End of training
Browse files- all_results.json +13 -13
- eval_results.json +9 -9
- pytorch_model.bin +1 -1
- runs/Aug24_18-22-33_bernini/1724516563.6851988/events.out.tfevents.1724516563.bernini.17841.1 +3 -0
- runs/Aug24_18-22-33_bernini/events.out.tfevents.1724516563.bernini.17841.0 +3 -0
- runs/Aug24_18-32-17_bernini/1724517150.2935843/events.out.tfevents.1724517150.bernini.31282.1 +3 -0
- runs/Aug24_18-32-17_bernini/events.out.tfevents.1724517150.bernini.31282.0 +3 -0
- runs/Aug24_18-33-02_bernini/1724517195.431775/events.out.tfevents.1724517195.bernini.32539.1 +3 -0
- runs/Aug24_18-33-02_bernini/events.out.tfevents.1724517195.bernini.32539.0 +3 -0
- runs/Aug24_18-33-02_bernini/events.out.tfevents.1724517626.bernini.32539.2 +3 -0
- train_results.json +5 -5
- trainer_state.json +180 -60
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_f1": 0.
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_precision": 0.
|
7 |
-
"eval_recall": 0.
|
8 |
-
"eval_runtime":
|
9 |
"eval_samples": 54,
|
10 |
-
"eval_samples_per_second":
|
11 |
-
"eval_steps_per_second":
|
12 |
"predict_accuracy": 0.8218373936014088,
|
13 |
"predict_f1": 0.9038133181559477,
|
14 |
"predict_loss": 0.6888472437858582,
|
@@ -17,9 +17,9 @@
|
|
17 |
"predict_runtime": 2.0596,
|
18 |
"predict_samples_per_second": 8.74,
|
19 |
"predict_steps_per_second": 0.971,
|
20 |
-
"train_loss": 0.
|
21 |
-
"train_runtime":
|
22 |
"train_samples": 150,
|
23 |
-
"train_samples_per_second":
|
24 |
-
"train_steps_per_second":
|
25 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 26.67,
|
3 |
+
"eval_accuracy": 0.8414101975195223,
|
4 |
+
"eval_f1": 0.8868156150257795,
|
5 |
+
"eval_loss": 0.6016380190849304,
|
6 |
+
"eval_precision": 0.8712011577424024,
|
7 |
+
"eval_recall": 0.903,
|
8 |
+
"eval_runtime": 3.9126,
|
9 |
"eval_samples": 54,
|
10 |
+
"eval_samples_per_second": 13.801,
|
11 |
+
"eval_steps_per_second": 1.533,
|
12 |
"predict_accuracy": 0.8218373936014088,
|
13 |
"predict_f1": 0.9038133181559477,
|
14 |
"predict_loss": 0.6888472437858582,
|
|
|
17 |
"predict_runtime": 2.0596,
|
18 |
"predict_samples_per_second": 8.74,
|
19 |
"predict_steps_per_second": 0.971,
|
20 |
+
"train_loss": 0.3642783355712891,
|
21 |
+
"train_runtime": 422.1629,
|
22 |
"train_samples": 150,
|
23 |
+
"train_samples_per_second": 9.475,
|
24 |
+
"train_steps_per_second": 0.948
|
25 |
}
|
eval_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_f1": 0.
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_precision": 0.
|
7 |
-
"eval_recall": 0.
|
8 |
-
"eval_runtime":
|
9 |
"eval_samples": 54,
|
10 |
-
"eval_samples_per_second":
|
11 |
-
"eval_steps_per_second":
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 26.67,
|
3 |
+
"eval_accuracy": 0.8414101975195223,
|
4 |
+
"eval_f1": 0.8868156150257795,
|
5 |
+
"eval_loss": 0.6016380190849304,
|
6 |
+
"eval_precision": 0.8712011577424024,
|
7 |
+
"eval_recall": 0.903,
|
8 |
+
"eval_runtime": 3.9126,
|
9 |
"eval_samples": 54,
|
10 |
+
"eval_samples_per_second": 13.801,
|
11 |
+
"eval_steps_per_second": 1.533
|
12 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 501420883
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8356f85a16aec70deef67c107e63fd773b89ce3c9d102cc38b7811b85a8d9f28
|
3 |
size 501420883
|
runs/Aug24_18-22-33_bernini/1724516563.6851988/events.out.tfevents.1724516563.bernini.17841.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d1e8940cb1bbb04e933bcbd75e44e4cc408caedcd13138e70fa304b1bb45082d
|
3 |
+
size 4671
|
runs/Aug24_18-22-33_bernini/events.out.tfevents.1724516563.bernini.17841.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01d0a4d477821d2c2b62e7d108caec6511c646418d088d0de0f0489130766f8f
|
3 |
+
size 4088
|
runs/Aug24_18-32-17_bernini/1724517150.2935843/events.out.tfevents.1724517150.bernini.31282.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:973e343088863c70872623627f05d8a41950c931fb81980efcb6a91b8a765e5c
|
3 |
+
size 4671
|
runs/Aug24_18-32-17_bernini/events.out.tfevents.1724517150.bernini.31282.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1b1e582bc38077dcfc75784c4d8d42dd47878f91fc711614faf3c888bf8d959
|
3 |
+
size 4088
|
runs/Aug24_18-33-02_bernini/1724517195.431775/events.out.tfevents.1724517195.bernini.32539.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3b52a187b8f6cbaded77baa92e421ad8931132e5a273f12be0b22f7a476851f1
|
3 |
+
size 4671
|
runs/Aug24_18-33-02_bernini/events.out.tfevents.1724517195.bernini.32539.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6444f0a2b4e3bbc6adf7365c5a20f7fac948204dd9ed7c062a949658f87c2b3c
|
3 |
+
size 11949
|
runs/Aug24_18-33-02_bernini/events.out.tfevents.1724517626.bernini.32539.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02f8bb50b51aa38df749470f03a61b8dcd8867a35578004c2577d86726c3b170
|
3 |
+
size 512
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 150,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 26.67,
|
3 |
+
"train_loss": 0.3642783355712891,
|
4 |
+
"train_runtime": 422.1629,
|
5 |
"train_samples": 150,
|
6 |
+
"train_samples_per_second": 9.475,
|
7 |
+
"train_steps_per_second": 0.948
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,97 +1,217 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.67,
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_f1": 0.
|
14 |
-
"eval_loss": 1.
|
15 |
-
"eval_precision": 0.
|
16 |
-
"eval_recall": 0.
|
17 |
-
"eval_runtime":
|
18 |
-
"eval_samples_per_second":
|
19 |
-
"eval_steps_per_second":
|
20 |
"step": 25
|
21 |
},
|
22 |
{
|
23 |
"epoch": 3.33,
|
24 |
-
"eval_accuracy": 0.
|
25 |
-
"eval_f1": 0.
|
26 |
-
"eval_loss": 0.
|
27 |
-
"eval_precision": 0.
|
28 |
-
"eval_recall": 0.
|
29 |
-
"eval_runtime":
|
30 |
-
"eval_samples_per_second":
|
31 |
-
"eval_steps_per_second":
|
32 |
"step": 50
|
33 |
},
|
34 |
{
|
35 |
"epoch": 5.0,
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_f1": 0.
|
38 |
-
"eval_loss": 0.
|
39 |
-
"eval_precision": 0.
|
40 |
-
"eval_recall": 0.
|
41 |
-
"eval_runtime":
|
42 |
-
"eval_samples_per_second":
|
43 |
-
"eval_steps_per_second":
|
44 |
"step": 75
|
45 |
},
|
46 |
{
|
47 |
"epoch": 6.67,
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_f1": 0.
|
50 |
-
"eval_loss": 0.
|
51 |
-
"eval_precision": 0.
|
52 |
-
"eval_recall": 0.
|
53 |
-
"eval_runtime":
|
54 |
-
"eval_samples_per_second":
|
55 |
-
"eval_steps_per_second":
|
56 |
"step": 100
|
57 |
},
|
58 |
{
|
59 |
"epoch": 8.33,
|
60 |
-
"eval_accuracy": 0.
|
61 |
-
"eval_f1": 0.
|
62 |
-
"eval_loss": 0.
|
63 |
-
"eval_precision": 0.
|
64 |
-
"eval_recall": 0.
|
65 |
-
"eval_runtime":
|
66 |
-
"eval_samples_per_second":
|
67 |
-
"eval_steps_per_second":
|
68 |
"step": 125
|
69 |
},
|
70 |
{
|
71 |
"epoch": 10.0,
|
72 |
-
"eval_accuracy": 0.
|
73 |
-
"eval_f1": 0.
|
74 |
-
"eval_loss": 0.
|
75 |
-
"eval_precision": 0.
|
76 |
-
"eval_recall": 0.
|
77 |
-
"eval_runtime":
|
78 |
-
"eval_samples_per_second":
|
79 |
-
"eval_steps_per_second":
|
80 |
"step": 150
|
81 |
},
|
82 |
{
|
83 |
-
"epoch":
|
84 |
-
"
|
85 |
-
"
|
86 |
-
"
|
87 |
-
"
|
88 |
-
"
|
89 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
90 |
}
|
91 |
],
|
92 |
-
"max_steps":
|
93 |
-
"num_train_epochs":
|
94 |
-
"total_flos":
|
95 |
"trial_name": null,
|
96 |
"trial_params": null
|
97 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 26.666666666666668,
|
5 |
+
"global_step": 400,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 1.67,
|
12 |
+
"eval_accuracy": 0.6659393661001378,
|
13 |
+
"eval_f1": 0.5035663338088445,
|
14 |
+
"eval_loss": 1.1944581270217896,
|
15 |
+
"eval_precision": 0.4800543970988214,
|
16 |
+
"eval_recall": 0.5295,
|
17 |
+
"eval_runtime": 3.6881,
|
18 |
+
"eval_samples_per_second": 14.641,
|
19 |
+
"eval_steps_per_second": 1.627,
|
20 |
"step": 25
|
21 |
},
|
22 |
{
|
23 |
"epoch": 3.33,
|
24 |
+
"eval_accuracy": 0.7687184198438217,
|
25 |
+
"eval_f1": 0.7759615384615385,
|
26 |
+
"eval_loss": 0.7770130038261414,
|
27 |
+
"eval_precision": 0.7472222222222222,
|
28 |
+
"eval_recall": 0.807,
|
29 |
+
"eval_runtime": 3.715,
|
30 |
+
"eval_samples_per_second": 14.536,
|
31 |
+
"eval_steps_per_second": 1.615,
|
32 |
"step": 50
|
33 |
},
|
34 |
{
|
35 |
"epoch": 5.0,
|
36 |
+
"eval_accuracy": 0.8118971061093248,
|
37 |
+
"eval_f1": 0.8231029482841953,
|
38 |
+
"eval_loss": 0.5989910364151001,
|
39 |
+
"eval_precision": 0.7965388213283442,
|
40 |
+
"eval_recall": 0.8515,
|
41 |
+
"eval_runtime": 3.6727,
|
42 |
+
"eval_samples_per_second": 14.703,
|
43 |
+
"eval_steps_per_second": 1.634,
|
44 |
"step": 75
|
45 |
},
|
46 |
{
|
47 |
"epoch": 6.67,
|
48 |
+
"eval_accuracy": 0.7702112999540652,
|
49 |
+
"eval_f1": 0.8409471418320977,
|
50 |
+
"eval_loss": 0.6813620924949646,
|
51 |
+
"eval_precision": 0.8060522696011004,
|
52 |
+
"eval_recall": 0.879,
|
53 |
+
"eval_runtime": 3.7496,
|
54 |
+
"eval_samples_per_second": 14.402,
|
55 |
+
"eval_steps_per_second": 1.6,
|
56 |
"step": 100
|
57 |
},
|
58 |
{
|
59 |
"epoch": 8.33,
|
60 |
+
"eval_accuracy": 0.8316490583371612,
|
61 |
+
"eval_f1": 0.8467469879518073,
|
62 |
+
"eval_loss": 0.5391940474510193,
|
63 |
+
"eval_precision": 0.8172093023255814,
|
64 |
+
"eval_recall": 0.8785,
|
65 |
+
"eval_runtime": 3.7027,
|
66 |
+
"eval_samples_per_second": 14.584,
|
67 |
+
"eval_steps_per_second": 1.62,
|
68 |
"step": 125
|
69 |
},
|
70 |
{
|
71 |
"epoch": 10.0,
|
72 |
+
"eval_accuracy": 0.811437758383096,
|
73 |
+
"eval_f1": 0.8603297769156159,
|
74 |
+
"eval_loss": 0.5438030362129211,
|
75 |
+
"eval_precision": 0.835216572504708,
|
76 |
+
"eval_recall": 0.887,
|
77 |
+
"eval_runtime": 3.7703,
|
78 |
+
"eval_samples_per_second": 14.322,
|
79 |
+
"eval_steps_per_second": 1.591,
|
80 |
"step": 150
|
81 |
},
|
82 |
{
|
83 |
+
"epoch": 11.67,
|
84 |
+
"eval_accuracy": 0.838194763435921,
|
85 |
+
"eval_f1": 0.8752145133611179,
|
86 |
+
"eval_loss": 0.5429797172546387,
|
87 |
+
"eval_precision": 0.8585858585858586,
|
88 |
+
"eval_recall": 0.8925,
|
89 |
+
"eval_runtime": 3.7262,
|
90 |
+
"eval_samples_per_second": 14.492,
|
91 |
+
"eval_steps_per_second": 1.61,
|
92 |
+
"step": 175
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 13.33,
|
96 |
+
"eval_accuracy": 0.8257923748277446,
|
97 |
+
"eval_f1": 0.8691817736403724,
|
98 |
+
"eval_loss": 0.5896742939949036,
|
99 |
+
"eval_precision": 0.8520653218059558,
|
100 |
+
"eval_recall": 0.887,
|
101 |
+
"eval_runtime": 3.7744,
|
102 |
+
"eval_samples_per_second": 14.307,
|
103 |
+
"eval_steps_per_second": 1.59,
|
104 |
+
"step": 200
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 15.0,
|
108 |
+
"eval_accuracy": 0.8430179145613229,
|
109 |
+
"eval_f1": 0.8809756097560977,
|
110 |
+
"eval_loss": 0.5427059531211853,
|
111 |
+
"eval_precision": 0.86,
|
112 |
+
"eval_recall": 0.903,
|
113 |
+
"eval_runtime": 3.6854,
|
114 |
+
"eval_samples_per_second": 14.652,
|
115 |
+
"eval_steps_per_second": 1.628,
|
116 |
+
"step": 225
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 16.67,
|
120 |
+
"eval_accuracy": 0.8410656867248507,
|
121 |
+
"eval_f1": 0.8822512959763021,
|
122 |
+
"eval_loss": 0.5541779398918152,
|
123 |
+
"eval_precision": 0.871282301316431,
|
124 |
+
"eval_recall": 0.8935,
|
125 |
+
"eval_runtime": 3.7194,
|
126 |
+
"eval_samples_per_second": 14.518,
|
127 |
+
"eval_steps_per_second": 1.613,
|
128 |
+
"step": 250
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 18.33,
|
132 |
+
"eval_accuracy": 0.83210840606339,
|
133 |
+
"eval_f1": 0.8821515892420537,
|
134 |
+
"eval_loss": 0.6013592481613159,
|
135 |
+
"eval_precision": 0.8631578947368421,
|
136 |
+
"eval_recall": 0.902,
|
137 |
+
"eval_runtime": 3.7675,
|
138 |
+
"eval_samples_per_second": 14.333,
|
139 |
+
"eval_steps_per_second": 1.593,
|
140 |
+
"step": 275
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 20.0,
|
144 |
+
"eval_accuracy": 0.8365870463941204,
|
145 |
+
"eval_f1": 0.8843036109064112,
|
146 |
+
"eval_loss": 0.5971384644508362,
|
147 |
+
"eval_precision": 0.8691453404152584,
|
148 |
+
"eval_recall": 0.9,
|
149 |
+
"eval_runtime": 3.72,
|
150 |
+
"eval_samples_per_second": 14.516,
|
151 |
+
"eval_steps_per_second": 1.613,
|
152 |
+
"step": 300
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 21.67,
|
156 |
+
"eval_accuracy": 0.8313045475424896,
|
157 |
+
"eval_f1": 0.8891637803067788,
|
158 |
+
"eval_loss": 0.598324716091156,
|
159 |
+
"eval_precision": 0.8800195886385896,
|
160 |
+
"eval_recall": 0.8985,
|
161 |
+
"eval_runtime": 3.78,
|
162 |
+
"eval_samples_per_second": 14.286,
|
163 |
+
"eval_steps_per_second": 1.587,
|
164 |
+
"step": 325
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 23.33,
|
168 |
+
"eval_accuracy": 0.8414101975195223,
|
169 |
+
"eval_f1": 0.8964497041420119,
|
170 |
+
"eval_loss": 0.5867139101028442,
|
171 |
+
"eval_precision": 0.8842412451361867,
|
172 |
+
"eval_recall": 0.909,
|
173 |
+
"eval_runtime": 4.0235,
|
174 |
+
"eval_samples_per_second": 13.421,
|
175 |
+
"eval_steps_per_second": 1.491,
|
176 |
+
"step": 350
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 25.0,
|
180 |
+
"eval_accuracy": 0.8465778594395957,
|
181 |
+
"eval_f1": 0.8928835262250677,
|
182 |
+
"eval_loss": 0.5947966575622559,
|
183 |
+
"eval_precision": 0.8796700630761766,
|
184 |
+
"eval_recall": 0.9065,
|
185 |
+
"eval_runtime": 3.6989,
|
186 |
+
"eval_samples_per_second": 14.599,
|
187 |
+
"eval_steps_per_second": 1.622,
|
188 |
+
"step": 375
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 26.67,
|
192 |
+
"eval_accuracy": 0.8414101975195223,
|
193 |
+
"eval_f1": 0.8868156150257795,
|
194 |
+
"eval_loss": 0.6016380190849304,
|
195 |
+
"eval_precision": 0.8712011577424024,
|
196 |
+
"eval_recall": 0.903,
|
197 |
+
"eval_runtime": 3.6913,
|
198 |
+
"eval_samples_per_second": 14.629,
|
199 |
+
"eval_steps_per_second": 1.625,
|
200 |
+
"step": 400
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 26.67,
|
204 |
+
"step": 400,
|
205 |
+
"total_flos": 1054421372928000.0,
|
206 |
+
"train_loss": 0.3642783355712891,
|
207 |
+
"train_runtime": 422.1629,
|
208 |
+
"train_samples_per_second": 9.475,
|
209 |
+
"train_steps_per_second": 0.948
|
210 |
}
|
211 |
],
|
212 |
+
"max_steps": 400,
|
213 |
+
"num_train_epochs": 27,
|
214 |
+
"total_flos": 1054421372928000.0,
|
215 |
"trial_name": null,
|
216 |
"trial_params": null
|
217 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2927
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8562d79844654a7b5375505088993c1664cd2a797de81729e592c18046e9651
|
3 |
size 2927
|