,
152
  "learning_rate": 3.6842105263157896e-06,
153
+ "loss": 0.0911,
154
  "step": 180
155
  },
156
  {
157
  "epoch": 3.3333333333333335,
158
+ "grad_norm": 0.288198322057724,
159
  "learning_rate": 3.3333333333333333e-06,
160
+ "loss": 0.0855,
161
  "step": 190
162
  },
163
  {
164
  "epoch": 3.5087719298245617,
165
+ "grad_norm": 0.5208536982536316,
166
  "learning_rate": 2.9824561403508774e-06,
167
+ "loss": 0.0929,
168
  "step": 200
169
  },
170
  {
171
  "epoch": 3.5087719298245617,
172
+ "eval_accuracy": 0.9823788546255506,
173
  "eval_confusion_matrix": [
174
  [
175
+ 62,
176
+ 4
177
  ],
178
  [
179
  0,
180
  161
181
  ]
182
  ],
183
+ "eval_loss": 0.10512479394674301,
184
+ "eval_runtime": 24.0408,
185
+ "eval_samples_per_second": 9.442,
186
  "eval_steps_per_second": 0.333,
187
  "step": 200
188
  },
189
  {
190
  "epoch": 3.6842105263157894,
191
+ "grad_norm": 0.3295786380767822,
192
  "learning_rate": 2.631578947368421e-06,
193
+ "loss": 0.1019,
194
  "step": 210
195
  },
196
  {
197
  "epoch": 3.8596491228070176,
198
+ "grad_norm": 0.4086381196975708,
199
  "learning_rate": 2.280701754385965e-06,
200
+ "loss": 0.069,
201
  "step": 220
202
  },
203
  {
204
  "epoch": 4.035087719298246,
205
+ "grad_norm": 0.7247630953788757,
206
  "learning_rate": 1.929824561403509e-06,
207
+ "loss": 0.1078,
208
  "step": 230
209
  },
210
  {
211
  "epoch": 4.2105263157894735,
212
+ "grad_norm": 0.37916073203086853,
213
  "learning_rate": 1.5789473684210526e-06,
214
+ "loss": 0.0757,
215
  "step": 240
216
  },
217
  {
218
  "epoch": 4.385964912280702,
219
+ "grad_norm": 0.26061660051345825,
220
  "learning_rate": 1.2280701754385965e-06,
221
+ "loss": 0.0572,
222
  "step": 250
223
  },
224
  {
225
  "epoch": 4.56140350877193,
226
+ "grad_norm": 0.259589284658432,
227
  "learning_rate": 8.771929824561404e-07,
228
+ "loss": 0.0545,
229
  "step": 260
230
  },
231
  {
232
  "epoch": 4.7368421052631575,
233
+ "grad_norm": 0.25950363278388977,
234
  "learning_rate": 5.263157894736843e-07,
235
+ "loss": 0.0447,
236
  "step": 270
237
  },
238
  {
239
  "epoch": 4.912280701754386,
240
+ "grad_norm": 0.4733501970767975,
241
  "learning_rate": 1.7543859649122808e-07,
242
+ "loss": 0.0958,
243
  "step": 280
244
  },
245
  {
246
  "epoch": 5.0,
247
  "step": 285,
248
  "total_flos": 7.020774259082035e+17,
249
+ "train_loss": 0.1542712652892397,
250
+ "train_runtime": 2868.9315,
251
+ "train_samples_per_second": 3.179,
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 sha256:9a918e9d2444d2d031c19a1c82f4000ad8b839b20b58e9435864a7279430830b
3
  size 5240
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c1c361d3cbac2a92ed11a391a07e944283c5f829d07e39a2674baa3e68a4b34
3
  size 5240