AlekseyKorshuk
commited on
Commit
•
17ead1a
1
Parent(s):
f358b13
End of training
Browse files- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +242 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"train_loss": 0.9872670257983565,
|
4 |
+
"train_runtime": 83520.7385,
|
5 |
+
"train_samples": 391,
|
6 |
+
"train_samples_per_second": 0.07,
|
7 |
+
"train_steps_per_second": 0.018
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"train_loss": 0.9872670257983565,
|
4 |
+
"train_runtime": 83520.7385,
|
5 |
+
"train_samples": 391,
|
6 |
+
"train_samples_per_second": 0.07,
|
7 |
+
"train_steps_per_second": 0.018
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,242 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"global_step": 1470,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 9e-07,
|
13 |
+
"loss": 2.4836,
|
14 |
+
"perplexity": 11.98433044208569,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 1.0,
|
19 |
+
"learning_rate": 9e-07,
|
20 |
+
"loss": 2.5819,
|
21 |
+
"perplexity": 13.222236558089785,
|
22 |
+
"step": 98
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 1.0,
|
26 |
+
"eval_runtime": 0.0023,
|
27 |
+
"eval_samples_per_second": 0.0,
|
28 |
+
"eval_steps_per_second": 0.0,
|
29 |
+
"step": 98
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.0,
|
33 |
+
"learning_rate": 9e-07,
|
34 |
+
"loss": 2.1794,
|
35 |
+
"perplexity": 8.841000066982355,
|
36 |
+
"step": 196
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 2.0,
|
40 |
+
"eval_runtime": 0.0022,
|
41 |
+
"eval_samples_per_second": 0.0,
|
42 |
+
"eval_steps_per_second": 0.0,
|
43 |
+
"step": 196
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 3.0,
|
47 |
+
"learning_rate": 9e-07,
|
48 |
+
"loss": 1.8523,
|
49 |
+
"perplexity": 6.374463942130527,
|
50 |
+
"step": 294
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 3.0,
|
54 |
+
"eval_runtime": 0.0023,
|
55 |
+
"eval_samples_per_second": 0.0,
|
56 |
+
"eval_steps_per_second": 0.0,
|
57 |
+
"step": 294
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.0,
|
61 |
+
"learning_rate": 9e-07,
|
62 |
+
"loss": 1.5639,
|
63 |
+
"perplexity": 4.777416885923455,
|
64 |
+
"step": 392
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 4.0,
|
68 |
+
"eval_runtime": 0.0025,
|
69 |
+
"eval_samples_per_second": 0.0,
|
70 |
+
"eval_steps_per_second": 0.0,
|
71 |
+
"step": 392
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 5.0,
|
75 |
+
"learning_rate": 9e-07,
|
76 |
+
"loss": 1.3052,
|
77 |
+
"perplexity": 3.688426705282456,
|
78 |
+
"step": 490
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 5.0,
|
82 |
+
"eval_runtime": 0.0022,
|
83 |
+
"eval_samples_per_second": 0.0,
|
84 |
+
"eval_steps_per_second": 0.0,
|
85 |
+
"step": 490
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 6.0,
|
89 |
+
"learning_rate": 9e-07,
|
90 |
+
"loss": 1.0804,
|
91 |
+
"perplexity": 2.945857658491727,
|
92 |
+
"step": 588
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 6.0,
|
96 |
+
"eval_runtime": 0.0023,
|
97 |
+
"eval_samples_per_second": 0.0,
|
98 |
+
"eval_steps_per_second": 0.0,
|
99 |
+
"step": 588
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 7.0,
|
103 |
+
"learning_rate": 9e-07,
|
104 |
+
"loss": 0.8983,
|
105 |
+
"perplexity": 2.455425337981329,
|
106 |
+
"step": 686
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 7.0,
|
110 |
+
"eval_runtime": 0.003,
|
111 |
+
"eval_samples_per_second": 0.0,
|
112 |
+
"eval_steps_per_second": 0.0,
|
113 |
+
"step": 686
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 8.0,
|
117 |
+
"learning_rate": 9e-07,
|
118 |
+
"loss": 0.7469,
|
119 |
+
"perplexity": 2.1104474782431386,
|
120 |
+
"step": 784
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 8.0,
|
124 |
+
"eval_runtime": 0.0025,
|
125 |
+
"eval_samples_per_second": 0.0,
|
126 |
+
"eval_steps_per_second": 0.0,
|
127 |
+
"step": 784
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 9.0,
|
131 |
+
"learning_rate": 9e-07,
|
132 |
+
"loss": 0.6196,
|
133 |
+
"perplexity": 1.8581846193240203,
|
134 |
+
"step": 882
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 9.0,
|
138 |
+
"eval_runtime": 0.0023,
|
139 |
+
"eval_samples_per_second": 0.0,
|
140 |
+
"eval_steps_per_second": 0.0,
|
141 |
+
"step": 882
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 10.0,
|
145 |
+
"learning_rate": 9e-07,
|
146 |
+
"loss": 0.5154,
|
147 |
+
"perplexity": 1.6743080911071826,
|
148 |
+
"step": 980
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 10.0,
|
152 |
+
"eval_runtime": 0.0021,
|
153 |
+
"eval_samples_per_second": 0.0,
|
154 |
+
"eval_steps_per_second": 0.0,
|
155 |
+
"step": 980
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 11.0,
|
159 |
+
"learning_rate": 9e-07,
|
160 |
+
"loss": 0.4301,
|
161 |
+
"perplexity": 1.53741125698718,
|
162 |
+
"step": 1078
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 11.0,
|
166 |
+
"eval_runtime": 0.0027,
|
167 |
+
"eval_samples_per_second": 0.0,
|
168 |
+
"eval_steps_per_second": 0.0,
|
169 |
+
"step": 1078
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 12.0,
|
173 |
+
"learning_rate": 9e-07,
|
174 |
+
"loss": 0.3466,
|
175 |
+
"perplexity": 1.4142509118505286,
|
176 |
+
"step": 1176
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 12.0,
|
180 |
+
"eval_runtime": 0.0027,
|
181 |
+
"eval_samples_per_second": 0.0,
|
182 |
+
"eval_steps_per_second": 0.0,
|
183 |
+
"step": 1176
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 13.0,
|
187 |
+
"learning_rate": 9e-07,
|
188 |
+
"loss": 0.2822,
|
189 |
+
"perplexity": 1.3260439022481316,
|
190 |
+
"step": 1274
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 13.0,
|
194 |
+
"eval_runtime": 0.0031,
|
195 |
+
"eval_samples_per_second": 0.0,
|
196 |
+
"eval_steps_per_second": 0.0,
|
197 |
+
"step": 1274
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 14.0,
|
201 |
+
"learning_rate": 9e-07,
|
202 |
+
"loss": 0.2263,
|
203 |
+
"perplexity": 1.2539517943943168,
|
204 |
+
"step": 1372
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 14.0,
|
208 |
+
"eval_runtime": 0.002,
|
209 |
+
"eval_samples_per_second": 0.0,
|
210 |
+
"eval_steps_per_second": 0.0,
|
211 |
+
"step": 1372
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 15.0,
|
215 |
+
"learning_rate": 9e-07,
|
216 |
+
"loss": 0.1815,
|
217 |
+
"perplexity": 1.1990145367097138,
|
218 |
+
"step": 1470
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 15.0,
|
222 |
+
"eval_runtime": 0.0024,
|
223 |
+
"eval_samples_per_second": 0.0,
|
224 |
+
"eval_steps_per_second": 0.0,
|
225 |
+
"step": 1470
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 15.0,
|
229 |
+
"step": 1470,
|
230 |
+
"total_flos": 49376758071296.0,
|
231 |
+
"train_loss": 0.9872670257983565,
|
232 |
+
"train_runtime": 83520.7385,
|
233 |
+
"train_samples_per_second": 0.07,
|
234 |
+
"train_steps_per_second": 0.018
|
235 |
+
}
|
236 |
+
],
|
237 |
+
"max_steps": 1470,
|
238 |
+
"num_train_epochs": 15,
|
239 |
+
"total_flos": 49376758071296.0,
|
240 |
+
"trial_name": null,
|
241 |
+
"trial_params": null
|
242 |
+
}
|