End of training
Browse files- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +516 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 36.0,
|
3 |
+
"total_flos": 1.2659877490145034e+18,
|
4 |
+
"train_loss": 0.10912525819407569,
|
5 |
+
"train_runtime": 949.2365,
|
6 |
+
"train_samples_per_second": 21.523,
|
7 |
+
"train_steps_per_second": 0.095
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 36.0,
|
3 |
+
"total_flos": 1.2659877490145034e+18,
|
4 |
+
"train_loss": 0.10912525819407569,
|
5 |
+
"train_runtime": 949.2365,
|
6 |
+
"train_samples_per_second": 21.523,
|
7 |
+
"train_steps_per_second": 0.095
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,516 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8627450980392157,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224/checkpoint-47",
|
4 |
+
"epoch": 36.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 90,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.8,
|
13 |
+
"eval_accuracy": 0.5882352941176471,
|
14 |
+
"eval_f1_score": 0.554074074074074,
|
15 |
+
"eval_loss": 0.6992508172988892,
|
16 |
+
"eval_precision": 0.5390243902439025,
|
17 |
+
"eval_recall": 0.5882352941176471,
|
18 |
+
"eval_runtime": 0.8655,
|
19 |
+
"eval_samples_per_second": 58.922,
|
20 |
+
"eval_steps_per_second": 2.311,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 2.0,
|
25 |
+
"eval_accuracy": 0.6862745098039216,
|
26 |
+
"eval_f1_score": 0.6032520325203252,
|
27 |
+
"eval_loss": 0.5970537662506104,
|
28 |
+
"eval_precision": 0.6805555555555555,
|
29 |
+
"eval_recall": 0.6862745098039216,
|
30 |
+
"eval_runtime": 0.8959,
|
31 |
+
"eval_samples_per_second": 56.925,
|
32 |
+
"eval_steps_per_second": 2.232,
|
33 |
+
"step": 5
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 2.8,
|
37 |
+
"eval_accuracy": 0.803921568627451,
|
38 |
+
"eval_f1_score": 0.800595238095238,
|
39 |
+
"eval_loss": 0.5305531024932861,
|
40 |
+
"eval_precision": 0.7999999999999999,
|
41 |
+
"eval_recall": 0.803921568627451,
|
42 |
+
"eval_runtime": 0.9046,
|
43 |
+
"eval_samples_per_second": 56.379,
|
44 |
+
"eval_steps_per_second": 2.211,
|
45 |
+
"step": 7
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 4.0,
|
49 |
+
"eval_accuracy": 0.7254901960784313,
|
50 |
+
"eval_f1_score": 0.6858974358974359,
|
51 |
+
"eval_loss": 0.48283636569976807,
|
52 |
+
"eval_precision": 0.722943722943723,
|
53 |
+
"eval_recall": 0.7254901960784313,
|
54 |
+
"eval_runtime": 0.9029,
|
55 |
+
"eval_samples_per_second": 56.482,
|
56 |
+
"eval_steps_per_second": 2.215,
|
57 |
+
"step": 10
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.8,
|
61 |
+
"eval_accuracy": 0.7843137254901961,
|
62 |
+
"eval_f1_score": 0.7784340451310011,
|
63 |
+
"eval_loss": 0.3811856508255005,
|
64 |
+
"eval_precision": 0.7786357786357786,
|
65 |
+
"eval_recall": 0.7843137254901961,
|
66 |
+
"eval_runtime": 0.92,
|
67 |
+
"eval_samples_per_second": 55.436,
|
68 |
+
"eval_steps_per_second": 2.174,
|
69 |
+
"step": 12
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 6.0,
|
73 |
+
"grad_norm": 4.578022480010986,
|
74 |
+
"learning_rate": 4.62962962962963e-05,
|
75 |
+
"loss": 0.5413,
|
76 |
+
"step": 15
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 6.0,
|
80 |
+
"eval_accuracy": 0.7450980392156863,
|
81 |
+
"eval_f1_score": 0.7141125541125543,
|
82 |
+
"eval_loss": 0.5268120765686035,
|
83 |
+
"eval_precision": 0.7461240310077519,
|
84 |
+
"eval_recall": 0.7450980392156863,
|
85 |
+
"eval_runtime": 0.9096,
|
86 |
+
"eval_samples_per_second": 56.066,
|
87 |
+
"eval_steps_per_second": 2.199,
|
88 |
+
"step": 15
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 6.8,
|
92 |
+
"eval_accuracy": 0.7450980392156863,
|
93 |
+
"eval_f1_score": 0.7502256608639587,
|
94 |
+
"eval_loss": 0.5349109768867493,
|
95 |
+
"eval_precision": 0.8555555555555555,
|
96 |
+
"eval_recall": 0.7450980392156863,
|
97 |
+
"eval_runtime": 0.9137,
|
98 |
+
"eval_samples_per_second": 55.818,
|
99 |
+
"eval_steps_per_second": 2.189,
|
100 |
+
"step": 17
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 8.0,
|
104 |
+
"eval_accuracy": 0.803921568627451,
|
105 |
+
"eval_f1_score": 0.7756410256410257,
|
106 |
+
"eval_loss": 0.4119790494441986,
|
107 |
+
"eval_precision": 0.8484848484848485,
|
108 |
+
"eval_recall": 0.803921568627451,
|
109 |
+
"eval_runtime": 0.9237,
|
110 |
+
"eval_samples_per_second": 55.215,
|
111 |
+
"eval_steps_per_second": 2.165,
|
112 |
+
"step": 20
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 8.8,
|
116 |
+
"eval_accuracy": 0.803921568627451,
|
117 |
+
"eval_f1_score": 0.7962962962962962,
|
118 |
+
"eval_loss": 0.3156317472457886,
|
119 |
+
"eval_precision": 0.8002699055330634,
|
120 |
+
"eval_recall": 0.803921568627451,
|
121 |
+
"eval_runtime": 0.9335,
|
122 |
+
"eval_samples_per_second": 54.63,
|
123 |
+
"eval_steps_per_second": 2.142,
|
124 |
+
"step": 22
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 10.0,
|
128 |
+
"eval_accuracy": 0.803921568627451,
|
129 |
+
"eval_f1_score": 0.7908622908622909,
|
130 |
+
"eval_loss": 0.3216821253299713,
|
131 |
+
"eval_precision": 0.806060606060606,
|
132 |
+
"eval_recall": 0.803921568627451,
|
133 |
+
"eval_runtime": 0.9256,
|
134 |
+
"eval_samples_per_second": 55.1,
|
135 |
+
"eval_steps_per_second": 2.161,
|
136 |
+
"step": 25
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 10.8,
|
140 |
+
"eval_accuracy": 0.7843137254901961,
|
141 |
+
"eval_f1_score": 0.7664197530864199,
|
142 |
+
"eval_loss": 0.5160595774650574,
|
143 |
+
"eval_precision": 0.7869918699186993,
|
144 |
+
"eval_recall": 0.7843137254901961,
|
145 |
+
"eval_runtime": 0.9267,
|
146 |
+
"eval_samples_per_second": 55.031,
|
147 |
+
"eval_steps_per_second": 2.158,
|
148 |
+
"step": 27
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 12.0,
|
152 |
+
"grad_norm": 3.5482540130615234,
|
153 |
+
"learning_rate": 3.7037037037037037e-05,
|
154 |
+
"loss": 0.0919,
|
155 |
+
"step": 30
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 12.0,
|
159 |
+
"eval_accuracy": 0.8431372549019608,
|
160 |
+
"eval_f1_score": 0.845117845117845,
|
161 |
+
"eval_loss": 0.36771491169929504,
|
162 |
+
"eval_precision": 0.849780701754386,
|
163 |
+
"eval_recall": 0.8431372549019608,
|
164 |
+
"eval_runtime": 0.942,
|
165 |
+
"eval_samples_per_second": 54.142,
|
166 |
+
"eval_steps_per_second": 2.123,
|
167 |
+
"step": 30
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 12.8,
|
171 |
+
"eval_accuracy": 0.8431372549019608,
|
172 |
+
"eval_f1_score": 0.8404761904761906,
|
173 |
+
"eval_loss": 0.46310773491859436,
|
174 |
+
"eval_precision": 0.8407407407407408,
|
175 |
+
"eval_recall": 0.8431372549019608,
|
176 |
+
"eval_runtime": 0.9403,
|
177 |
+
"eval_samples_per_second": 54.24,
|
178 |
+
"eval_steps_per_second": 2.127,
|
179 |
+
"step": 32
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 14.0,
|
183 |
+
"eval_accuracy": 0.8235294117647058,
|
184 |
+
"eval_f1_score": 0.8221343873517787,
|
185 |
+
"eval_loss": 0.5000560879707336,
|
186 |
+
"eval_precision": 0.8214285714285714,
|
187 |
+
"eval_recall": 0.8235294117647058,
|
188 |
+
"eval_runtime": 0.9615,
|
189 |
+
"eval_samples_per_second": 53.039,
|
190 |
+
"eval_steps_per_second": 2.08,
|
191 |
+
"step": 35
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 14.8,
|
195 |
+
"eval_accuracy": 0.8431372549019608,
|
196 |
+
"eval_f1_score": 0.8431372549019608,
|
197 |
+
"eval_loss": 0.4489041268825531,
|
198 |
+
"eval_precision": 0.8431372549019608,
|
199 |
+
"eval_recall": 0.8431372549019608,
|
200 |
+
"eval_runtime": 0.9337,
|
201 |
+
"eval_samples_per_second": 54.621,
|
202 |
+
"eval_steps_per_second": 2.142,
|
203 |
+
"step": 37
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 16.0,
|
207 |
+
"eval_accuracy": 0.7843137254901961,
|
208 |
+
"eval_f1_score": 0.7731065973862385,
|
209 |
+
"eval_loss": 0.5892294049263,
|
210 |
+
"eval_precision": 0.7799145299145298,
|
211 |
+
"eval_recall": 0.7843137254901961,
|
212 |
+
"eval_runtime": 1.0872,
|
213 |
+
"eval_samples_per_second": 46.909,
|
214 |
+
"eval_steps_per_second": 1.84,
|
215 |
+
"step": 40
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 16.8,
|
219 |
+
"eval_accuracy": 0.7843137254901961,
|
220 |
+
"eval_f1_score": 0.7731065973862385,
|
221 |
+
"eval_loss": 0.6578794717788696,
|
222 |
+
"eval_precision": 0.7799145299145298,
|
223 |
+
"eval_recall": 0.7843137254901961,
|
224 |
+
"eval_runtime": 0.9215,
|
225 |
+
"eval_samples_per_second": 55.345,
|
226 |
+
"eval_steps_per_second": 2.17,
|
227 |
+
"step": 42
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 18.0,
|
231 |
+
"grad_norm": 3.25277042388916,
|
232 |
+
"learning_rate": 2.777777777777778e-05,
|
233 |
+
"loss": 0.006,
|
234 |
+
"step": 45
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 18.0,
|
238 |
+
"eval_accuracy": 0.7843137254901961,
|
239 |
+
"eval_f1_score": 0.7731065973862385,
|
240 |
+
"eval_loss": 0.703818678855896,
|
241 |
+
"eval_precision": 0.7799145299145298,
|
242 |
+
"eval_recall": 0.7843137254901961,
|
243 |
+
"eval_runtime": 1.0077,
|
244 |
+
"eval_samples_per_second": 50.61,
|
245 |
+
"eval_steps_per_second": 1.985,
|
246 |
+
"step": 45
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 18.8,
|
250 |
+
"eval_accuracy": 0.8627450980392157,
|
251 |
+
"eval_f1_score": 0.865142065142065,
|
252 |
+
"eval_loss": 0.5864243507385254,
|
253 |
+
"eval_precision": 0.8736559139784946,
|
254 |
+
"eval_recall": 0.8627450980392157,
|
255 |
+
"eval_runtime": 0.9259,
|
256 |
+
"eval_samples_per_second": 55.08,
|
257 |
+
"eval_steps_per_second": 2.16,
|
258 |
+
"step": 47
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 20.0,
|
262 |
+
"eval_accuracy": 0.8627450980392157,
|
263 |
+
"eval_f1_score": 0.865142065142065,
|
264 |
+
"eval_loss": 0.5488199591636658,
|
265 |
+
"eval_precision": 0.8736559139784946,
|
266 |
+
"eval_recall": 0.8627450980392157,
|
267 |
+
"eval_runtime": 0.9318,
|
268 |
+
"eval_samples_per_second": 54.735,
|
269 |
+
"eval_steps_per_second": 2.146,
|
270 |
+
"step": 50
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 20.8,
|
274 |
+
"eval_accuracy": 0.803921568627451,
|
275 |
+
"eval_f1_score": 0.7962962962962962,
|
276 |
+
"eval_loss": 0.6650967597961426,
|
277 |
+
"eval_precision": 0.8002699055330634,
|
278 |
+
"eval_recall": 0.803921568627451,
|
279 |
+
"eval_runtime": 0.9328,
|
280 |
+
"eval_samples_per_second": 54.677,
|
281 |
+
"eval_steps_per_second": 2.144,
|
282 |
+
"step": 52
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 22.0,
|
286 |
+
"eval_accuracy": 0.803921568627451,
|
287 |
+
"eval_f1_score": 0.800595238095238,
|
288 |
+
"eval_loss": 0.6264931559562683,
|
289 |
+
"eval_precision": 0.7999999999999999,
|
290 |
+
"eval_recall": 0.803921568627451,
|
291 |
+
"eval_runtime": 0.9317,
|
292 |
+
"eval_samples_per_second": 54.741,
|
293 |
+
"eval_steps_per_second": 2.147,
|
294 |
+
"step": 55
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 22.8,
|
298 |
+
"eval_accuracy": 0.8627450980392157,
|
299 |
+
"eval_f1_score": 0.8636815920398009,
|
300 |
+
"eval_loss": 0.5228903889656067,
|
301 |
+
"eval_precision": 0.8653198653198653,
|
302 |
+
"eval_recall": 0.8627450980392157,
|
303 |
+
"eval_runtime": 0.9295,
|
304 |
+
"eval_samples_per_second": 54.868,
|
305 |
+
"eval_steps_per_second": 2.152,
|
306 |
+
"step": 57
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 24.0,
|
310 |
+
"grad_norm": 0.0452270582318306,
|
311 |
+
"learning_rate": 1.8518518518518518e-05,
|
312 |
+
"loss": 0.0048,
|
313 |
+
"step": 60
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 24.0,
|
317 |
+
"eval_accuracy": 0.8627450980392157,
|
318 |
+
"eval_f1_score": 0.8636815920398009,
|
319 |
+
"eval_loss": 0.542142927646637,
|
320 |
+
"eval_precision": 0.8653198653198653,
|
321 |
+
"eval_recall": 0.8627450980392157,
|
322 |
+
"eval_runtime": 0.9409,
|
323 |
+
"eval_samples_per_second": 54.206,
|
324 |
+
"eval_steps_per_second": 2.126,
|
325 |
+
"step": 60
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 24.8,
|
329 |
+
"eval_accuracy": 0.8235294117647058,
|
330 |
+
"eval_f1_score": 0.8187187641980918,
|
331 |
+
"eval_loss": 0.6334545016288757,
|
332 |
+
"eval_precision": 0.8204633204633205,
|
333 |
+
"eval_recall": 0.8235294117647058,
|
334 |
+
"eval_runtime": 0.9368,
|
335 |
+
"eval_samples_per_second": 54.438,
|
336 |
+
"eval_steps_per_second": 2.135,
|
337 |
+
"step": 62
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 26.0,
|
341 |
+
"eval_accuracy": 0.803921568627451,
|
342 |
+
"eval_f1_score": 0.7840755735492576,
|
343 |
+
"eval_loss": 1.0379055738449097,
|
344 |
+
"eval_precision": 0.82010582010582,
|
345 |
+
"eval_recall": 0.803921568627451,
|
346 |
+
"eval_runtime": 0.927,
|
347 |
+
"eval_samples_per_second": 55.015,
|
348 |
+
"eval_steps_per_second": 2.157,
|
349 |
+
"step": 65
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 26.8,
|
353 |
+
"eval_accuracy": 0.8235294117647058,
|
354 |
+
"eval_f1_score": 0.808888888888889,
|
355 |
+
"eval_loss": 0.9758451581001282,
|
356 |
+
"eval_precision": 0.8365853658536586,
|
357 |
+
"eval_recall": 0.8235294117647058,
|
358 |
+
"eval_runtime": 0.927,
|
359 |
+
"eval_samples_per_second": 55.017,
|
360 |
+
"eval_steps_per_second": 2.158,
|
361 |
+
"step": 67
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 28.0,
|
365 |
+
"eval_accuracy": 0.8235294117647058,
|
366 |
+
"eval_f1_score": 0.8187187641980918,
|
367 |
+
"eval_loss": 0.6116669774055481,
|
368 |
+
"eval_precision": 0.8204633204633205,
|
369 |
+
"eval_recall": 0.8235294117647058,
|
370 |
+
"eval_runtime": 0.9261,
|
371 |
+
"eval_samples_per_second": 55.07,
|
372 |
+
"eval_steps_per_second": 2.16,
|
373 |
+
"step": 70
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 28.8,
|
377 |
+
"eval_accuracy": 0.8627450980392157,
|
378 |
+
"eval_f1_score": 0.8616600790513834,
|
379 |
+
"eval_loss": 0.540273904800415,
|
380 |
+
"eval_precision": 0.8613095238095237,
|
381 |
+
"eval_recall": 0.8627450980392157,
|
382 |
+
"eval_runtime": 0.9247,
|
383 |
+
"eval_samples_per_second": 55.15,
|
384 |
+
"eval_steps_per_second": 2.163,
|
385 |
+
"step": 72
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 30.0,
|
389 |
+
"grad_norm": 0.026938632130622864,
|
390 |
+
"learning_rate": 9.259259259259259e-06,
|
391 |
+
"loss": 0.0063,
|
392 |
+
"step": 75
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 30.0,
|
396 |
+
"eval_accuracy": 0.8431372549019608,
|
397 |
+
"eval_f1_score": 0.8404761904761906,
|
398 |
+
"eval_loss": 0.6468568444252014,
|
399 |
+
"eval_precision": 0.8407407407407408,
|
400 |
+
"eval_recall": 0.8431372549019608,
|
401 |
+
"eval_runtime": 0.9235,
|
402 |
+
"eval_samples_per_second": 55.223,
|
403 |
+
"eval_steps_per_second": 2.166,
|
404 |
+
"step": 75
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 30.8,
|
408 |
+
"eval_accuracy": 0.8235294117647058,
|
409 |
+
"eval_f1_score": 0.8187187641980918,
|
410 |
+
"eval_loss": 0.7013790607452393,
|
411 |
+
"eval_precision": 0.8204633204633205,
|
412 |
+
"eval_recall": 0.8235294117647058,
|
413 |
+
"eval_runtime": 1.1388,
|
414 |
+
"eval_samples_per_second": 44.785,
|
415 |
+
"eval_steps_per_second": 1.756,
|
416 |
+
"step": 77
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 32.0,
|
420 |
+
"eval_accuracy": 0.8235294117647058,
|
421 |
+
"eval_f1_score": 0.8187187641980918,
|
422 |
+
"eval_loss": 0.7514360547065735,
|
423 |
+
"eval_precision": 0.8204633204633205,
|
424 |
+
"eval_recall": 0.8235294117647058,
|
425 |
+
"eval_runtime": 0.9424,
|
426 |
+
"eval_samples_per_second": 54.118,
|
427 |
+
"eval_steps_per_second": 2.122,
|
428 |
+
"step": 80
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 32.8,
|
432 |
+
"eval_accuracy": 0.8235294117647058,
|
433 |
+
"eval_f1_score": 0.8143599433160132,
|
434 |
+
"eval_loss": 0.7771488428115845,
|
435 |
+
"eval_precision": 0.8247863247863249,
|
436 |
+
"eval_recall": 0.8235294117647058,
|
437 |
+
"eval_runtime": 0.9338,
|
438 |
+
"eval_samples_per_second": 54.616,
|
439 |
+
"eval_steps_per_second": 2.142,
|
440 |
+
"step": 82
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 34.0,
|
444 |
+
"eval_accuracy": 0.803921568627451,
|
445 |
+
"eval_f1_score": 0.7962962962962962,
|
446 |
+
"eval_loss": 0.7598747611045837,
|
447 |
+
"eval_precision": 0.8002699055330634,
|
448 |
+
"eval_recall": 0.803921568627451,
|
449 |
+
"eval_runtime": 0.9331,
|
450 |
+
"eval_samples_per_second": 54.655,
|
451 |
+
"eval_steps_per_second": 2.143,
|
452 |
+
"step": 85
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 34.8,
|
456 |
+
"eval_accuracy": 0.803921568627451,
|
457 |
+
"eval_f1_score": 0.7962962962962962,
|
458 |
+
"eval_loss": 0.7554459571838379,
|
459 |
+
"eval_precision": 0.8002699055330634,
|
460 |
+
"eval_recall": 0.803921568627451,
|
461 |
+
"eval_runtime": 0.9307,
|
462 |
+
"eval_samples_per_second": 54.796,
|
463 |
+
"eval_steps_per_second": 2.149,
|
464 |
+
"step": 87
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 36.0,
|
468 |
+
"grad_norm": 0.014645076356828213,
|
469 |
+
"learning_rate": 0.0,
|
470 |
+
"loss": 0.0045,
|
471 |
+
"step": 90
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 36.0,
|
475 |
+
"eval_accuracy": 0.803921568627451,
|
476 |
+
"eval_f1_score": 0.7962962962962962,
|
477 |
+
"eval_loss": 0.7308478951454163,
|
478 |
+
"eval_precision": 0.8002699055330634,
|
479 |
+
"eval_recall": 0.803921568627451,
|
480 |
+
"eval_runtime": 0.9231,
|
481 |
+
"eval_samples_per_second": 55.246,
|
482 |
+
"eval_steps_per_second": 2.167,
|
483 |
+
"step": 90
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 36.0,
|
487 |
+
"step": 90,
|
488 |
+
"total_flos": 1.2659877490145034e+18,
|
489 |
+
"train_loss": 0.10912525819407569,
|
490 |
+
"train_runtime": 949.2365,
|
491 |
+
"train_samples_per_second": 21.523,
|
492 |
+
"train_steps_per_second": 0.095
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 36.0,
|
496 |
+
"eval_accuracy": 0.8267716535433071,
|
497 |
+
"eval_f1_score": 0.8283048858023182,
|
498 |
+
"eval_loss": 0.8527529239654541,
|
499 |
+
"eval_precision": 0.8302904444636728,
|
500 |
+
"eval_recall": 0.8267716535433071,
|
501 |
+
"eval_runtime": 2.5545,
|
502 |
+
"eval_samples_per_second": 49.716,
|
503 |
+
"eval_steps_per_second": 1.174,
|
504 |
+
"step": 90
|
505 |
+
}
|
506 |
+
],
|
507 |
+
"logging_steps": 15,
|
508 |
+
"max_steps": 90,
|
509 |
+
"num_input_tokens_seen": 0,
|
510 |
+
"num_train_epochs": 45,
|
511 |
+
"save_steps": 500,
|
512 |
+
"total_flos": 1.2659877490145034e+18,
|
513 |
+
"train_batch_size": 48,
|
514 |
+
"trial_name": null,
|
515 |
+
"trial_params": null
|
516 |
+
}
|