Coelhomatias
commited on
Commit
•
4907e7d
1
Parent(s):
ae7dad9
End of training
Browse files- all_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +1020 -0
all_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 14.98,
|
3 |
+
"train_loss": 0.2219778089443193,
|
4 |
+
"train_runtime": 55065.7639,
|
5 |
+
"train_samples_per_second": 9.607,
|
6 |
+
"train_steps_per_second": 0.1
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 14.98,
|
3 |
+
"train_loss": 0.2219778089443193,
|
4 |
+
"train_runtime": 55065.7639,
|
5 |
+
"train_samples_per_second": 9.607,
|
6 |
+
"train_steps_per_second": 0.1
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1020 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.29125073552131653,
|
3 |
+
"best_model_checkpoint": "deit-cvc-drop-aug/checkpoint-1800",
|
4 |
+
"epoch": 14.979591836734693,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 5505,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.27,
|
13 |
+
"learning_rate": 9.991860321746833e-05,
|
14 |
+
"loss": 0.5453,
|
15 |
+
"step": 100
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.27,
|
19 |
+
"eval_accuracy": 0.7695840775708089,
|
20 |
+
"eval_f1": 0.7750933997509339,
|
21 |
+
"eval_loss": 0.48243534564971924,
|
22 |
+
"eval_precision": 0.7776111944027986,
|
23 |
+
"eval_recall": 0.7725918570009931,
|
24 |
+
"eval_runtime": 15.4841,
|
25 |
+
"eval_samples_per_second": 253.098,
|
26 |
+
"eval_steps_per_second": 15.823,
|
27 |
+
"step": 100
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.54,
|
31 |
+
"learning_rate": 9.967467788732156e-05,
|
32 |
+
"loss": 0.4324,
|
33 |
+
"step": 200
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.54,
|
37 |
+
"eval_accuracy": 0.7685634090329165,
|
38 |
+
"eval_f1": 0.7637405574368324,
|
39 |
+
"eval_loss": 0.4796455502510071,
|
40 |
+
"eval_precision": 0.8032876712328767,
|
41 |
+
"eval_recall": 0.7279046673286991,
|
42 |
+
"eval_runtime": 15.2008,
|
43 |
+
"eval_samples_per_second": 257.815,
|
44 |
+
"eval_steps_per_second": 16.118,
|
45 |
+
"step": 200
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.82,
|
49 |
+
"learning_rate": 9.926901819904178e-05,
|
50 |
+
"loss": 0.4042,
|
51 |
+
"step": 300
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.82,
|
55 |
+
"eval_accuracy": 0.8321000255167135,
|
56 |
+
"eval_f1": 0.8546819787985865,
|
57 |
+
"eval_loss": 0.3790486454963684,
|
58 |
+
"eval_precision": 0.7696897374701671,
|
59 |
+
"eval_recall": 0.9607745779543198,
|
60 |
+
"eval_runtime": 15.77,
|
61 |
+
"eval_samples_per_second": 248.509,
|
62 |
+
"eval_steps_per_second": 15.536,
|
63 |
+
"step": 300
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 1.09,
|
67 |
+
"learning_rate": 9.870294492836612e-05,
|
68 |
+
"loss": 0.3849,
|
69 |
+
"step": 400
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 1.09,
|
73 |
+
"eval_accuracy": 0.8101556519520285,
|
74 |
+
"eval_f1": 0.8161146811665843,
|
75 |
+
"eval_loss": 0.4099680185317993,
|
76 |
+
"eval_precision": 0.8125,
|
77 |
+
"eval_recall": 0.8197616683217478,
|
78 |
+
"eval_runtime": 13.9661,
|
79 |
+
"eval_samples_per_second": 280.608,
|
80 |
+
"eval_steps_per_second": 17.542,
|
81 |
+
"step": 400
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.36,
|
85 |
+
"learning_rate": 9.797830113701101e-05,
|
86 |
+
"loss": 0.3621,
|
87 |
+
"step": 500
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.36,
|
91 |
+
"eval_accuracy": 0.8387343710130135,
|
92 |
+
"eval_f1": 0.8510838831291235,
|
93 |
+
"eval_loss": 0.36887437105178833,
|
94 |
+
"eval_precision": 0.809865470852018,
|
95 |
+
"eval_recall": 0.8967229394240318,
|
96 |
+
"eval_runtime": 14.7142,
|
97 |
+
"eval_samples_per_second": 266.341,
|
98 |
+
"eval_steps_per_second": 16.651,
|
99 |
+
"step": 500
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 1.63,
|
103 |
+
"learning_rate": 9.709744617190038e-05,
|
104 |
+
"loss": 0.3457,
|
105 |
+
"step": 600
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.63,
|
109 |
+
"eval_accuracy": 0.8458790507782598,
|
110 |
+
"eval_f1": 0.8642086330935251,
|
111 |
+
"eval_loss": 0.3312939703464508,
|
112 |
+
"eval_precision": 0.7896466721446179,
|
113 |
+
"eval_recall": 0.9543197616683218,
|
114 |
+
"eval_runtime": 15.9456,
|
115 |
+
"eval_samples_per_second": 245.773,
|
116 |
+
"eval_steps_per_second": 15.365,
|
117 |
+
"step": 600
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.9,
|
121 |
+
"learning_rate": 9.606324798343567e-05,
|
122 |
+
"loss": 0.3443,
|
123 |
+
"step": 700
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 1.9,
|
127 |
+
"eval_accuracy": 0.840520540954325,
|
128 |
+
"eval_f1": 0.8599596683844947,
|
129 |
+
"eval_loss": 0.3424055874347687,
|
130 |
+
"eval_precision": 0.7835851367905268,
|
131 |
+
"eval_recall": 0.9528301886792453,
|
132 |
+
"eval_runtime": 15.7574,
|
133 |
+
"eval_samples_per_second": 248.708,
|
134 |
+
"eval_steps_per_second": 15.548,
|
135 |
+
"step": 700
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.18,
|
139 |
+
"learning_rate": 9.487907378781853e-05,
|
140 |
+
"loss": 0.3287,
|
141 |
+
"step": 800
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 2.18,
|
145 |
+
"eval_accuracy": 0.8453687165093136,
|
146 |
+
"eval_f1": 0.8560570071258907,
|
147 |
+
"eval_loss": 0.33078569173812866,
|
148 |
+
"eval_precision": 0.8205828779599271,
|
149 |
+
"eval_recall": 0.8947368421052632,
|
150 |
+
"eval_runtime": 14.597,
|
151 |
+
"eval_samples_per_second": 268.479,
|
152 |
+
"eval_steps_per_second": 16.784,
|
153 |
+
"step": 800
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 2.45,
|
157 |
+
"learning_rate": 9.35487791038282e-05,
|
158 |
+
"loss": 0.3224,
|
159 |
+
"step": 900
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.45,
|
163 |
+
"eval_accuracy": 0.7655014034192396,
|
164 |
+
"eval_f1": 0.7437970448843045,
|
165 |
+
"eval_loss": 0.454572468996048,
|
166 |
+
"eval_precision": 0.8480610298792117,
|
167 |
+
"eval_recall": 0.6623634558093346,
|
168 |
+
"eval_runtime": 15.6304,
|
169 |
+
"eval_samples_per_second": 250.73,
|
170 |
+
"eval_steps_per_second": 15.675,
|
171 |
+
"step": 900
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 2.72,
|
175 |
+
"learning_rate": 9.207669519974851e-05,
|
176 |
+
"loss": 0.3096,
|
177 |
+
"step": 1000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.72,
|
181 |
+
"eval_accuracy": 0.8438377137024751,
|
182 |
+
"eval_f1": 0.8521024649589173,
|
183 |
+
"eval_loss": 0.34022626280784607,
|
184 |
+
"eval_precision": 0.8300376647834274,
|
185 |
+
"eval_recall": 0.8753723932472691,
|
186 |
+
"eval_runtime": 15.4283,
|
187 |
+
"eval_samples_per_second": 254.014,
|
188 |
+
"eval_steps_per_second": 15.88,
|
189 |
+
"step": 1000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 2.99,
|
193 |
+
"learning_rate": 9.046761499131578e-05,
|
194 |
+
"loss": 0.3095,
|
195 |
+
"step": 1100
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2.99,
|
199 |
+
"eval_accuracy": 0.8384792038785405,
|
200 |
+
"eval_f1": 0.8524131499183958,
|
201 |
+
"eval_loss": 0.36910393834114075,
|
202 |
+
"eval_precision": 0.8035164835164835,
|
203 |
+
"eval_recall": 0.9076464746772592,
|
204 |
+
"eval_runtime": 15.4854,
|
205 |
+
"eval_samples_per_second": 253.077,
|
206 |
+
"eval_steps_per_second": 15.821,
|
207 |
+
"step": 1100
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 3.27,
|
211 |
+
"learning_rate": 8.872677743660209e-05,
|
212 |
+
"loss": 0.2901,
|
213 |
+
"step": 1200
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 3.27,
|
217 |
+
"eval_accuracy": 0.8328655269201327,
|
218 |
+
"eval_f1": 0.8467119120056167,
|
219 |
+
"eval_loss": 0.36432939767837524,
|
220 |
+
"eval_precision": 0.8007968127490039,
|
221 |
+
"eval_recall": 0.8982125124131083,
|
222 |
+
"eval_runtime": 14.6332,
|
223 |
+
"eval_samples_per_second": 267.816,
|
224 |
+
"eval_steps_per_second": 16.743,
|
225 |
+
"step": 1200
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 3.54,
|
229 |
+
"learning_rate": 8.685985047864204e-05,
|
230 |
+
"loss": 0.2939,
|
231 |
+
"step": 1300
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 3.54,
|
235 |
+
"eval_accuracy": 0.8601684103087522,
|
236 |
+
"eval_f1": 0.8760180995475113,
|
237 |
+
"eval_loss": 0.30208107829093933,
|
238 |
+
"eval_precision": 0.8046550290939318,
|
239 |
+
"eval_recall": 0.9612711022840119,
|
240 |
+
"eval_runtime": 14.6512,
|
241 |
+
"eval_samples_per_second": 267.487,
|
242 |
+
"eval_steps_per_second": 16.722,
|
243 |
+
"step": 1300
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 3.81,
|
247 |
+
"learning_rate": 8.487291259133956e-05,
|
248 |
+
"loss": 0.2946,
|
249 |
+
"step": 1400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 3.81,
|
253 |
+
"eval_accuracy": 0.8300586884409288,
|
254 |
+
"eval_f1": 0.8342458934793429,
|
255 |
+
"eval_loss": 0.36171799898147583,
|
256 |
+
"eval_precision": 0.8363273453093812,
|
257 |
+
"eval_recall": 0.8321747765640516,
|
258 |
+
"eval_runtime": 15.3842,
|
259 |
+
"eval_samples_per_second": 254.741,
|
260 |
+
"eval_steps_per_second": 15.925,
|
261 |
+
"step": 1400
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 4.08,
|
265 |
+
"learning_rate": 8.277243298873936e-05,
|
266 |
+
"loss": 0.2856,
|
267 |
+
"step": 1500
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 4.08,
|
271 |
+
"eval_accuracy": 0.8127073232967594,
|
272 |
+
"eval_f1": 0.8116016427104723,
|
273 |
+
"eval_loss": 0.48843976855278015,
|
274 |
+
"eval_precision": 0.8400637619553666,
|
275 |
+
"eval_recall": 0.7850049652432969,
|
276 |
+
"eval_runtime": 14.4792,
|
277 |
+
"eval_samples_per_second": 270.663,
|
278 |
+
"eval_steps_per_second": 16.921,
|
279 |
+
"step": 1500
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 4.35,
|
283 |
+
"learning_rate": 8.056525056209841e-05,
|
284 |
+
"loss": 0.2683,
|
285 |
+
"step": 1600
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 4.35,
|
289 |
+
"eval_accuracy": 0.834141362592498,
|
290 |
+
"eval_f1": 0.8380667663178873,
|
291 |
+
"eval_loss": 0.3540255129337311,
|
292 |
+
"eval_precision": 0.841,
|
293 |
+
"eval_recall": 0.8351539225422046,
|
294 |
+
"eval_runtime": 15.1561,
|
295 |
+
"eval_samples_per_second": 258.575,
|
296 |
+
"eval_steps_per_second": 16.165,
|
297 |
+
"step": 1600
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 4.63,
|
301 |
+
"learning_rate": 7.82585516133363e-05,
|
302 |
+
"loss": 0.2724,
|
303 |
+
"step": 1700
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 4.63,
|
307 |
+
"eval_accuracy": 0.8581270732329676,
|
308 |
+
"eval_f1": 0.8664745437079732,
|
309 |
+
"eval_loss": 0.30780917406082153,
|
310 |
+
"eval_precision": 0.8390697674418605,
|
311 |
+
"eval_recall": 0.8957298907646475,
|
312 |
+
"eval_runtime": 14.446,
|
313 |
+
"eval_samples_per_second": 271.286,
|
314 |
+
"eval_steps_per_second": 16.96,
|
315 |
+
"step": 1700
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 4.9,
|
319 |
+
"learning_rate": 7.585984645736096e-05,
|
320 |
+
"loss": 0.2685,
|
321 |
+
"step": 1800
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 4.9,
|
325 |
+
"eval_accuracy": 0.862720081653483,
|
326 |
+
"eval_f1": 0.8703614457831326,
|
327 |
+
"eval_loss": 0.29125073552131653,
|
328 |
+
"eval_precision": 0.8455056179775281,
|
329 |
+
"eval_recall": 0.8967229394240318,
|
330 |
+
"eval_runtime": 15.5954,
|
331 |
+
"eval_samples_per_second": 251.291,
|
332 |
+
"eval_steps_per_second": 15.71,
|
333 |
+
"step": 1800
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 5.17,
|
337 |
+
"learning_rate": 7.33769449694499e-05,
|
338 |
+
"loss": 0.2449,
|
339 |
+
"step": 1900
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 5.17,
|
343 |
+
"eval_accuracy": 0.8443480479714213,
|
344 |
+
"eval_f1": 0.8490099009900989,
|
345 |
+
"eval_loss": 0.38658004999160767,
|
346 |
+
"eval_precision": 0.8464955577492597,
|
347 |
+
"eval_recall": 0.8515392254220456,
|
348 |
+
"eval_runtime": 16.0186,
|
349 |
+
"eval_samples_per_second": 244.653,
|
350 |
+
"eval_steps_per_second": 15.295,
|
351 |
+
"step": 1900
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 5.44,
|
355 |
+
"learning_rate": 7.081793115730153e-05,
|
356 |
+
"loss": 0.2468,
|
357 |
+
"step": 2000
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 5.44,
|
361 |
+
"eval_accuracy": 0.8588925746363868,
|
362 |
+
"eval_f1": 0.8670353450348642,
|
363 |
+
"eval_loss": 0.30722111463546753,
|
364 |
+
"eval_precision": 0.8405594405594405,
|
365 |
+
"eval_recall": 0.8952333664349553,
|
366 |
+
"eval_runtime": 15.614,
|
367 |
+
"eval_samples_per_second": 250.993,
|
368 |
+
"eval_steps_per_second": 15.691,
|
369 |
+
"step": 2000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 5.71,
|
373 |
+
"learning_rate": 6.819113684054634e-05,
|
374 |
+
"loss": 0.2557,
|
375 |
+
"step": 2100
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 5.71,
|
379 |
+
"eval_accuracy": 0.8257208471548865,
|
380 |
+
"eval_f1": 0.8232858990944373,
|
381 |
+
"eval_loss": 0.3735339641571045,
|
382 |
+
"eval_precision": 0.8595353862776878,
|
383 |
+
"eval_recall": 0.7899702085402185,
|
384 |
+
"eval_runtime": 15.378,
|
385 |
+
"eval_samples_per_second": 254.845,
|
386 |
+
"eval_steps_per_second": 15.932,
|
387 |
+
"step": 2100
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 5.99,
|
391 |
+
"learning_rate": 6.550511452341459e-05,
|
392 |
+
"loss": 0.25,
|
393 |
+
"step": 2200
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 5.99,
|
397 |
+
"eval_accuracy": 0.8553202347537637,
|
398 |
+
"eval_f1": 0.8561278863232682,
|
399 |
+
"eval_loss": 0.3116500973701477,
|
400 |
+
"eval_precision": 0.8754540736896731,
|
401 |
+
"eval_recall": 0.8376365441906654,
|
402 |
+
"eval_runtime": 15.151,
|
403 |
+
"eval_samples_per_second": 258.663,
|
404 |
+
"eval_steps_per_second": 16.171,
|
405 |
+
"step": 2200
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 6.26,
|
409 |
+
"learning_rate": 6.276860954888322e-05,
|
410 |
+
"loss": 0.2256,
|
411 |
+
"step": 2300
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 6.26,
|
415 |
+
"eval_accuracy": 0.8573615718295483,
|
416 |
+
"eval_f1": 0.8652687394552905,
|
417 |
+
"eval_loss": 0.3264216184616089,
|
418 |
+
"eval_precision": 0.8407494145199064,
|
419 |
+
"eval_recall": 0.891261171797418,
|
420 |
+
"eval_runtime": 13.8247,
|
421 |
+
"eval_samples_per_second": 283.478,
|
422 |
+
"eval_steps_per_second": 17.722,
|
423 |
+
"step": 2300
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 6.53,
|
427 |
+
"learning_rate": 5.999053162496453e-05,
|
428 |
+
"loss": 0.234,
|
429 |
+
"step": 2400
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 6.53,
|
433 |
+
"eval_accuracy": 0.8295483541719827,
|
434 |
+
"eval_f1": 0.8203335126412049,
|
435 |
+
"eval_loss": 0.3617473244667053,
|
436 |
+
"eval_precision": 0.8949530516431925,
|
437 |
+
"eval_recall": 0.7571996027805362,
|
438 |
+
"eval_runtime": 14.3944,
|
439 |
+
"eval_samples_per_second": 272.259,
|
440 |
+
"eval_steps_per_second": 17.02,
|
441 |
+
"step": 2400
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 6.8,
|
445 |
+
"learning_rate": 5.717992581584373e-05,
|
446 |
+
"loss": 0.2259,
|
447 |
+
"step": 2500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 6.8,
|
451 |
+
"eval_accuracy": 0.8609339117121715,
|
452 |
+
"eval_f1": 0.8679428156045553,
|
453 |
+
"eval_loss": 0.32836005091667175,
|
454 |
+
"eval_precision": 0.8476100331282537,
|
455 |
+
"eval_recall": 0.8892750744786495,
|
456 |
+
"eval_runtime": 15.9578,
|
457 |
+
"eval_samples_per_second": 245.585,
|
458 |
+
"eval_steps_per_second": 15.353,
|
459 |
+
"step": 2500
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 7.07,
|
463 |
+
"learning_rate": 5.434594309231389e-05,
|
464 |
+
"loss": 0.2261,
|
465 |
+
"step": 2600
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 7.07,
|
469 |
+
"eval_accuracy": 0.8443480479714213,
|
470 |
+
"eval_f1": 0.8375066595631327,
|
471 |
+
"eval_loss": 0.34862977266311646,
|
472 |
+
"eval_precision": 0.903448275862069,
|
473 |
+
"eval_recall": 0.7805362462760675,
|
474 |
+
"eval_runtime": 14.7094,
|
475 |
+
"eval_samples_per_second": 266.428,
|
476 |
+
"eval_steps_per_second": 16.656,
|
477 |
+
"step": 2600
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 7.35,
|
481 |
+
"learning_rate": 5.1497810537392844e-05,
|
482 |
+
"loss": 0.2087,
|
483 |
+
"step": 2700
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 7.35,
|
487 |
+
"eval_accuracy": 0.836948201071702,
|
488 |
+
"eval_f1": 0.8365310821181888,
|
489 |
+
"eval_loss": 0.3970935046672821,
|
490 |
+
"eval_precision": 0.862796833773087,
|
491 |
+
"eval_recall": 0.8118172790466733,
|
492 |
+
"eval_runtime": 15.0606,
|
493 |
+
"eval_samples_per_second": 260.215,
|
494 |
+
"eval_steps_per_second": 16.268,
|
495 |
+
"step": 2700
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 7.62,
|
499 |
+
"learning_rate": 4.8644801304128374e-05,
|
500 |
+
"loss": 0.2035,
|
501 |
+
"step": 2800
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 7.62,
|
505 |
+
"eval_accuracy": 0.878285276856341,
|
506 |
+
"eval_f1": 0.8830595734248591,
|
507 |
+
"eval_loss": 0.31056222319602966,
|
508 |
+
"eval_precision": 0.8721549636803874,
|
509 |
+
"eval_recall": 0.894240317775571,
|
510 |
+
"eval_runtime": 15.0478,
|
511 |
+
"eval_samples_per_second": 260.437,
|
512 |
+
"eval_steps_per_second": 16.281,
|
513 |
+
"step": 2800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 7.89,
|
517 |
+
"learning_rate": 4.57962044234053e-05,
|
518 |
+
"loss": 0.2116,
|
519 |
+
"step": 2900
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 7.89,
|
523 |
+
"eval_accuracy": 0.8451135493748405,
|
524 |
+
"eval_f1": 0.8428682371214082,
|
525 |
+
"eval_loss": 0.3734387159347534,
|
526 |
+
"eval_precision": 0.8804759329367225,
|
527 |
+
"eval_recall": 0.8083416087388282,
|
528 |
+
"eval_runtime": 15.0966,
|
529 |
+
"eval_samples_per_second": 259.594,
|
530 |
+
"eval_steps_per_second": 16.229,
|
531 |
+
"step": 2900
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 8.16,
|
535 |
+
"learning_rate": 4.2961294560056445e-05,
|
536 |
+
"loss": 0.1956,
|
537 |
+
"step": 3000
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 8.16,
|
541 |
+
"eval_accuracy": 0.85914774177086,
|
542 |
+
"eval_f1": 0.863298662704309,
|
543 |
+
"eval_loss": 0.3442569077014923,
|
544 |
+
"eval_precision": 0.8611660079051383,
|
545 |
+
"eval_recall": 0.865441906653426,
|
546 |
+
"eval_runtime": 15.4752,
|
547 |
+
"eval_samples_per_second": 253.245,
|
548 |
+
"eval_steps_per_second": 15.832,
|
549 |
+
"step": 3000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 8.44,
|
553 |
+
"learning_rate": 4.01493018157476e-05,
|
554 |
+
"loss": 0.1826,
|
555 |
+
"step": 3100
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 8.44,
|
559 |
+
"eval_accuracy": 0.8423067108956367,
|
560 |
+
"eval_f1": 0.8373684210526314,
|
561 |
+
"eval_loss": 0.3795164227485657,
|
562 |
+
"eval_precision": 0.8908174692049272,
|
563 |
+
"eval_recall": 0.7899702085402185,
|
564 |
+
"eval_runtime": 15.3206,
|
565 |
+
"eval_samples_per_second": 255.8,
|
566 |
+
"eval_steps_per_second": 15.992,
|
567 |
+
"step": 3100
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 8.71,
|
571 |
+
"learning_rate": 3.7369381676954284e-05,
|
572 |
+
"loss": 0.1918,
|
573 |
+
"step": 3200
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 8.71,
|
577 |
+
"eval_accuracy": 0.8581270732329676,
|
578 |
+
"eval_f1": 0.8569222851260936,
|
579 |
+
"eval_loss": 0.33620110154151917,
|
580 |
+
"eval_precision": 0.8894230769230769,
|
581 |
+
"eval_recall": 0.8267130089374379,
|
582 |
+
"eval_runtime": 14.574,
|
583 |
+
"eval_samples_per_second": 268.904,
|
584 |
+
"eval_steps_per_second": 16.811,
|
585 |
+
"step": 3200
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 8.98,
|
589 |
+
"learning_rate": 3.463058520587625e-05,
|
590 |
+
"loss": 0.1886,
|
591 |
+
"step": 3300
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 8.98,
|
595 |
+
"eval_accuracy": 0.8639959173258485,
|
596 |
+
"eval_f1": 0.8692666176109884,
|
597 |
+
"eval_loss": 0.3259018063545227,
|
598 |
+
"eval_precision": 0.8589432864760058,
|
599 |
+
"eval_recall": 0.8798411122144985,
|
600 |
+
"eval_runtime": 14.5325,
|
601 |
+
"eval_samples_per_second": 269.671,
|
602 |
+
"eval_steps_per_second": 16.859,
|
603 |
+
"step": 3300
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 9.25,
|
607 |
+
"learning_rate": 3.194182957134365e-05,
|
608 |
+
"loss": 0.1716,
|
609 |
+
"step": 3400
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 9.25,
|
613 |
+
"eval_accuracy": 0.846389385047206,
|
614 |
+
"eval_f1": 0.8481331987891019,
|
615 |
+
"eval_loss": 0.4269343912601471,
|
616 |
+
"eval_precision": 0.862051282051282,
|
617 |
+
"eval_recall": 0.8346573982125124,
|
618 |
+
"eval_runtime": 15.0706,
|
619 |
+
"eval_samples_per_second": 260.043,
|
620 |
+
"eval_steps_per_second": 16.257,
|
621 |
+
"step": 3400
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 9.52,
|
625 |
+
"learning_rate": 2.9311869015663125e-05,
|
626 |
+
"loss": 0.1654,
|
627 |
+
"step": 3500
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 9.52,
|
631 |
+
"eval_accuracy": 0.859658076039806,
|
632 |
+
"eval_f1": 0.858974358974359,
|
633 |
+
"eval_loss": 0.40663468837738037,
|
634 |
+
"eval_precision": 0.8881230116648993,
|
635 |
+
"eval_recall": 0.8316782522343595,
|
636 |
+
"eval_runtime": 13.6261,
|
637 |
+
"eval_samples_per_second": 287.609,
|
638 |
+
"eval_steps_per_second": 17.98,
|
639 |
+
"step": 3500
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 9.8,
|
643 |
+
"learning_rate": 2.674926635193134e-05,
|
644 |
+
"loss": 0.1625,
|
645 |
+
"step": 3600
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 9.8,
|
649 |
+
"eval_accuracy": 0.8512375606021945,
|
650 |
+
"eval_f1": 0.8488462535649469,
|
651 |
+
"eval_loss": 0.3926689624786377,
|
652 |
+
"eval_precision": 0.8882257189365166,
|
653 |
+
"eval_recall": 0.8128103277060575,
|
654 |
+
"eval_runtime": 15.0764,
|
655 |
+
"eval_samples_per_second": 259.943,
|
656 |
+
"eval_steps_per_second": 16.251,
|
657 |
+
"step": 3600
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 10.07,
|
661 |
+
"learning_rate": 2.42623650846177e-05,
|
662 |
+
"loss": 0.1659,
|
663 |
+
"step": 3700
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 10.07,
|
667 |
+
"eval_accuracy": 0.8548099004848175,
|
668 |
+
"eval_f1": 0.8529335745670716,
|
669 |
+
"eval_loss": 0.37967267632484436,
|
670 |
+
"eval_precision": 0.889487870619946,
|
671 |
+
"eval_recall": 0.8192651439920556,
|
672 |
+
"eval_runtime": 14.8402,
|
673 |
+
"eval_samples_per_second": 264.08,
|
674 |
+
"eval_steps_per_second": 16.509,
|
675 |
+
"step": 3700
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 10.34,
|
679 |
+
"learning_rate": 2.1859262244187556e-05,
|
680 |
+
"loss": 0.1519,
|
681 |
+
"step": 3800
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 10.34,
|
685 |
+
"eval_accuracy": 0.8512375606021945,
|
686 |
+
"eval_f1": 0.8502440277421012,
|
687 |
+
"eval_loss": 0.4088890254497528,
|
688 |
+
"eval_precision": 0.8807876530069185,
|
689 |
+
"eval_recall": 0.8217477656405164,
|
690 |
+
"eval_runtime": 15.4244,
|
691 |
+
"eval_samples_per_second": 254.079,
|
692 |
+
"eval_steps_per_second": 15.884,
|
693 |
+
"step": 3800
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 10.61,
|
697 |
+
"learning_rate": 1.9547782024213047e-05,
|
698 |
+
"loss": 0.1484,
|
699 |
+
"step": 3900
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 10.61,
|
703 |
+
"eval_accuracy": 0.8545547333503445,
|
704 |
+
"eval_f1": 0.8533950617283951,
|
705 |
+
"eval_loss": 0.3864934742450714,
|
706 |
+
"eval_precision": 0.8852721451440768,
|
707 |
+
"eval_recall": 0.823733862959285,
|
708 |
+
"eval_runtime": 14.9541,
|
709 |
+
"eval_samples_per_second": 262.069,
|
710 |
+
"eval_steps_per_second": 16.383,
|
711 |
+
"step": 3900
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 10.88,
|
715 |
+
"learning_rate": 1.7335450306805827e-05,
|
716 |
+
"loss": 0.1427,
|
717 |
+
"step": 4000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 10.88,
|
721 |
+
"eval_accuracy": 0.846389385047206,
|
722 |
+
"eval_f1": 0.8427377220480669,
|
723 |
+
"eval_loss": 0.4346730411052704,
|
724 |
+
"eval_precision": 0.8891951488423374,
|
725 |
+
"eval_recall": 0.8008937437934459,
|
726 |
+
"eval_runtime": 15.9395,
|
727 |
+
"eval_samples_per_second": 245.867,
|
728 |
+
"eval_steps_per_second": 15.371,
|
729 |
+
"step": 4000
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 11.16,
|
733 |
+
"learning_rate": 1.522947015931348e-05,
|
734 |
+
"loss": 0.1375,
|
735 |
+
"step": 4100
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 11.16,
|
739 |
+
"eval_accuracy": 0.8548099004848175,
|
740 |
+
"eval_f1": 0.8532370389476398,
|
741 |
+
"eval_loss": 0.4687642753124237,
|
742 |
+
"eval_precision": 0.8878153515834675,
|
743 |
+
"eval_recall": 0.8212512413108243,
|
744 |
+
"eval_runtime": 14.957,
|
745 |
+
"eval_samples_per_second": 262.017,
|
746 |
+
"eval_steps_per_second": 16.38,
|
747 |
+
"step": 4100
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 11.43,
|
751 |
+
"learning_rate": 1.3236698382059287e-05,
|
752 |
+
"loss": 0.1276,
|
753 |
+
"step": 4200
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 11.43,
|
757 |
+
"eval_accuracy": 0.846899719316152,
|
758 |
+
"eval_f1": 0.8426023084994753,
|
759 |
+
"eval_loss": 0.4686568081378937,
|
760 |
+
"eval_precision": 0.8932146829810901,
|
761 |
+
"eval_recall": 0.7974180734856008,
|
762 |
+
"eval_runtime": 13.9054,
|
763 |
+
"eval_samples_per_second": 281.833,
|
764 |
+
"eval_steps_per_second": 17.619,
|
765 |
+
"step": 4200
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 11.7,
|
769 |
+
"learning_rate": 1.1363623183482775e-05,
|
770 |
+
"loss": 0.1275,
|
771 |
+
"step": 4300
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 11.7,
|
775 |
+
"eval_accuracy": 0.8486858892574637,
|
776 |
+
"eval_f1": 0.8447237496726892,
|
777 |
+
"eval_loss": 0.4493071436882019,
|
778 |
+
"eval_precision": 0.8936288088642659,
|
779 |
+
"eval_recall": 0.8008937437934459,
|
780 |
+
"eval_runtime": 14.5625,
|
781 |
+
"eval_samples_per_second": 269.116,
|
782 |
+
"eval_steps_per_second": 16.824,
|
783 |
+
"step": 4300
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 11.97,
|
787 |
+
"learning_rate": 9.616343055368083e-06,
|
788 |
+
"loss": 0.1349,
|
789 |
+
"step": 4400
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 11.97,
|
793 |
+
"eval_accuracy": 0.8423067108956367,
|
794 |
+
"eval_f1": 0.8360742705570292,
|
795 |
+
"eval_loss": 0.4618338346481323,
|
796 |
+
"eval_precision": 0.89749430523918,
|
797 |
+
"eval_recall": 0.7825223435948362,
|
798 |
+
"eval_runtime": 14.9603,
|
799 |
+
"eval_samples_per_second": 261.96,
|
800 |
+
"eval_steps_per_second": 16.377,
|
801 |
+
"step": 4400
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 12.24,
|
805 |
+
"learning_rate": 8.000546916939644e-06,
|
806 |
+
"loss": 0.1217,
|
807 |
+
"step": 4500
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 12.24,
|
811 |
+
"eval_accuracy": 0.849706557795356,
|
812 |
+
"eval_f1": 0.8450407787424362,
|
813 |
+
"eval_loss": 0.4635533094406128,
|
814 |
+
"eval_precision": 0.8987129266927812,
|
815 |
+
"eval_recall": 0.7974180734856008,
|
816 |
+
"eval_runtime": 15.9792,
|
817 |
+
"eval_samples_per_second": 245.256,
|
818 |
+
"eval_steps_per_second": 15.332,
|
819 |
+
"step": 4500
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 12.52,
|
823 |
+
"learning_rate": 6.521495592473259e-06,
|
824 |
+
"loss": 0.1211,
|
825 |
+
"step": 4600
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 12.52,
|
829 |
+
"eval_accuracy": 0.8555754018882368,
|
830 |
+
"eval_f1": 0.855316973415133,
|
831 |
+
"eval_loss": 0.45266029238700867,
|
832 |
+
"eval_precision": 0.8814541622760801,
|
833 |
+
"eval_recall": 0.8306852035749752,
|
834 |
+
"eval_runtime": 15.4568,
|
835 |
+
"eval_samples_per_second": 253.545,
|
836 |
+
"eval_steps_per_second": 15.851,
|
837 |
+
"step": 4600
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 12.79,
|
841 |
+
"learning_rate": 5.184004682729348e-06,
|
842 |
+
"loss": 0.1164,
|
843 |
+
"step": 4700
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 12.79,
|
847 |
+
"eval_accuracy": 0.8545547333503445,
|
848 |
+
"eval_f1": 0.851639770952629,
|
849 |
+
"eval_loss": 0.46692270040512085,
|
850 |
+
"eval_precision": 0.8949671772428884,
|
851 |
+
"eval_recall": 0.8123138033763655,
|
852 |
+
"eval_runtime": 16.339,
|
853 |
+
"eval_samples_per_second": 239.856,
|
854 |
+
"eval_steps_per_second": 14.995,
|
855 |
+
"step": 4700
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 13.06,
|
859 |
+
"learning_rate": 3.992428885976652e-06,
|
860 |
+
"loss": 0.1119,
|
861 |
+
"step": 4800
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 13.06,
|
865 |
+
"eval_accuracy": 0.8517478948711406,
|
866 |
+
"eval_f1": 0.8495987574424021,
|
867 |
+
"eval_loss": 0.461725115776062,
|
868 |
+
"eval_precision": 0.8875067604110329,
|
869 |
+
"eval_recall": 0.8147964250248262,
|
870 |
+
"eval_runtime": 15.7126,
|
871 |
+
"eval_samples_per_second": 249.418,
|
872 |
+
"eval_steps_per_second": 15.593,
|
873 |
+
"step": 4800
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 13.33,
|
877 |
+
"learning_rate": 2.9506478196551055e-06,
|
878 |
+
"loss": 0.11,
|
879 |
+
"step": 4900
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 13.33,
|
883 |
+
"eval_accuracy": 0.8507272263332483,
|
884 |
+
"eval_f1": 0.848012470771629,
|
885 |
+
"eval_loss": 0.4718102216720581,
|
886 |
+
"eval_precision": 0.8893732970027248,
|
887 |
+
"eval_recall": 0.8103277060575969,
|
888 |
+
"eval_runtime": 15.1226,
|
889 |
+
"eval_samples_per_second": 259.149,
|
890 |
+
"eval_steps_per_second": 16.201,
|
891 |
+
"step": 4900
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 13.61,
|
895 |
+
"learning_rate": 2.062053388840768e-06,
|
896 |
+
"loss": 0.1138,
|
897 |
+
"step": 5000
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 13.61,
|
901 |
+
"eval_accuracy": 0.8479203878540444,
|
902 |
+
"eval_f1": 0.8437336130047195,
|
903 |
+
"eval_loss": 0.48920777440071106,
|
904 |
+
"eval_precision": 0.8938888888888888,
|
905 |
+
"eval_recall": 0.7989076464746773,
|
906 |
+
"eval_runtime": 15.5429,
|
907 |
+
"eval_samples_per_second": 252.14,
|
908 |
+
"eval_steps_per_second": 15.763,
|
909 |
+
"step": 5000
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 13.88,
|
913 |
+
"learning_rate": 1.329538742639358e-06,
|
914 |
+
"loss": 0.1058,
|
915 |
+
"step": 5100
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 13.88,
|
919 |
+
"eval_accuracy": 0.849961724929829,
|
920 |
+
"eval_f1": 0.8474312402698495,
|
921 |
+
"eval_loss": 0.47247427701950073,
|
922 |
+
"eval_precision": 0.8875,
|
923 |
+
"eval_recall": 0.810824230387289,
|
924 |
+
"eval_runtime": 16.0011,
|
925 |
+
"eval_samples_per_second": 244.92,
|
926 |
+
"eval_steps_per_second": 15.311,
|
927 |
+
"step": 5100
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 14.15,
|
931 |
+
"learning_rate": 7.554888544652305e-07,
|
932 |
+
"loss": 0.1042,
|
933 |
+
"step": 5200
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 14.15,
|
937 |
+
"eval_accuracy": 0.849706557795356,
|
938 |
+
"eval_f1": 0.8464946572843368,
|
939 |
+
"eval_loss": 0.47878143191337585,
|
940 |
+
"eval_precision": 0.8908392759188152,
|
941 |
+
"eval_recall": 0.8063555114200596,
|
942 |
+
"eval_runtime": 15.3441,
|
943 |
+
"eval_samples_per_second": 255.408,
|
944 |
+
"eval_steps_per_second": 15.967,
|
945 |
+
"step": 5200
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 14.42,
|
949 |
+
"learning_rate": 3.4177275687476974e-07,
|
950 |
+
"loss": 0.107,
|
951 |
+
"step": 5300
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 14.42,
|
955 |
+
"eval_accuracy": 0.849706557795356,
|
956 |
+
"eval_f1": 0.8466545170528509,
|
957 |
+
"eval_loss": 0.4759483337402344,
|
958 |
+
"eval_precision": 0.8899835796387521,
|
959 |
+
"eval_recall": 0.8073485600794439,
|
960 |
+
"eval_runtime": 15.151,
|
961 |
+
"eval_samples_per_second": 258.663,
|
962 |
+
"eval_steps_per_second": 16.171,
|
963 |
+
"step": 5300
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 14.69,
|
967 |
+
"learning_rate": 8.973745623699903e-08,
|
968 |
+
"loss": 0.1047,
|
969 |
+
"step": 5400
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 14.69,
|
973 |
+
"eval_accuracy": 0.8489410563919367,
|
974 |
+
"eval_f1": 0.8458333333333334,
|
975 |
+
"eval_loss": 0.4766782820224762,
|
976 |
+
"eval_precision": 0.8893756845564075,
|
977 |
+
"eval_recall": 0.8063555114200596,
|
978 |
+
"eval_runtime": 15.3016,
|
979 |
+
"eval_samples_per_second": 256.118,
|
980 |
+
"eval_steps_per_second": 16.011,
|
981 |
+
"step": 5400
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 14.97,
|
985 |
+
"learning_rate": 2.0354705417280351e-10,
|
986 |
+
"loss": 0.1085,
|
987 |
+
"step": 5500
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 14.97,
|
991 |
+
"eval_accuracy": 0.8489410563919367,
|
992 |
+
"eval_f1": 0.8458333333333334,
|
993 |
+
"eval_loss": 0.47687891125679016,
|
994 |
+
"eval_precision": 0.8893756845564075,
|
995 |
+
"eval_recall": 0.8063555114200596,
|
996 |
+
"eval_runtime": 15.647,
|
997 |
+
"eval_samples_per_second": 250.463,
|
998 |
+
"eval_steps_per_second": 15.658,
|
999 |
+
"step": 5500
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 14.98,
|
1003 |
+
"step": 5505,
|
1004 |
+
"total_flos": 2.046979800964418e+20,
|
1005 |
+
"train_loss": 0.2219778089443193,
|
1006 |
+
"train_runtime": 55065.7639,
|
1007 |
+
"train_samples_per_second": 9.607,
|
1008 |
+
"train_steps_per_second": 0.1
|
1009 |
+
}
|
1010 |
+
],
|
1011 |
+
"logging_steps": 100,
|
1012 |
+
"max_steps": 5505,
|
1013 |
+
"num_input_tokens_seen": 0,
|
1014 |
+
"num_train_epochs": 15,
|
1015 |
+
"save_steps": 100,
|
1016 |
+
"total_flos": 2.046979800964418e+20,
|
1017 |
+
"train_batch_size": 16,
|
1018 |
+
"trial_name": null,
|
1019 |
+
"trial_params": null
|
1020 |
+
}
|