End of training
Browse files- all_results.json +11 -11
- eval_results.json +7 -7
- train_results.json +5 -5
- trainer_state.json +180 -12
all_results.json
CHANGED
@@ -1,15 +1,15 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_bleu":
|
4 |
-
"eval_gen_len":
|
5 |
-
"eval_loss": 1.
|
6 |
-
"eval_runtime":
|
7 |
"eval_samples": 12422,
|
8 |
-
"eval_samples_per_second":
|
9 |
-
"eval_steps_per_second": 0.
|
10 |
-
"train_loss":
|
11 |
-
"train_runtime":
|
12 |
"train_samples": 62107,
|
13 |
-
"train_samples_per_second":
|
14 |
-
"train_steps_per_second":
|
15 |
}
|
1 |
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_bleu": 15.5285,
|
4 |
+
"eval_gen_len": 72.9834,
|
5 |
+
"eval_loss": 1.4939100742340088,
|
6 |
+
"eval_runtime": 175.6876,
|
7 |
"eval_samples": 12422,
|
8 |
+
"eval_samples_per_second": 70.705,
|
9 |
+
"eval_steps_per_second": 0.558,
|
10 |
+
"train_loss": 1.07285234270763,
|
11 |
+
"train_runtime": 3358.559,
|
12 |
"train_samples": 62107,
|
13 |
+
"train_samples_per_second": 369.843,
|
14 |
+
"train_steps_per_second": 1.447
|
15 |
}
|
eval_results.json
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_bleu":
|
4 |
-
"eval_gen_len":
|
5 |
-
"eval_loss": 1.
|
6 |
-
"eval_runtime":
|
7 |
"eval_samples": 12422,
|
8 |
-
"eval_samples_per_second":
|
9 |
-
"eval_steps_per_second": 0.
|
10 |
}
|
1 |
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_bleu": 15.5285,
|
4 |
+
"eval_gen_len": 72.9834,
|
5 |
+
"eval_loss": 1.4939100742340088,
|
6 |
+
"eval_runtime": 175.6876,
|
7 |
"eval_samples": 12422,
|
8 |
+
"eval_samples_per_second": 70.705,
|
9 |
+
"eval_steps_per_second": 0.558
|
10 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 62107,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
1 |
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"train_loss": 1.07285234270763,
|
4 |
+
"train_runtime": 3358.559,
|
5 |
"train_samples": 62107,
|
6 |
+
"train_samples_per_second": 369.843,
|
7 |
+
"train_steps_per_second": 1.447
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
@@ -32,18 +32,186 @@
|
|
32 |
"step": 2000
|
33 |
},
|
34 |
{
|
35 |
-
"epoch":
|
36 |
-
"
|
37 |
-
"
|
38 |
-
"
|
39 |
-
|
40 |
-
|
41 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
}
|
43 |
],
|
44 |
-
"max_steps":
|
45 |
-
"num_train_epochs":
|
46 |
-
"total_flos":
|
47 |
"trial_name": null,
|
48 |
"trial_params": null
|
49 |
}
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 4860,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
32 |
"step": 2000
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 8.64,
|
36 |
+
"learning_rate": 2.839506172839506e-05,
|
37 |
+
"loss": 1.984,
|
38 |
+
"step": 2100
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 9.05,
|
42 |
+
"learning_rate": 2.736625514403292e-05,
|
43 |
+
"loss": 1.9696,
|
44 |
+
"step": 2200
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 9.47,
|
48 |
+
"learning_rate": 2.6337448559670787e-05,
|
49 |
+
"loss": 1.9453,
|
50 |
+
"step": 2300
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 9.88,
|
54 |
+
"learning_rate": 2.5308641975308646e-05,
|
55 |
+
"loss": 1.9285,
|
56 |
+
"step": 2400
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 10.29,
|
60 |
+
"learning_rate": 2.4279835390946505e-05,
|
61 |
+
"loss": 1.9107,
|
62 |
+
"step": 2500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 10.7,
|
66 |
+
"learning_rate": 2.3251028806584364e-05,
|
67 |
+
"loss": 1.8961,
|
68 |
+
"step": 2600
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 11.11,
|
72 |
+
"learning_rate": 2.2222222222222223e-05,
|
73 |
+
"loss": 1.8783,
|
74 |
+
"step": 2700
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 11.52,
|
78 |
+
"learning_rate": 2.1193415637860082e-05,
|
79 |
+
"loss": 1.8653,
|
80 |
+
"step": 2800
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 11.93,
|
84 |
+
"learning_rate": 2.016460905349794e-05,
|
85 |
+
"loss": 1.8566,
|
86 |
+
"step": 2900
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 12.35,
|
90 |
+
"learning_rate": 1.91358024691358e-05,
|
91 |
+
"loss": 1.8443,
|
92 |
+
"step": 3000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 12.76,
|
96 |
+
"learning_rate": 1.8106995884773663e-05,
|
97 |
+
"loss": 1.833,
|
98 |
+
"step": 3100
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 13.17,
|
102 |
+
"learning_rate": 1.7078189300411522e-05,
|
103 |
+
"loss": 1.8222,
|
104 |
+
"step": 3200
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 13.58,
|
108 |
+
"learning_rate": 1.604938271604938e-05,
|
109 |
+
"loss": 1.8154,
|
110 |
+
"step": 3300
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 13.99,
|
114 |
+
"learning_rate": 1.5020576131687244e-05,
|
115 |
+
"loss": 1.8063,
|
116 |
+
"step": 3400
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 14.4,
|
120 |
+
"learning_rate": 1.3991769547325103e-05,
|
121 |
+
"loss": 1.7957,
|
122 |
+
"step": 3500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 14.81,
|
126 |
+
"learning_rate": 1.2962962962962962e-05,
|
127 |
+
"loss": 1.7933,
|
128 |
+
"step": 3600
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 15.23,
|
132 |
+
"learning_rate": 1.1934156378600823e-05,
|
133 |
+
"loss": 1.7856,
|
134 |
+
"step": 3700
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 15.64,
|
138 |
+
"learning_rate": 1.0905349794238684e-05,
|
139 |
+
"loss": 1.7801,
|
140 |
+
"step": 3800
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 16.05,
|
144 |
+
"learning_rate": 9.876543209876543e-06,
|
145 |
+
"loss": 1.7724,
|
146 |
+
"step": 3900
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 16.46,
|
150 |
+
"learning_rate": 8.847736625514404e-06,
|
151 |
+
"loss": 1.7685,
|
152 |
+
"step": 4000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 16.87,
|
156 |
+
"learning_rate": 7.818930041152265e-06,
|
157 |
+
"loss": 1.7627,
|
158 |
+
"step": 4100
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 17.28,
|
162 |
+
"learning_rate": 6.790123456790123e-06,
|
163 |
+
"loss": 1.7664,
|
164 |
+
"step": 4200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 17.7,
|
168 |
+
"learning_rate": 5.761316872427984e-06,
|
169 |
+
"loss": 1.7572,
|
170 |
+
"step": 4300
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 18.11,
|
174 |
+
"learning_rate": 4.732510288065844e-06,
|
175 |
+
"loss": 1.7504,
|
176 |
+
"step": 4400
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 18.52,
|
180 |
+
"learning_rate": 3.7037037037037037e-06,
|
181 |
+
"loss": 1.7536,
|
182 |
+
"step": 4500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 18.93,
|
186 |
+
"learning_rate": 2.6748971193415637e-06,
|
187 |
+
"loss": 1.7503,
|
188 |
+
"step": 4600
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 19.34,
|
192 |
+
"learning_rate": 1.6460905349794242e-06,
|
193 |
+
"loss": 1.7459,
|
194 |
+
"step": 4700
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 19.75,
|
198 |
+
"learning_rate": 6.17283950617284e-07,
|
199 |
+
"loss": 1.7519,
|
200 |
+
"step": 4800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 20.0,
|
204 |
+
"step": 4860,
|
205 |
+
"total_flos": 4.53936534237696e+16,
|
206 |
+
"train_loss": 1.07285234270763,
|
207 |
+
"train_runtime": 3358.559,
|
208 |
+
"train_samples_per_second": 369.843,
|
209 |
+
"train_steps_per_second": 1.447
|
210 |
}
|
211 |
],
|
212 |
+
"max_steps": 4860,
|
213 |
+
"num_train_epochs": 20,
|
214 |
+
"total_flos": 4.53936534237696e+16,
|
215 |
"trial_name": null,
|
216 |
"trial_params": null
|
217 |
}
|