End of training
Browse files- README.md +2 -0
- all_results.json +25 -0
- eval_results.json +12 -0
- predict_results.json +10 -0
- predictions.txt +0 -0
- runs/May24_22-15-25_indolem-petl-vm/events.out.tfevents.1716590174.indolem-petl-vm.1755398.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +410 -0
README.md
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: mit
|
3 |
base_model: indolem/indobert-base-uncased
|
4 |
tags:
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- id
|
4 |
license: mit
|
5 |
base_model: indolem/indobert-base-uncased
|
6 |
tags:
|
all_results.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.9573188909867832,
|
4 |
+
"eval_f1": 0.7943148297130599,
|
5 |
+
"eval_loss": 0.13019020855426788,
|
6 |
+
"eval_precision": 0.7375498007968128,
|
7 |
+
"eval_recall": 0.8605461940732132,
|
8 |
+
"eval_runtime": 4.4707,
|
9 |
+
"eval_samples": 935,
|
10 |
+
"eval_samples_per_second": 209.139,
|
11 |
+
"eval_steps_per_second": 3.355,
|
12 |
+
"predict_accuracy": 0.9678094942600062,
|
13 |
+
"predict_f1": 0.8218905472636817,
|
14 |
+
"predict_loss": 0.096980020403862,
|
15 |
+
"predict_precision": 0.7755059461715001,
|
16 |
+
"predict_recall": 0.8741768579492004,
|
17 |
+
"predict_runtime": 10.5306,
|
18 |
+
"predict_samples_per_second": 222.494,
|
19 |
+
"predict_steps_per_second": 3.514,
|
20 |
+
"train_loss": 0.17230618686387034,
|
21 |
+
"train_runtime": 1232.2084,
|
22 |
+
"train_samples": 8437,
|
23 |
+
"train_samples_per_second": 136.941,
|
24 |
+
"train_steps_per_second": 8.57
|
25 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_accuracy": 0.9573188909867832,
|
4 |
+
"eval_f1": 0.7943148297130599,
|
5 |
+
"eval_loss": 0.13019020855426788,
|
6 |
+
"eval_precision": 0.7375498007968128,
|
7 |
+
"eval_recall": 0.8605461940732132,
|
8 |
+
"eval_runtime": 4.4707,
|
9 |
+
"eval_samples": 935,
|
10 |
+
"eval_samples_per_second": 209.139,
|
11 |
+
"eval_steps_per_second": 3.355
|
12 |
+
}
|
predict_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"predict_accuracy": 0.9678094942600062,
|
3 |
+
"predict_f1": 0.8218905472636817,
|
4 |
+
"predict_loss": 0.096980020403862,
|
5 |
+
"predict_precision": 0.7755059461715001,
|
6 |
+
"predict_recall": 0.8741768579492004,
|
7 |
+
"predict_runtime": 10.5306,
|
8 |
+
"predict_samples_per_second": 222.494,
|
9 |
+
"predict_steps_per_second": 3.514
|
10 |
+
}
|
predictions.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
runs/May24_22-15-25_indolem-petl-vm/events.out.tfevents.1716590174.indolem-petl-vm.1755398.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9e6b5985cb3e4ef0c1b02c9d2de7eead20b7fe053263525e6950bec2e8ae0a2
|
3 |
+
size 560
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"train_loss": 0.17230618686387034,
|
4 |
+
"train_runtime": 1232.2084,
|
5 |
+
"train_samples": 8437,
|
6 |
+
"train_samples_per_second": 136.941,
|
7 |
+
"train_steps_per_second": 8.57
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,410 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 20.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 10560,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"grad_norm": 1.2754160165786743,
|
14 |
+
"learning_rate": 4.75e-05,
|
15 |
+
"loss": 0.7665,
|
16 |
+
"step": 528
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.8710623074629832,
|
21 |
+
"eval_f1": 0.1887287024901704,
|
22 |
+
"eval_loss": 0.42895129323005676,
|
23 |
+
"eval_precision": 0.38028169014084506,
|
24 |
+
"eval_recall": 0.12550842533410808,
|
25 |
+
"eval_runtime": 4.4537,
|
26 |
+
"eval_samples_per_second": 209.94,
|
27 |
+
"eval_steps_per_second": 3.368,
|
28 |
+
"step": 528
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 2.0,
|
32 |
+
"grad_norm": 0.9667028784751892,
|
33 |
+
"learning_rate": 4.5e-05,
|
34 |
+
"loss": 0.336,
|
35 |
+
"step": 1056
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 2.0,
|
39 |
+
"eval_accuracy": 0.9335188313624168,
|
40 |
+
"eval_f1": 0.6881609491875161,
|
41 |
+
"eval_loss": 0.21774514019489288,
|
42 |
+
"eval_precision": 0.6187384044526901,
|
43 |
+
"eval_recall": 0.7751307379430563,
|
44 |
+
"eval_runtime": 4.576,
|
45 |
+
"eval_samples_per_second": 204.325,
|
46 |
+
"eval_steps_per_second": 3.278,
|
47 |
+
"step": 1056
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 3.0,
|
51 |
+
"grad_norm": 1.0499272346496582,
|
52 |
+
"learning_rate": 4.25e-05,
|
53 |
+
"loss": 0.2067,
|
54 |
+
"step": 1584
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 3.0,
|
58 |
+
"eval_accuracy": 0.9410215641458809,
|
59 |
+
"eval_f1": 0.7261015202267457,
|
60 |
+
"eval_loss": 0.17432348430156708,
|
61 |
+
"eval_precision": 0.6523148148148148,
|
62 |
+
"eval_recall": 0.8187100522951772,
|
63 |
+
"eval_runtime": 4.5415,
|
64 |
+
"eval_samples_per_second": 205.881,
|
65 |
+
"eval_steps_per_second": 3.303,
|
66 |
+
"step": 1584
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 4.0,
|
70 |
+
"grad_norm": 1.841440200805664,
|
71 |
+
"learning_rate": 4e-05,
|
72 |
+
"loss": 0.1734,
|
73 |
+
"step": 2112
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 4.0,
|
77 |
+
"eval_accuracy": 0.9499652191195469,
|
78 |
+
"eval_f1": 0.7669569807337029,
|
79 |
+
"eval_loss": 0.15249943733215332,
|
80 |
+
"eval_precision": 0.7026112185686654,
|
81 |
+
"eval_recall": 0.8442765833817548,
|
82 |
+
"eval_runtime": 4.5362,
|
83 |
+
"eval_samples_per_second": 206.121,
|
84 |
+
"eval_steps_per_second": 3.307,
|
85 |
+
"step": 2112
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 5.0,
|
89 |
+
"grad_norm": 1.0053447484970093,
|
90 |
+
"learning_rate": 3.7500000000000003e-05,
|
91 |
+
"loss": 0.1557,
|
92 |
+
"step": 2640
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 5.0,
|
96 |
+
"eval_accuracy": 0.9523501937791911,
|
97 |
+
"eval_f1": 0.7757479481069631,
|
98 |
+
"eval_loss": 0.14416351914405823,
|
99 |
+
"eval_precision": 0.7125486381322957,
|
100 |
+
"eval_recall": 0.8512492736780941,
|
101 |
+
"eval_runtime": 4.4753,
|
102 |
+
"eval_samples_per_second": 208.924,
|
103 |
+
"eval_steps_per_second": 3.352,
|
104 |
+
"step": 2640
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 6.0,
|
108 |
+
"grad_norm": 1.2348506450653076,
|
109 |
+
"learning_rate": 3.5e-05,
|
110 |
+
"loss": 0.146,
|
111 |
+
"step": 3168
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 6.0,
|
115 |
+
"eval_accuracy": 0.9519526980025838,
|
116 |
+
"eval_f1": 0.7780979827089337,
|
117 |
+
"eval_loss": 0.14452077448368073,
|
118 |
+
"eval_precision": 0.7084923664122137,
|
119 |
+
"eval_recall": 0.862870424171993,
|
120 |
+
"eval_runtime": 4.5269,
|
121 |
+
"eval_samples_per_second": 206.545,
|
122 |
+
"eval_steps_per_second": 3.314,
|
123 |
+
"step": 3168
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 7.0,
|
127 |
+
"grad_norm": 2.4902212619781494,
|
128 |
+
"learning_rate": 3.2500000000000004e-05,
|
129 |
+
"loss": 0.1397,
|
130 |
+
"step": 3696
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 7.0,
|
134 |
+
"eval_accuracy": 0.9525489416674948,
|
135 |
+
"eval_f1": 0.7873728150273936,
|
136 |
+
"eval_loss": 0.14437128603458405,
|
137 |
+
"eval_precision": 0.7144886363636364,
|
138 |
+
"eval_recall": 0.8768158047646717,
|
139 |
+
"eval_runtime": 4.4995,
|
140 |
+
"eval_samples_per_second": 207.8,
|
141 |
+
"eval_steps_per_second": 3.334,
|
142 |
+
"step": 3696
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 8.0,
|
146 |
+
"grad_norm": 0.4951108992099762,
|
147 |
+
"learning_rate": 3e-05,
|
148 |
+
"loss": 0.1338,
|
149 |
+
"step": 4224
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 8.0,
|
153 |
+
"eval_accuracy": 0.9545364205505317,
|
154 |
+
"eval_f1": 0.7905745300503045,
|
155 |
+
"eval_loss": 0.1385926455259323,
|
156 |
+
"eval_precision": 0.7261673151750972,
|
157 |
+
"eval_recall": 0.8675188843695526,
|
158 |
+
"eval_runtime": 4.5384,
|
159 |
+
"eval_samples_per_second": 206.018,
|
160 |
+
"eval_steps_per_second": 3.305,
|
161 |
+
"step": 4224
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 9.0,
|
165 |
+
"grad_norm": 1.3395795822143555,
|
166 |
+
"learning_rate": 2.7500000000000004e-05,
|
167 |
+
"loss": 0.1277,
|
168 |
+
"step": 4752
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 9.0,
|
172 |
+
"eval_accuracy": 0.9561264036569611,
|
173 |
+
"eval_f1": 0.7964601769911505,
|
174 |
+
"eval_loss": 0.13648679852485657,
|
175 |
+
"eval_precision": 0.7395418326693227,
|
176 |
+
"eval_recall": 0.862870424171993,
|
177 |
+
"eval_runtime": 4.5184,
|
178 |
+
"eval_samples_per_second": 206.93,
|
179 |
+
"eval_steps_per_second": 3.32,
|
180 |
+
"step": 4752
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 10.0,
|
184 |
+
"grad_norm": 2.1327812671661377,
|
185 |
+
"learning_rate": 2.5e-05,
|
186 |
+
"loss": 0.1255,
|
187 |
+
"step": 5280
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 10.0,
|
191 |
+
"eval_accuracy": 0.9562754645731889,
|
192 |
+
"eval_f1": 0.7936932121859969,
|
193 |
+
"eval_loss": 0.1332310438156128,
|
194 |
+
"eval_precision": 0.7347847600197922,
|
195 |
+
"eval_recall": 0.862870424171993,
|
196 |
+
"eval_runtime": 4.4981,
|
197 |
+
"eval_samples_per_second": 207.864,
|
198 |
+
"eval_steps_per_second": 3.335,
|
199 |
+
"step": 5280
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 11.0,
|
203 |
+
"grad_norm": 11.329936027526855,
|
204 |
+
"learning_rate": 2.25e-05,
|
205 |
+
"loss": 0.1215,
|
206 |
+
"step": 5808
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 11.0,
|
210 |
+
"eval_accuracy": 0.9557289078803538,
|
211 |
+
"eval_f1": 0.7884564469155414,
|
212 |
+
"eval_loss": 0.1330229640007019,
|
213 |
+
"eval_precision": 0.7242217898832685,
|
214 |
+
"eval_recall": 0.8651946542707728,
|
215 |
+
"eval_runtime": 4.518,
|
216 |
+
"eval_samples_per_second": 206.949,
|
217 |
+
"eval_steps_per_second": 3.32,
|
218 |
+
"step": 5808
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 12.0,
|
222 |
+
"grad_norm": 1.500403642654419,
|
223 |
+
"learning_rate": 2e-05,
|
224 |
+
"loss": 0.1189,
|
225 |
+
"step": 6336
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 12.0,
|
229 |
+
"eval_accuracy": 0.9561264036569611,
|
230 |
+
"eval_f1": 0.794345158708989,
|
231 |
+
"eval_loss": 0.13398447632789612,
|
232 |
+
"eval_precision": 0.7342209072978304,
|
233 |
+
"eval_recall": 0.8651946542707728,
|
234 |
+
"eval_runtime": 4.5331,
|
235 |
+
"eval_samples_per_second": 206.26,
|
236 |
+
"eval_steps_per_second": 3.309,
|
237 |
+
"step": 6336
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 13.0,
|
241 |
+
"grad_norm": 1.2570128440856934,
|
242 |
+
"learning_rate": 1.75e-05,
|
243 |
+
"loss": 0.1179,
|
244 |
+
"step": 6864
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 13.0,
|
248 |
+
"eval_accuracy": 0.9571201430984796,
|
249 |
+
"eval_f1": 0.7973009446693656,
|
250 |
+
"eval_loss": 0.12948381900787354,
|
251 |
+
"eval_precision": 0.7444556451612904,
|
252 |
+
"eval_recall": 0.8582219639744335,
|
253 |
+
"eval_runtime": 4.4918,
|
254 |
+
"eval_samples_per_second": 208.158,
|
255 |
+
"eval_steps_per_second": 3.339,
|
256 |
+
"step": 6864
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 14.0,
|
260 |
+
"grad_norm": 0.9663475751876831,
|
261 |
+
"learning_rate": 1.5e-05,
|
262 |
+
"loss": 0.114,
|
263 |
+
"step": 7392
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 14.0,
|
267 |
+
"eval_accuracy": 0.9578654476796185,
|
268 |
+
"eval_f1": 0.8013955984970478,
|
269 |
+
"eval_loss": 0.1294805407524109,
|
270 |
+
"eval_precision": 0.7446384039900249,
|
271 |
+
"eval_recall": 0.8675188843695526,
|
272 |
+
"eval_runtime": 4.5251,
|
273 |
+
"eval_samples_per_second": 206.625,
|
274 |
+
"eval_steps_per_second": 3.315,
|
275 |
+
"step": 7392
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 15.0,
|
279 |
+
"grad_norm": 1.1781103610992432,
|
280 |
+
"learning_rate": 1.25e-05,
|
281 |
+
"loss": 0.1128,
|
282 |
+
"step": 7920
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 15.0,
|
286 |
+
"eval_accuracy": 0.9571201430984796,
|
287 |
+
"eval_f1": 0.7960438385458433,
|
288 |
+
"eval_loss": 0.13167551159858704,
|
289 |
+
"eval_precision": 0.7371287128712871,
|
290 |
+
"eval_recall": 0.8651946542707728,
|
291 |
+
"eval_runtime": 4.5381,
|
292 |
+
"eval_samples_per_second": 206.032,
|
293 |
+
"eval_steps_per_second": 3.305,
|
294 |
+
"step": 7920
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 16.0,
|
298 |
+
"grad_norm": 1.9357908964157104,
|
299 |
+
"learning_rate": 1e-05,
|
300 |
+
"loss": 0.1115,
|
301 |
+
"step": 8448
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 16.0,
|
305 |
+
"eval_accuracy": 0.957517638875087,
|
306 |
+
"eval_f1": 0.7973297730307075,
|
307 |
+
"eval_loss": 0.12998828291893005,
|
308 |
+
"eval_precision": 0.7376482213438735,
|
309 |
+
"eval_recall": 0.8675188843695526,
|
310 |
+
"eval_runtime": 4.5484,
|
311 |
+
"eval_samples_per_second": 205.566,
|
312 |
+
"eval_steps_per_second": 3.298,
|
313 |
+
"step": 8448
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 17.0,
|
317 |
+
"grad_norm": 1.123679280281067,
|
318 |
+
"learning_rate": 7.5e-06,
|
319 |
+
"loss": 0.1109,
|
320 |
+
"step": 8976
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 17.0,
|
324 |
+
"eval_accuracy": 0.9577163867633907,
|
325 |
+
"eval_f1": 0.7951935914552738,
|
326 |
+
"eval_loss": 0.13070179522037506,
|
327 |
+
"eval_precision": 0.7356719367588933,
|
328 |
+
"eval_recall": 0.8651946542707728,
|
329 |
+
"eval_runtime": 4.5117,
|
330 |
+
"eval_samples_per_second": 207.237,
|
331 |
+
"eval_steps_per_second": 3.325,
|
332 |
+
"step": 8976
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 18.0,
|
336 |
+
"grad_norm": 1.571700096130371,
|
337 |
+
"learning_rate": 5e-06,
|
338 |
+
"loss": 0.1097,
|
339 |
+
"step": 9504
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 18.0,
|
343 |
+
"eval_accuracy": 0.957517638875087,
|
344 |
+
"eval_f1": 0.7968959058067969,
|
345 |
+
"eval_loss": 0.1318700611591339,
|
346 |
+
"eval_precision": 0.7385912698412699,
|
347 |
+
"eval_recall": 0.8651946542707728,
|
348 |
+
"eval_runtime": 4.5223,
|
349 |
+
"eval_samples_per_second": 206.752,
|
350 |
+
"eval_steps_per_second": 3.317,
|
351 |
+
"step": 9504
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 19.0,
|
355 |
+
"grad_norm": 2.028625726699829,
|
356 |
+
"learning_rate": 2.5e-06,
|
357 |
+
"loss": 0.1086,
|
358 |
+
"step": 10032
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 19.0,
|
362 |
+
"eval_accuracy": 0.9573188909867832,
|
363 |
+
"eval_f1": 0.7943148297130599,
|
364 |
+
"eval_loss": 0.12963609397411346,
|
365 |
+
"eval_precision": 0.7375498007968128,
|
366 |
+
"eval_recall": 0.8605461940732132,
|
367 |
+
"eval_runtime": 4.9197,
|
368 |
+
"eval_samples_per_second": 190.052,
|
369 |
+
"eval_steps_per_second": 3.049,
|
370 |
+
"step": 10032
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 20.0,
|
374 |
+
"grad_norm": 1.7686336040496826,
|
375 |
+
"learning_rate": 0.0,
|
376 |
+
"loss": 0.1094,
|
377 |
+
"step": 10560
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 20.0,
|
381 |
+
"eval_accuracy": 0.9573188909867832,
|
382 |
+
"eval_f1": 0.7943148297130599,
|
383 |
+
"eval_loss": 0.13019020855426788,
|
384 |
+
"eval_precision": 0.7375498007968128,
|
385 |
+
"eval_recall": 0.8605461940732132,
|
386 |
+
"eval_runtime": 4.5659,
|
387 |
+
"eval_samples_per_second": 204.778,
|
388 |
+
"eval_steps_per_second": 3.285,
|
389 |
+
"step": 10560
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 20.0,
|
393 |
+
"step": 10560,
|
394 |
+
"total_flos": 4545096690358590.0,
|
395 |
+
"train_loss": 0.17230618686387034,
|
396 |
+
"train_runtime": 1232.2084,
|
397 |
+
"train_samples_per_second": 136.941,
|
398 |
+
"train_steps_per_second": 8.57
|
399 |
+
}
|
400 |
+
],
|
401 |
+
"logging_steps": 500,
|
402 |
+
"max_steps": 10560,
|
403 |
+
"num_input_tokens_seen": 0,
|
404 |
+
"num_train_epochs": 20,
|
405 |
+
"save_steps": 500,
|
406 |
+
"total_flos": 4545096690358590.0,
|
407 |
+
"train_batch_size": 16,
|
408 |
+
"trial_name": null,
|
409 |
+
"trial_params": null
|
410 |
+
}
|