Alireza1044
commited on
Commit
•
12eda73
1
Parent(s):
e921504
End of training
Browse files- all_results.json +16 -0
- eval_results.json +11 -0
- runs/Jun14_12-22-13_labgpu/events.out.tfevents.1655218507.labgpu.15532.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +193 -0
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.5,
|
3 |
+
"eval_accuracy": 0.8988869651249073,
|
4 |
+
"eval_combined_score": 0.8829459876050719,
|
5 |
+
"eval_f1": 0.8670050100852366,
|
6 |
+
"eval_loss": 0.24575121700763702,
|
7 |
+
"eval_runtime": 221.9991,
|
8 |
+
"eval_samples": 40430,
|
9 |
+
"eval_samples_per_second": 182.118,
|
10 |
+
"eval_steps_per_second": 22.766,
|
11 |
+
"train_loss": 1386.6627225032541,
|
12 |
+
"train_runtime": 8097.4527,
|
13 |
+
"train_samples": 363846,
|
14 |
+
"train_samples_per_second": 112.333,
|
15 |
+
"train_steps_per_second": 1.755
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.5,
|
3 |
+
"eval_accuracy": 0.8988869651249073,
|
4 |
+
"eval_combined_score": 0.8829459876050719,
|
5 |
+
"eval_f1": 0.8670050100852366,
|
6 |
+
"eval_loss": 0.24575121700763702,
|
7 |
+
"eval_runtime": 221.9991,
|
8 |
+
"eval_samples": 40430,
|
9 |
+
"eval_samples_per_second": 182.118,
|
10 |
+
"eval_steps_per_second": 22.766
|
11 |
+
}
|
runs/Jun14_12-22-13_labgpu/events.out.tfevents.1655218507.labgpu.15532.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73524705d05d452b3550b909b123997f6b11a71036694e3399eb38cf091d0423
|
3 |
+
size 467
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.5,
|
3 |
+
"train_loss": 1386.6627225032541,
|
4 |
+
"train_runtime": 8097.4527,
|
5 |
+
"train_samples": 363846,
|
6 |
+
"train_samples_per_second": 112.333,
|
7 |
+
"train_steps_per_second": 1.755
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,193 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.5,
|
5 |
+
"global_step": 14215,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.09,
|
12 |
+
"learning_rate": 4.8241294407316215e-05,
|
13 |
+
"loss": 39415.716,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.18,
|
18 |
+
"learning_rate": 4.6482588814632434e-05,
|
19 |
+
"loss": 0.3762,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.26,
|
24 |
+
"learning_rate": 4.472388322194865e-05,
|
25 |
+
"loss": 0.4107,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.35,
|
30 |
+
"learning_rate": 4.2965177629264866e-05,
|
31 |
+
"loss": 0.3225,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.44,
|
36 |
+
"learning_rate": 4.120647203658108e-05,
|
37 |
+
"loss": 0.3177,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.53,
|
42 |
+
"learning_rate": 3.944776644389729e-05,
|
43 |
+
"loss": 0.2994,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.62,
|
48 |
+
"learning_rate": 3.768906085121351e-05,
|
49 |
+
"loss": 0.3909,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.7,
|
54 |
+
"learning_rate": 3.5930355258529723e-05,
|
55 |
+
"loss": 0.2921,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.79,
|
60 |
+
"learning_rate": 3.417164966584594e-05,
|
61 |
+
"loss": 0.279,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.88,
|
66 |
+
"learning_rate": 3.2412944073162155e-05,
|
67 |
+
"loss": 0.2796,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.97,
|
72 |
+
"learning_rate": 3.065423848047837e-05,
|
73 |
+
"loss": 0.2694,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.06,
|
78 |
+
"learning_rate": 2.8895532887794584e-05,
|
79 |
+
"loss": 0.2447,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.14,
|
84 |
+
"learning_rate": 2.71368272951108e-05,
|
85 |
+
"loss": 0.234,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.23,
|
90 |
+
"learning_rate": 2.5378121702427016e-05,
|
91 |
+
"loss": 0.2273,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 1.32,
|
96 |
+
"learning_rate": 2.3619416109743232e-05,
|
97 |
+
"loss": 0.2558,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.41,
|
102 |
+
"learning_rate": 2.1860710517059448e-05,
|
103 |
+
"loss": 0.2255,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.49,
|
108 |
+
"learning_rate": 2.010200492437566e-05,
|
109 |
+
"loss": 0.2263,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.58,
|
114 |
+
"learning_rate": 1.8343299331691876e-05,
|
115 |
+
"loss": 0.2825,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.67,
|
120 |
+
"learning_rate": 1.6584593739008092e-05,
|
121 |
+
"loss": 0.2196,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.76,
|
126 |
+
"learning_rate": 1.4825888146324307e-05,
|
127 |
+
"loss": 0.2178,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.85,
|
132 |
+
"learning_rate": 1.3067182553640523e-05,
|
133 |
+
"loss": 0.2175,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.93,
|
138 |
+
"learning_rate": 1.1308476960956737e-05,
|
139 |
+
"loss": 0.2177,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 2.02,
|
144 |
+
"learning_rate": 9.549771368272951e-06,
|
145 |
+
"loss": 0.2053,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 2.11,
|
150 |
+
"learning_rate": 7.791065775589167e-06,
|
151 |
+
"loss": 0.3079,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 2.2,
|
156 |
+
"learning_rate": 6.032360182905382e-06,
|
157 |
+
"loss": 0.1813,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.29,
|
162 |
+
"learning_rate": 4.2736545902215974e-06,
|
163 |
+
"loss": 0.1804,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.37,
|
168 |
+
"learning_rate": 2.5149489975378126e-06,
|
169 |
+
"loss": 0.1771,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 2.46,
|
174 |
+
"learning_rate": 7.562434048540275e-07,
|
175 |
+
"loss": 0.1697,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 2.5,
|
180 |
+
"step": 14215,
|
181 |
+
"total_flos": 1.426060746003456e+16,
|
182 |
+
"train_loss": 1386.6627225032541,
|
183 |
+
"train_runtime": 8097.4527,
|
184 |
+
"train_samples_per_second": 112.333,
|
185 |
+
"train_steps_per_second": 1.755
|
186 |
+
}
|
187 |
+
],
|
188 |
+
"max_steps": 14215,
|
189 |
+
"num_train_epochs": 3,
|
190 |
+
"total_flos": 1.426060746003456e+16,
|
191 |
+
"trial_name": null,
|
192 |
+
"trial_params": null
|
193 |
+
}
|