sgangireddy
commited on
Commit
•
6910dbe
1
Parent(s):
544bafd
End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 83.33,
|
3 |
+
"eval_loss": 0.5390146970748901,
|
4 |
+
"eval_runtime": 796.4211,
|
5 |
+
"eval_samples_per_second": 0.742,
|
6 |
+
"eval_steps_per_second": 0.046,
|
7 |
+
"eval_wer": 20.932719441556515,
|
8 |
+
"train_loss": 0.07179988482128828,
|
9 |
+
"train_runtime": 4551.8374,
|
10 |
+
"train_samples_per_second": 14.06,
|
11 |
+
"train_steps_per_second": 0.22
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 83.33,
|
3 |
+
"eval_loss": 0.5390146970748901,
|
4 |
+
"eval_runtime": 796.4211,
|
5 |
+
"eval_samples_per_second": 0.742,
|
6 |
+
"eval_steps_per_second": 0.046,
|
7 |
+
"eval_wer": 20.932719441556515
|
8 |
+
}
|
runs/Dec12_17-12-37_129-154-224-251/events.out.tfevents.1670870949.129-154-224-251.68157.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc839d45b07e302a15110c87717684f05a9ab885b96209351c809d8e88ae6a3f
|
3 |
+
size 358
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 83.33,
|
3 |
+
"train_loss": 0.07179988482128828,
|
4 |
+
"train_runtime": 4551.8374,
|
5 |
+
"train_samples_per_second": 14.06,
|
6 |
+
"train_steps_per_second": 0.22
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,274 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 20.932719441556515,
|
3 |
+
"best_model_checkpoint": "./checkpoint-1000",
|
4 |
+
"epoch": 83.33333333333333,
|
5 |
+
"global_step": 1000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 2.08,
|
12 |
+
"learning_rate": 5.000000000000001e-07,
|
13 |
+
"loss": 0.5839,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 4.17,
|
18 |
+
"learning_rate": 1.0000000000000002e-06,
|
19 |
+
"loss": 0.5075,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 6.25,
|
24 |
+
"learning_rate": 1.5e-06,
|
25 |
+
"loss": 0.4123,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 8.33,
|
30 |
+
"learning_rate": 2.0000000000000003e-06,
|
31 |
+
"loss": 0.3349,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 10.42,
|
36 |
+
"learning_rate": 2.5e-06,
|
37 |
+
"loss": 0.2786,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 12.5,
|
42 |
+
"learning_rate": 3e-06,
|
43 |
+
"loss": 0.2203,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 14.58,
|
48 |
+
"learning_rate": 3.5e-06,
|
49 |
+
"loss": 0.1776,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 16.67,
|
54 |
+
"learning_rate": 4.000000000000001e-06,
|
55 |
+
"loss": 0.1259,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 18.75,
|
60 |
+
"learning_rate": 4.5e-06,
|
61 |
+
"loss": 0.0858,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 20.83,
|
66 |
+
"learning_rate": 5e-06,
|
67 |
+
"loss": 0.0538,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 22.92,
|
72 |
+
"learning_rate": 5.500000000000001e-06,
|
73 |
+
"loss": 0.0303,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 25.0,
|
78 |
+
"learning_rate": 6e-06,
|
79 |
+
"loss": 0.0177,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 27.08,
|
84 |
+
"learning_rate": 6.5000000000000004e-06,
|
85 |
+
"loss": 0.0105,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 29.17,
|
90 |
+
"learning_rate": 7e-06,
|
91 |
+
"loss": 0.0068,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 31.25,
|
96 |
+
"learning_rate": 7.500000000000001e-06,
|
97 |
+
"loss": 0.0044,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 33.33,
|
102 |
+
"learning_rate": 8.000000000000001e-06,
|
103 |
+
"loss": 0.0033,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 35.42,
|
108 |
+
"learning_rate": 8.5e-06,
|
109 |
+
"loss": 0.0025,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 37.5,
|
114 |
+
"learning_rate": 9e-06,
|
115 |
+
"loss": 0.002,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 39.58,
|
120 |
+
"learning_rate": 9.5e-06,
|
121 |
+
"loss": 0.0016,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 41.67,
|
126 |
+
"learning_rate": 1e-05,
|
127 |
+
"loss": 0.0013,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 43.75,
|
132 |
+
"learning_rate": 9.5e-06,
|
133 |
+
"loss": 0.0011,
|
134 |
+
"step": 525
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 45.83,
|
138 |
+
"learning_rate": 9e-06,
|
139 |
+
"loss": 0.001,
|
140 |
+
"step": 550
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 47.92,
|
144 |
+
"learning_rate": 8.5e-06,
|
145 |
+
"loss": 0.0008,
|
146 |
+
"step": 575
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 50.0,
|
150 |
+
"learning_rate": 8.000000000000001e-06,
|
151 |
+
"loss": 0.0007,
|
152 |
+
"step": 600
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 52.08,
|
156 |
+
"learning_rate": 7.500000000000001e-06,
|
157 |
+
"loss": 0.0007,
|
158 |
+
"step": 625
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 54.17,
|
162 |
+
"learning_rate": 7e-06,
|
163 |
+
"loss": 0.0006,
|
164 |
+
"step": 650
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 56.25,
|
168 |
+
"learning_rate": 6.5000000000000004e-06,
|
169 |
+
"loss": 0.0006,
|
170 |
+
"step": 675
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 58.33,
|
174 |
+
"learning_rate": 6e-06,
|
175 |
+
"loss": 0.0005,
|
176 |
+
"step": 700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 60.42,
|
180 |
+
"learning_rate": 5.500000000000001e-06,
|
181 |
+
"loss": 0.0005,
|
182 |
+
"step": 725
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 62.5,
|
186 |
+
"learning_rate": 5e-06,
|
187 |
+
"loss": 0.0005,
|
188 |
+
"step": 750
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 64.58,
|
192 |
+
"learning_rate": 4.5e-06,
|
193 |
+
"loss": 0.0005,
|
194 |
+
"step": 775
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 66.67,
|
198 |
+
"learning_rate": 4.000000000000001e-06,
|
199 |
+
"loss": 0.0004,
|
200 |
+
"step": 800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 68.75,
|
204 |
+
"learning_rate": 3.5e-06,
|
205 |
+
"loss": 0.0004,
|
206 |
+
"step": 825
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 70.83,
|
210 |
+
"learning_rate": 3e-06,
|
211 |
+
"loss": 0.0004,
|
212 |
+
"step": 850
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 72.92,
|
216 |
+
"learning_rate": 2.5e-06,
|
217 |
+
"loss": 0.0004,
|
218 |
+
"step": 875
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 75.0,
|
222 |
+
"learning_rate": 2.0000000000000003e-06,
|
223 |
+
"loss": 0.0004,
|
224 |
+
"step": 900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 77.08,
|
228 |
+
"learning_rate": 1.5e-06,
|
229 |
+
"loss": 0.0004,
|
230 |
+
"step": 925
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 79.17,
|
234 |
+
"learning_rate": 1.0000000000000002e-06,
|
235 |
+
"loss": 0.0004,
|
236 |
+
"step": 950
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 81.25,
|
240 |
+
"learning_rate": 5.000000000000001e-07,
|
241 |
+
"loss": 0.0004,
|
242 |
+
"step": 975
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 83.33,
|
246 |
+
"learning_rate": 0.0,
|
247 |
+
"loss": 0.0004,
|
248 |
+
"step": 1000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 83.33,
|
252 |
+
"eval_loss": 0.5390146970748901,
|
253 |
+
"eval_runtime": 793.4997,
|
254 |
+
"eval_samples_per_second": 0.745,
|
255 |
+
"eval_steps_per_second": 0.047,
|
256 |
+
"eval_wer": 20.932719441556515,
|
257 |
+
"step": 1000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 83.33,
|
261 |
+
"step": 1000,
|
262 |
+
"total_flos": 1.79904138559488e+19,
|
263 |
+
"train_loss": 0.07179988482128828,
|
264 |
+
"train_runtime": 4551.8374,
|
265 |
+
"train_samples_per_second": 14.06,
|
266 |
+
"train_steps_per_second": 0.22
|
267 |
+
}
|
268 |
+
],
|
269 |
+
"max_steps": 1000,
|
270 |
+
"num_train_epochs": 84,
|
271 |
+
"total_flos": 1.79904138559488e+19,
|
272 |
+
"trial_name": null,
|
273 |
+
"trial_params": null
|
274 |
+
}
|