rachidsaid
commited on
Commit
•
15b6d62
1
Parent(s):
80cf076
End of training
Browse files
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.23,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 1.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.23,
|
3 |
+
"eval_accuracy": 0.8516129032258064,
|
4 |
+
"eval_loss": 0.4354906678199768,
|
5 |
+
"eval_runtime": 104.5631,
|
6 |
+
"eval_samples_per_second": 1.482,
|
7 |
+
"eval_steps_per_second": 0.191
|
8 |
}
|
runs/Jul03_15-16-36_e0f8396b976e/events.out.tfevents.1688400695.e0f8396b976e.796.1
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47b1f245da788e2cdbbbdcb211b26336f171c77bbd4c4571879c30a2175d83e2
|
3 |
+
size 734
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.23,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 1.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.23,
|
3 |
+
"eval_accuracy": 0.8516129032258064,
|
4 |
+
"eval_loss": 0.4354906678199768,
|
5 |
+
"eval_runtime": 104.5631,
|
6 |
+
"eval_samples_per_second": 1.482,
|
7 |
+
"eval_steps_per_second": 0.191
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,148 +10,148 @@
|
|
10 |
{
|
11 |
"epoch": 0.07,
|
12 |
"learning_rate": 3.3333333333333335e-05,
|
13 |
-
"loss": 2.
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.14,
|
18 |
"learning_rate": 4.81203007518797e-05,
|
19 |
-
"loss": 2.
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.2,
|
24 |
"learning_rate": 4.43609022556391e-05,
|
25 |
-
"loss": 2.
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.26,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_loss": 1.
|
32 |
-
"eval_runtime":
|
33 |
-
"eval_samples_per_second": 1.
|
34 |
-
"eval_steps_per_second": 0.
|
35 |
"step": 38
|
36 |
},
|
37 |
{
|
38 |
"epoch": 1.01,
|
39 |
"learning_rate": 4.0601503759398494e-05,
|
40 |
-
"loss":
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 1.08,
|
45 |
"learning_rate": 3.6842105263157895e-05,
|
46 |
-
"loss": 1.
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 1.15,
|
51 |
"learning_rate": 3.3082706766917295e-05,
|
52 |
-
"loss": 1.
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 1.22,
|
57 |
"learning_rate": 2.9323308270676693e-05,
|
58 |
-
"loss": 0.
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.26,
|
63 |
-
"eval_accuracy": 0.
|
64 |
-
"eval_loss": 0.
|
65 |
-
"eval_runtime":
|
66 |
-
"eval_samples_per_second": 1.
|
67 |
-
"eval_steps_per_second": 0.
|
68 |
"step": 76
|
69 |
},
|
70 |
{
|
71 |
"epoch": 2.03,
|
72 |
"learning_rate": 2.556390977443609e-05,
|
73 |
-
"loss": 0.
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 2.09,
|
78 |
"learning_rate": 2.1804511278195487e-05,
|
79 |
-
"loss": 0.
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 2.16,
|
84 |
"learning_rate": 1.8045112781954888e-05,
|
85 |
-
"loss": 0.
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 2.23,
|
90 |
"learning_rate": 1.4285714285714285e-05,
|
91 |
-
"loss": 0.
|
92 |
"step": 110
|
93 |
},
|
94 |
{
|
95 |
"epoch": 2.26,
|
96 |
-
"eval_accuracy": 0.
|
97 |
-
"eval_loss": 0.
|
98 |
-
"eval_runtime":
|
99 |
-
"eval_samples_per_second": 1.
|
100 |
-
"eval_steps_per_second": 0.
|
101 |
"step": 114
|
102 |
},
|
103 |
{
|
104 |
"epoch": 3.04,
|
105 |
"learning_rate": 1.0526315789473684e-05,
|
106 |
-
"loss": 0.
|
107 |
"step": 120
|
108 |
},
|
109 |
{
|
110 |
"epoch": 3.11,
|
111 |
"learning_rate": 6.766917293233083e-06,
|
112 |
-
"loss": 0.
|
113 |
"step": 130
|
114 |
},
|
115 |
{
|
116 |
"epoch": 3.18,
|
117 |
"learning_rate": 3.007518796992481e-06,
|
118 |
-
"loss": 0.
|
119 |
"step": 140
|
120 |
},
|
121 |
{
|
122 |
"epoch": 3.23,
|
123 |
"eval_accuracy": 0.9142857142857143,
|
124 |
-
"eval_loss": 0.
|
125 |
-
"eval_runtime":
|
126 |
-
"eval_samples_per_second":
|
127 |
-
"eval_steps_per_second": 0.
|
128 |
"step": 148
|
129 |
},
|
130 |
{
|
131 |
"epoch": 3.23,
|
132 |
"step": 148,
|
133 |
"total_flos": 1.460491890402263e+18,
|
134 |
-
"train_loss": 1.
|
135 |
-
"train_runtime":
|
136 |
-
"train_samples_per_second": 0.
|
137 |
-
"train_steps_per_second": 0.
|
138 |
},
|
139 |
{
|
140 |
"epoch": 3.23,
|
141 |
-
"eval_accuracy": 0.
|
142 |
-
"eval_loss": 0.
|
143 |
-
"eval_runtime":
|
144 |
-
"eval_samples_per_second": 1.
|
145 |
-
"eval_steps_per_second": 0.
|
146 |
"step": 148
|
147 |
},
|
148 |
{
|
149 |
"epoch": 3.23,
|
150 |
-
"eval_accuracy": 0.
|
151 |
-
"eval_loss": 0.
|
152 |
-
"eval_runtime":
|
153 |
-
"eval_samples_per_second": 1.
|
154 |
-
"eval_steps_per_second": 0.
|
155 |
"step": 148
|
156 |
}
|
157 |
],
|
|
|
10 |
{
|
11 |
"epoch": 0.07,
|
12 |
"learning_rate": 3.3333333333333335e-05,
|
13 |
+
"loss": 2.2591,
|
14 |
"step": 10
|
15 |
},
|
16 |
{
|
17 |
"epoch": 0.14,
|
18 |
"learning_rate": 4.81203007518797e-05,
|
19 |
+
"loss": 2.2132,
|
20 |
"step": 20
|
21 |
},
|
22 |
{
|
23 |
"epoch": 0.2,
|
24 |
"learning_rate": 4.43609022556391e-05,
|
25 |
+
"loss": 2.1351,
|
26 |
"step": 30
|
27 |
},
|
28 |
{
|
29 |
"epoch": 0.26,
|
30 |
+
"eval_accuracy": 0.6285714285714286,
|
31 |
+
"eval_loss": 1.6582270860671997,
|
32 |
+
"eval_runtime": 48.1772,
|
33 |
+
"eval_samples_per_second": 1.453,
|
34 |
+
"eval_steps_per_second": 0.187,
|
35 |
"step": 38
|
36 |
},
|
37 |
{
|
38 |
"epoch": 1.01,
|
39 |
"learning_rate": 4.0601503759398494e-05,
|
40 |
+
"loss": 1.9093,
|
41 |
"step": 40
|
42 |
},
|
43 |
{
|
44 |
"epoch": 1.08,
|
45 |
"learning_rate": 3.6842105263157895e-05,
|
46 |
+
"loss": 1.5111,
|
47 |
"step": 50
|
48 |
},
|
49 |
{
|
50 |
"epoch": 1.15,
|
51 |
"learning_rate": 3.3082706766917295e-05,
|
52 |
+
"loss": 1.1256,
|
53 |
"step": 60
|
54 |
},
|
55 |
{
|
56 |
"epoch": 1.22,
|
57 |
"learning_rate": 2.9323308270676693e-05,
|
58 |
+
"loss": 0.7409,
|
59 |
"step": 70
|
60 |
},
|
61 |
{
|
62 |
"epoch": 1.26,
|
63 |
+
"eval_accuracy": 0.7142857142857143,
|
64 |
+
"eval_loss": 0.8406534194946289,
|
65 |
+
"eval_runtime": 39.133,
|
66 |
+
"eval_samples_per_second": 1.789,
|
67 |
+
"eval_steps_per_second": 0.23,
|
68 |
"step": 76
|
69 |
},
|
70 |
{
|
71 |
"epoch": 2.03,
|
72 |
"learning_rate": 2.556390977443609e-05,
|
73 |
+
"loss": 0.8077,
|
74 |
"step": 80
|
75 |
},
|
76 |
{
|
77 |
"epoch": 2.09,
|
78 |
"learning_rate": 2.1804511278195487e-05,
|
79 |
+
"loss": 0.5975,
|
80 |
"step": 90
|
81 |
},
|
82 |
{
|
83 |
"epoch": 2.16,
|
84 |
"learning_rate": 1.8045112781954888e-05,
|
85 |
+
"loss": 0.6191,
|
86 |
"step": 100
|
87 |
},
|
88 |
{
|
89 |
"epoch": 2.23,
|
90 |
"learning_rate": 1.4285714285714285e-05,
|
91 |
+
"loss": 0.4333,
|
92 |
"step": 110
|
93 |
},
|
94 |
{
|
95 |
"epoch": 2.26,
|
96 |
+
"eval_accuracy": 0.8142857142857143,
|
97 |
+
"eval_loss": 0.5106571316719055,
|
98 |
+
"eval_runtime": 41.2785,
|
99 |
+
"eval_samples_per_second": 1.696,
|
100 |
+
"eval_steps_per_second": 0.218,
|
101 |
"step": 114
|
102 |
},
|
103 |
{
|
104 |
"epoch": 3.04,
|
105 |
"learning_rate": 1.0526315789473684e-05,
|
106 |
+
"loss": 0.3766,
|
107 |
"step": 120
|
108 |
},
|
109 |
{
|
110 |
"epoch": 3.11,
|
111 |
"learning_rate": 6.766917293233083e-06,
|
112 |
+
"loss": 0.265,
|
113 |
"step": 130
|
114 |
},
|
115 |
{
|
116 |
"epoch": 3.18,
|
117 |
"learning_rate": 3.007518796992481e-06,
|
118 |
+
"loss": 0.2766,
|
119 |
"step": 140
|
120 |
},
|
121 |
{
|
122 |
"epoch": 3.23,
|
123 |
"eval_accuracy": 0.9142857142857143,
|
124 |
+
"eval_loss": 0.3579496741294861,
|
125 |
+
"eval_runtime": 49.2971,
|
126 |
+
"eval_samples_per_second": 1.42,
|
127 |
+
"eval_steps_per_second": 0.183,
|
128 |
"step": 148
|
129 |
},
|
130 |
{
|
131 |
"epoch": 3.23,
|
132 |
"step": 148,
|
133 |
"total_flos": 1.460491890402263e+18,
|
134 |
+
"train_loss": 1.0465768640105788,
|
135 |
+
"train_runtime": 3053.3069,
|
136 |
+
"train_samples_per_second": 0.388,
|
137 |
+
"train_steps_per_second": 0.048
|
138 |
},
|
139 |
{
|
140 |
"epoch": 3.23,
|
141 |
+
"eval_accuracy": 0.8516129032258064,
|
142 |
+
"eval_loss": 0.43549060821533203,
|
143 |
+
"eval_runtime": 105.4615,
|
144 |
+
"eval_samples_per_second": 1.47,
|
145 |
+
"eval_steps_per_second": 0.19,
|
146 |
"step": 148
|
147 |
},
|
148 |
{
|
149 |
"epoch": 3.23,
|
150 |
+
"eval_accuracy": 0.8516129032258064,
|
151 |
+
"eval_loss": 0.4354906678199768,
|
152 |
+
"eval_runtime": 104.5631,
|
153 |
+
"eval_samples_per_second": 1.482,
|
154 |
+
"eval_steps_per_second": 0.191,
|
155 |
"step": 148
|
156 |
}
|
157 |
],
|