End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.7916666666666666,
|
4 |
+
"eval_loss": 0.6821911931037903,
|
5 |
+
"eval_runtime": 126.6935,
|
6 |
+
"eval_samples_per_second": 1.515,
|
7 |
+
"eval_steps_per_second": 0.189
|
8 |
+
}
|
runs/Jul28_17-15-50_518dd1f23e61/events.out.tfevents.1690577851.518dd1f23e61.2810.1
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 sha256:300d598a773ec7bb508861c9d43c95e5c49438c01b78bc60753c6dcb5fc5f9b0
|
3 |
+
size 734
|
test_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.7916666666666666,
|
4 |
+
"eval_loss": 0.6821911931037903,
|
5 |
+
"eval_runtime": 126.6935,
|
6 |
+
"eval_samples_per_second": 1.515,
|
7 |
+
"eval_steps_per_second": 0.189
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1003 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8085106382978723,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-movienet-finetuned-movienet-more/checkpoint-372",
|
4 |
+
"epoch": 7.120270270270271,
|
5 |
+
"global_step": 1480,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 3.3783783783783788e-06,
|
13 |
+
"loss": 0.6452,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 6.7567567567567575e-06,
|
19 |
+
"loss": 0.3741,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 1.0135135135135136e-05,
|
25 |
+
"loss": 0.2853,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.03,
|
30 |
+
"learning_rate": 1.3513513513513515e-05,
|
31 |
+
"loss": 0.5599,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 1.6891891891891892e-05,
|
37 |
+
"loss": 0.3713,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.04,
|
42 |
+
"learning_rate": 2.0270270270270273e-05,
|
43 |
+
"loss": 0.1326,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05,
|
48 |
+
"learning_rate": 2.364864864864865e-05,
|
49 |
+
"loss": 0.1683,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.05,
|
54 |
+
"learning_rate": 2.702702702702703e-05,
|
55 |
+
"loss": 0.4612,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.06,
|
60 |
+
"learning_rate": 3.0405405405405407e-05,
|
61 |
+
"loss": 0.3596,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.07,
|
66 |
+
"learning_rate": 3.3783783783783784e-05,
|
67 |
+
"loss": 0.2449,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.07,
|
72 |
+
"learning_rate": 3.7162162162162165e-05,
|
73 |
+
"loss": 0.1317,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.08,
|
78 |
+
"learning_rate": 4.0540540540540545e-05,
|
79 |
+
"loss": 0.53,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.09,
|
84 |
+
"learning_rate": 4.391891891891892e-05,
|
85 |
+
"loss": 0.1933,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.09,
|
90 |
+
"learning_rate": 4.72972972972973e-05,
|
91 |
+
"loss": 0.3087,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.1,
|
96 |
+
"learning_rate": 4.9924924924924924e-05,
|
97 |
+
"loss": 0.365,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.11,
|
102 |
+
"learning_rate": 4.954954954954955e-05,
|
103 |
+
"loss": 0.3458,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.11,
|
108 |
+
"learning_rate": 4.9174174174174175e-05,
|
109 |
+
"loss": 0.4004,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.12,
|
114 |
+
"learning_rate": 4.87987987987988e-05,
|
115 |
+
"loss": 0.4977,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.13,
|
120 |
+
"eval_accuracy": 0.723404255319149,
|
121 |
+
"eval_loss": 0.8209818601608276,
|
122 |
+
"eval_runtime": 325.1637,
|
123 |
+
"eval_samples_per_second": 0.578,
|
124 |
+
"eval_steps_per_second": 0.074,
|
125 |
+
"step": 186
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.0,
|
129 |
+
"learning_rate": 4.8423423423423426e-05,
|
130 |
+
"loss": 0.31,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.01,
|
135 |
+
"learning_rate": 4.804804804804805e-05,
|
136 |
+
"loss": 0.4281,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.02,
|
141 |
+
"learning_rate": 4.767267267267268e-05,
|
142 |
+
"loss": 0.5228,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.02,
|
147 |
+
"learning_rate": 4.72972972972973e-05,
|
148 |
+
"loss": 0.4479,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.03,
|
153 |
+
"learning_rate": 4.692192192192192e-05,
|
154 |
+
"loss": 0.4205,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.04,
|
159 |
+
"learning_rate": 4.654654654654655e-05,
|
160 |
+
"loss": 0.6442,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.04,
|
165 |
+
"learning_rate": 4.617117117117117e-05,
|
166 |
+
"loss": 0.5665,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.05,
|
171 |
+
"learning_rate": 4.57957957957958e-05,
|
172 |
+
"loss": 0.4637,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.06,
|
177 |
+
"learning_rate": 4.5420420420420424e-05,
|
178 |
+
"loss": 0.2689,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.06,
|
183 |
+
"learning_rate": 4.5045045045045046e-05,
|
184 |
+
"loss": 0.2813,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.07,
|
189 |
+
"learning_rate": 4.4669669669669675e-05,
|
190 |
+
"loss": 0.5086,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.08,
|
195 |
+
"learning_rate": 4.42942942942943e-05,
|
196 |
+
"loss": 0.2338,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.08,
|
201 |
+
"learning_rate": 4.391891891891892e-05,
|
202 |
+
"loss": 0.4156,
|
203 |
+
"step": 310
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.09,
|
207 |
+
"learning_rate": 4.354354354354355e-05,
|
208 |
+
"loss": 0.4025,
|
209 |
+
"step": 320
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.1,
|
213 |
+
"learning_rate": 4.316816816816817e-05,
|
214 |
+
"loss": 0.3151,
|
215 |
+
"step": 330
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 1.1,
|
219 |
+
"learning_rate": 4.27927927927928e-05,
|
220 |
+
"loss": 0.4204,
|
221 |
+
"step": 340
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.11,
|
225 |
+
"learning_rate": 4.241741741741742e-05,
|
226 |
+
"loss": 0.4158,
|
227 |
+
"step": 350
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 1.12,
|
231 |
+
"learning_rate": 4.204204204204204e-05,
|
232 |
+
"loss": 0.3485,
|
233 |
+
"step": 360
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.12,
|
237 |
+
"learning_rate": 4.166666666666667e-05,
|
238 |
+
"loss": 0.3974,
|
239 |
+
"step": 370
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 1.13,
|
243 |
+
"eval_accuracy": 0.8085106382978723,
|
244 |
+
"eval_loss": 0.632224977016449,
|
245 |
+
"eval_runtime": 167.3633,
|
246 |
+
"eval_samples_per_second": 1.123,
|
247 |
+
"eval_steps_per_second": 0.143,
|
248 |
+
"step": 372
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.01,
|
252 |
+
"learning_rate": 4.1291291291291294e-05,
|
253 |
+
"loss": 0.2036,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.01,
|
258 |
+
"learning_rate": 4.091591591591592e-05,
|
259 |
+
"loss": 0.2391,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.02,
|
264 |
+
"learning_rate": 4.0540540540540545e-05,
|
265 |
+
"loss": 0.2951,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.03,
|
270 |
+
"learning_rate": 4.016516516516517e-05,
|
271 |
+
"loss": 0.3131,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.03,
|
276 |
+
"learning_rate": 3.9789789789789796e-05,
|
277 |
+
"loss": 0.3097,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.04,
|
282 |
+
"learning_rate": 3.941441441441442e-05,
|
283 |
+
"loss": 0.1422,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.05,
|
288 |
+
"learning_rate": 3.903903903903904e-05,
|
289 |
+
"loss": 0.0668,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.05,
|
294 |
+
"learning_rate": 3.866366366366366e-05,
|
295 |
+
"loss": 0.2289,
|
296 |
+
"step": 450
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.06,
|
300 |
+
"learning_rate": 3.8288288288288285e-05,
|
301 |
+
"loss": 0.1771,
|
302 |
+
"step": 460
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.07,
|
306 |
+
"learning_rate": 3.7912912912912914e-05,
|
307 |
+
"loss": 0.1779,
|
308 |
+
"step": 470
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 2.07,
|
312 |
+
"learning_rate": 3.7537537537537536e-05,
|
313 |
+
"loss": 0.6673,
|
314 |
+
"step": 480
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.08,
|
318 |
+
"learning_rate": 3.7162162162162165e-05,
|
319 |
+
"loss": 0.2319,
|
320 |
+
"step": 490
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 2.09,
|
324 |
+
"learning_rate": 3.678678678678679e-05,
|
325 |
+
"loss": 0.157,
|
326 |
+
"step": 500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 2.09,
|
330 |
+
"learning_rate": 3.641141141141141e-05,
|
331 |
+
"loss": 0.2388,
|
332 |
+
"step": 510
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.1,
|
336 |
+
"learning_rate": 3.603603603603604e-05,
|
337 |
+
"loss": 0.4595,
|
338 |
+
"step": 520
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.11,
|
342 |
+
"learning_rate": 3.566066066066066e-05,
|
343 |
+
"loss": 0.2776,
|
344 |
+
"step": 530
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.11,
|
348 |
+
"learning_rate": 3.528528528528528e-05,
|
349 |
+
"loss": 0.2687,
|
350 |
+
"step": 540
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.12,
|
354 |
+
"learning_rate": 3.490990990990991e-05,
|
355 |
+
"loss": 0.1101,
|
356 |
+
"step": 550
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 2.13,
|
360 |
+
"eval_accuracy": 0.75,
|
361 |
+
"eval_loss": 1.0521998405456543,
|
362 |
+
"eval_runtime": 162.7827,
|
363 |
+
"eval_samples_per_second": 1.155,
|
364 |
+
"eval_steps_per_second": 0.147,
|
365 |
+
"step": 558
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 3.0,
|
369 |
+
"learning_rate": 3.453453453453453e-05,
|
370 |
+
"loss": 0.1566,
|
371 |
+
"step": 560
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.01,
|
375 |
+
"learning_rate": 3.415915915915916e-05,
|
376 |
+
"loss": 0.2506,
|
377 |
+
"step": 570
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.01,
|
381 |
+
"learning_rate": 3.3783783783783784e-05,
|
382 |
+
"loss": 0.0709,
|
383 |
+
"step": 580
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.02,
|
387 |
+
"learning_rate": 3.3408408408408406e-05,
|
388 |
+
"loss": 0.1136,
|
389 |
+
"step": 590
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.03,
|
393 |
+
"learning_rate": 3.3033033033033035e-05,
|
394 |
+
"loss": 0.3604,
|
395 |
+
"step": 600
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.04,
|
399 |
+
"learning_rate": 3.265765765765766e-05,
|
400 |
+
"loss": 0.0949,
|
401 |
+
"step": 610
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 3.04,
|
405 |
+
"learning_rate": 3.2282282282282286e-05,
|
406 |
+
"loss": 0.038,
|
407 |
+
"step": 620
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 3.05,
|
411 |
+
"learning_rate": 3.190690690690691e-05,
|
412 |
+
"loss": 0.0487,
|
413 |
+
"step": 630
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 3.06,
|
417 |
+
"learning_rate": 3.153153153153153e-05,
|
418 |
+
"loss": 0.1361,
|
419 |
+
"step": 640
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 3.06,
|
423 |
+
"learning_rate": 3.115615615615616e-05,
|
424 |
+
"loss": 0.2508,
|
425 |
+
"step": 650
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 3.07,
|
429 |
+
"learning_rate": 3.078078078078078e-05,
|
430 |
+
"loss": 0.0955,
|
431 |
+
"step": 660
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 3.08,
|
435 |
+
"learning_rate": 3.0405405405405407e-05,
|
436 |
+
"loss": 0.2185,
|
437 |
+
"step": 670
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 3.08,
|
441 |
+
"learning_rate": 3.0030030030030033e-05,
|
442 |
+
"loss": 0.3311,
|
443 |
+
"step": 680
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 3.09,
|
447 |
+
"learning_rate": 2.9654654654654658e-05,
|
448 |
+
"loss": 0.1093,
|
449 |
+
"step": 690
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 3.1,
|
453 |
+
"learning_rate": 2.927927927927928e-05,
|
454 |
+
"loss": 0.0554,
|
455 |
+
"step": 700
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 3.1,
|
459 |
+
"learning_rate": 2.8903903903903906e-05,
|
460 |
+
"loss": 0.084,
|
461 |
+
"step": 710
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 3.11,
|
465 |
+
"learning_rate": 2.852852852852853e-05,
|
466 |
+
"loss": 0.1206,
|
467 |
+
"step": 720
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 3.12,
|
471 |
+
"learning_rate": 2.8153153153153157e-05,
|
472 |
+
"loss": 0.2526,
|
473 |
+
"step": 730
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 3.12,
|
477 |
+
"learning_rate": 2.777777777777778e-05,
|
478 |
+
"loss": 0.1618,
|
479 |
+
"step": 740
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 3.13,
|
483 |
+
"eval_accuracy": 0.7872340425531915,
|
484 |
+
"eval_loss": 0.9184951782226562,
|
485 |
+
"eval_runtime": 122.6151,
|
486 |
+
"eval_samples_per_second": 1.533,
|
487 |
+
"eval_steps_per_second": 0.196,
|
488 |
+
"step": 744
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.0,
|
492 |
+
"learning_rate": 2.7402402402402405e-05,
|
493 |
+
"loss": 0.0652,
|
494 |
+
"step": 750
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.01,
|
498 |
+
"learning_rate": 2.702702702702703e-05,
|
499 |
+
"loss": 0.027,
|
500 |
+
"step": 760
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 4.02,
|
504 |
+
"learning_rate": 2.6651651651651656e-05,
|
505 |
+
"loss": 0.0875,
|
506 |
+
"step": 770
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 4.02,
|
510 |
+
"learning_rate": 2.6276276276276278e-05,
|
511 |
+
"loss": 0.2058,
|
512 |
+
"step": 780
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 4.03,
|
516 |
+
"learning_rate": 2.5900900900900903e-05,
|
517 |
+
"loss": 0.0566,
|
518 |
+
"step": 790
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 4.04,
|
522 |
+
"learning_rate": 2.552552552552553e-05,
|
523 |
+
"loss": 0.082,
|
524 |
+
"step": 800
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 4.04,
|
528 |
+
"learning_rate": 2.5150150150150154e-05,
|
529 |
+
"loss": 0.0835,
|
530 |
+
"step": 810
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 4.05,
|
534 |
+
"learning_rate": 2.4774774774774777e-05,
|
535 |
+
"loss": 0.0831,
|
536 |
+
"step": 820
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 4.06,
|
540 |
+
"learning_rate": 2.43993993993994e-05,
|
541 |
+
"loss": 0.0566,
|
542 |
+
"step": 830
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 4.06,
|
546 |
+
"learning_rate": 2.4024024024024024e-05,
|
547 |
+
"loss": 0.053,
|
548 |
+
"step": 840
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 4.07,
|
552 |
+
"learning_rate": 2.364864864864865e-05,
|
553 |
+
"loss": 0.0415,
|
554 |
+
"step": 850
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 4.08,
|
558 |
+
"learning_rate": 2.3273273273273275e-05,
|
559 |
+
"loss": 0.072,
|
560 |
+
"step": 860
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 4.09,
|
564 |
+
"learning_rate": 2.28978978978979e-05,
|
565 |
+
"loss": 0.1109,
|
566 |
+
"step": 870
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 4.09,
|
570 |
+
"learning_rate": 2.2522522522522523e-05,
|
571 |
+
"loss": 0.1355,
|
572 |
+
"step": 880
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 4.1,
|
576 |
+
"learning_rate": 2.214714714714715e-05,
|
577 |
+
"loss": 0.0971,
|
578 |
+
"step": 890
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 4.11,
|
582 |
+
"learning_rate": 2.1771771771771774e-05,
|
583 |
+
"loss": 0.1569,
|
584 |
+
"step": 900
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 4.11,
|
588 |
+
"learning_rate": 2.13963963963964e-05,
|
589 |
+
"loss": 0.0111,
|
590 |
+
"step": 910
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 4.12,
|
594 |
+
"learning_rate": 2.102102102102102e-05,
|
595 |
+
"loss": 0.0249,
|
596 |
+
"step": 920
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 4.13,
|
600 |
+
"learning_rate": 2.0645645645645647e-05,
|
601 |
+
"loss": 0.0052,
|
602 |
+
"step": 930
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 4.13,
|
606 |
+
"eval_accuracy": 0.8085106382978723,
|
607 |
+
"eval_loss": 0.8585702776908875,
|
608 |
+
"eval_runtime": 123.8694,
|
609 |
+
"eval_samples_per_second": 1.518,
|
610 |
+
"eval_steps_per_second": 0.194,
|
611 |
+
"step": 930
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 5.01,
|
615 |
+
"learning_rate": 2.0270270270270273e-05,
|
616 |
+
"loss": 0.008,
|
617 |
+
"step": 940
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 5.01,
|
621 |
+
"learning_rate": 1.9894894894894898e-05,
|
622 |
+
"loss": 0.0054,
|
623 |
+
"step": 950
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 5.02,
|
627 |
+
"learning_rate": 1.951951951951952e-05,
|
628 |
+
"loss": 0.0067,
|
629 |
+
"step": 960
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 5.03,
|
633 |
+
"learning_rate": 1.9144144144144142e-05,
|
634 |
+
"loss": 0.0022,
|
635 |
+
"step": 970
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 5.03,
|
639 |
+
"learning_rate": 1.8768768768768768e-05,
|
640 |
+
"loss": 0.0504,
|
641 |
+
"step": 980
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 5.04,
|
645 |
+
"learning_rate": 1.8393393393393393e-05,
|
646 |
+
"loss": 0.001,
|
647 |
+
"step": 990
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 5.05,
|
651 |
+
"learning_rate": 1.801801801801802e-05,
|
652 |
+
"loss": 0.0017,
|
653 |
+
"step": 1000
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 5.05,
|
657 |
+
"learning_rate": 1.764264264264264e-05,
|
658 |
+
"loss": 0.0025,
|
659 |
+
"step": 1010
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 5.06,
|
663 |
+
"learning_rate": 1.7267267267267267e-05,
|
664 |
+
"loss": 0.1008,
|
665 |
+
"step": 1020
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 5.07,
|
669 |
+
"learning_rate": 1.6891891891891892e-05,
|
670 |
+
"loss": 0.0033,
|
671 |
+
"step": 1030
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 5.07,
|
675 |
+
"learning_rate": 1.6516516516516518e-05,
|
676 |
+
"loss": 0.0022,
|
677 |
+
"step": 1040
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 5.08,
|
681 |
+
"learning_rate": 1.6141141141141143e-05,
|
682 |
+
"loss": 0.0122,
|
683 |
+
"step": 1050
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 5.09,
|
687 |
+
"learning_rate": 1.5765765765765765e-05,
|
688 |
+
"loss": 0.0615,
|
689 |
+
"step": 1060
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 5.09,
|
693 |
+
"learning_rate": 1.539039039039039e-05,
|
694 |
+
"loss": 0.1198,
|
695 |
+
"step": 1070
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 5.1,
|
699 |
+
"learning_rate": 1.5015015015015016e-05,
|
700 |
+
"loss": 0.0386,
|
701 |
+
"step": 1080
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 5.11,
|
705 |
+
"learning_rate": 1.463963963963964e-05,
|
706 |
+
"loss": 0.0491,
|
707 |
+
"step": 1090
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 5.11,
|
711 |
+
"learning_rate": 1.4264264264264266e-05,
|
712 |
+
"loss": 0.0265,
|
713 |
+
"step": 1100
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 5.12,
|
717 |
+
"learning_rate": 1.388888888888889e-05,
|
718 |
+
"loss": 0.0013,
|
719 |
+
"step": 1110
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 5.13,
|
723 |
+
"eval_accuracy": 0.7925531914893617,
|
724 |
+
"eval_loss": 1.0028539896011353,
|
725 |
+
"eval_runtime": 127.0573,
|
726 |
+
"eval_samples_per_second": 1.48,
|
727 |
+
"eval_steps_per_second": 0.189,
|
728 |
+
"step": 1116
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 6.0,
|
732 |
+
"learning_rate": 1.3513513513513515e-05,
|
733 |
+
"loss": 0.0228,
|
734 |
+
"step": 1120
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 6.01,
|
738 |
+
"learning_rate": 1.3138138138138139e-05,
|
739 |
+
"loss": 0.0011,
|
740 |
+
"step": 1130
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 6.02,
|
744 |
+
"learning_rate": 1.2762762762762764e-05,
|
745 |
+
"loss": 0.0247,
|
746 |
+
"step": 1140
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 6.02,
|
750 |
+
"learning_rate": 1.2387387387387388e-05,
|
751 |
+
"loss": 0.0048,
|
752 |
+
"step": 1150
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 6.03,
|
756 |
+
"learning_rate": 1.2012012012012012e-05,
|
757 |
+
"loss": 0.0009,
|
758 |
+
"step": 1160
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 6.04,
|
762 |
+
"learning_rate": 1.1636636636636638e-05,
|
763 |
+
"loss": 0.0065,
|
764 |
+
"step": 1170
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 6.04,
|
768 |
+
"learning_rate": 1.1261261261261261e-05,
|
769 |
+
"loss": 0.0012,
|
770 |
+
"step": 1180
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 6.05,
|
774 |
+
"learning_rate": 1.0885885885885887e-05,
|
775 |
+
"loss": 0.0036,
|
776 |
+
"step": 1190
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 6.06,
|
780 |
+
"learning_rate": 1.051051051051051e-05,
|
781 |
+
"loss": 0.0009,
|
782 |
+
"step": 1200
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 6.06,
|
786 |
+
"learning_rate": 1.0135135135135136e-05,
|
787 |
+
"loss": 0.0115,
|
788 |
+
"step": 1210
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 6.07,
|
792 |
+
"learning_rate": 9.75975975975976e-06,
|
793 |
+
"loss": 0.011,
|
794 |
+
"step": 1220
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 6.08,
|
798 |
+
"learning_rate": 9.384384384384384e-06,
|
799 |
+
"loss": 0.0318,
|
800 |
+
"step": 1230
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 6.08,
|
804 |
+
"learning_rate": 9.00900900900901e-06,
|
805 |
+
"loss": 0.0025,
|
806 |
+
"step": 1240
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 6.09,
|
810 |
+
"learning_rate": 8.633633633633633e-06,
|
811 |
+
"loss": 0.0373,
|
812 |
+
"step": 1250
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 6.1,
|
816 |
+
"learning_rate": 8.258258258258259e-06,
|
817 |
+
"loss": 0.0651,
|
818 |
+
"step": 1260
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 6.1,
|
822 |
+
"learning_rate": 7.882882882882883e-06,
|
823 |
+
"loss": 0.0052,
|
824 |
+
"step": 1270
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 6.11,
|
828 |
+
"learning_rate": 7.507507507507508e-06,
|
829 |
+
"loss": 0.0008,
|
830 |
+
"step": 1280
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 6.12,
|
834 |
+
"learning_rate": 7.132132132132133e-06,
|
835 |
+
"loss": 0.0013,
|
836 |
+
"step": 1290
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 6.12,
|
840 |
+
"learning_rate": 6.7567567567567575e-06,
|
841 |
+
"loss": 0.0044,
|
842 |
+
"step": 1300
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 6.13,
|
846 |
+
"eval_accuracy": 0.7872340425531915,
|
847 |
+
"eval_loss": 1.0399647951126099,
|
848 |
+
"eval_runtime": 160.3025,
|
849 |
+
"eval_samples_per_second": 1.173,
|
850 |
+
"eval_steps_per_second": 0.15,
|
851 |
+
"step": 1302
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 7.01,
|
855 |
+
"learning_rate": 6.381381381381382e-06,
|
856 |
+
"loss": 0.0009,
|
857 |
+
"step": 1310
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 7.01,
|
861 |
+
"learning_rate": 6.006006006006006e-06,
|
862 |
+
"loss": 0.0016,
|
863 |
+
"step": 1320
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 7.02,
|
867 |
+
"learning_rate": 5.630630630630631e-06,
|
868 |
+
"loss": 0.0008,
|
869 |
+
"step": 1330
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 7.03,
|
873 |
+
"learning_rate": 5.255255255255255e-06,
|
874 |
+
"loss": 0.0008,
|
875 |
+
"step": 1340
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 7.03,
|
879 |
+
"learning_rate": 4.87987987987988e-06,
|
880 |
+
"loss": 0.0009,
|
881 |
+
"step": 1350
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 7.04,
|
885 |
+
"learning_rate": 4.504504504504505e-06,
|
886 |
+
"loss": 0.0007,
|
887 |
+
"step": 1360
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 7.05,
|
891 |
+
"learning_rate": 4.129129129129129e-06,
|
892 |
+
"loss": 0.001,
|
893 |
+
"step": 1370
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 7.05,
|
897 |
+
"learning_rate": 3.753753753753754e-06,
|
898 |
+
"loss": 0.0008,
|
899 |
+
"step": 1380
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 7.06,
|
903 |
+
"learning_rate": 3.3783783783783788e-06,
|
904 |
+
"loss": 0.0007,
|
905 |
+
"step": 1390
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 7.07,
|
909 |
+
"learning_rate": 3.003003003003003e-06,
|
910 |
+
"loss": 0.001,
|
911 |
+
"step": 1400
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 7.07,
|
915 |
+
"learning_rate": 2.6276276276276277e-06,
|
916 |
+
"loss": 0.0007,
|
917 |
+
"step": 1410
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 7.08,
|
921 |
+
"learning_rate": 2.2522522522522524e-06,
|
922 |
+
"loss": 0.016,
|
923 |
+
"step": 1420
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 7.09,
|
927 |
+
"learning_rate": 1.876876876876877e-06,
|
928 |
+
"loss": 0.0008,
|
929 |
+
"step": 1430
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 7.09,
|
933 |
+
"learning_rate": 1.5015015015015015e-06,
|
934 |
+
"loss": 0.0023,
|
935 |
+
"step": 1440
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 7.1,
|
939 |
+
"learning_rate": 1.1261261261261262e-06,
|
940 |
+
"loss": 0.0007,
|
941 |
+
"step": 1450
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 7.11,
|
945 |
+
"learning_rate": 7.507507507507508e-07,
|
946 |
+
"loss": 0.0007,
|
947 |
+
"step": 1460
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 7.11,
|
951 |
+
"learning_rate": 3.753753753753754e-07,
|
952 |
+
"loss": 0.0007,
|
953 |
+
"step": 1470
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 7.12,
|
957 |
+
"learning_rate": 0.0,
|
958 |
+
"loss": 0.0008,
|
959 |
+
"step": 1480
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 7.12,
|
963 |
+
"eval_accuracy": 0.7978723404255319,
|
964 |
+
"eval_loss": 1.0017523765563965,
|
965 |
+
"eval_runtime": 123.2439,
|
966 |
+
"eval_samples_per_second": 1.525,
|
967 |
+
"eval_steps_per_second": 0.195,
|
968 |
+
"step": 1480
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 7.12,
|
972 |
+
"step": 1480,
|
973 |
+
"total_flos": 1.4692740659720847e+19,
|
974 |
+
"train_loss": 0.1616095771478187,
|
975 |
+
"train_runtime": 12949.9285,
|
976 |
+
"train_samples_per_second": 0.914,
|
977 |
+
"train_steps_per_second": 0.114
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 7.12,
|
981 |
+
"eval_accuracy": 0.7916666666666666,
|
982 |
+
"eval_loss": 0.6821911931037903,
|
983 |
+
"eval_runtime": 285.028,
|
984 |
+
"eval_samples_per_second": 0.674,
|
985 |
+
"eval_steps_per_second": 0.084,
|
986 |
+
"step": 1480
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 7.12,
|
990 |
+
"eval_accuracy": 0.7916666666666666,
|
991 |
+
"eval_loss": 0.6821911931037903,
|
992 |
+
"eval_runtime": 126.6935,
|
993 |
+
"eval_samples_per_second": 1.515,
|
994 |
+
"eval_steps_per_second": 0.189,
|
995 |
+
"step": 1480
|
996 |
+
}
|
997 |
+
],
|
998 |
+
"max_steps": 1480,
|
999 |
+
"num_train_epochs": 9223372036854775807,
|
1000 |
+
"total_flos": 1.4692740659720847e+19,
|
1001 |
+
"trial_name": null,
|
1002 |
+
"trial_params": null
|
1003 |
+
}
|