jonabur
commited on
Commit
•
5da6497
1
Parent(s):
c9757cd
update chat version
Browse files- all_results.json +10 -10
- config.json +1 -1
- eval_results.json +5 -5
- model-00001-of-00014.safetensors +1 -1
- model-00002-of-00014.safetensors +1 -1
- model-00003-of-00014.safetensors +1 -1
- model-00004-of-00014.safetensors +1 -1
- model-00005-of-00014.safetensors +1 -1
- model-00006-of-00014.safetensors +1 -1
- model-00007-of-00014.safetensors +1 -1
- model-00008-of-00014.safetensors +1 -1
- model-00009-of-00014.safetensors +1 -1
- model-00010-of-00014.safetensors +1 -1
- model-00011-of-00014.safetensors +1 -1
- model-00012-of-00014.safetensors +1 -1
- model-00013-of-00014.safetensors +1 -1
- model-00014-of-00014.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +1077 -1329
- training_args.bin +2 -2
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples":
|
6 |
-
"eval_samples_per_second": 10.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
-
"train_loss": 0.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.7387598752975464,
|
4 |
+
"eval_runtime": 133.2357,
|
5 |
+
"eval_samples": 1363,
|
6 |
+
"eval_samples_per_second": 10.23,
|
7 |
+
"eval_steps_per_second": 0.113,
|
8 |
+
"train_loss": 0.872046828952715,
|
9 |
+
"train_runtime": 30104.3205,
|
10 |
+
"train_samples": 27928,
|
11 |
+
"train_samples_per_second": 2.783,
|
12 |
+
"train_steps_per_second": 0.058
|
13 |
}
|
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "/scratch/
|
3 |
"apply_residual_connection_post_layernorm": false,
|
4 |
"architectures": [
|
5 |
"BloomForCausalLM"
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "/scratch/project_462000444/zosaelai2/models/Poro-34b-Chat",
|
3 |
"apply_residual_connection_post_layernorm": false,
|
4 |
"architectures": [
|
5 |
"BloomForCausalLM"
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"eval_loss": 1.
|
4 |
-
"eval_runtime":
|
5 |
-
"eval_samples":
|
6 |
-
"eval_samples_per_second": 10.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"eval_loss": 1.7387598752975464,
|
4 |
+
"eval_runtime": 133.2357,
|
5 |
+
"eval_samples": 1363,
|
6 |
+
"eval_samples_per_second": 10.23,
|
7 |
+
"eval_steps_per_second": 0.113
|
8 |
}
|
model-00001-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4712820784
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e26d4d99ffee422d8f22c4b8c684bb9fcd52910ae87d605f77589754c86c9754
|
3 |
size 4712820784
|
model-00002-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252680
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cb05b88fdd0c8c2c7abba8ef4b99edcd3d52210b6e942cc27c61bbad5fb45a0
|
3 |
size 4933252680
|
model-00003-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252648
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:04b141df4d05f4f0019b3e038415c3caa0958db4f3c00724242c160920811916
|
3 |
size 4933252648
|
model-00004-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9639ee942617714ed0ec5e6036c4696906b7dfa2ddc20416b2f53fc6245d1213
|
3 |
size 4933252728
|
model-00005-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:504d621932697cee74218cdfd052cc76f62c469d1f5a644c089919be72b14ef6
|
3 |
size 4933252728
|
model-00006-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a9035eabc590f2497b2c413d1b382476e67b304d27312d2ddd1fd66ba4f46b5b
|
3 |
size 4933252728
|
model-00007-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2dc30447b516474700d4bb860155da2862907b1f0da94d72f776e7fb278e505d
|
3 |
size 4933252728
|
model-00008-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ec50bc952bfe8c69d3e588fc5c85345e8aecd696d5032631e1eb356ed605997
|
3 |
size 4933252728
|
model-00009-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a48cae7f730aa02e5f746b0fafe1ac3efb36e7e6a05b7e4739c6ff6378421acf
|
3 |
size 4933252728
|
model-00010-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b97164bb97f8f4d89cc6ed3922dadb38e6b3436ec24197583a62befcdb679162
|
3 |
size 4933252728
|
model-00011-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:647d99c8c910a23392a09237dabb427ff62927e42d52e6896dd4f8e0585fb350
|
3 |
size 4933252728
|
model-00012-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f8aba7688dcb24fbc6dc691a19d2ba0389edc76ca37be7c935d712f628467f3
|
3 |
size 4933252728
|
model-00013-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4933252728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d3b7d4e3b8cef88db8863317b471398ee777ae289ffc20bb849bffeb3d53fb84
|
3 |
size 4933252728
|
model-00014-of-00014.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4522124144
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea783f2f5dc63b28b2768bb8dc1ea66ffd914f5b13b55fa95ed124025a408435
|
3 |
size 4522124144
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"train_loss": 0.872046828952715,
|
4 |
+
"train_runtime": 30104.3205,
|
5 |
+
"train_samples": 27928,
|
6 |
+
"train_samples_per_second": 2.783,
|
7 |
+
"train_steps_per_second": 0.058
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,2404 +1,2152 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"eval_steps":
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
-
"learning_rate": 1.
|
14 |
-
"loss": 2.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
-
"learning_rate": 5.
|
20 |
-
"loss":
|
21 |
"step": 5
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.02,
|
25 |
-
"learning_rate": 1.
|
26 |
-
"loss":
|
27 |
"step": 10
|
28 |
},
|
29 |
{
|
30 |
-
"epoch": 0.
|
31 |
-
"learning_rate": 1.
|
32 |
-
"loss": 2.
|
33 |
"step": 15
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.03,
|
37 |
-
"learning_rate": 2.
|
38 |
-
"loss": 2.
|
39 |
"step": 20
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04,
|
43 |
-
"learning_rate": 2.
|
44 |
-
"loss":
|
45 |
"step": 25
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.05,
|
49 |
-
"learning_rate": 3.
|
50 |
-
"loss": 1.
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"learning_rate":
|
56 |
-
"loss": 1.
|
57 |
"step": 35
|
58 |
},
|
59 |
{
|
60 |
-
"epoch": 0.
|
61 |
-
"learning_rate": 4.
|
62 |
-
"loss": 1.
|
63 |
"step": 40
|
64 |
},
|
65 |
{
|
66 |
-
"epoch": 0.
|
67 |
-
"learning_rate":
|
68 |
-
"loss": 1.
|
69 |
"step": 45
|
70 |
},
|
71 |
{
|
72 |
-
"epoch": 0.
|
73 |
-
"learning_rate": 5.
|
74 |
-
"loss": 1.
|
75 |
"step": 50
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.09,
|
79 |
-
"learning_rate":
|
80 |
-
"loss": 1.
|
81 |
"step": 55
|
82 |
},
|
83 |
{
|
84 |
-
"epoch": 0.
|
85 |
-
"learning_rate": 6.
|
86 |
-
"loss": 1.
|
87 |
"step": 60
|
88 |
},
|
89 |
{
|
90 |
-
"epoch": 0.
|
91 |
-
"learning_rate":
|
92 |
-
"loss": 1.
|
93 |
"step": 65
|
94 |
},
|
95 |
{
|
96 |
-
"epoch": 0.
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 1.
|
99 |
"step": 70
|
100 |
},
|
101 |
{
|
102 |
-
"epoch": 0.
|
103 |
-
"learning_rate":
|
104 |
-
"loss": 1.
|
105 |
"step": 75
|
106 |
},
|
107 |
{
|
108 |
-
"epoch": 0.
|
109 |
-
"learning_rate":
|
110 |
-
"loss": 1.
|
111 |
"step": 80
|
112 |
},
|
113 |
{
|
114 |
-
"epoch": 0.
|
115 |
-
"learning_rate":
|
116 |
-
"loss": 1.
|
117 |
"step": 85
|
118 |
},
|
119 |
{
|
120 |
-
"epoch": 0.
|
121 |
-
"learning_rate":
|
122 |
-
"loss": 1.
|
123 |
"step": 90
|
124 |
},
|
125 |
{
|
126 |
-
"epoch": 0.
|
127 |
-
"learning_rate":
|
128 |
-
"loss": 1.
|
129 |
"step": 95
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 0.
|
133 |
-
"learning_rate": 1.
|
134 |
-
"loss": 1.
|
135 |
"step": 100
|
136 |
},
|
137 |
{
|
138 |
-
"epoch": 0.
|
139 |
-
"learning_rate": 1.
|
140 |
-
"loss": 1.
|
141 |
"step": 105
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 0.
|
145 |
-
"learning_rate": 1.
|
146 |
-
"loss": 1.
|
147 |
"step": 110
|
148 |
},
|
149 |
{
|
150 |
-
"epoch": 0.
|
151 |
-
"learning_rate": 1.
|
152 |
-
"loss": 1.
|
153 |
"step": 115
|
154 |
},
|
155 |
{
|
156 |
-
"epoch": 0.
|
157 |
-
"learning_rate": 1.
|
158 |
-
"loss": 1.
|
159 |
"step": 120
|
160 |
},
|
161 |
{
|
162 |
-
"epoch": 0.
|
163 |
-
"learning_rate": 1.
|
164 |
-
"loss": 1.
|
165 |
"step": 125
|
166 |
},
|
167 |
{
|
168 |
-
"epoch": 0.
|
169 |
-
"learning_rate": 1.
|
170 |
-
"loss": 1.
|
171 |
"step": 130
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 0.
|
175 |
-
"learning_rate": 1.
|
176 |
-
"loss": 1.
|
177 |
"step": 135
|
178 |
},
|
179 |
{
|
180 |
-
"epoch": 0.
|
181 |
-
"learning_rate": 1.
|
182 |
-
"loss": 1.
|
183 |
"step": 140
|
184 |
},
|
185 |
{
|
186 |
-
"epoch": 0.
|
187 |
-
"learning_rate": 1.
|
188 |
-
"loss": 1.
|
189 |
"step": 145
|
190 |
},
|
191 |
{
|
192 |
-
"epoch": 0.
|
193 |
-
"learning_rate": 1.
|
194 |
-
"loss": 1.
|
195 |
"step": 150
|
196 |
},
|
197 |
{
|
198 |
-
"epoch": 0.
|
199 |
-
"learning_rate": 1.
|
200 |
-
"loss": 1.
|
201 |
"step": 155
|
202 |
},
|
203 |
{
|
204 |
-
"epoch": 0.
|
205 |
-
"learning_rate": 1.
|
206 |
-
"loss": 1.
|
207 |
"step": 160
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 0.
|
211 |
-
"learning_rate": 1.
|
212 |
-
"loss": 1.
|
213 |
"step": 165
|
214 |
},
|
215 |
{
|
216 |
-
"epoch": 0.
|
217 |
-
"learning_rate": 1.
|
218 |
-
"loss": 1.
|
219 |
"step": 170
|
220 |
},
|
221 |
{
|
222 |
-
"epoch": 0.
|
223 |
-
"learning_rate":
|
224 |
-
"loss": 1.
|
225 |
"step": 175
|
226 |
},
|
227 |
{
|
228 |
-
"epoch": 0.
|
229 |
-
"learning_rate": 1.
|
230 |
-
"loss": 1.
|
231 |
"step": 180
|
232 |
},
|
233 |
{
|
234 |
-
"epoch": 0.
|
235 |
-
"learning_rate": 1.
|
236 |
-
"loss": 1.
|
237 |
"step": 185
|
238 |
},
|
239 |
{
|
240 |
-
"epoch": 0.
|
241 |
-
"learning_rate": 1.
|
242 |
-
"loss": 1.
|
243 |
"step": 190
|
244 |
},
|
245 |
{
|
246 |
-
"epoch": 0.
|
247 |
-
"learning_rate": 1.
|
248 |
-
"loss": 1.
|
249 |
"step": 195
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 0.
|
253 |
-
"learning_rate": 1.
|
254 |
-
"loss": 1.
|
255 |
-
"step": 200
|
256 |
-
},
|
257 |
-
{
|
258 |
-
"epoch": 0.31,
|
259 |
-
"eval_loss": 1.5671130418777466,
|
260 |
-
"eval_runtime": 157.1346,
|
261 |
-
"eval_samples_per_second": 10.691,
|
262 |
-
"eval_steps_per_second": 0.115,
|
263 |
"step": 200
|
264 |
},
|
265 |
{
|
266 |
-
"epoch": 0.
|
267 |
-
"learning_rate": 1.
|
268 |
-
"loss": 1.
|
269 |
"step": 205
|
270 |
},
|
271 |
{
|
272 |
-
"epoch": 0.
|
273 |
-
"learning_rate": 1.
|
274 |
-
"loss": 1.
|
275 |
"step": 210
|
276 |
},
|
277 |
{
|
278 |
-
"epoch": 0.
|
279 |
-
"learning_rate": 1.
|
280 |
-
"loss": 1.
|
281 |
"step": 215
|
282 |
},
|
283 |
{
|
284 |
-
"epoch": 0.
|
285 |
-
"learning_rate": 1.
|
286 |
-
"loss": 1.
|
287 |
"step": 220
|
288 |
},
|
289 |
{
|
290 |
-
"epoch": 0.
|
291 |
-
"learning_rate": 1.
|
292 |
-
"loss": 1.
|
293 |
"step": 225
|
294 |
},
|
295 |
{
|
296 |
-
"epoch": 0.
|
297 |
-
"learning_rate": 1.
|
298 |
-
"loss": 1.
|
299 |
"step": 230
|
300 |
},
|
301 |
{
|
302 |
-
"epoch": 0.
|
303 |
-
"learning_rate": 1.
|
304 |
-
"loss": 1.
|
305 |
"step": 235
|
306 |
},
|
307 |
{
|
308 |
-
"epoch": 0.
|
309 |
-
"learning_rate": 1.
|
310 |
-
"loss": 1.
|
311 |
"step": 240
|
312 |
},
|
313 |
{
|
314 |
-
"epoch": 0.
|
315 |
-
"learning_rate": 1.
|
316 |
-
"loss": 1.
|
317 |
"step": 245
|
318 |
},
|
319 |
{
|
320 |
-
"epoch": 0.
|
321 |
-
"learning_rate": 1.
|
322 |
-
"loss": 1.
|
323 |
"step": 250
|
324 |
},
|
325 |
{
|
326 |
-
"epoch": 0.
|
327 |
-
"learning_rate": 1.
|
328 |
-
"loss": 1.
|
329 |
"step": 255
|
330 |
},
|
331 |
{
|
332 |
-
"epoch": 0.
|
333 |
-
"learning_rate": 1.
|
334 |
-
"loss": 1.
|
335 |
"step": 260
|
336 |
},
|
337 |
{
|
338 |
-
"epoch": 0.
|
339 |
-
"learning_rate": 1.
|
340 |
-
"loss": 1.
|
341 |
"step": 265
|
342 |
},
|
343 |
{
|
344 |
-
"epoch": 0.
|
345 |
-
"learning_rate": 1.
|
346 |
-
"loss": 1.
|
347 |
"step": 270
|
348 |
},
|
349 |
{
|
350 |
-
"epoch": 0.
|
351 |
-
"learning_rate": 1.
|
352 |
-
"loss": 1.
|
353 |
"step": 275
|
354 |
},
|
355 |
{
|
356 |
-
"epoch": 0.
|
357 |
-
"learning_rate": 1.
|
358 |
-
"loss": 1.
|
359 |
"step": 280
|
360 |
},
|
361 |
{
|
362 |
-
"epoch": 0.
|
363 |
-
"learning_rate": 1.
|
364 |
-
"loss": 1.
|
365 |
"step": 285
|
366 |
},
|
367 |
{
|
368 |
-
"epoch": 0.
|
369 |
-
"learning_rate": 1.
|
370 |
-
"loss": 1.
|
371 |
"step": 290
|
372 |
},
|
373 |
{
|
374 |
-
"epoch": 0.
|
375 |
-
"learning_rate": 1.
|
376 |
-
"loss": 1.
|
377 |
"step": 295
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 0.
|
381 |
-
"learning_rate": 1.
|
382 |
-
"loss": 1.
|
383 |
"step": 300
|
384 |
},
|
385 |
{
|
386 |
-
"epoch": 0.
|
387 |
-
"learning_rate": 1.
|
388 |
-
"loss": 1.
|
389 |
"step": 305
|
390 |
},
|
391 |
{
|
392 |
-
"epoch": 0.
|
393 |
-
"learning_rate": 1.
|
394 |
-
"loss": 1.
|
395 |
"step": 310
|
396 |
},
|
397 |
{
|
398 |
-
"epoch": 0.
|
399 |
-
"learning_rate": 1.
|
400 |
-
"loss": 1.
|
401 |
"step": 315
|
402 |
},
|
403 |
{
|
404 |
-
"epoch": 0.
|
405 |
-
"learning_rate": 1.
|
406 |
-
"loss": 1.
|
407 |
"step": 320
|
408 |
},
|
409 |
{
|
410 |
-
"epoch": 0.
|
411 |
-
"learning_rate": 1.
|
412 |
-
"loss": 1.
|
413 |
"step": 325
|
414 |
},
|
415 |
{
|
416 |
-
"epoch": 0.
|
417 |
-
"learning_rate": 1.
|
418 |
-
"loss": 1.
|
419 |
"step": 330
|
420 |
},
|
421 |
{
|
422 |
-
"epoch": 0.
|
423 |
-
"learning_rate": 1.
|
424 |
-
"loss": 1.
|
425 |
"step": 335
|
426 |
},
|
427 |
{
|
428 |
-
"epoch": 0.
|
429 |
-
"learning_rate": 1.
|
430 |
-
"loss": 1.
|
431 |
"step": 340
|
432 |
},
|
433 |
{
|
434 |
-
"epoch": 0.
|
435 |
-
"learning_rate": 1.
|
436 |
-
"loss": 1.
|
437 |
"step": 345
|
438 |
},
|
439 |
{
|
440 |
-
"epoch": 0.
|
441 |
-
"learning_rate": 1.
|
442 |
-
"loss": 1.
|
443 |
"step": 350
|
444 |
},
|
445 |
{
|
446 |
-
"epoch": 0.
|
447 |
-
"learning_rate": 1.
|
448 |
-
"loss": 1.
|
449 |
"step": 355
|
450 |
},
|
451 |
{
|
452 |
-
"epoch": 0.
|
453 |
-
"learning_rate": 1.
|
454 |
-
"loss": 1.
|
455 |
"step": 360
|
456 |
},
|
457 |
{
|
458 |
-
"epoch": 0.
|
459 |
-
"learning_rate": 1.
|
460 |
-
"loss": 1.
|
461 |
"step": 365
|
462 |
},
|
463 |
{
|
464 |
-
"epoch": 0.
|
465 |
-
"learning_rate": 1.
|
466 |
-
"loss": 1.
|
467 |
"step": 370
|
468 |
},
|
469 |
{
|
470 |
-
"epoch": 0.
|
471 |
-
"learning_rate": 1.
|
472 |
-
"loss": 1.
|
473 |
"step": 375
|
474 |
},
|
475 |
{
|
476 |
-
"epoch": 0.
|
477 |
-
"learning_rate": 1.
|
478 |
-
"loss": 1.
|
479 |
"step": 380
|
480 |
},
|
481 |
{
|
482 |
-
"epoch": 0.
|
483 |
-
"learning_rate": 1.
|
484 |
-
"loss": 1.
|
485 |
"step": 385
|
486 |
},
|
487 |
{
|
488 |
-
"epoch": 0.
|
489 |
-
"learning_rate": 1.
|
490 |
-
"loss": 1.
|
491 |
"step": 390
|
492 |
},
|
493 |
{
|
494 |
-
"epoch": 0.
|
495 |
-
"learning_rate": 1.
|
496 |
-
"loss": 1.
|
497 |
"step": 395
|
498 |
},
|
499 |
{
|
500 |
-
"epoch": 0.
|
501 |
-
"learning_rate": 1.
|
502 |
-
"loss": 1.
|
503 |
-
"step": 400
|
504 |
-
},
|
505 |
-
{
|
506 |
-
"epoch": 0.63,
|
507 |
-
"eval_loss": 1.551980972290039,
|
508 |
-
"eval_runtime": 156.7574,
|
509 |
-
"eval_samples_per_second": 10.717,
|
510 |
-
"eval_steps_per_second": 0.115,
|
511 |
"step": 400
|
512 |
},
|
513 |
{
|
514 |
-
"epoch": 0.
|
515 |
-
"learning_rate": 1.
|
516 |
-
"loss": 1.
|
517 |
"step": 405
|
518 |
},
|
519 |
{
|
520 |
-
"epoch": 0.
|
521 |
-
"learning_rate": 1.
|
522 |
-
"loss": 1.
|
523 |
"step": 410
|
524 |
},
|
525 |
{
|
526 |
-
"epoch": 0.
|
527 |
-
"learning_rate": 1.
|
528 |
-
"loss": 1.
|
529 |
"step": 415
|
530 |
},
|
531 |
{
|
532 |
-
"epoch": 0.
|
533 |
-
"learning_rate": 1.
|
534 |
-
"loss": 1.
|
535 |
"step": 420
|
536 |
},
|
537 |
{
|
538 |
-
"epoch": 0.
|
539 |
-
"learning_rate": 1.
|
540 |
-
"loss": 1.
|
541 |
"step": 425
|
542 |
},
|
543 |
{
|
544 |
-
"epoch": 0.
|
545 |
-
"learning_rate": 1.
|
546 |
-
"loss": 1.
|
547 |
"step": 430
|
548 |
},
|
549 |
{
|
550 |
-
"epoch": 0.
|
551 |
-
"learning_rate": 1.
|
552 |
-
"loss": 1.
|
553 |
"step": 435
|
554 |
},
|
555 |
{
|
556 |
-
"epoch": 0.
|
557 |
-
"learning_rate": 1.
|
558 |
-
"loss": 1.
|
559 |
"step": 440
|
560 |
},
|
561 |
{
|
562 |
-
"epoch": 0.
|
563 |
-
"learning_rate": 1.
|
564 |
-
"loss": 1.
|
565 |
"step": 445
|
566 |
},
|
567 |
{
|
568 |
-
"epoch": 0.
|
569 |
-
"learning_rate": 1.
|
570 |
-
"loss": 1.
|
571 |
"step": 450
|
572 |
},
|
573 |
{
|
574 |
-
"epoch": 0.
|
575 |
-
"learning_rate": 1.
|
576 |
-
"loss": 1.
|
577 |
"step": 455
|
578 |
},
|
579 |
{
|
580 |
-
"epoch": 0.
|
581 |
-
"learning_rate": 1.
|
582 |
-
"loss": 1.
|
583 |
"step": 460
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 0.
|
587 |
-
"learning_rate": 1.
|
588 |
-
"loss": 1.
|
589 |
"step": 465
|
590 |
},
|
591 |
{
|
592 |
-
"epoch": 0.
|
593 |
-
"learning_rate": 1.
|
594 |
-
"loss": 1.
|
595 |
"step": 470
|
596 |
},
|
597 |
{
|
598 |
-
"epoch": 0.
|
599 |
-
"learning_rate": 1.
|
600 |
-
"loss": 1.
|
601 |
"step": 475
|
602 |
},
|
603 |
{
|
604 |
-
"epoch": 0.
|
605 |
-
"learning_rate": 1.
|
606 |
-
"loss": 1.
|
607 |
"step": 480
|
608 |
},
|
609 |
{
|
610 |
-
"epoch": 0.
|
611 |
-
"learning_rate": 1.
|
612 |
-
"loss": 1.
|
613 |
"step": 485
|
614 |
},
|
615 |
{
|
616 |
-
"epoch": 0.
|
617 |
-
"learning_rate": 1.
|
618 |
-
"loss": 1.
|
619 |
"step": 490
|
620 |
},
|
621 |
{
|
622 |
-
"epoch": 0.
|
623 |
-
"learning_rate": 1.
|
624 |
-
"loss": 1.
|
625 |
"step": 495
|
626 |
},
|
627 |
{
|
628 |
-
"epoch": 0.
|
629 |
-
"learning_rate": 1.
|
630 |
-
"loss": 1.
|
631 |
"step": 500
|
632 |
},
|
633 |
{
|
634 |
-
"epoch": 0.
|
635 |
-
"learning_rate": 1.
|
636 |
-
"loss": 1.
|
637 |
"step": 505
|
638 |
},
|
639 |
{
|
640 |
-
"epoch": 0.
|
641 |
-
"learning_rate": 1.
|
642 |
-
"loss": 1.
|
643 |
"step": 510
|
644 |
},
|
645 |
{
|
646 |
-
"epoch": 0.
|
647 |
-
"learning_rate": 1.
|
648 |
-
"loss": 1.
|
649 |
"step": 515
|
650 |
},
|
651 |
{
|
652 |
-
"epoch": 0.
|
653 |
-
"learning_rate": 1.
|
654 |
-
"loss": 1.
|
655 |
"step": 520
|
656 |
},
|
657 |
{
|
658 |
-
"epoch": 0.
|
659 |
-
"learning_rate": 1.
|
660 |
-
"loss": 1.
|
661 |
"step": 525
|
662 |
},
|
663 |
{
|
664 |
-
"epoch": 0.
|
665 |
-
"learning_rate": 1.
|
666 |
-
"loss": 1.
|
667 |
"step": 530
|
668 |
},
|
669 |
{
|
670 |
-
"epoch": 0.
|
671 |
-
"learning_rate": 1.
|
672 |
-
"loss": 1.
|
673 |
"step": 535
|
674 |
},
|
675 |
{
|
676 |
-
"epoch": 0.
|
677 |
-
"learning_rate": 1.
|
678 |
-
"loss": 1.
|
679 |
"step": 540
|
680 |
},
|
681 |
{
|
682 |
-
"epoch": 0.
|
683 |
-
"learning_rate": 1.
|
684 |
-
"loss": 1.
|
685 |
"step": 545
|
686 |
},
|
687 |
{
|
688 |
-
"epoch": 0.
|
689 |
-
"learning_rate": 1.
|
690 |
-
"loss": 1.
|
691 |
"step": 550
|
692 |
},
|
693 |
{
|
694 |
-
"epoch": 0.
|
695 |
-
"learning_rate": 1.
|
696 |
-
"loss": 1.
|
697 |
"step": 555
|
698 |
},
|
699 |
{
|
700 |
-
"epoch": 0.
|
701 |
-
"learning_rate": 1.
|
702 |
-
"loss": 1.
|
703 |
"step": 560
|
704 |
},
|
705 |
{
|
706 |
-
"epoch": 0.
|
707 |
-
"learning_rate": 1.
|
708 |
-
"loss": 1.
|
709 |
"step": 565
|
710 |
},
|
711 |
{
|
712 |
-
"epoch": 0.
|
713 |
-
"learning_rate": 1.
|
714 |
-
"loss": 1.
|
715 |
"step": 570
|
716 |
},
|
717 |
{
|
718 |
-
"epoch": 0.
|
719 |
-
"learning_rate": 1.
|
720 |
-
"loss": 1.
|
721 |
"step": 575
|
722 |
},
|
723 |
{
|
724 |
-
"epoch": 0
|
725 |
-
"learning_rate": 1.
|
726 |
-
"loss": 1.
|
727 |
"step": 580
|
728 |
},
|
729 |
{
|
730 |
-
"epoch": 0
|
731 |
-
"
|
732 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
733 |
"step": 585
|
734 |
},
|
735 |
{
|
736 |
-
"epoch":
|
737 |
-
"learning_rate": 1.
|
738 |
-
"loss": 1.
|
739 |
"step": 590
|
740 |
},
|
741 |
{
|
742 |
-
"epoch":
|
743 |
-
"learning_rate": 1.
|
744 |
-
"loss": 1.
|
745 |
"step": 595
|
746 |
},
|
747 |
{
|
748 |
-
"epoch":
|
749 |
-
"learning_rate": 1.
|
750 |
-
"loss": 1.
|
751 |
-
"step": 600
|
752 |
-
},
|
753 |
-
{
|
754 |
-
"epoch": 0.94,
|
755 |
-
"eval_loss": 1.5388672351837158,
|
756 |
-
"eval_runtime": 156.7467,
|
757 |
-
"eval_samples_per_second": 10.718,
|
758 |
-
"eval_steps_per_second": 0.115,
|
759 |
"step": 600
|
760 |
},
|
761 |
{
|
762 |
-
"epoch":
|
763 |
-
"learning_rate": 1.
|
764 |
-
"loss": 1.
|
765 |
"step": 605
|
766 |
},
|
767 |
{
|
768 |
-
"epoch":
|
769 |
-
"learning_rate": 1.
|
770 |
-
"loss": 1.
|
771 |
"step": 610
|
772 |
},
|
773 |
{
|
774 |
-
"epoch":
|
775 |
-
"learning_rate": 1.
|
776 |
-
"loss": 1.
|
777 |
"step": 615
|
778 |
},
|
779 |
{
|
780 |
-
"epoch":
|
781 |
-
"learning_rate": 1.
|
782 |
-
"loss": 1.
|
783 |
"step": 620
|
784 |
},
|
785 |
{
|
786 |
-
"epoch":
|
787 |
-
"learning_rate": 1.
|
788 |
-
"loss": 1.
|
789 |
"step": 625
|
790 |
},
|
791 |
{
|
792 |
-
"epoch":
|
793 |
-
"learning_rate": 1.
|
794 |
-
"loss": 1.
|
795 |
"step": 630
|
796 |
},
|
797 |
{
|
798 |
-
"epoch":
|
799 |
-
"learning_rate": 1.
|
800 |
-
"loss": 1.
|
801 |
"step": 635
|
802 |
},
|
803 |
{
|
804 |
-
"epoch": 1.
|
805 |
-
"learning_rate": 1.
|
806 |
-
"loss": 1.
|
807 |
"step": 640
|
808 |
},
|
809 |
{
|
810 |
-
"epoch": 1.
|
811 |
-
"learning_rate": 1.
|
812 |
-
"loss": 1.
|
813 |
"step": 645
|
814 |
},
|
815 |
{
|
816 |
-
"epoch": 1.
|
817 |
-
"learning_rate": 1.
|
818 |
-
"loss": 1.
|
819 |
"step": 650
|
820 |
},
|
821 |
{
|
822 |
-
"epoch": 1.
|
823 |
-
"learning_rate": 1.
|
824 |
-
"loss":
|
825 |
"step": 655
|
826 |
},
|
827 |
{
|
828 |
-
"epoch": 1.
|
829 |
-
"learning_rate": 1.
|
830 |
-
"loss": 1.
|
831 |
"step": 660
|
832 |
},
|
833 |
{
|
834 |
-
"epoch": 1.
|
835 |
-
"learning_rate": 1.
|
836 |
-
"loss":
|
837 |
"step": 665
|
838 |
},
|
839 |
{
|
840 |
-
"epoch": 1.
|
841 |
-
"learning_rate": 1.
|
842 |
-
"loss":
|
843 |
"step": 670
|
844 |
},
|
845 |
{
|
846 |
-
"epoch": 1.
|
847 |
-
"learning_rate": 1.
|
848 |
-
"loss":
|
849 |
"step": 675
|
850 |
},
|
851 |
{
|
852 |
-
"epoch": 1.
|
853 |
-
"learning_rate": 1.
|
854 |
-
"loss":
|
855 |
"step": 680
|
856 |
},
|
857 |
{
|
858 |
-
"epoch": 1.
|
859 |
-
"learning_rate": 1.
|
860 |
-
"loss":
|
861 |
"step": 685
|
862 |
},
|
863 |
{
|
864 |
-
"epoch": 1.
|
865 |
-
"learning_rate": 1.
|
866 |
-
"loss":
|
867 |
"step": 690
|
868 |
},
|
869 |
{
|
870 |
-
"epoch": 1.
|
871 |
-
"learning_rate": 1.
|
872 |
-
"loss":
|
873 |
"step": 695
|
874 |
},
|
875 |
{
|
876 |
-
"epoch": 1.
|
877 |
-
"learning_rate": 1.
|
878 |
-
"loss":
|
879 |
"step": 700
|
880 |
},
|
881 |
{
|
882 |
-
"epoch": 1.
|
883 |
-
"learning_rate": 1.
|
884 |
-
"loss": 0.
|
885 |
"step": 705
|
886 |
},
|
887 |
{
|
888 |
-
"epoch": 1.
|
889 |
-
"learning_rate": 1.
|
890 |
-
"loss": 0.
|
891 |
"step": 710
|
892 |
},
|
893 |
{
|
894 |
-
"epoch": 1.
|
895 |
-
"learning_rate": 1.
|
896 |
-
"loss":
|
897 |
"step": 715
|
898 |
},
|
899 |
{
|
900 |
-
"epoch": 1.
|
901 |
-
"learning_rate": 1.
|
902 |
-
"loss": 0.
|
903 |
"step": 720
|
904 |
},
|
905 |
{
|
906 |
-
"epoch": 1.
|
907 |
-
"learning_rate": 1.
|
908 |
-
"loss": 0.
|
909 |
"step": 725
|
910 |
},
|
911 |
{
|
912 |
-
"epoch": 1.
|
913 |
-
"learning_rate": 1.
|
914 |
-
"loss": 0.
|
915 |
"step": 730
|
916 |
},
|
917 |
{
|
918 |
-
"epoch": 1.
|
919 |
-
"learning_rate": 1.
|
920 |
-
"loss": 0.
|
921 |
"step": 735
|
922 |
},
|
923 |
{
|
924 |
-
"epoch": 1.
|
925 |
-
"learning_rate": 1.
|
926 |
-
"loss": 0.
|
927 |
"step": 740
|
928 |
},
|
929 |
{
|
930 |
-
"epoch": 1.
|
931 |
-
"learning_rate": 1.
|
932 |
-
"loss": 0.
|
933 |
"step": 745
|
934 |
},
|
935 |
{
|
936 |
-
"epoch": 1.
|
937 |
-
"learning_rate": 1.
|
938 |
-
"loss": 0.
|
939 |
"step": 750
|
940 |
},
|
941 |
{
|
942 |
-
"epoch": 1.
|
943 |
-
"learning_rate": 1.
|
944 |
-
"loss": 0.
|
945 |
"step": 755
|
946 |
},
|
947 |
{
|
948 |
-
"epoch": 1.
|
949 |
-
"learning_rate": 1.
|
950 |
-
"loss": 0.
|
951 |
"step": 760
|
952 |
},
|
953 |
{
|
954 |
-
"epoch": 1.
|
955 |
-
"learning_rate": 1.
|
956 |
-
"loss": 0.
|
957 |
"step": 765
|
958 |
},
|
959 |
{
|
960 |
-
"epoch": 1.
|
961 |
-
"learning_rate": 1.
|
962 |
-
"loss": 0.
|
963 |
"step": 770
|
964 |
},
|
965 |
{
|
966 |
-
"epoch": 1.
|
967 |
-
"learning_rate": 1.
|
968 |
-
"loss": 0.
|
969 |
"step": 775
|
970 |
},
|
971 |
{
|
972 |
-
"epoch": 1.
|
973 |
-
"learning_rate": 1.
|
974 |
-
"loss": 0.
|
975 |
"step": 780
|
976 |
},
|
977 |
{
|
978 |
-
"epoch": 1.
|
979 |
-
"learning_rate": 1.
|
980 |
-
"loss": 0.
|
981 |
"step": 785
|
982 |
},
|
983 |
{
|
984 |
-
"epoch": 1.
|
985 |
-
"learning_rate": 1.
|
986 |
-
"loss": 0.
|
987 |
"step": 790
|
988 |
},
|
989 |
{
|
990 |
-
"epoch": 1.
|
991 |
-
"learning_rate": 1.
|
992 |
-
"loss": 0.
|
993 |
"step": 795
|
994 |
},
|
995 |
{
|
996 |
-
"epoch": 1.
|
997 |
-
"learning_rate": 1.
|
998 |
-
"loss": 0.
|
999 |
-
"step": 800
|
1000 |
-
},
|
1001 |
-
{
|
1002 |
-
"epoch": 1.25,
|
1003 |
-
"eval_loss": 1.6069754362106323,
|
1004 |
-
"eval_runtime": 156.7669,
|
1005 |
-
"eval_samples_per_second": 10.717,
|
1006 |
-
"eval_steps_per_second": 0.115,
|
1007 |
"step": 800
|
1008 |
},
|
1009 |
{
|
1010 |
-
"epoch": 1.
|
1011 |
-
"learning_rate": 1.
|
1012 |
-
"loss": 0.
|
1013 |
"step": 805
|
1014 |
},
|
1015 |
{
|
1016 |
-
"epoch": 1.
|
1017 |
-
"learning_rate": 1.
|
1018 |
-
"loss": 0.
|
1019 |
"step": 810
|
1020 |
},
|
1021 |
{
|
1022 |
-
"epoch": 1.
|
1023 |
-
"learning_rate": 1.
|
1024 |
-
"loss": 0.
|
1025 |
"step": 815
|
1026 |
},
|
1027 |
{
|
1028 |
-
"epoch": 1.
|
1029 |
-
"learning_rate": 1.
|
1030 |
-
"loss": 0.
|
1031 |
"step": 820
|
1032 |
},
|
1033 |
{
|
1034 |
-
"epoch": 1.
|
1035 |
-
"learning_rate": 1.
|
1036 |
-
"loss": 0.
|
1037 |
"step": 825
|
1038 |
},
|
1039 |
{
|
1040 |
-
"epoch": 1.
|
1041 |
-
"learning_rate": 1.
|
1042 |
-
"loss": 0.
|
1043 |
"step": 830
|
1044 |
},
|
1045 |
{
|
1046 |
-
"epoch": 1.
|
1047 |
-
"learning_rate": 1.
|
1048 |
-
"loss": 0.
|
1049 |
"step": 835
|
1050 |
},
|
1051 |
{
|
1052 |
-
"epoch": 1.
|
1053 |
-
"learning_rate": 1.
|
1054 |
-
"loss": 0.
|
1055 |
"step": 840
|
1056 |
},
|
1057 |
{
|
1058 |
-
"epoch": 1.
|
1059 |
-
"learning_rate": 1.
|
1060 |
-
"loss": 0.
|
1061 |
"step": 845
|
1062 |
},
|
1063 |
{
|
1064 |
-
"epoch": 1.
|
1065 |
-
"learning_rate": 1.
|
1066 |
-
"loss": 0.
|
1067 |
"step": 850
|
1068 |
},
|
1069 |
{
|
1070 |
-
"epoch": 1.
|
1071 |
-
"learning_rate": 1.
|
1072 |
-
"loss": 0.
|
1073 |
"step": 855
|
1074 |
},
|
1075 |
{
|
1076 |
-
"epoch": 1.
|
1077 |
-
"learning_rate": 1.
|
1078 |
-
"loss": 0.
|
1079 |
"step": 860
|
1080 |
},
|
1081 |
{
|
1082 |
-
"epoch": 1.
|
1083 |
-
"learning_rate": 1.
|
1084 |
-
"loss": 0.
|
1085 |
"step": 865
|
1086 |
},
|
1087 |
{
|
1088 |
-
"epoch": 1.
|
1089 |
-
"learning_rate": 1.
|
1090 |
-
"loss": 0.
|
1091 |
"step": 870
|
1092 |
},
|
1093 |
{
|
1094 |
-
"epoch": 1.
|
1095 |
-
"learning_rate": 1.
|
1096 |
-
"loss": 0.
|
1097 |
"step": 875
|
1098 |
},
|
1099 |
{
|
1100 |
-
"epoch": 1.
|
1101 |
-
"learning_rate": 1.
|
1102 |
-
"loss": 0.
|
1103 |
"step": 880
|
1104 |
},
|
1105 |
{
|
1106 |
-
"epoch": 1.
|
1107 |
-
"learning_rate": 1.
|
1108 |
-
"loss": 0.
|
1109 |
"step": 885
|
1110 |
},
|
1111 |
{
|
1112 |
-
"epoch": 1.
|
1113 |
-
"learning_rate": 1.
|
1114 |
-
"loss": 0.
|
1115 |
"step": 890
|
1116 |
},
|
1117 |
{
|
1118 |
-
"epoch": 1.
|
1119 |
-
"learning_rate": 1.
|
1120 |
-
"loss": 0.
|
1121 |
"step": 895
|
1122 |
},
|
1123 |
{
|
1124 |
-
"epoch": 1.
|
1125 |
-
"learning_rate": 1.
|
1126 |
-
"loss": 0.
|
1127 |
"step": 900
|
1128 |
},
|
1129 |
{
|
1130 |
-
"epoch": 1.
|
1131 |
-
"learning_rate": 1.
|
1132 |
-
"loss": 0.
|
1133 |
"step": 905
|
1134 |
},
|
1135 |
{
|
1136 |
-
"epoch": 1.
|
1137 |
-
"learning_rate": 1.
|
1138 |
-
"loss": 0.
|
1139 |
"step": 910
|
1140 |
},
|
1141 |
{
|
1142 |
-
"epoch": 1.
|
1143 |
-
"learning_rate": 1.
|
1144 |
-
"loss": 0.
|
1145 |
"step": 915
|
1146 |
},
|
1147 |
{
|
1148 |
-
"epoch": 1.
|
1149 |
-
"learning_rate": 1.
|
1150 |
-
"loss": 0.
|
1151 |
"step": 920
|
1152 |
},
|
1153 |
{
|
1154 |
-
"epoch": 1.
|
1155 |
-
"learning_rate": 1.
|
1156 |
-
"loss": 0.
|
1157 |
"step": 925
|
1158 |
},
|
1159 |
{
|
1160 |
-
"epoch": 1.
|
1161 |
-
"learning_rate": 1.
|
1162 |
-
"loss": 0.
|
1163 |
"step": 930
|
1164 |
},
|
1165 |
{
|
1166 |
-
"epoch": 1.
|
1167 |
-
"learning_rate": 1.
|
1168 |
-
"loss": 0.
|
1169 |
"step": 935
|
1170 |
},
|
1171 |
{
|
1172 |
-
"epoch": 1.
|
1173 |
-
"learning_rate": 1.
|
1174 |
-
"loss": 0.
|
1175 |
"step": 940
|
1176 |
},
|
1177 |
{
|
1178 |
-
"epoch": 1.
|
1179 |
-
"learning_rate": 1.
|
1180 |
-
"loss": 0.
|
1181 |
"step": 945
|
1182 |
},
|
1183 |
{
|
1184 |
-
"epoch": 1.
|
1185 |
-
"learning_rate": 1.
|
1186 |
-
"loss": 0.
|
1187 |
"step": 950
|
1188 |
},
|
1189 |
{
|
1190 |
-
"epoch": 1.
|
1191 |
-
"learning_rate": 1.
|
1192 |
-
"loss": 0.
|
1193 |
"step": 955
|
1194 |
},
|
1195 |
{
|
1196 |
-
"epoch": 1.
|
1197 |
-
"learning_rate": 1.
|
1198 |
-
"loss": 0.
|
1199 |
"step": 960
|
1200 |
},
|
1201 |
{
|
1202 |
-
"epoch": 1.
|
1203 |
-
"learning_rate":
|
1204 |
-
"loss": 0.
|
1205 |
"step": 965
|
1206 |
},
|
1207 |
{
|
1208 |
-
"epoch": 1.
|
1209 |
-
"learning_rate":
|
1210 |
-
"loss": 0.
|
1211 |
"step": 970
|
1212 |
},
|
1213 |
{
|
1214 |
-
"epoch": 1.
|
1215 |
-
"learning_rate":
|
1216 |
-
"loss": 0.
|
1217 |
"step": 975
|
1218 |
},
|
1219 |
{
|
1220 |
-
"epoch": 1.
|
1221 |
-
"learning_rate":
|
1222 |
-
"loss": 0.
|
1223 |
"step": 980
|
1224 |
},
|
1225 |
{
|
1226 |
-
"epoch": 1.
|
1227 |
-
"learning_rate":
|
1228 |
-
"loss": 0.
|
1229 |
"step": 985
|
1230 |
},
|
1231 |
{
|
1232 |
-
"epoch": 1.
|
1233 |
-
"learning_rate":
|
1234 |
-
"loss": 0.
|
1235 |
"step": 990
|
1236 |
},
|
1237 |
{
|
1238 |
-
"epoch": 1.
|
1239 |
-
"learning_rate":
|
1240 |
-
"loss": 0.
|
1241 |
"step": 995
|
1242 |
},
|
1243 |
{
|
1244 |
-
"epoch": 1.
|
1245 |
-
"learning_rate":
|
1246 |
-
"loss": 0.
|
1247 |
-
"step": 1000
|
1248 |
-
},
|
1249 |
-
{
|
1250 |
-
"epoch": 1.56,
|
1251 |
-
"eval_loss": 1.6513299942016602,
|
1252 |
-
"eval_runtime": 156.7333,
|
1253 |
-
"eval_samples_per_second": 10.719,
|
1254 |
-
"eval_steps_per_second": 0.115,
|
1255 |
"step": 1000
|
1256 |
},
|
1257 |
{
|
1258 |
-
"epoch": 1.
|
1259 |
-
"learning_rate":
|
1260 |
-
"loss": 0.
|
1261 |
"step": 1005
|
1262 |
},
|
1263 |
{
|
1264 |
-
"epoch": 1.
|
1265 |
-
"learning_rate":
|
1266 |
-
"loss": 0.
|
1267 |
"step": 1010
|
1268 |
},
|
1269 |
{
|
1270 |
-
"epoch": 1.
|
1271 |
-
"learning_rate":
|
1272 |
-
"loss": 0.
|
1273 |
"step": 1015
|
1274 |
},
|
1275 |
{
|
1276 |
-
"epoch": 1.
|
1277 |
-
"learning_rate":
|
1278 |
-
"loss": 0.
|
1279 |
"step": 1020
|
1280 |
},
|
1281 |
{
|
1282 |
-
"epoch": 1.
|
1283 |
-
"learning_rate":
|
1284 |
-
"loss": 0.
|
1285 |
"step": 1025
|
1286 |
},
|
1287 |
{
|
1288 |
-
"epoch": 1.
|
1289 |
-
"learning_rate":
|
1290 |
-
"loss": 0.
|
1291 |
"step": 1030
|
1292 |
},
|
1293 |
{
|
1294 |
-
"epoch": 1.
|
1295 |
-
"learning_rate":
|
1296 |
-
"loss": 0.
|
1297 |
"step": 1035
|
1298 |
},
|
1299 |
{
|
1300 |
-
"epoch": 1.
|
1301 |
-
"learning_rate":
|
1302 |
-
"loss": 0.
|
1303 |
"step": 1040
|
1304 |
},
|
1305 |
{
|
1306 |
-
"epoch": 1.
|
1307 |
-
"learning_rate":
|
1308 |
-
"loss": 0.
|
1309 |
"step": 1045
|
1310 |
},
|
1311 |
{
|
1312 |
-
"epoch": 1.
|
1313 |
-
"learning_rate":
|
1314 |
-
"loss": 0.
|
1315 |
"step": 1050
|
1316 |
},
|
1317 |
{
|
1318 |
-
"epoch": 1.
|
1319 |
-
"learning_rate":
|
1320 |
-
"loss": 0.
|
1321 |
"step": 1055
|
1322 |
},
|
1323 |
{
|
1324 |
-
"epoch": 1.
|
1325 |
-
"learning_rate":
|
1326 |
-
"loss": 0.
|
1327 |
"step": 1060
|
1328 |
},
|
1329 |
{
|
1330 |
-
"epoch": 1.
|
1331 |
-
"learning_rate":
|
1332 |
-
"loss": 0.
|
1333 |
"step": 1065
|
1334 |
},
|
1335 |
{
|
1336 |
-
"epoch": 1.
|
1337 |
-
"learning_rate":
|
1338 |
-
"loss": 0.
|
1339 |
"step": 1070
|
1340 |
},
|
1341 |
{
|
1342 |
-
"epoch": 1.
|
1343 |
-
"learning_rate":
|
1344 |
-
"loss": 0.
|
1345 |
"step": 1075
|
1346 |
},
|
1347 |
{
|
1348 |
-
"epoch": 1.
|
1349 |
-
"learning_rate":
|
1350 |
-
"loss": 0.
|
1351 |
"step": 1080
|
1352 |
},
|
1353 |
{
|
1354 |
-
"epoch": 1.
|
1355 |
-
"learning_rate":
|
1356 |
-
"loss": 0.
|
1357 |
"step": 1085
|
1358 |
},
|
1359 |
{
|
1360 |
-
"epoch": 1.
|
1361 |
-
"learning_rate":
|
1362 |
-
"loss": 0.
|
1363 |
"step": 1090
|
1364 |
},
|
1365 |
{
|
1366 |
-
"epoch": 1.
|
1367 |
-
"learning_rate":
|
1368 |
-
"loss": 0.
|
1369 |
"step": 1095
|
1370 |
},
|
1371 |
{
|
1372 |
-
"epoch": 1.
|
1373 |
-
"learning_rate":
|
1374 |
-
"loss": 0.
|
1375 |
"step": 1100
|
1376 |
},
|
1377 |
{
|
1378 |
-
"epoch": 1.
|
1379 |
-
"learning_rate":
|
1380 |
-
"loss": 0.
|
1381 |
"step": 1105
|
1382 |
},
|
1383 |
{
|
1384 |
-
"epoch": 1.
|
1385 |
-
"learning_rate":
|
1386 |
-
"loss": 0.
|
1387 |
"step": 1110
|
1388 |
},
|
1389 |
{
|
1390 |
-
"epoch": 1.
|
1391 |
-
"learning_rate":
|
1392 |
-
"loss": 0.
|
1393 |
"step": 1115
|
1394 |
},
|
1395 |
{
|
1396 |
-
"epoch": 1.
|
1397 |
-
"learning_rate":
|
1398 |
-
"loss": 0.
|
1399 |
"step": 1120
|
1400 |
},
|
1401 |
{
|
1402 |
-
"epoch": 1.
|
1403 |
-
"learning_rate":
|
1404 |
-
"loss": 0.
|
1405 |
"step": 1125
|
1406 |
},
|
1407 |
{
|
1408 |
-
"epoch": 1.
|
1409 |
-
"learning_rate":
|
1410 |
-
"loss": 0.
|
1411 |
"step": 1130
|
1412 |
},
|
1413 |
{
|
1414 |
-
"epoch": 1.
|
1415 |
-
"learning_rate":
|
1416 |
-
"loss": 0.
|
1417 |
"step": 1135
|
1418 |
},
|
1419 |
{
|
1420 |
-
"epoch": 1.
|
1421 |
-
"learning_rate":
|
1422 |
-
"loss": 0.
|
1423 |
"step": 1140
|
1424 |
},
|
1425 |
{
|
1426 |
-
"epoch": 1.
|
1427 |
-
"learning_rate":
|
1428 |
-
"loss": 0.
|
1429 |
"step": 1145
|
1430 |
},
|
1431 |
{
|
1432 |
-
"epoch": 1.
|
1433 |
-
"learning_rate":
|
1434 |
-
"loss": 0.
|
1435 |
"step": 1150
|
1436 |
},
|
1437 |
{
|
1438 |
-
"epoch": 1.
|
1439 |
-
"learning_rate":
|
1440 |
-
"loss": 0.
|
1441 |
"step": 1155
|
1442 |
},
|
1443 |
{
|
1444 |
-
"epoch": 1.
|
1445 |
-
"learning_rate":
|
1446 |
-
"loss": 0.
|
1447 |
"step": 1160
|
1448 |
},
|
1449 |
{
|
1450 |
-
"epoch":
|
1451 |
-
"
|
1452 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1453 |
"step": 1165
|
1454 |
},
|
1455 |
{
|
1456 |
-
"epoch":
|
1457 |
-
"learning_rate":
|
1458 |
-
"loss": 0.
|
1459 |
"step": 1170
|
1460 |
},
|
1461 |
{
|
1462 |
-
"epoch":
|
1463 |
-
"learning_rate":
|
1464 |
-
"loss": 0.
|
1465 |
"step": 1175
|
1466 |
},
|
1467 |
{
|
1468 |
-
"epoch":
|
1469 |
-
"learning_rate":
|
1470 |
-
"loss": 0.
|
1471 |
"step": 1180
|
1472 |
},
|
1473 |
{
|
1474 |
-
"epoch":
|
1475 |
-
"learning_rate":
|
1476 |
-
"loss": 0.
|
1477 |
"step": 1185
|
1478 |
},
|
1479 |
{
|
1480 |
-
"epoch":
|
1481 |
-
"learning_rate":
|
1482 |
-
"loss": 0.
|
1483 |
"step": 1190
|
1484 |
},
|
1485 |
{
|
1486 |
-
"epoch":
|
1487 |
-
"learning_rate":
|
1488 |
-
"loss": 0.
|
1489 |
"step": 1195
|
1490 |
},
|
1491 |
{
|
1492 |
-
"epoch":
|
1493 |
-
"learning_rate":
|
1494 |
-
"loss": 0.
|
1495 |
-
"step": 1200
|
1496 |
-
},
|
1497 |
-
{
|
1498 |
-
"epoch": 1.88,
|
1499 |
-
"eval_loss": 1.6570870876312256,
|
1500 |
-
"eval_runtime": 156.7819,
|
1501 |
-
"eval_samples_per_second": 10.716,
|
1502 |
-
"eval_steps_per_second": 0.115,
|
1503 |
"step": 1200
|
1504 |
},
|
1505 |
{
|
1506 |
-
"epoch":
|
1507 |
-
"learning_rate":
|
1508 |
-
"loss": 0.
|
1509 |
"step": 1205
|
1510 |
},
|
1511 |
{
|
1512 |
-
"epoch":
|
1513 |
-
"learning_rate":
|
1514 |
-
"loss": 0.
|
1515 |
"step": 1210
|
1516 |
},
|
1517 |
{
|
1518 |
-
"epoch":
|
1519 |
-
"learning_rate":
|
1520 |
-
"loss": 0.
|
1521 |
"step": 1215
|
1522 |
},
|
1523 |
{
|
1524 |
-
"epoch": 1
|
1525 |
-
"learning_rate":
|
1526 |
-
"loss": 0.
|
1527 |
"step": 1220
|
1528 |
},
|
1529 |
{
|
1530 |
-
"epoch": 1
|
1531 |
-
"learning_rate":
|
1532 |
-
"loss": 0.
|
1533 |
"step": 1225
|
1534 |
},
|
1535 |
{
|
1536 |
-
"epoch":
|
1537 |
-
"learning_rate":
|
1538 |
-
"loss": 0.
|
1539 |
"step": 1230
|
1540 |
},
|
1541 |
{
|
1542 |
-
"epoch":
|
1543 |
-
"learning_rate":
|
1544 |
-
"loss": 0.
|
1545 |
"step": 1235
|
1546 |
},
|
1547 |
{
|
1548 |
-
"epoch":
|
1549 |
-
"learning_rate":
|
1550 |
-
"loss": 0.
|
1551 |
"step": 1240
|
1552 |
},
|
1553 |
{
|
1554 |
-
"epoch":
|
1555 |
-
"learning_rate":
|
1556 |
-
"loss": 0.
|
1557 |
"step": 1245
|
1558 |
},
|
1559 |
{
|
1560 |
-
"epoch":
|
1561 |
-
"learning_rate":
|
1562 |
-
"loss": 0.
|
1563 |
"step": 1250
|
1564 |
},
|
1565 |
{
|
1566 |
-
"epoch":
|
1567 |
-
"learning_rate":
|
1568 |
-
"loss": 0.
|
1569 |
"step": 1255
|
1570 |
},
|
1571 |
{
|
1572 |
-
"epoch":
|
1573 |
-
"learning_rate":
|
1574 |
-
"loss": 0.
|
1575 |
"step": 1260
|
1576 |
},
|
1577 |
{
|
1578 |
-
"epoch":
|
1579 |
-
"learning_rate":
|
1580 |
-
"loss": 0.
|
1581 |
"step": 1265
|
1582 |
},
|
1583 |
{
|
1584 |
-
"epoch":
|
1585 |
-
"learning_rate":
|
1586 |
-
"loss": 0.
|
1587 |
"step": 1270
|
1588 |
},
|
1589 |
{
|
1590 |
-
"epoch":
|
1591 |
-
"learning_rate":
|
1592 |
-
"loss": 0.
|
1593 |
"step": 1275
|
1594 |
},
|
1595 |
{
|
1596 |
-
"epoch": 2.
|
1597 |
-
"learning_rate":
|
1598 |
-
"loss": 0.
|
1599 |
"step": 1280
|
1600 |
},
|
1601 |
{
|
1602 |
-
"epoch": 2.
|
1603 |
-
"learning_rate":
|
1604 |
-
"loss": 0.
|
1605 |
"step": 1285
|
1606 |
},
|
1607 |
{
|
1608 |
-
"epoch": 2.
|
1609 |
-
"learning_rate":
|
1610 |
-
"loss": 0.
|
1611 |
"step": 1290
|
1612 |
},
|
1613 |
{
|
1614 |
-
"epoch": 2.
|
1615 |
-
"learning_rate":
|
1616 |
-
"loss": 0.
|
1617 |
"step": 1295
|
1618 |
},
|
1619 |
{
|
1620 |
-
"epoch": 2.
|
1621 |
-
"learning_rate":
|
1622 |
-
"loss": 0.
|
1623 |
"step": 1300
|
1624 |
},
|
1625 |
{
|
1626 |
-
"epoch": 2.
|
1627 |
-
"learning_rate":
|
1628 |
-
"loss": 0.
|
1629 |
"step": 1305
|
1630 |
},
|
1631 |
{
|
1632 |
-
"epoch": 2.
|
1633 |
-
"learning_rate":
|
1634 |
-
"loss": 0.
|
1635 |
"step": 1310
|
1636 |
},
|
1637 |
{
|
1638 |
-
"epoch": 2.
|
1639 |
-
"learning_rate":
|
1640 |
-
"loss": 0.
|
1641 |
"step": 1315
|
1642 |
},
|
1643 |
{
|
1644 |
-
"epoch": 2.
|
1645 |
-
"learning_rate":
|
1646 |
-
"loss": 0.
|
1647 |
"step": 1320
|
1648 |
},
|
1649 |
{
|
1650 |
-
"epoch": 2.
|
1651 |
-
"learning_rate":
|
1652 |
-
"loss": 0.
|
1653 |
"step": 1325
|
1654 |
},
|
1655 |
{
|
1656 |
-
"epoch": 2.
|
1657 |
-
"learning_rate":
|
1658 |
-
"loss": 0.
|
1659 |
"step": 1330
|
1660 |
},
|
1661 |
{
|
1662 |
-
"epoch": 2.
|
1663 |
-
"learning_rate":
|
1664 |
-
"loss": 0.
|
1665 |
"step": 1335
|
1666 |
},
|
1667 |
{
|
1668 |
-
"epoch": 2.
|
1669 |
-
"learning_rate":
|
1670 |
-
"loss": 0.
|
1671 |
"step": 1340
|
1672 |
},
|
1673 |
{
|
1674 |
-
"epoch": 2.
|
1675 |
-
"learning_rate":
|
1676 |
-
"loss": 0.
|
1677 |
"step": 1345
|
1678 |
},
|
1679 |
{
|
1680 |
-
"epoch": 2.
|
1681 |
-
"learning_rate":
|
1682 |
-
"loss": 0.
|
1683 |
"step": 1350
|
1684 |
},
|
1685 |
{
|
1686 |
-
"epoch": 2.
|
1687 |
-
"learning_rate":
|
1688 |
-
"loss": 0.
|
1689 |
"step": 1355
|
1690 |
},
|
1691 |
{
|
1692 |
-
"epoch": 2.
|
1693 |
-
"learning_rate":
|
1694 |
-
"loss": 0.
|
1695 |
"step": 1360
|
1696 |
},
|
1697 |
{
|
1698 |
-
"epoch": 2.
|
1699 |
-
"learning_rate":
|
1700 |
-
"loss": 0.
|
1701 |
"step": 1365
|
1702 |
},
|
1703 |
{
|
1704 |
-
"epoch": 2.
|
1705 |
-
"learning_rate":
|
1706 |
-
"loss": 0.
|
1707 |
"step": 1370
|
1708 |
},
|
1709 |
{
|
1710 |
-
"epoch": 2.
|
1711 |
-
"learning_rate":
|
1712 |
-
"loss": 0.
|
1713 |
"step": 1375
|
1714 |
},
|
1715 |
{
|
1716 |
-
"epoch": 2.
|
1717 |
-
"learning_rate":
|
1718 |
-
"loss": 0.
|
1719 |
"step": 1380
|
1720 |
},
|
1721 |
{
|
1722 |
-
"epoch": 2.
|
1723 |
-
"learning_rate":
|
1724 |
-
"loss": 0.
|
1725 |
"step": 1385
|
1726 |
},
|
1727 |
{
|
1728 |
-
"epoch": 2.
|
1729 |
-
"learning_rate":
|
1730 |
-
"loss": 0.
|
1731 |
"step": 1390
|
1732 |
},
|
1733 |
{
|
1734 |
-
"epoch": 2.
|
1735 |
-
"learning_rate":
|
1736 |
-
"loss": 0.
|
1737 |
"step": 1395
|
1738 |
},
|
1739 |
{
|
1740 |
-
"epoch": 2.
|
1741 |
-
"learning_rate":
|
1742 |
-
"loss": 0.
|
1743 |
-
"step": 1400
|
1744 |
-
},
|
1745 |
-
{
|
1746 |
-
"epoch": 2.19,
|
1747 |
-
"eval_loss": 1.7886532545089722,
|
1748 |
-
"eval_runtime": 156.7662,
|
1749 |
-
"eval_samples_per_second": 10.717,
|
1750 |
-
"eval_steps_per_second": 0.115,
|
1751 |
"step": 1400
|
1752 |
},
|
1753 |
{
|
1754 |
-
"epoch": 2.
|
1755 |
-
"learning_rate":
|
1756 |
-
"loss": 0.
|
1757 |
"step": 1405
|
1758 |
},
|
1759 |
{
|
1760 |
-
"epoch": 2.
|
1761 |
-
"learning_rate":
|
1762 |
-
"loss": 0.
|
1763 |
"step": 1410
|
1764 |
},
|
1765 |
{
|
1766 |
-
"epoch": 2.
|
1767 |
-
"learning_rate":
|
1768 |
-
"loss": 0.
|
1769 |
"step": 1415
|
1770 |
},
|
1771 |
{
|
1772 |
-
"epoch": 2.
|
1773 |
-
"learning_rate":
|
1774 |
-
"loss": 0.
|
1775 |
"step": 1420
|
1776 |
},
|
1777 |
{
|
1778 |
-
"epoch": 2.
|
1779 |
-
"learning_rate":
|
1780 |
-
"loss": 0.
|
1781 |
"step": 1425
|
1782 |
},
|
1783 |
{
|
1784 |
-
"epoch": 2.
|
1785 |
-
"learning_rate":
|
1786 |
-
"loss": 0.
|
1787 |
"step": 1430
|
1788 |
},
|
1789 |
{
|
1790 |
-
"epoch": 2.
|
1791 |
-
"learning_rate":
|
1792 |
-
"loss": 0.
|
1793 |
"step": 1435
|
1794 |
},
|
1795 |
{
|
1796 |
-
"epoch": 2.
|
1797 |
-
"learning_rate":
|
1798 |
-
"loss": 0.
|
1799 |
"step": 1440
|
1800 |
},
|
1801 |
{
|
1802 |
-
"epoch": 2.
|
1803 |
-
"learning_rate":
|
1804 |
-
"loss": 0.
|
1805 |
"step": 1445
|
1806 |
},
|
1807 |
{
|
1808 |
-
"epoch": 2.
|
1809 |
-
"learning_rate":
|
1810 |
-
"loss": 0.
|
1811 |
"step": 1450
|
1812 |
},
|
1813 |
{
|
1814 |
-
"epoch": 2.
|
1815 |
-
"learning_rate":
|
1816 |
-
"loss": 0.
|
1817 |
"step": 1455
|
1818 |
},
|
1819 |
{
|
1820 |
-
"epoch": 2.
|
1821 |
-
"learning_rate":
|
1822 |
-
"loss": 0.
|
1823 |
"step": 1460
|
1824 |
},
|
1825 |
{
|
1826 |
-
"epoch": 2.
|
1827 |
-
"learning_rate":
|
1828 |
-
"loss": 0.
|
1829 |
"step": 1465
|
1830 |
},
|
1831 |
{
|
1832 |
-
"epoch": 2.
|
1833 |
-
"learning_rate":
|
1834 |
-
"loss": 0.
|
1835 |
"step": 1470
|
1836 |
},
|
1837 |
{
|
1838 |
-
"epoch": 2.
|
1839 |
-
"learning_rate":
|
1840 |
-
"loss": 0.
|
1841 |
"step": 1475
|
1842 |
},
|
1843 |
{
|
1844 |
-
"epoch": 2.
|
1845 |
-
"learning_rate":
|
1846 |
-
"loss": 0.
|
1847 |
"step": 1480
|
1848 |
},
|
1849 |
{
|
1850 |
-
"epoch": 2.
|
1851 |
-
"learning_rate":
|
1852 |
-
"loss": 0.
|
1853 |
"step": 1485
|
1854 |
},
|
1855 |
{
|
1856 |
-
"epoch": 2.
|
1857 |
-
"learning_rate":
|
1858 |
-
"loss": 0.
|
1859 |
"step": 1490
|
1860 |
},
|
1861 |
{
|
1862 |
-
"epoch": 2.
|
1863 |
-
"learning_rate":
|
1864 |
-
"loss": 0.
|
1865 |
"step": 1495
|
1866 |
},
|
1867 |
{
|
1868 |
-
"epoch": 2.
|
1869 |
-
"learning_rate":
|
1870 |
-
"loss": 0.
|
1871 |
"step": 1500
|
1872 |
},
|
1873 |
{
|
1874 |
-
"epoch": 2.
|
1875 |
-
"learning_rate":
|
1876 |
-
"loss": 0.
|
1877 |
"step": 1505
|
1878 |
},
|
1879 |
{
|
1880 |
-
"epoch": 2.
|
1881 |
-
"learning_rate":
|
1882 |
-
"loss": 0.
|
1883 |
"step": 1510
|
1884 |
},
|
1885 |
{
|
1886 |
-
"epoch": 2.
|
1887 |
-
"learning_rate":
|
1888 |
-
"loss": 0.
|
1889 |
"step": 1515
|
1890 |
},
|
1891 |
{
|
1892 |
-
"epoch": 2.
|
1893 |
-
"learning_rate":
|
1894 |
-
"loss": 0.
|
1895 |
"step": 1520
|
1896 |
},
|
1897 |
{
|
1898 |
-
"epoch": 2.
|
1899 |
-
"learning_rate":
|
1900 |
-
"loss": 0.
|
1901 |
"step": 1525
|
1902 |
},
|
1903 |
{
|
1904 |
-
"epoch": 2.
|
1905 |
-
"learning_rate":
|
1906 |
-
"loss": 0.
|
1907 |
"step": 1530
|
1908 |
},
|
1909 |
{
|
1910 |
-
"epoch": 2.
|
1911 |
-
"learning_rate":
|
1912 |
-
"loss": 0.
|
1913 |
"step": 1535
|
1914 |
},
|
1915 |
{
|
1916 |
-
"epoch": 2.
|
1917 |
-
"learning_rate":
|
1918 |
-
"loss": 0.
|
1919 |
"step": 1540
|
1920 |
},
|
1921 |
{
|
1922 |
-
"epoch": 2.
|
1923 |
-
"learning_rate":
|
1924 |
-
"loss": 0.
|
1925 |
"step": 1545
|
1926 |
},
|
1927 |
{
|
1928 |
-
"epoch": 2.
|
1929 |
-
"learning_rate":
|
1930 |
-
"loss": 0.
|
1931 |
"step": 1550
|
1932 |
},
|
1933 |
{
|
1934 |
-
"epoch": 2.
|
1935 |
-
"learning_rate":
|
1936 |
-
"loss": 0.
|
1937 |
"step": 1555
|
1938 |
},
|
1939 |
{
|
1940 |
-
"epoch": 2.
|
1941 |
-
"learning_rate":
|
1942 |
-
"loss": 0.
|
1943 |
"step": 1560
|
1944 |
},
|
1945 |
{
|
1946 |
-
"epoch": 2.
|
1947 |
-
"learning_rate":
|
1948 |
-
"loss": 0.
|
1949 |
"step": 1565
|
1950 |
},
|
1951 |
{
|
1952 |
-
"epoch": 2.
|
1953 |
-
"learning_rate":
|
1954 |
-
"loss": 0.
|
1955 |
"step": 1570
|
1956 |
},
|
1957 |
{
|
1958 |
-
"epoch": 2.
|
1959 |
-
"learning_rate":
|
1960 |
-
"loss": 0.
|
1961 |
"step": 1575
|
1962 |
},
|
1963 |
{
|
1964 |
-
"epoch": 2.
|
1965 |
-
"learning_rate":
|
1966 |
-
"loss": 0.
|
1967 |
"step": 1580
|
1968 |
},
|
1969 |
{
|
1970 |
-
"epoch": 2.
|
1971 |
-
"learning_rate":
|
1972 |
-
"loss": 0.
|
1973 |
"step": 1585
|
1974 |
},
|
1975 |
{
|
1976 |
-
"epoch": 2.
|
1977 |
-
"learning_rate":
|
1978 |
-
"loss": 0.
|
1979 |
"step": 1590
|
1980 |
},
|
1981 |
{
|
1982 |
-
"epoch": 2.
|
1983 |
-
"learning_rate":
|
1984 |
-
"loss": 0.
|
1985 |
"step": 1595
|
1986 |
},
|
1987 |
{
|
1988 |
-
"epoch": 2.
|
1989 |
-
"learning_rate":
|
1990 |
-
"loss": 0.
|
1991 |
-
"step": 1600
|
1992 |
-
},
|
1993 |
-
{
|
1994 |
-
"epoch": 2.5,
|
1995 |
-
"eval_loss": 1.8198195695877075,
|
1996 |
-
"eval_runtime": 156.7807,
|
1997 |
-
"eval_samples_per_second": 10.716,
|
1998 |
-
"eval_steps_per_second": 0.115,
|
1999 |
"step": 1600
|
2000 |
},
|
2001 |
{
|
2002 |
-
"epoch": 2.
|
2003 |
-
"learning_rate":
|
2004 |
-
"loss": 0.
|
2005 |
"step": 1605
|
2006 |
},
|
2007 |
{
|
2008 |
-
"epoch": 2.
|
2009 |
-
"learning_rate":
|
2010 |
-
"loss": 0.
|
2011 |
"step": 1610
|
2012 |
},
|
2013 |
{
|
2014 |
-
"epoch": 2.
|
2015 |
-
"learning_rate":
|
2016 |
-
"loss": 0.
|
2017 |
"step": 1615
|
2018 |
},
|
2019 |
{
|
2020 |
-
"epoch": 2.
|
2021 |
-
"learning_rate":
|
2022 |
-
"loss": 0.
|
2023 |
"step": 1620
|
2024 |
},
|
2025 |
{
|
2026 |
-
"epoch": 2.
|
2027 |
-
"learning_rate":
|
2028 |
-
"loss": 0.
|
2029 |
"step": 1625
|
2030 |
},
|
2031 |
{
|
2032 |
-
"epoch": 2.
|
2033 |
-
"learning_rate":
|
2034 |
-
"loss": 0.
|
2035 |
"step": 1630
|
2036 |
},
|
2037 |
{
|
2038 |
-
"epoch": 2.
|
2039 |
-
"learning_rate":
|
2040 |
-
"loss": 0.
|
2041 |
"step": 1635
|
2042 |
},
|
2043 |
{
|
2044 |
-
"epoch": 2.
|
2045 |
-
"learning_rate":
|
2046 |
-
"loss": 0.
|
2047 |
"step": 1640
|
2048 |
},
|
2049 |
{
|
2050 |
-
"epoch": 2.
|
2051 |
-
"learning_rate":
|
2052 |
-
"loss": 0.
|
2053 |
"step": 1645
|
2054 |
},
|
2055 |
{
|
2056 |
-
"epoch": 2.
|
2057 |
-
"learning_rate": 1.
|
2058 |
-
"loss": 0.
|
2059 |
"step": 1650
|
2060 |
},
|
2061 |
{
|
2062 |
-
"epoch": 2.
|
2063 |
-
"learning_rate": 1.
|
2064 |
-
"loss": 0.
|
2065 |
"step": 1655
|
2066 |
},
|
2067 |
{
|
2068 |
-
"epoch": 2.
|
2069 |
-
"learning_rate": 1.
|
2070 |
-
"loss": 0.
|
2071 |
"step": 1660
|
2072 |
},
|
2073 |
{
|
2074 |
-
"epoch": 2.
|
2075 |
-
"learning_rate": 1.
|
2076 |
-
"loss": 0.
|
2077 |
"step": 1665
|
2078 |
},
|
2079 |
{
|
2080 |
-
"epoch": 2.
|
2081 |
-
"learning_rate":
|
2082 |
-
"loss": 0.
|
2083 |
"step": 1670
|
2084 |
},
|
2085 |
{
|
2086 |
-
"epoch": 2.
|
2087 |
-
"learning_rate":
|
2088 |
-
"loss": 0.
|
2089 |
"step": 1675
|
2090 |
},
|
2091 |
{
|
2092 |
-
"epoch": 2.
|
2093 |
-
"learning_rate":
|
2094 |
-
"loss": 0.
|
2095 |
"step": 1680
|
2096 |
},
|
2097 |
{
|
2098 |
-
"epoch": 2.
|
2099 |
-
"learning_rate":
|
2100 |
-
"loss": 0.
|
2101 |
"step": 1685
|
2102 |
},
|
2103 |
{
|
2104 |
-
"epoch": 2.
|
2105 |
-
"learning_rate":
|
2106 |
-
"loss": 0.
|
2107 |
"step": 1690
|
2108 |
},
|
2109 |
{
|
2110 |
-
"epoch": 2.
|
2111 |
-
"learning_rate":
|
2112 |
-
"loss": 0.
|
2113 |
"step": 1695
|
2114 |
},
|
2115 |
{
|
2116 |
-
"epoch": 2.
|
2117 |
-
"learning_rate":
|
2118 |
-
"loss": 0.
|
2119 |
"step": 1700
|
2120 |
},
|
2121 |
{
|
2122 |
-
"epoch": 2.
|
2123 |
-
"learning_rate":
|
2124 |
-
"loss": 0.
|
2125 |
"step": 1705
|
2126 |
},
|
2127 |
{
|
2128 |
-
"epoch": 2.
|
2129 |
-
"learning_rate":
|
2130 |
-
"loss": 0.
|
2131 |
"step": 1710
|
2132 |
},
|
2133 |
{
|
2134 |
-
"epoch": 2.
|
2135 |
-
"learning_rate":
|
2136 |
-
"loss": 0.
|
2137 |
"step": 1715
|
2138 |
},
|
2139 |
{
|
2140 |
-
"epoch": 2.
|
2141 |
-
"learning_rate":
|
2142 |
-
"loss": 0.
|
2143 |
"step": 1720
|
2144 |
},
|
2145 |
{
|
2146 |
-
"epoch": 2.
|
2147 |
-
"learning_rate":
|
2148 |
-
"loss": 0.
|
2149 |
"step": 1725
|
2150 |
},
|
2151 |
{
|
2152 |
-
"epoch": 2.
|
2153 |
-
"learning_rate": 5.
|
2154 |
-
"loss": 0.
|
2155 |
"step": 1730
|
2156 |
},
|
2157 |
{
|
2158 |
-
"epoch": 2.
|
2159 |
-
"learning_rate":
|
2160 |
-
"loss": 0.
|
2161 |
"step": 1735
|
2162 |
},
|
2163 |
{
|
2164 |
-
"epoch": 2.
|
2165 |
-
"learning_rate":
|
2166 |
-
"loss": 0.
|
2167 |
"step": 1740
|
2168 |
},
|
2169 |
{
|
2170 |
-
"epoch":
|
2171 |
-
"learning_rate":
|
2172 |
-
"loss": 0.
|
2173 |
"step": 1745
|
2174 |
},
|
2175 |
{
|
2176 |
-
"epoch":
|
2177 |
-
"
|
2178 |
-
"
|
2179 |
-
"
|
2180 |
-
|
2181 |
-
|
2182 |
-
"epoch": 2.74,
|
2183 |
-
"learning_rate": 4.3208478307738e-07,
|
2184 |
-
"loss": 0.3614,
|
2185 |
-
"step": 1755
|
2186 |
-
},
|
2187 |
-
{
|
2188 |
-
"epoch": 2.75,
|
2189 |
-
"learning_rate": 4.0600368992376074e-07,
|
2190 |
-
"loss": 0.3555,
|
2191 |
-
"step": 1760
|
2192 |
-
},
|
2193 |
-
{
|
2194 |
-
"epoch": 2.76,
|
2195 |
-
"learning_rate": 3.8071812959016965e-07,
|
2196 |
-
"loss": 0.3618,
|
2197 |
-
"step": 1765
|
2198 |
-
},
|
2199 |
-
{
|
2200 |
-
"epoch": 2.77,
|
2201 |
-
"learning_rate": 3.5623019875169916e-07,
|
2202 |
-
"loss": 0.3667,
|
2203 |
-
"step": 1770
|
2204 |
-
},
|
2205 |
-
{
|
2206 |
-
"epoch": 2.78,
|
2207 |
-
"learning_rate": 3.325419279441211e-07,
|
2208 |
-
"loss": 0.364,
|
2209 |
-
"step": 1775
|
2210 |
-
},
|
2211 |
-
{
|
2212 |
-
"epoch": 2.78,
|
2213 |
-
"learning_rate": 3.096552813955045e-07,
|
2214 |
-
"loss": 0.3693,
|
2215 |
-
"step": 1780
|
2216 |
-
},
|
2217 |
-
{
|
2218 |
-
"epoch": 2.79,
|
2219 |
-
"learning_rate": 2.875721568633527e-07,
|
2220 |
-
"loss": 0.3265,
|
2221 |
-
"step": 1785
|
2222 |
-
},
|
2223 |
-
{
|
2224 |
-
"epoch": 2.8,
|
2225 |
-
"learning_rate": 2.6629438547723484e-07,
|
2226 |
-
"loss": 0.3447,
|
2227 |
-
"step": 1790
|
2228 |
-
},
|
2229 |
-
{
|
2230 |
-
"epoch": 2.81,
|
2231 |
-
"learning_rate": 2.458237315869527e-07,
|
2232 |
-
"loss": 0.3602,
|
2233 |
-
"step": 1795
|
2234 |
-
},
|
2235 |
-
{
|
2236 |
-
"epoch": 2.81,
|
2237 |
-
"learning_rate": 2.2616189261623568e-07,
|
2238 |
-
"loss": 0.3506,
|
2239 |
-
"step": 1800
|
2240 |
-
},
|
2241 |
-
{
|
2242 |
-
"epoch": 2.81,
|
2243 |
-
"eval_loss": 1.8299107551574707,
|
2244 |
-
"eval_runtime": 156.7929,
|
2245 |
-
"eval_samples_per_second": 10.715,
|
2246 |
-
"eval_steps_per_second": 0.115,
|
2247 |
-
"step": 1800
|
2248 |
-
},
|
2249 |
-
{
|
2250 |
-
"epoch": 2.82,
|
2251 |
-
"learning_rate": 2.0731049892199873e-07,
|
2252 |
-
"loss": 0.3721,
|
2253 |
-
"step": 1805
|
2254 |
-
},
|
2255 |
-
{
|
2256 |
-
"epoch": 2.83,
|
2257 |
-
"learning_rate": 1.8927111365914297e-07,
|
2258 |
-
"loss": 0.3383,
|
2259 |
-
"step": 1810
|
2260 |
-
},
|
2261 |
-
{
|
2262 |
-
"epoch": 2.84,
|
2263 |
-
"learning_rate": 1.7204523265095252e-07,
|
2264 |
-
"loss": 0.3455,
|
2265 |
-
"step": 1815
|
2266 |
-
},
|
2267 |
-
{
|
2268 |
-
"epoch": 2.85,
|
2269 |
-
"learning_rate": 1.55634284265046e-07,
|
2270 |
-
"loss": 0.3635,
|
2271 |
-
"step": 1820
|
2272 |
-
},
|
2273 |
-
{
|
2274 |
-
"epoch": 2.85,
|
2275 |
-
"learning_rate": 1.400396292949513e-07,
|
2276 |
-
"loss": 0.3151,
|
2277 |
-
"step": 1825
|
2278 |
-
},
|
2279 |
-
{
|
2280 |
-
"epoch": 2.86,
|
2281 |
-
"learning_rate": 1.2526256084725351e-07,
|
2282 |
-
"loss": 0.3347,
|
2283 |
-
"step": 1830
|
2284 |
-
},
|
2285 |
-
{
|
2286 |
-
"epoch": 2.87,
|
2287 |
-
"learning_rate": 1.1130430423438642e-07,
|
2288 |
-
"loss": 0.3795,
|
2289 |
-
"step": 1835
|
2290 |
-
},
|
2291 |
-
{
|
2292 |
-
"epoch": 2.88,
|
2293 |
-
"learning_rate": 9.816601687301585e-08,
|
2294 |
-
"loss": 0.3486,
|
2295 |
-
"step": 1840
|
2296 |
-
},
|
2297 |
-
{
|
2298 |
-
"epoch": 2.89,
|
2299 |
-
"learning_rate": 8.584878818807652e-08,
|
2300 |
-
"loss": 0.3646,
|
2301 |
-
"step": 1845
|
2302 |
-
},
|
2303 |
-
{
|
2304 |
-
"epoch": 2.89,
|
2305 |
-
"learning_rate": 7.435363952243313e-08,
|
2306 |
-
"loss": 0.3665,
|
2307 |
-
"step": 1850
|
2308 |
-
},
|
2309 |
-
{
|
2310 |
-
"epoch": 2.9,
|
2311 |
-
"learning_rate": 6.368152405219042e-08,
|
2312 |
-
"loss": 0.3876,
|
2313 |
-
"step": 1855
|
2314 |
-
},
|
2315 |
-
{
|
2316 |
-
"epoch": 2.91,
|
2317 |
-
"learning_rate": 5.3833326707656284e-08,
|
2318 |
-
"loss": 0.3748,
|
2319 |
-
"step": 1860
|
2320 |
-
},
|
2321 |
-
{
|
2322 |
-
"epoch": 2.92,
|
2323 |
-
"learning_rate": 4.4809864099965014e-08,
|
2324 |
-
"loss": 0.3486,
|
2325 |
-
"step": 1865
|
2326 |
-
},
|
2327 |
-
{
|
2328 |
-
"epoch": 2.92,
|
2329 |
-
"learning_rate": 3.661188445336361e-08,
|
2330 |
-
"loss": 0.3427,
|
2331 |
-
"step": 1870
|
2332 |
-
},
|
2333 |
-
{
|
2334 |
-
"epoch": 2.93,
|
2335 |
-
"learning_rate": 2.9240067543165883e-08,
|
2336 |
-
"loss": 0.3381,
|
2337 |
-
"step": 1875
|
2338 |
-
},
|
2339 |
-
{
|
2340 |
-
"epoch": 2.94,
|
2341 |
-
"learning_rate": 2.2695024639390884e-08,
|
2342 |
-
"loss": 0.3717,
|
2343 |
-
"step": 1880
|
2344 |
-
},
|
2345 |
-
{
|
2346 |
-
"epoch": 2.95,
|
2347 |
-
"learning_rate": 1.697729845607121e-08,
|
2348 |
-
"loss": 0.3411,
|
2349 |
-
"step": 1885
|
2350 |
-
},
|
2351 |
-
{
|
2352 |
-
"epoch": 2.96,
|
2353 |
-
"learning_rate": 1.20873631062568e-08,
|
2354 |
-
"loss": 0.3595,
|
2355 |
-
"step": 1890
|
2356 |
-
},
|
2357 |
-
{
|
2358 |
-
"epoch": 2.96,
|
2359 |
-
"learning_rate": 8.025624062695247e-09,
|
2360 |
-
"loss": 0.3628,
|
2361 |
-
"step": 1895
|
2362 |
-
},
|
2363 |
-
{
|
2364 |
-
"epoch": 2.97,
|
2365 |
-
"learning_rate": 4.792418124214271e-09,
|
2366 |
-
"loss": 0.3785,
|
2367 |
-
"step": 1900
|
2368 |
-
},
|
2369 |
-
{
|
2370 |
-
"epoch": 2.98,
|
2371 |
-
"learning_rate": 2.3880133877962617e-09,
|
2372 |
-
"loss": 0.3523,
|
2373 |
-
"step": 1905
|
2374 |
-
},
|
2375 |
-
{
|
2376 |
-
"epoch": 2.99,
|
2377 |
-
"learning_rate": 8.126092263405217e-10,
|
2378 |
-
"loss": 0.3398,
|
2379 |
-
"step": 1910
|
2380 |
-
},
|
2381 |
-
{
|
2382 |
-
"epoch": 2.99,
|
2383 |
-
"learning_rate": 6.633627213870064e-11,
|
2384 |
-
"loss": 0.3745,
|
2385 |
-
"step": 1915
|
2386 |
},
|
2387 |
{
|
2388 |
"epoch": 3.0,
|
2389 |
-
"step":
|
2390 |
-
"total_flos":
|
2391 |
-
"train_loss": 0.
|
2392 |
-
"train_runtime":
|
2393 |
-
"train_samples_per_second":
|
2394 |
-
"train_steps_per_second": 0.
|
2395 |
}
|
2396 |
],
|
2397 |
"logging_steps": 5,
|
2398 |
-
"max_steps":
|
2399 |
"num_train_epochs": 3,
|
2400 |
-
"save_steps":
|
2401 |
-
"total_flos":
|
2402 |
"trial_name": null,
|
2403 |
"trial_params": null
|
2404 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1746,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.0,
|
13 |
+
"learning_rate": 1.142857142857143e-07,
|
14 |
+
"loss": 2.7168,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.01,
|
19 |
+
"learning_rate": 5.714285714285715e-07,
|
20 |
+
"loss": 2.5728,
|
21 |
"step": 5
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.02,
|
25 |
+
"learning_rate": 1.142857142857143e-06,
|
26 |
+
"loss": 2.5422,
|
27 |
"step": 10
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.03,
|
31 |
+
"learning_rate": 1.7142857142857145e-06,
|
32 |
+
"loss": 2.3792,
|
33 |
"step": 15
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.03,
|
37 |
+
"learning_rate": 2.285714285714286e-06,
|
38 |
+
"loss": 2.2176,
|
39 |
"step": 20
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.04,
|
43 |
+
"learning_rate": 2.8571428571428573e-06,
|
44 |
+
"loss": 1.9282,
|
45 |
"step": 25
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.05,
|
49 |
+
"learning_rate": 3.428571428571429e-06,
|
50 |
+
"loss": 1.7601,
|
51 |
"step": 30
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.06,
|
55 |
+
"learning_rate": 4.000000000000001e-06,
|
56 |
+
"loss": 1.6887,
|
57 |
"step": 35
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.07,
|
61 |
+
"learning_rate": 4.571428571428572e-06,
|
62 |
+
"loss": 1.6597,
|
63 |
"step": 40
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.08,
|
67 |
+
"learning_rate": 5.142857142857142e-06,
|
68 |
+
"loss": 1.5152,
|
69 |
"step": 45
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 0.09,
|
73 |
+
"learning_rate": 5.7142857142857145e-06,
|
74 |
+
"loss": 1.5448,
|
75 |
"step": 50
|
76 |
},
|
77 |
{
|
78 |
"epoch": 0.09,
|
79 |
+
"learning_rate": 6.285714285714286e-06,
|
80 |
+
"loss": 1.5993,
|
81 |
"step": 55
|
82 |
},
|
83 |
{
|
84 |
+
"epoch": 0.1,
|
85 |
+
"learning_rate": 6.857142857142858e-06,
|
86 |
+
"loss": 1.5941,
|
87 |
"step": 60
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 0.11,
|
91 |
+
"learning_rate": 7.428571428571429e-06,
|
92 |
+
"loss": 1.5832,
|
93 |
"step": 65
|
94 |
},
|
95 |
{
|
96 |
+
"epoch": 0.12,
|
97 |
+
"learning_rate": 8.000000000000001e-06,
|
98 |
+
"loss": 1.5369,
|
99 |
"step": 70
|
100 |
},
|
101 |
{
|
102 |
+
"epoch": 0.13,
|
103 |
+
"learning_rate": 8.571428571428571e-06,
|
104 |
+
"loss": 1.4847,
|
105 |
"step": 75
|
106 |
},
|
107 |
{
|
108 |
+
"epoch": 0.14,
|
109 |
+
"learning_rate": 9.142857142857144e-06,
|
110 |
+
"loss": 1.544,
|
111 |
"step": 80
|
112 |
},
|
113 |
{
|
114 |
+
"epoch": 0.15,
|
115 |
+
"learning_rate": 9.714285714285715e-06,
|
116 |
+
"loss": 1.5631,
|
117 |
"step": 85
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 0.15,
|
121 |
+
"learning_rate": 1.0285714285714285e-05,
|
122 |
+
"loss": 1.5124,
|
123 |
"step": 90
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 0.16,
|
127 |
+
"learning_rate": 1.0857142857142858e-05,
|
128 |
+
"loss": 1.4762,
|
129 |
"step": 95
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 0.17,
|
133 |
+
"learning_rate": 1.1428571428571429e-05,
|
134 |
+
"loss": 1.5304,
|
135 |
"step": 100
|
136 |
},
|
137 |
{
|
138 |
+
"epoch": 0.18,
|
139 |
+
"learning_rate": 1.2e-05,
|
140 |
+
"loss": 1.5102,
|
141 |
"step": 105
|
142 |
},
|
143 |
{
|
144 |
+
"epoch": 0.19,
|
145 |
+
"learning_rate": 1.2571428571428572e-05,
|
146 |
+
"loss": 1.477,
|
147 |
"step": 110
|
148 |
},
|
149 |
{
|
150 |
+
"epoch": 0.2,
|
151 |
+
"learning_rate": 1.3142857142857145e-05,
|
152 |
+
"loss": 1.5082,
|
153 |
"step": 115
|
154 |
},
|
155 |
{
|
156 |
+
"epoch": 0.21,
|
157 |
+
"learning_rate": 1.3714285714285716e-05,
|
158 |
+
"loss": 1.4684,
|
159 |
"step": 120
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 0.21,
|
163 |
+
"learning_rate": 1.4285714285714287e-05,
|
164 |
+
"loss": 1.5267,
|
165 |
"step": 125
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 0.22,
|
169 |
+
"learning_rate": 1.4857142857142858e-05,
|
170 |
+
"loss": 1.4454,
|
171 |
"step": 130
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 0.23,
|
175 |
+
"learning_rate": 1.542857142857143e-05,
|
176 |
+
"loss": 1.4974,
|
177 |
"step": 135
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 0.24,
|
181 |
+
"learning_rate": 1.6000000000000003e-05,
|
182 |
+
"loss": 1.5087,
|
183 |
"step": 140
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 0.25,
|
187 |
+
"learning_rate": 1.6571428571428574e-05,
|
188 |
+
"loss": 1.5172,
|
189 |
"step": 145
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 0.26,
|
193 |
+
"learning_rate": 1.7142857142857142e-05,
|
194 |
+
"loss": 1.5034,
|
195 |
"step": 150
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 0.27,
|
199 |
+
"learning_rate": 1.7714285714285717e-05,
|
200 |
+
"loss": 1.4841,
|
201 |
"step": 155
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 0.27,
|
205 |
+
"learning_rate": 1.8285714285714288e-05,
|
206 |
+
"loss": 1.5138,
|
207 |
"step": 160
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 0.28,
|
211 |
+
"learning_rate": 1.885714285714286e-05,
|
212 |
+
"loss": 1.5664,
|
213 |
"step": 165
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 0.29,
|
217 |
+
"learning_rate": 1.942857142857143e-05,
|
218 |
+
"loss": 1.5134,
|
219 |
"step": 170
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 0.3,
|
223 |
+
"learning_rate": 2e-05,
|
224 |
+
"loss": 1.5214,
|
225 |
"step": 175
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 0.31,
|
229 |
+
"learning_rate": 1.9999500133801672e-05,
|
230 |
+
"loss": 1.502,
|
231 |
"step": 180
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 0.32,
|
235 |
+
"learning_rate": 1.9998000585179915e-05,
|
236 |
+
"loss": 1.4694,
|
237 |
"step": 185
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 0.33,
|
241 |
+
"learning_rate": 1.9995501504049474e-05,
|
242 |
+
"loss": 1.5153,
|
243 |
"step": 190
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 0.34,
|
247 |
+
"learning_rate": 1.9992003140251582e-05,
|
248 |
+
"loss": 1.5056,
|
249 |
"step": 195
|
250 |
},
|
251 |
{
|
252 |
+
"epoch": 0.34,
|
253 |
+
"learning_rate": 1.9987505843529004e-05,
|
254 |
+
"loss": 1.4324,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
255 |
"step": 200
|
256 |
},
|
257 |
{
|
258 |
+
"epoch": 0.35,
|
259 |
+
"learning_rate": 1.998201006349106e-05,
|
260 |
+
"loss": 1.4889,
|
261 |
"step": 205
|
262 |
},
|
263 |
{
|
264 |
+
"epoch": 0.36,
|
265 |
+
"learning_rate": 1.997551634956868e-05,
|
266 |
+
"loss": 1.5285,
|
267 |
"step": 210
|
268 |
},
|
269 |
{
|
270 |
+
"epoch": 0.37,
|
271 |
+
"learning_rate": 1.9968025350959497e-05,
|
272 |
+
"loss": 1.5191,
|
273 |
"step": 215
|
274 |
},
|
275 |
{
|
276 |
+
"epoch": 0.38,
|
277 |
+
"learning_rate": 1.9959537816562897e-05,
|
278 |
+
"loss": 1.5196,
|
279 |
"step": 220
|
280 |
},
|
281 |
{
|
282 |
+
"epoch": 0.39,
|
283 |
+
"learning_rate": 1.9950054594905196e-05,
|
284 |
+
"loss": 1.5304,
|
285 |
"step": 225
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 0.4,
|
289 |
+
"learning_rate": 1.9939576634054782e-05,
|
290 |
+
"loss": 1.4943,
|
291 |
"step": 230
|
292 |
},
|
293 |
{
|
294 |
+
"epoch": 0.4,
|
295 |
+
"learning_rate": 1.992810498152735e-05,
|
296 |
+
"loss": 1.5335,
|
297 |
"step": 235
|
298 |
},
|
299 |
{
|
300 |
+
"epoch": 0.41,
|
301 |
+
"learning_rate": 1.9915640784181163e-05,
|
302 |
+
"loss": 1.4391,
|
303 |
"step": 240
|
304 |
},
|
305 |
{
|
306 |
+
"epoch": 0.42,
|
307 |
+
"learning_rate": 1.990218528810242e-05,
|
308 |
+
"loss": 1.494,
|
309 |
"step": 245
|
310 |
},
|
311 |
{
|
312 |
+
"epoch": 0.43,
|
313 |
+
"learning_rate": 1.988773983848064e-05,
|
314 |
+
"loss": 1.4153,
|
315 |
"step": 250
|
316 |
},
|
317 |
{
|
318 |
+
"epoch": 0.44,
|
319 |
+
"learning_rate": 1.9872305879474234e-05,
|
320 |
+
"loss": 1.4412,
|
321 |
"step": 255
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 0.45,
|
325 |
+
"learning_rate": 1.9855884954066077e-05,
|
326 |
+
"loss": 1.4328,
|
327 |
"step": 260
|
328 |
},
|
329 |
{
|
330 |
+
"epoch": 0.46,
|
331 |
+
"learning_rate": 1.983847870390928e-05,
|
332 |
+
"loss": 1.4412,
|
333 |
"step": 265
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 0.46,
|
337 |
+
"learning_rate": 1.9820088869163066e-05,
|
338 |
+
"loss": 1.4981,
|
339 |
"step": 270
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 0.47,
|
343 |
+
"learning_rate": 1.9800717288318792e-05,
|
344 |
+
"loss": 1.4064,
|
345 |
"step": 275
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 0.48,
|
349 |
+
"learning_rate": 1.9780365898016147e-05,
|
350 |
+
"loss": 1.4006,
|
351 |
"step": 280
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 0.49,
|
355 |
+
"learning_rate": 1.9759036732849552e-05,
|
356 |
+
"loss": 1.4635,
|
357 |
"step": 285
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 0.5,
|
361 |
+
"learning_rate": 1.9736731925164755e-05,
|
362 |
+
"loss": 1.4569,
|
363 |
"step": 290
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 0.51,
|
367 |
+
"learning_rate": 1.971345370484563e-05,
|
368 |
+
"loss": 1.5035,
|
369 |
"step": 295
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 0.52,
|
373 |
+
"learning_rate": 1.9689204399091285e-05,
|
374 |
+
"loss": 1.3976,
|
375 |
"step": 300
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 0.52,
|
379 |
+
"learning_rate": 1.9663986432183374e-05,
|
380 |
+
"loss": 1.4406,
|
381 |
"step": 305
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 0.53,
|
385 |
+
"learning_rate": 1.963780232524374e-05,
|
386 |
+
"loss": 1.4725,
|
387 |
"step": 310
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 0.54,
|
391 |
+
"learning_rate": 1.961065469598239e-05,
|
392 |
+
"loss": 1.4824,
|
393 |
"step": 315
|
394 |
},
|
395 |
{
|
396 |
+
"epoch": 0.55,
|
397 |
+
"learning_rate": 1.958254625843577e-05,
|
398 |
+
"loss": 1.5003,
|
399 |
"step": 320
|
400 |
},
|
401 |
{
|
402 |
+
"epoch": 0.56,
|
403 |
+
"learning_rate": 1.9553479822695435e-05,
|
404 |
+
"loss": 1.4694,
|
405 |
"step": 325
|
406 |
},
|
407 |
{
|
408 |
+
"epoch": 0.57,
|
409 |
+
"learning_rate": 1.952345829462714e-05,
|
410 |
+
"loss": 1.481,
|
411 |
"step": 330
|
412 |
},
|
413 |
{
|
414 |
+
"epoch": 0.58,
|
415 |
+
"learning_rate": 1.9492484675580302e-05,
|
416 |
+
"loss": 1.4117,
|
417 |
"step": 335
|
418 |
},
|
419 |
{
|
420 |
+
"epoch": 0.58,
|
421 |
+
"learning_rate": 1.9460562062087963e-05,
|
422 |
+
"loss": 1.4311,
|
423 |
"step": 340
|
424 |
},
|
425 |
{
|
426 |
+
"epoch": 0.59,
|
427 |
+
"learning_rate": 1.942769364555721e-05,
|
428 |
+
"loss": 1.43,
|
429 |
"step": 345
|
430 |
},
|
431 |
{
|
432 |
+
"epoch": 0.6,
|
433 |
+
"learning_rate": 1.939388271195013e-05,
|
434 |
+
"loss": 1.5002,
|
435 |
"step": 350
|
436 |
},
|
437 |
{
|
438 |
+
"epoch": 0.61,
|
439 |
+
"learning_rate": 1.935913264145529e-05,
|
440 |
+
"loss": 1.4256,
|
441 |
"step": 355
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 0.62,
|
445 |
+
"learning_rate": 1.932344690814981e-05,
|
446 |
+
"loss": 1.4574,
|
447 |
"step": 360
|
448 |
},
|
449 |
{
|
450 |
+
"epoch": 0.63,
|
451 |
+
"learning_rate": 1.928682907965207e-05,
|
452 |
+
"loss": 1.4027,
|
453 |
"step": 365
|
454 |
},
|
455 |
{
|
456 |
+
"epoch": 0.64,
|
457 |
+
"learning_rate": 1.924928281676501e-05,
|
458 |
+
"loss": 1.3318,
|
459 |
"step": 370
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 0.64,
|
463 |
+
"learning_rate": 1.9210811873110164e-05,
|
464 |
+
"loss": 1.4903,
|
465 |
"step": 375
|
466 |
},
|
467 |
{
|
468 |
+
"epoch": 0.65,
|
469 |
+
"learning_rate": 1.9171420094752404e-05,
|
470 |
+
"loss": 1.4705,
|
471 |
"step": 380
|
472 |
},
|
473 |
{
|
474 |
+
"epoch": 0.66,
|
475 |
+
"learning_rate": 1.9131111419815428e-05,
|
476 |
+
"loss": 1.4515,
|
477 |
"step": 385
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 0.67,
|
481 |
+
"learning_rate": 1.9089889878088063e-05,
|
482 |
+
"loss": 1.3972,
|
483 |
"step": 390
|
484 |
},
|
485 |
{
|
486 |
+
"epoch": 0.68,
|
487 |
+
"learning_rate": 1.904775959062137e-05,
|
488 |
+
"loss": 1.4329,
|
489 |
"step": 395
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 0.69,
|
493 |
+
"learning_rate": 1.9004724769316682e-05,
|
494 |
+
"loss": 1.4771,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
495 |
"step": 400
|
496 |
},
|
497 |
{
|
498 |
+
"epoch": 0.7,
|
499 |
+
"learning_rate": 1.8960789716504502e-05,
|
500 |
+
"loss": 1.4283,
|
501 |
"step": 405
|
502 |
},
|
503 |
{
|
504 |
+
"epoch": 0.7,
|
505 |
+
"learning_rate": 1.8915958824514388e-05,
|
506 |
+
"loss": 1.4044,
|
507 |
"step": 410
|
508 |
},
|
509 |
{
|
510 |
+
"epoch": 0.71,
|
511 |
+
"learning_rate": 1.887023657523586e-05,
|
512 |
+
"loss": 1.4577,
|
513 |
"step": 415
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 0.72,
|
517 |
+
"learning_rate": 1.8823627539670296e-05,
|
518 |
+
"loss": 1.4222,
|
519 |
"step": 420
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 0.73,
|
523 |
+
"learning_rate": 1.877613637747398e-05,
|
524 |
+
"loss": 1.4151,
|
525 |
"step": 425
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 0.74,
|
529 |
+
"learning_rate": 1.8727767836492256e-05,
|
530 |
+
"loss": 1.425,
|
531 |
"step": 430
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 0.75,
|
535 |
+
"learning_rate": 1.8678526752284857e-05,
|
536 |
+
"loss": 1.3253,
|
537 |
"step": 435
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 0.76,
|
541 |
+
"learning_rate": 1.8628418047642505e-05,
|
542 |
+
"loss": 1.3933,
|
543 |
"step": 440
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 0.76,
|
547 |
+
"learning_rate": 1.8577446732094732e-05,
|
548 |
+
"loss": 1.4658,
|
549 |
"step": 445
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 0.77,
|
553 |
+
"learning_rate": 1.8525617901409082e-05,
|
554 |
+
"loss": 1.4172,
|
555 |
"step": 450
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 0.78,
|
559 |
+
"learning_rate": 1.8472936737081673e-05,
|
560 |
+
"loss": 1.4866,
|
561 |
"step": 455
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 0.79,
|
565 |
+
"learning_rate": 1.841940850581917e-05,
|
566 |
+
"loss": 1.4293,
|
567 |
"step": 460
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 0.8,
|
571 |
+
"learning_rate": 1.8365038559012263e-05,
|
572 |
+
"loss": 1.4085,
|
573 |
"step": 465
|
574 |
},
|
575 |
{
|
576 |
+
"epoch": 0.81,
|
577 |
+
"learning_rate": 1.8309832332200677e-05,
|
578 |
+
"loss": 1.421,
|
579 |
"step": 470
|
580 |
},
|
581 |
{
|
582 |
+
"epoch": 0.82,
|
583 |
+
"learning_rate": 1.8253795344529758e-05,
|
584 |
+
"loss": 1.3329,
|
585 |
"step": 475
|
586 |
},
|
587 |
{
|
588 |
+
"epoch": 0.82,
|
589 |
+
"learning_rate": 1.81969331981987e-05,
|
590 |
+
"loss": 1.3832,
|
591 |
"step": 480
|
592 |
},
|
593 |
{
|
594 |
+
"epoch": 0.83,
|
595 |
+
"learning_rate": 1.813925157790049e-05,
|
596 |
+
"loss": 1.2692,
|
597 |
"step": 485
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 0.84,
|
601 |
+
"learning_rate": 1.8080756250253575e-05,
|
602 |
+
"loss": 1.4182,
|
603 |
"step": 490
|
604 |
},
|
605 |
{
|
606 |
+
"epoch": 0.85,
|
607 |
+
"learning_rate": 1.802145306322537e-05,
|
608 |
+
"loss": 1.3419,
|
609 |
"step": 495
|
610 |
},
|
611 |
{
|
612 |
+
"epoch": 0.86,
|
613 |
+
"learning_rate": 1.79613479455476e-05,
|
614 |
+
"loss": 1.356,
|
615 |
"step": 500
|
616 |
},
|
617 |
{
|
618 |
+
"epoch": 0.87,
|
619 |
+
"learning_rate": 1.7900446906123604e-05,
|
620 |
+
"loss": 1.3546,
|
621 |
"step": 505
|
622 |
},
|
623 |
{
|
624 |
+
"epoch": 0.88,
|
625 |
+
"learning_rate": 1.7838756033427585e-05,
|
626 |
+
"loss": 1.3617,
|
627 |
"step": 510
|
628 |
},
|
629 |
{
|
630 |
+
"epoch": 0.88,
|
631 |
+
"learning_rate": 1.7776281494895956e-05,
|
632 |
+
"loss": 1.3494,
|
633 |
"step": 515
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 0.89,
|
637 |
+
"learning_rate": 1.7713029536310722e-05,
|
638 |
+
"loss": 1.382,
|
639 |
"step": 520
|
640 |
},
|
641 |
{
|
642 |
+
"epoch": 0.9,
|
643 |
+
"learning_rate": 1.76490064811751e-05,
|
644 |
+
"loss": 1.3565,
|
645 |
"step": 525
|
646 |
},
|
647 |
{
|
648 |
+
"epoch": 0.91,
|
649 |
+
"learning_rate": 1.7584218730081325e-05,
|
650 |
+
"loss": 1.3842,
|
651 |
"step": 530
|
652 |
},
|
653 |
{
|
654 |
+
"epoch": 0.92,
|
655 |
+
"learning_rate": 1.7518672760070764e-05,
|
656 |
+
"loss": 1.369,
|
657 |
"step": 535
|
658 |
},
|
659 |
{
|
660 |
+
"epoch": 0.93,
|
661 |
+
"learning_rate": 1.7452375123986386e-05,
|
662 |
+
"loss": 1.3536,
|
663 |
"step": 540
|
664 |
},
|
665 |
{
|
666 |
+
"epoch": 0.94,
|
667 |
+
"learning_rate": 1.7385332449817655e-05,
|
668 |
+
"loss": 1.3606,
|
669 |
"step": 545
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 0.95,
|
673 |
+
"learning_rate": 1.73175514400379e-05,
|
674 |
+
"loss": 1.3455,
|
675 |
"step": 550
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 0.95,
|
679 |
+
"learning_rate": 1.7249038870934263e-05,
|
680 |
+
"loss": 1.3637,
|
681 |
"step": 555
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 0.96,
|
685 |
+
"learning_rate": 1.717980159193023e-05,
|
686 |
+
"loss": 1.3794,
|
687 |
"step": 560
|
688 |
},
|
689 |
{
|
690 |
+
"epoch": 0.97,
|
691 |
+
"learning_rate": 1.7109846524900885e-05,
|
692 |
+
"loss": 1.3189,
|
693 |
"step": 565
|
694 |
},
|
695 |
{
|
696 |
+
"epoch": 0.98,
|
697 |
+
"learning_rate": 1.7039180663480917e-05,
|
698 |
+
"loss": 1.3252,
|
699 |
"step": 570
|
700 |
},
|
701 |
{
|
702 |
+
"epoch": 0.99,
|
703 |
+
"learning_rate": 1.6967811072365423e-05,
|
704 |
+
"loss": 1.342,
|
705 |
"step": 575
|
706 |
},
|
707 |
{
|
708 |
+
"epoch": 1.0,
|
709 |
+
"learning_rate": 1.689574488660364e-05,
|
710 |
+
"loss": 1.3497,
|
711 |
"step": 580
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 1.0,
|
715 |
+
"eval_loss": 1.4483790397644043,
|
716 |
+
"eval_runtime": 133.8837,
|
717 |
+
"eval_samples_per_second": 10.18,
|
718 |
+
"eval_steps_per_second": 0.112,
|
719 |
+
"step": 582
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 1.01,
|
723 |
+
"learning_rate": 1.682298931088563e-05,
|
724 |
+
"loss": 1.2855,
|
725 |
"step": 585
|
726 |
},
|
727 |
{
|
728 |
+
"epoch": 1.01,
|
729 |
+
"learning_rate": 1.6749551618822006e-05,
|
730 |
+
"loss": 1.2097,
|
731 |
"step": 590
|
732 |
},
|
733 |
{
|
734 |
+
"epoch": 1.02,
|
735 |
+
"learning_rate": 1.6675439152216747e-05,
|
736 |
+
"loss": 1.3221,
|
737 |
"step": 595
|
738 |
},
|
739 |
{
|
740 |
+
"epoch": 1.03,
|
741 |
+
"learning_rate": 1.6600659320333247e-05,
|
742 |
+
"loss": 1.229,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
743 |
"step": 600
|
744 |
},
|
745 |
{
|
746 |
+
"epoch": 1.04,
|
747 |
+
"learning_rate": 1.652521959915356e-05,
|
748 |
+
"loss": 1.1311,
|
749 |
"step": 605
|
750 |
},
|
751 |
{
|
752 |
+
"epoch": 1.05,
|
753 |
+
"learning_rate": 1.6449127530631005e-05,
|
754 |
+
"loss": 1.2322,
|
755 |
"step": 610
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 1.06,
|
759 |
+
"learning_rate": 1.6372390721936198e-05,
|
760 |
+
"loss": 1.2631,
|
761 |
"step": 615
|
762 |
},
|
763 |
{
|
764 |
+
"epoch": 1.07,
|
765 |
+
"learning_rate": 1.6295016844696494e-05,
|
766 |
+
"loss": 1.1868,
|
767 |
"step": 620
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 1.07,
|
771 |
+
"learning_rate": 1.621701363422907e-05,
|
772 |
+
"loss": 1.1462,
|
773 |
"step": 625
|
774 |
},
|
775 |
{
|
776 |
+
"epoch": 1.08,
|
777 |
+
"learning_rate": 1.6138388888767587e-05,
|
778 |
+
"loss": 1.0917,
|
779 |
"step": 630
|
780 |
},
|
781 |
{
|
782 |
+
"epoch": 1.09,
|
783 |
+
"learning_rate": 1.6059150468682558e-05,
|
784 |
+
"loss": 1.0819,
|
785 |
"step": 635
|
786 |
},
|
787 |
{
|
788 |
+
"epoch": 1.1,
|
789 |
+
"learning_rate": 1.5979306295695547e-05,
|
790 |
+
"loss": 1.1196,
|
791 |
"step": 640
|
792 |
},
|
793 |
{
|
794 |
+
"epoch": 1.11,
|
795 |
+
"learning_rate": 1.58988643520872e-05,
|
796 |
+
"loss": 1.0547,
|
797 |
"step": 645
|
798 |
},
|
799 |
{
|
800 |
+
"epoch": 1.12,
|
801 |
+
"learning_rate": 1.5817832679899222e-05,
|
802 |
+
"loss": 1.0307,
|
803 |
"step": 650
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 1.13,
|
807 |
+
"learning_rate": 1.5736219380130395e-05,
|
808 |
+
"loss": 0.9733,
|
809 |
"step": 655
|
810 |
},
|
811 |
{
|
812 |
+
"epoch": 1.13,
|
813 |
+
"learning_rate": 1.5654032611926698e-05,
|
814 |
+
"loss": 1.0215,
|
815 |
"step": 660
|
816 |
},
|
817 |
{
|
818 |
+
"epoch": 1.14,
|
819 |
+
"learning_rate": 1.5571280591765613e-05,
|
820 |
+
"loss": 0.9941,
|
821 |
"step": 665
|
822 |
},
|
823 |
{
|
824 |
+
"epoch": 1.15,
|
825 |
+
"learning_rate": 1.548797159263467e-05,
|
826 |
+
"loss": 0.9208,
|
827 |
"step": 670
|
828 |
},
|
829 |
{
|
830 |
+
"epoch": 1.16,
|
831 |
+
"learning_rate": 1.540411394320442e-05,
|
832 |
+
"loss": 0.9202,
|
833 |
"step": 675
|
834 |
},
|
835 |
{
|
836 |
+
"epoch": 1.17,
|
837 |
+
"learning_rate": 1.531971602699574e-05,
|
838 |
+
"loss": 0.9048,
|
839 |
"step": 680
|
840 |
},
|
841 |
{
|
842 |
+
"epoch": 1.18,
|
843 |
+
"learning_rate": 1.5234786281541736e-05,
|
844 |
+
"loss": 0.9502,
|
845 |
"step": 685
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 1.19,
|
849 |
+
"learning_rate": 1.5149333197544203e-05,
|
850 |
+
"loss": 0.8838,
|
851 |
"step": 690
|
852 |
},
|
853 |
{
|
854 |
+
"epoch": 1.19,
|
855 |
+
"learning_rate": 1.5063365318024791e-05,
|
856 |
+
"loss": 0.9124,
|
857 |
"step": 695
|
858 |
},
|
859 |
{
|
860 |
+
"epoch": 1.2,
|
861 |
+
"learning_rate": 1.497689123747092e-05,
|
862 |
+
"loss": 0.8446,
|
863 |
"step": 700
|
864 |
},
|
865 |
{
|
866 |
+
"epoch": 1.21,
|
867 |
+
"learning_rate": 1.4889919600976573e-05,
|
868 |
+
"loss": 0.8778,
|
869 |
"step": 705
|
870 |
},
|
871 |
{
|
872 |
+
"epoch": 1.22,
|
873 |
+
"learning_rate": 1.4802459103378008e-05,
|
874 |
+
"loss": 0.7858,
|
875 |
"step": 710
|
876 |
},
|
877 |
{
|
878 |
+
"epoch": 1.23,
|
879 |
+
"learning_rate": 1.4714518488384512e-05,
|
880 |
+
"loss": 0.8087,
|
881 |
"step": 715
|
882 |
},
|
883 |
{
|
884 |
+
"epoch": 1.24,
|
885 |
+
"learning_rate": 1.4626106547704262e-05,
|
886 |
+
"loss": 0.8072,
|
887 |
"step": 720
|
888 |
},
|
889 |
{
|
890 |
+
"epoch": 1.25,
|
891 |
+
"learning_rate": 1.4537232120165401e-05,
|
892 |
+
"loss": 0.7525,
|
893 |
"step": 725
|
894 |
},
|
895 |
{
|
896 |
+
"epoch": 1.25,
|
897 |
+
"learning_rate": 1.4447904090832366e-05,
|
898 |
+
"loss": 0.8278,
|
899 |
"step": 730
|
900 |
},
|
901 |
{
|
902 |
+
"epoch": 1.26,
|
903 |
+
"learning_rate": 1.4358131390117645e-05,
|
904 |
+
"loss": 0.8115,
|
905 |
"step": 735
|
906 |
},
|
907 |
{
|
908 |
+
"epoch": 1.27,
|
909 |
+
"learning_rate": 1.4267922992888961e-05,
|
910 |
+
"loss": 0.7743,
|
911 |
"step": 740
|
912 |
},
|
913 |
{
|
914 |
+
"epoch": 1.28,
|
915 |
+
"learning_rate": 1.4177287917572032e-05,
|
916 |
+
"loss": 0.8078,
|
917 |
"step": 745
|
918 |
},
|
919 |
{
|
920 |
+
"epoch": 1.29,
|
921 |
+
"learning_rate": 1.4086235225248966e-05,
|
922 |
+
"loss": 0.7173,
|
923 |
"step": 750
|
924 |
},
|
925 |
{
|
926 |
+
"epoch": 1.3,
|
927 |
+
"learning_rate": 1.3994774018752389e-05,
|
928 |
+
"loss": 0.7239,
|
929 |
"step": 755
|
930 |
},
|
931 |
{
|
932 |
+
"epoch": 1.31,
|
933 |
+
"learning_rate": 1.3902913441755422e-05,
|
934 |
+
"loss": 0.704,
|
935 |
"step": 760
|
936 |
},
|
937 |
{
|
938 |
+
"epoch": 1.31,
|
939 |
+
"learning_rate": 1.3810662677857548e-05,
|
940 |
+
"loss": 0.7421,
|
941 |
"step": 765
|
942 |
},
|
943 |
{
|
944 |
+
"epoch": 1.32,
|
945 |
+
"learning_rate": 1.3718030949666488e-05,
|
946 |
+
"loss": 0.7604,
|
947 |
"step": 770
|
948 |
},
|
949 |
{
|
950 |
+
"epoch": 1.33,
|
951 |
+
"learning_rate": 1.3625027517876216e-05,
|
952 |
+
"loss": 0.7587,
|
953 |
"step": 775
|
954 |
},
|
955 |
{
|
956 |
+
"epoch": 1.34,
|
957 |
+
"learning_rate": 1.3531661680341098e-05,
|
958 |
+
"loss": 0.7139,
|
959 |
"step": 780
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 1.35,
|
963 |
+
"learning_rate": 1.3437942771146388e-05,
|
964 |
+
"loss": 0.715,
|
965 |
"step": 785
|
966 |
},
|
967 |
{
|
968 |
+
"epoch": 1.36,
|
969 |
+
"learning_rate": 1.3343880159675062e-05,
|
970 |
+
"loss": 0.7455,
|
971 |
"step": 790
|
972 |
},
|
973 |
{
|
974 |
+
"epoch": 1.37,
|
975 |
+
"learning_rate": 1.3249483249671117e-05,
|
976 |
+
"loss": 0.7436,
|
977 |
"step": 795
|
978 |
},
|
979 |
{
|
980 |
+
"epoch": 1.37,
|
981 |
+
"learning_rate": 1.3154761478299461e-05,
|
982 |
+
"loss": 0.7172,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
983 |
"step": 800
|
984 |
},
|
985 |
{
|
986 |
+
"epoch": 1.38,
|
987 |
+
"learning_rate": 1.3059724315202444e-05,
|
988 |
+
"loss": 0.741,
|
989 |
"step": 805
|
990 |
},
|
991 |
{
|
992 |
+
"epoch": 1.39,
|
993 |
+
"learning_rate": 1.296438126155315e-05,
|
994 |
+
"loss": 0.6807,
|
995 |
"step": 810
|
996 |
},
|
997 |
{
|
998 |
+
"epoch": 1.4,
|
999 |
+
"learning_rate": 1.286874184910553e-05,
|
1000 |
+
"loss": 0.7379,
|
1001 |
"step": 815
|
1002 |
},
|
1003 |
{
|
1004 |
+
"epoch": 1.41,
|
1005 |
+
"learning_rate": 1.2772815639241491e-05,
|
1006 |
+
"loss": 0.7086,
|
1007 |
"step": 820
|
1008 |
},
|
1009 |
{
|
1010 |
+
"epoch": 1.42,
|
1011 |
+
"learning_rate": 1.2676612222014999e-05,
|
1012 |
+
"loss": 0.7675,
|
1013 |
"step": 825
|
1014 |
},
|
1015 |
{
|
1016 |
+
"epoch": 1.43,
|
1017 |
+
"learning_rate": 1.258014121519334e-05,
|
1018 |
+
"loss": 0.7193,
|
1019 |
"step": 830
|
1020 |
},
|
1021 |
{
|
1022 |
+
"epoch": 1.43,
|
1023 |
+
"learning_rate": 1.2483412263295602e-05,
|
1024 |
+
"loss": 0.6671,
|
1025 |
"step": 835
|
1026 |
},
|
1027 |
{
|
1028 |
+
"epoch": 1.44,
|
1029 |
+
"learning_rate": 1.2386435036628474e-05,
|
1030 |
+
"loss": 0.6785,
|
1031 |
"step": 840
|
1032 |
},
|
1033 |
{
|
1034 |
+
"epoch": 1.45,
|
1035 |
+
"learning_rate": 1.228921923031948e-05,
|
1036 |
+
"loss": 0.6683,
|
1037 |
"step": 845
|
1038 |
},
|
1039 |
{
|
1040 |
+
"epoch": 1.46,
|
1041 |
+
"learning_rate": 1.2191774563347727e-05,
|
1042 |
+
"loss": 0.7199,
|
1043 |
"step": 850
|
1044 |
},
|
1045 |
{
|
1046 |
+
"epoch": 1.47,
|
1047 |
+
"learning_rate": 1.2094110777572257e-05,
|
1048 |
+
"loss": 0.7024,
|
1049 |
"step": 855
|
1050 |
},
|
1051 |
{
|
1052 |
+
"epoch": 1.48,
|
1053 |
+
"learning_rate": 1.1996237636758133e-05,
|
1054 |
+
"loss": 0.6914,
|
1055 |
"step": 860
|
1056 |
},
|
1057 |
{
|
1058 |
+
"epoch": 1.49,
|
1059 |
+
"learning_rate": 1.1898164925600316e-05,
|
1060 |
+
"loss": 0.6947,
|
1061 |
"step": 865
|
1062 |
},
|
1063 |
{
|
1064 |
+
"epoch": 1.49,
|
1065 |
+
"learning_rate": 1.1799902448745466e-05,
|
1066 |
+
"loss": 0.6846,
|
1067 |
"step": 870
|
1068 |
},
|
1069 |
{
|
1070 |
+
"epoch": 1.5,
|
1071 |
+
"learning_rate": 1.1701460029811733e-05,
|
1072 |
+
"loss": 0.6788,
|
1073 |
"step": 875
|
1074 |
},
|
1075 |
{
|
1076 |
+
"epoch": 1.51,
|
1077 |
+
"learning_rate": 1.1602847510406657e-05,
|
1078 |
+
"loss": 0.6986,
|
1079 |
"step": 880
|
1080 |
},
|
1081 |
{
|
1082 |
+
"epoch": 1.52,
|
1083 |
+
"learning_rate": 1.150407474914327e-05,
|
1084 |
+
"loss": 0.7083,
|
1085 |
"step": 885
|
1086 |
},
|
1087 |
{
|
1088 |
+
"epoch": 1.53,
|
1089 |
+
"learning_rate": 1.1405151620654513e-05,
|
1090 |
+
"loss": 0.6188,
|
1091 |
"step": 890
|
1092 |
},
|
1093 |
{
|
1094 |
+
"epoch": 1.54,
|
1095 |
+
"learning_rate": 1.1306088014606018e-05,
|
1096 |
+
"loss": 0.7138,
|
1097 |
"step": 895
|
1098 |
},
|
1099 |
{
|
1100 |
+
"epoch": 1.55,
|
1101 |
+
"learning_rate": 1.1206893834707415e-05,
|
1102 |
+
"loss": 0.6972,
|
1103 |
"step": 900
|
1104 |
},
|
1105 |
{
|
1106 |
+
"epoch": 1.55,
|
1107 |
+
"learning_rate": 1.110757899772222e-05,
|
1108 |
+
"loss": 0.7069,
|
1109 |
"step": 905
|
1110 |
},
|
1111 |
{
|
1112 |
+
"epoch": 1.56,
|
1113 |
+
"learning_rate": 1.1008153432476436e-05,
|
1114 |
+
"loss": 0.7038,
|
1115 |
"step": 910
|
1116 |
},
|
1117 |
{
|
1118 |
+
"epoch": 1.57,
|
1119 |
+
"learning_rate": 1.0908627078865928e-05,
|
1120 |
+
"loss": 0.6523,
|
1121 |
"step": 915
|
1122 |
},
|
1123 |
{
|
1124 |
+
"epoch": 1.58,
|
1125 |
+
"learning_rate": 1.0809009886862695e-05,
|
1126 |
+
"loss": 0.6411,
|
1127 |
"step": 920
|
1128 |
},
|
1129 |
{
|
1130 |
+
"epoch": 1.59,
|
1131 |
+
"learning_rate": 1.0709311815520151e-05,
|
1132 |
+
"loss": 0.6691,
|
1133 |
"step": 925
|
1134 |
},
|
1135 |
{
|
1136 |
+
"epoch": 1.6,
|
1137 |
+
"learning_rate": 1.0609542831977478e-05,
|
1138 |
+
"loss": 0.6952,
|
1139 |
"step": 930
|
1140 |
},
|
1141 |
{
|
1142 |
+
"epoch": 1.61,
|
1143 |
+
"learning_rate": 1.0509712910463175e-05,
|
1144 |
+
"loss": 0.7437,
|
1145 |
"step": 935
|
1146 |
},
|
1147 |
{
|
1148 |
+
"epoch": 1.62,
|
1149 |
+
"learning_rate": 1.0409832031297912e-05,
|
1150 |
+
"loss": 0.7274,
|
1151 |
"step": 940
|
1152 |
},
|
1153 |
{
|
1154 |
+
"epoch": 1.62,
|
1155 |
+
"learning_rate": 1.0309910179896762e-05,
|
1156 |
+
"loss": 0.6345,
|
1157 |
"step": 945
|
1158 |
},
|
1159 |
{
|
1160 |
+
"epoch": 1.63,
|
1161 |
+
"learning_rate": 1.0209957345770924e-05,
|
1162 |
+
"loss": 0.6331,
|
1163 |
"step": 950
|
1164 |
},
|
1165 |
{
|
1166 |
+
"epoch": 1.64,
|
1167 |
+
"learning_rate": 1.0109983521529036e-05,
|
1168 |
+
"loss": 0.6683,
|
1169 |
"step": 955
|
1170 |
},
|
1171 |
{
|
1172 |
+
"epoch": 1.65,
|
1173 |
+
"learning_rate": 1.000999870187819e-05,
|
1174 |
+
"loss": 0.6999,
|
1175 |
"step": 960
|
1176 |
},
|
1177 |
{
|
1178 |
+
"epoch": 1.66,
|
1179 |
+
"learning_rate": 9.910012882624726e-06,
|
1180 |
+
"loss": 0.6881,
|
1181 |
"step": 965
|
1182 |
},
|
1183 |
{
|
1184 |
+
"epoch": 1.67,
|
1185 |
+
"learning_rate": 9.810036059674914e-06,
|
1186 |
+
"loss": 0.6735,
|
1187 |
"step": 970
|
1188 |
},
|
1189 |
{
|
1190 |
+
"epoch": 1.68,
|
1191 |
+
"learning_rate": 9.710078228035635e-06,
|
1192 |
+
"loss": 0.6506,
|
1193 |
"step": 975
|
1194 |
},
|
1195 |
{
|
1196 |
+
"epoch": 1.68,
|
1197 |
+
"learning_rate": 9.610149380815148e-06,
|
1198 |
+
"loss": 0.6896,
|
1199 |
"step": 980
|
1200 |
},
|
1201 |
{
|
1202 |
+
"epoch": 1.69,
|
1203 |
+
"learning_rate": 9.510259508224052e-06,
|
1204 |
+
"loss": 0.6672,
|
1205 |
"step": 985
|
1206 |
},
|
1207 |
{
|
1208 |
+
"epoch": 1.7,
|
1209 |
+
"learning_rate": 9.41041859657651e-06,
|
1210 |
+
"loss": 0.6851,
|
1211 |
"step": 990
|
1212 |
},
|
1213 |
{
|
1214 |
+
"epoch": 1.71,
|
1215 |
+
"learning_rate": 9.310636627291915e-06,
|
1216 |
+
"loss": 0.6618,
|
1217 |
"step": 995
|
1218 |
},
|
1219 |
{
|
1220 |
+
"epoch": 1.72,
|
1221 |
+
"learning_rate": 9.210923575897001e-06,
|
1222 |
+
"loss": 0.6249,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1223 |
"step": 1000
|
1224 |
},
|
1225 |
{
|
1226 |
+
"epoch": 1.73,
|
1227 |
+
"learning_rate": 9.111289411028545e-06,
|
1228 |
+
"loss": 0.631,
|
1229 |
"step": 1005
|
1230 |
},
|
1231 |
{
|
1232 |
+
"epoch": 1.74,
|
1233 |
+
"learning_rate": 9.0117440934368e-06,
|
1234 |
+
"loss": 0.6352,
|
1235 |
"step": 1010
|
1236 |
},
|
1237 |
{
|
1238 |
+
"epoch": 1.74,
|
1239 |
+
"learning_rate": 8.912297574989649e-06,
|
1240 |
+
"loss": 0.6613,
|
1241 |
"step": 1015
|
1242 |
},
|
1243 |
{
|
1244 |
+
"epoch": 1.75,
|
1245 |
+
"learning_rate": 8.812959797677718e-06,
|
1246 |
+
"loss": 0.6452,
|
1247 |
"step": 1020
|
1248 |
},
|
1249 |
{
|
1250 |
+
"epoch": 1.76,
|
1251 |
+
"learning_rate": 8.713740692620432e-06,
|
1252 |
+
"loss": 0.6671,
|
1253 |
"step": 1025
|
1254 |
},
|
1255 |
{
|
1256 |
+
"epoch": 1.77,
|
1257 |
+
"learning_rate": 8.614650179073152e-06,
|
1258 |
+
"loss": 0.6833,
|
1259 |
"step": 1030
|
1260 |
},
|
1261 |
{
|
1262 |
+
"epoch": 1.78,
|
1263 |
+
"learning_rate": 8.515698163435542e-06,
|
1264 |
+
"loss": 0.7135,
|
1265 |
"step": 1035
|
1266 |
},
|
1267 |
{
|
1268 |
+
"epoch": 1.79,
|
1269 |
+
"learning_rate": 8.41689453826118e-06,
|
1270 |
+
"loss": 0.6784,
|
1271 |
"step": 1040
|
1272 |
},
|
1273 |
{
|
1274 |
+
"epoch": 1.8,
|
1275 |
+
"learning_rate": 8.318249181268556e-06,
|
1276 |
+
"loss": 0.6886,
|
1277 |
"step": 1045
|
1278 |
},
|
1279 |
{
|
1280 |
+
"epoch": 1.8,
|
1281 |
+
"learning_rate": 8.219771954353597e-06,
|
1282 |
+
"loss": 0.6221,
|
1283 |
"step": 1050
|
1284 |
},
|
1285 |
{
|
1286 |
+
"epoch": 1.81,
|
1287 |
+
"learning_rate": 8.121472702603703e-06,
|
1288 |
+
"loss": 0.677,
|
1289 |
"step": 1055
|
1290 |
},
|
1291 |
{
|
1292 |
+
"epoch": 1.82,
|
1293 |
+
"learning_rate": 8.023361253313533e-06,
|
1294 |
+
"loss": 0.631,
|
1295 |
"step": 1060
|
1296 |
},
|
1297 |
{
|
1298 |
+
"epoch": 1.83,
|
1299 |
+
"learning_rate": 7.925447415002523e-06,
|
1300 |
+
"loss": 0.5897,
|
1301 |
"step": 1065
|
1302 |
},
|
1303 |
{
|
1304 |
+
"epoch": 1.84,
|
1305 |
+
"learning_rate": 7.827740976434287e-06,
|
1306 |
+
"loss": 0.6003,
|
1307 |
"step": 1070
|
1308 |
},
|
1309 |
{
|
1310 |
+
"epoch": 1.85,
|
1311 |
+
"learning_rate": 7.730251705638034e-06,
|
1312 |
+
"loss": 0.6457,
|
1313 |
"step": 1075
|
1314 |
},
|
1315 |
{
|
1316 |
+
"epoch": 1.86,
|
1317 |
+
"learning_rate": 7.632989348931993e-06,
|
1318 |
+
"loss": 0.6322,
|
1319 |
"step": 1080
|
1320 |
},
|
1321 |
{
|
1322 |
+
"epoch": 1.86,
|
1323 |
+
"learning_rate": 7.535963629949071e-06,
|
1324 |
+
"loss": 0.5849,
|
1325 |
"step": 1085
|
1326 |
},
|
1327 |
{
|
1328 |
+
"epoch": 1.87,
|
1329 |
+
"learning_rate": 7.439184248664713e-06,
|
1330 |
+
"loss": 0.6439,
|
1331 |
"step": 1090
|
1332 |
},
|
1333 |
{
|
1334 |
+
"epoch": 1.88,
|
1335 |
+
"learning_rate": 7.34266088042721e-06,
|
1336 |
+
"loss": 0.641,
|
1337 |
"step": 1095
|
1338 |
},
|
1339 |
{
|
1340 |
+
"epoch": 1.89,
|
1341 |
+
"learning_rate": 7.246403174990379e-06,
|
1342 |
+
"loss": 0.6496,
|
1343 |
"step": 1100
|
1344 |
},
|
1345 |
{
|
1346 |
+
"epoch": 1.9,
|
1347 |
+
"learning_rate": 7.15042075554888e-06,
|
1348 |
+
"loss": 0.6245,
|
1349 |
"step": 1105
|
1350 |
},
|
1351 |
{
|
1352 |
+
"epoch": 1.91,
|
1353 |
+
"learning_rate": 7.054723217776138e-06,
|
1354 |
+
"loss": 0.6483,
|
1355 |
"step": 1110
|
1356 |
},
|
1357 |
{
|
1358 |
+
"epoch": 1.92,
|
1359 |
+
"learning_rate": 6.959320128865026e-06,
|
1360 |
+
"loss": 0.6532,
|
1361 |
"step": 1115
|
1362 |
},
|
1363 |
{
|
1364 |
+
"epoch": 1.92,
|
1365 |
+
"learning_rate": 6.86422102657142e-06,
|
1366 |
+
"loss": 0.6116,
|
1367 |
"step": 1120
|
1368 |
},
|
1369 |
{
|
1370 |
+
"epoch": 1.93,
|
1371 |
+
"learning_rate": 6.76943541826067e-06,
|
1372 |
+
"loss": 0.5523,
|
1373 |
"step": 1125
|
1374 |
},
|
1375 |
{
|
1376 |
+
"epoch": 1.94,
|
1377 |
+
"learning_rate": 6.6749727799571016e-06,
|
1378 |
+
"loss": 0.6321,
|
1379 |
"step": 1130
|
1380 |
},
|
1381 |
{
|
1382 |
+
"epoch": 1.95,
|
1383 |
+
"learning_rate": 6.580842555396706e-06,
|
1384 |
+
"loss": 0.6502,
|
1385 |
"step": 1135
|
1386 |
},
|
1387 |
{
|
1388 |
+
"epoch": 1.96,
|
1389 |
+
"learning_rate": 6.487054155082973e-06,
|
1390 |
+
"loss": 0.6254,
|
1391 |
"step": 1140
|
1392 |
},
|
1393 |
{
|
1394 |
+
"epoch": 1.97,
|
1395 |
+
"learning_rate": 6.393616955346129e-06,
|
1396 |
+
"loss": 0.6547,
|
1397 |
"step": 1145
|
1398 |
},
|
1399 |
{
|
1400 |
+
"epoch": 1.98,
|
1401 |
+
"learning_rate": 6.3005402974057415e-06,
|
1402 |
+
"loss": 0.6172,
|
1403 |
"step": 1150
|
1404 |
},
|
1405 |
{
|
1406 |
+
"epoch": 1.98,
|
1407 |
+
"learning_rate": 6.207833486436832e-06,
|
1408 |
+
"loss": 0.6557,
|
1409 |
"step": 1155
|
1410 |
},
|
1411 |
{
|
1412 |
+
"epoch": 1.99,
|
1413 |
+
"learning_rate": 6.115505790639642e-06,
|
1414 |
+
"loss": 0.6709,
|
1415 |
"step": 1160
|
1416 |
},
|
1417 |
{
|
1418 |
+
"epoch": 2.0,
|
1419 |
+
"eval_loss": 1.5766805410385132,
|
1420 |
+
"eval_runtime": 133.3882,
|
1421 |
+
"eval_samples_per_second": 10.218,
|
1422 |
+
"eval_steps_per_second": 0.112,
|
1423 |
+
"step": 1164
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 2.0,
|
1427 |
+
"learning_rate": 6.023566440313023e-06,
|
1428 |
+
"loss": 0.559,
|
1429 |
"step": 1165
|
1430 |
},
|
1431 |
{
|
1432 |
+
"epoch": 2.01,
|
1433 |
+
"learning_rate": 5.932024626931689e-06,
|
1434 |
+
"loss": 0.5316,
|
1435 |
"step": 1170
|
1436 |
},
|
1437 |
{
|
1438 |
+
"epoch": 2.02,
|
1439 |
+
"learning_rate": 5.840889502227285e-06,
|
1440 |
+
"loss": 0.6037,
|
1441 |
"step": 1175
|
1442 |
},
|
1443 |
{
|
1444 |
+
"epoch": 2.03,
|
1445 |
+
"learning_rate": 5.750170177273471e-06,
|
1446 |
+
"loss": 0.5708,
|
1447 |
"step": 1180
|
1448 |
},
|
1449 |
{
|
1450 |
+
"epoch": 2.04,
|
1451 |
+
"learning_rate": 5.659875721575065e-06,
|
1452 |
+
"loss": 0.5343,
|
1453 |
"step": 1185
|
1454 |
},
|
1455 |
{
|
1456 |
+
"epoch": 2.04,
|
1457 |
+
"learning_rate": 5.570015162161331e-06,
|
1458 |
+
"loss": 0.5318,
|
1459 |
"step": 1190
|
1460 |
},
|
1461 |
{
|
1462 |
+
"epoch": 2.05,
|
1463 |
+
"learning_rate": 5.480597482683507e-06,
|
1464 |
+
"loss": 0.5536,
|
1465 |
"step": 1195
|
1466 |
},
|
1467 |
{
|
1468 |
+
"epoch": 2.06,
|
1469 |
+
"learning_rate": 5.391631622516697e-06,
|
1470 |
+
"loss": 0.5613,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1471 |
"step": 1200
|
1472 |
},
|
1473 |
{
|
1474 |
+
"epoch": 2.07,
|
1475 |
+
"learning_rate": 5.3031264758661595e-06,
|
1476 |
+
"loss": 0.5205,
|
1477 |
"step": 1205
|
1478 |
},
|
1479 |
{
|
1480 |
+
"epoch": 2.08,
|
1481 |
+
"learning_rate": 5.2150908908781335e-06,
|
1482 |
+
"loss": 0.5141,
|
1483 |
"step": 1210
|
1484 |
},
|
1485 |
{
|
1486 |
+
"epoch": 2.09,
|
1487 |
+
"learning_rate": 5.1275336687552554e-06,
|
1488 |
+
"loss": 0.4753,
|
1489 |
"step": 1215
|
1490 |
},
|
1491 |
{
|
1492 |
+
"epoch": 2.1,
|
1493 |
+
"learning_rate": 5.040463562876678e-06,
|
1494 |
+
"loss": 0.5046,
|
1495 |
"step": 1220
|
1496 |
},
|
1497 |
{
|
1498 |
+
"epoch": 2.1,
|
1499 |
+
"learning_rate": 4.9538892779229645e-06,
|
1500 |
+
"loss": 0.509,
|
1501 |
"step": 1225
|
1502 |
},
|
1503 |
{
|
1504 |
+
"epoch": 2.11,
|
1505 |
+
"learning_rate": 4.867819469005851e-06,
|
1506 |
+
"loss": 0.4434,
|
1507 |
"step": 1230
|
1508 |
},
|
1509 |
{
|
1510 |
+
"epoch": 2.12,
|
1511 |
+
"learning_rate": 4.782262740802975e-06,
|
1512 |
+
"loss": 0.4493,
|
1513 |
"step": 1235
|
1514 |
},
|
1515 |
{
|
1516 |
+
"epoch": 2.13,
|
1517 |
+
"learning_rate": 4.697227646697627e-06,
|
1518 |
+
"loss": 0.4474,
|
1519 |
"step": 1240
|
1520 |
},
|
1521 |
{
|
1522 |
+
"epoch": 2.14,
|
1523 |
+
"learning_rate": 4.612722687923658e-06,
|
1524 |
+
"loss": 0.4455,
|
1525 |
"step": 1245
|
1526 |
},
|
1527 |
{
|
1528 |
+
"epoch": 2.15,
|
1529 |
+
"learning_rate": 4.5287563127155545e-06,
|
1530 |
+
"loss": 0.43,
|
1531 |
"step": 1250
|
1532 |
},
|
1533 |
{
|
1534 |
+
"epoch": 2.16,
|
1535 |
+
"learning_rate": 4.445336915463874e-06,
|
1536 |
+
"loss": 0.4147,
|
1537 |
"step": 1255
|
1538 |
},
|
1539 |
{
|
1540 |
+
"epoch": 2.16,
|
1541 |
+
"learning_rate": 4.362472835876011e-06,
|
1542 |
+
"loss": 0.3961,
|
1543 |
"step": 1260
|
1544 |
},
|
1545 |
{
|
1546 |
+
"epoch": 2.17,
|
1547 |
+
"learning_rate": 4.280172358142448e-06,
|
1548 |
+
"loss": 0.4416,
|
1549 |
"step": 1265
|
1550 |
},
|
1551 |
{
|
1552 |
+
"epoch": 2.18,
|
1553 |
+
"learning_rate": 4.198443710108583e-06,
|
1554 |
+
"loss": 0.3929,
|
1555 |
"step": 1270
|
1556 |
},
|
1557 |
{
|
1558 |
+
"epoch": 2.19,
|
1559 |
+
"learning_rate": 4.117295062452122e-06,
|
1560 |
+
"loss": 0.4044,
|
1561 |
"step": 1275
|
1562 |
},
|
1563 |
{
|
1564 |
+
"epoch": 2.2,
|
1565 |
+
"learning_rate": 4.036734527866266e-06,
|
1566 |
+
"loss": 0.4289,
|
1567 |
"step": 1280
|
1568 |
},
|
1569 |
{
|
1570 |
+
"epoch": 2.21,
|
1571 |
+
"learning_rate": 3.956770160248658e-06,
|
1572 |
+
"loss": 0.383,
|
1573 |
"step": 1285
|
1574 |
},
|
1575 |
{
|
1576 |
+
"epoch": 2.22,
|
1577 |
+
"learning_rate": 3.8774099538961705e-06,
|
1578 |
+
"loss": 0.391,
|
1579 |
"step": 1290
|
1580 |
},
|
1581 |
{
|
1582 |
+
"epoch": 2.23,
|
1583 |
+
"learning_rate": 3.79866184270575e-06,
|
1584 |
+
"loss": 0.3592,
|
1585 |
"step": 1295
|
1586 |
},
|
1587 |
{
|
1588 |
+
"epoch": 2.23,
|
1589 |
+
"learning_rate": 3.720533699381177e-06,
|
1590 |
+
"loss": 0.3803,
|
1591 |
"step": 1300
|
1592 |
},
|
1593 |
{
|
1594 |
+
"epoch": 2.24,
|
1595 |
+
"learning_rate": 3.64303333464605e-06,
|
1596 |
+
"loss": 0.3274,
|
1597 |
"step": 1305
|
1598 |
},
|
1599 |
{
|
1600 |
+
"epoch": 2.25,
|
1601 |
+
"learning_rate": 3.5661684964629174e-06,
|
1602 |
+
"loss": 0.3652,
|
1603 |
"step": 1310
|
1604 |
},
|
1605 |
{
|
1606 |
+
"epoch": 2.26,
|
1607 |
+
"learning_rate": 3.4899468692586537e-06,
|
1608 |
+
"loss": 0.3681,
|
1609 |
"step": 1315
|
1610 |
},
|
1611 |
{
|
1612 |
+
"epoch": 2.27,
|
1613 |
+
"learning_rate": 3.414376073156275e-06,
|
1614 |
+
"loss": 0.3589,
|
1615 |
"step": 1320
|
1616 |
},
|
1617 |
{
|
1618 |
+
"epoch": 2.28,
|
1619 |
+
"learning_rate": 3.3394636632130893e-06,
|
1620 |
+
"loss": 0.3431,
|
1621 |
"step": 1325
|
1622 |
},
|
1623 |
{
|
1624 |
+
"epoch": 2.29,
|
1625 |
+
"learning_rate": 3.2652171286654032e-06,
|
1626 |
+
"loss": 0.3458,
|
1627 |
"step": 1330
|
1628 |
},
|
1629 |
{
|
1630 |
+
"epoch": 2.29,
|
1631 |
+
"learning_rate": 3.191643892179821e-06,
|
1632 |
+
"loss": 0.3163,
|
1633 |
"step": 1335
|
1634 |
},
|
1635 |
{
|
1636 |
+
"epoch": 2.3,
|
1637 |
+
"learning_rate": 3.1187513091111345e-06,
|
1638 |
+
"loss": 0.2961,
|
1639 |
"step": 1340
|
1640 |
},
|
1641 |
{
|
1642 |
+
"epoch": 2.31,
|
1643 |
+
"learning_rate": 3.0465466667670286e-06,
|
1644 |
+
"loss": 0.3045,
|
1645 |
"step": 1345
|
1646 |
},
|
1647 |
{
|
1648 |
+
"epoch": 2.32,
|
1649 |
+
"learning_rate": 2.975037183679519e-06,
|
1650 |
+
"loss": 0.3366,
|
1651 |
"step": 1350
|
1652 |
},
|
1653 |
{
|
1654 |
+
"epoch": 2.33,
|
1655 |
+
"learning_rate": 2.9042300088832877e-06,
|
1656 |
+
"loss": 0.3511,
|
1657 |
"step": 1355
|
1658 |
},
|
1659 |
{
|
1660 |
+
"epoch": 2.34,
|
1661 |
+
"learning_rate": 2.834132221200998e-06,
|
1662 |
+
"loss": 0.3254,
|
1663 |
"step": 1360
|
1664 |
},
|
1665 |
{
|
1666 |
+
"epoch": 2.35,
|
1667 |
+
"learning_rate": 2.7647508285355774e-06,
|
1668 |
+
"loss": 0.3208,
|
1669 |
"step": 1365
|
1670 |
},
|
1671 |
{
|
1672 |
+
"epoch": 2.35,
|
1673 |
+
"learning_rate": 2.6960927671696213e-06,
|
1674 |
+
"loss": 0.3209,
|
1675 |
"step": 1370
|
1676 |
},
|
1677 |
{
|
1678 |
+
"epoch": 2.36,
|
1679 |
+
"learning_rate": 2.6281649010719577e-06,
|
1680 |
+
"loss": 0.3605,
|
1681 |
"step": 1375
|
1682 |
},
|
1683 |
{
|
1684 |
+
"epoch": 2.37,
|
1685 |
+
"learning_rate": 2.5609740212114154e-06,
|
1686 |
+
"loss": 0.3405,
|
1687 |
"step": 1380
|
1688 |
},
|
1689 |
{
|
1690 |
+
"epoch": 2.38,
|
1691 |
+
"learning_rate": 2.494526844877938e-06,
|
1692 |
+
"loss": 0.3352,
|
1693 |
"step": 1385
|
1694 |
},
|
1695 |
{
|
1696 |
+
"epoch": 2.39,
|
1697 |
+
"learning_rate": 2.4288300150110077e-06,
|
1698 |
+
"loss": 0.307,
|
1699 |
"step": 1390
|
1700 |
},
|
1701 |
{
|
1702 |
+
"epoch": 2.4,
|
1703 |
+
"learning_rate": 2.3638900995355418e-06,
|
1704 |
+
"loss": 0.3171,
|
1705 |
"step": 1395
|
1706 |
},
|
1707 |
{
|
1708 |
+
"epoch": 2.41,
|
1709 |
+
"learning_rate": 2.299713590705275e-06,
|
1710 |
+
"loss": 0.3189,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1711 |
"step": 1400
|
1712 |
},
|
1713 |
{
|
1714 |
+
"epoch": 2.41,
|
1715 |
+
"learning_rate": 2.2363069044537044e-06,
|
1716 |
+
"loss": 0.3225,
|
1717 |
"step": 1405
|
1718 |
},
|
1719 |
{
|
1720 |
+
"epoch": 2.42,
|
1721 |
+
"learning_rate": 2.173676379752672e-06,
|
1722 |
+
"loss": 0.3645,
|
1723 |
"step": 1410
|
1724 |
},
|
1725 |
{
|
1726 |
+
"epoch": 2.43,
|
1727 |
+
"learning_rate": 2.1118282779786325e-06,
|
1728 |
+
"loss": 0.3216,
|
1729 |
"step": 1415
|
1730 |
},
|
1731 |
{
|
1732 |
+
"epoch": 2.44,
|
1733 |
+
"learning_rate": 2.0507687822866897e-06,
|
1734 |
+
"loss": 0.3094,
|
1735 |
"step": 1420
|
1736 |
},
|
1737 |
{
|
1738 |
+
"epoch": 2.45,
|
1739 |
+
"learning_rate": 1.9905039969924388e-06,
|
1740 |
+
"loss": 0.3119,
|
1741 |
"step": 1425
|
1742 |
},
|
1743 |
{
|
1744 |
+
"epoch": 2.46,
|
1745 |
+
"learning_rate": 1.9310399469617048e-06,
|
1746 |
+
"loss": 0.3193,
|
1747 |
"step": 1430
|
1748 |
},
|
1749 |
{
|
1750 |
+
"epoch": 2.47,
|
1751 |
+
"learning_rate": 1.8723825770082116e-06,
|
1752 |
+
"loss": 0.3117,
|
1753 |
"step": 1435
|
1754 |
},
|
1755 |
{
|
1756 |
+
"epoch": 2.47,
|
1757 |
+
"learning_rate": 1.8145377512992646e-06,
|
1758 |
+
"loss": 0.3199,
|
1759 |
"step": 1440
|
1760 |
},
|
1761 |
{
|
1762 |
+
"epoch": 2.48,
|
1763 |
+
"learning_rate": 1.7575112527694871e-06,
|
1764 |
+
"loss": 0.2935,
|
1765 |
"step": 1445
|
1766 |
},
|
1767 |
{
|
1768 |
+
"epoch": 2.49,
|
1769 |
+
"learning_rate": 1.7013087825426855e-06,
|
1770 |
+
"loss": 0.3258,
|
1771 |
"step": 1450
|
1772 |
},
|
1773 |
{
|
1774 |
+
"epoch": 2.5,
|
1775 |
+
"learning_rate": 1.645935959361884e-06,
|
1776 |
+
"loss": 0.3007,
|
1777 |
"step": 1455
|
1778 |
},
|
1779 |
{
|
1780 |
+
"epoch": 2.51,
|
1781 |
+
"learning_rate": 1.591398319027605e-06,
|
1782 |
+
"loss": 0.3276,
|
1783 |
"step": 1460
|
1784 |
},
|
1785 |
{
|
1786 |
+
"epoch": 2.52,
|
1787 |
+
"learning_rate": 1.5377013138444386e-06,
|
1788 |
+
"loss": 0.3204,
|
1789 |
"step": 1465
|
1790 |
},
|
1791 |
{
|
1792 |
+
"epoch": 2.53,
|
1793 |
+
"learning_rate": 1.4848503120759527e-06,
|
1794 |
+
"loss": 0.3157,
|
1795 |
"step": 1470
|
1796 |
},
|
1797 |
{
|
1798 |
+
"epoch": 2.53,
|
1799 |
+
"learning_rate": 1.432850597408012e-06,
|
1800 |
+
"loss": 0.2953,
|
1801 |
"step": 1475
|
1802 |
},
|
1803 |
{
|
1804 |
+
"epoch": 2.54,
|
1805 |
+
"learning_rate": 1.3817073684205562e-06,
|
1806 |
+
"loss": 0.2959,
|
1807 |
"step": 1480
|
1808 |
},
|
1809 |
{
|
1810 |
+
"epoch": 2.55,
|
1811 |
+
"learning_rate": 1.331425738067872e-06,
|
1812 |
+
"loss": 0.3428,
|
1813 |
"step": 1485
|
1814 |
},
|
1815 |
{
|
1816 |
+
"epoch": 2.56,
|
1817 |
+
"learning_rate": 1.2820107331674426e-06,
|
1818 |
+
"loss": 0.3364,
|
1819 |
"step": 1490
|
1820 |
},
|
1821 |
{
|
1822 |
+
"epoch": 2.57,
|
1823 |
+
"learning_rate": 1.2334672938973958e-06,
|
1824 |
+
"loss": 0.3162,
|
1825 |
"step": 1495
|
1826 |
},
|
1827 |
{
|
1828 |
+
"epoch": 2.58,
|
1829 |
+
"learning_rate": 1.1858002733026196e-06,
|
1830 |
+
"loss": 0.2815,
|
1831 |
"step": 1500
|
1832 |
},
|
1833 |
{
|
1834 |
+
"epoch": 2.59,
|
1835 |
+
"learning_rate": 1.139014436809589e-06,
|
1836 |
+
"loss": 0.3064,
|
1837 |
"step": 1505
|
1838 |
},
|
1839 |
{
|
1840 |
+
"epoch": 2.59,
|
1841 |
+
"learning_rate": 1.093114461749948e-06,
|
1842 |
+
"loss": 0.3043,
|
1843 |
"step": 1510
|
1844 |
},
|
1845 |
{
|
1846 |
+
"epoch": 2.6,
|
1847 |
+
"learning_rate": 1.048104936892902e-06,
|
1848 |
+
"loss": 0.3775,
|
1849 |
"step": 1515
|
1850 |
},
|
1851 |
{
|
1852 |
+
"epoch": 2.61,
|
1853 |
+
"learning_rate": 1.003990361986472e-06,
|
1854 |
+
"loss": 0.3461,
|
1855 |
"step": 1520
|
1856 |
},
|
1857 |
{
|
1858 |
+
"epoch": 2.62,
|
1859 |
+
"learning_rate": 9.607751473076232e-07,
|
1860 |
+
"loss": 0.3095,
|
1861 |
"step": 1525
|
1862 |
},
|
1863 |
{
|
1864 |
+
"epoch": 2.63,
|
1865 |
+
"learning_rate": 9.18463613221372e-07,
|
1866 |
+
"loss": 0.2902,
|
1867 |
"step": 1530
|
1868 |
},
|
1869 |
{
|
1870 |
+
"epoch": 2.64,
|
1871 |
+
"learning_rate": 8.770599897488563e-07,
|
1872 |
+
"loss": 0.3263,
|
1873 |
"step": 1535
|
1874 |
},
|
1875 |
{
|
1876 |
+
"epoch": 2.65,
|
1877 |
+
"learning_rate": 8.365684161444454e-07,
|
1878 |
+
"loss": 0.3094,
|
1879 |
"step": 1540
|
1880 |
},
|
1881 |
{
|
1882 |
+
"epoch": 2.65,
|
1883 |
+
"learning_rate": 7.969929404819377e-07,
|
1884 |
+
"loss": 0.3099,
|
1885 |
"step": 1545
|
1886 |
},
|
1887 |
{
|
1888 |
+
"epoch": 2.66,
|
1889 |
+
"learning_rate": 7.583375192498422e-07,
|
1890 |
+
"loss": 0.3441,
|
1891 |
"step": 1550
|
1892 |
},
|
1893 |
{
|
1894 |
+
"epoch": 2.67,
|
1895 |
+
"learning_rate": 7.206060169558482e-07,
|
1896 |
+
"loss": 0.3085,
|
1897 |
"step": 1555
|
1898 |
},
|
1899 |
{
|
1900 |
+
"epoch": 2.68,
|
1901 |
+
"learning_rate": 6.838022057404848e-07,
|
1902 |
+
"loss": 0.2788,
|
1903 |
"step": 1560
|
1904 |
},
|
1905 |
{
|
1906 |
+
"epoch": 2.69,
|
1907 |
+
"learning_rate": 6.479297649999839e-07,
|
1908 |
+
"loss": 0.3381,
|
1909 |
"step": 1565
|
1910 |
},
|
1911 |
{
|
1912 |
+
"epoch": 2.7,
|
1913 |
+
"learning_rate": 6.129922810184663e-07,
|
1914 |
+
"loss": 0.3003,
|
1915 |
"step": 1570
|
1916 |
},
|
1917 |
{
|
1918 |
+
"epoch": 2.71,
|
1919 |
+
"learning_rate": 5.789932466093884e-07,
|
1920 |
+
"loss": 0.3267,
|
1921 |
"step": 1575
|
1922 |
},
|
1923 |
{
|
1924 |
+
"epoch": 2.71,
|
1925 |
+
"learning_rate": 5.459360607663644e-07,
|
1926 |
+
"loss": 0.3103,
|
1927 |
"step": 1580
|
1928 |
},
|
1929 |
{
|
1930 |
+
"epoch": 2.72,
|
1931 |
+
"learning_rate": 5.138240283233631e-07,
|
1932 |
+
"loss": 0.2711,
|
1933 |
"step": 1585
|
1934 |
},
|
1935 |
{
|
1936 |
+
"epoch": 2.73,
|
1937 |
+
"learning_rate": 4.826603596242918e-07,
|
1938 |
+
"loss": 0.3007,
|
1939 |
"step": 1590
|
1940 |
},
|
1941 |
{
|
1942 |
+
"epoch": 2.74,
|
1943 |
+
"learning_rate": 4.5244817020207775e-07,
|
1944 |
+
"loss": 0.3087,
|
1945 |
"step": 1595
|
1946 |
},
|
1947 |
{
|
1948 |
+
"epoch": 2.75,
|
1949 |
+
"learning_rate": 4.231904804671727e-07,
|
1950 |
+
"loss": 0.3132,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1951 |
"step": 1600
|
1952 |
},
|
1953 |
{
|
1954 |
+
"epoch": 2.76,
|
1955 |
+
"learning_rate": 3.9489021540560114e-07,
|
1956 |
+
"loss": 0.3119,
|
1957 |
"step": 1605
|
1958 |
},
|
1959 |
{
|
1960 |
+
"epoch": 2.77,
|
1961 |
+
"learning_rate": 3.6755020428654974e-07,
|
1962 |
+
"loss": 0.2992,
|
1963 |
"step": 1610
|
1964 |
},
|
1965 |
{
|
1966 |
+
"epoch": 2.77,
|
1967 |
+
"learning_rate": 3.411731803794982e-07,
|
1968 |
+
"loss": 0.3365,
|
1969 |
"step": 1615
|
1970 |
},
|
1971 |
{
|
1972 |
+
"epoch": 2.78,
|
1973 |
+
"learning_rate": 3.1576178068098205e-07,
|
1974 |
+
"loss": 0.3505,
|
1975 |
"step": 1620
|
1976 |
},
|
1977 |
{
|
1978 |
+
"epoch": 2.79,
|
1979 |
+
"learning_rate": 2.913185456509537e-07,
|
1980 |
+
"loss": 0.3634,
|
1981 |
"step": 1625
|
1982 |
},
|
1983 |
{
|
1984 |
+
"epoch": 2.8,
|
1985 |
+
"learning_rate": 2.678459189588045e-07,
|
1986 |
+
"loss": 0.3027,
|
1987 |
"step": 1630
|
1988 |
},
|
1989 |
{
|
1990 |
+
"epoch": 2.81,
|
1991 |
+
"learning_rate": 2.453462472390711e-07,
|
1992 |
+
"loss": 0.3239,
|
1993 |
"step": 1635
|
1994 |
},
|
1995 |
{
|
1996 |
+
"epoch": 2.82,
|
1997 |
+
"learning_rate": 2.238217798568254e-07,
|
1998 |
+
"loss": 0.3222,
|
1999 |
"step": 1640
|
2000 |
},
|
2001 |
{
|
2002 |
+
"epoch": 2.83,
|
2003 |
+
"learning_rate": 2.0327466868280354e-07,
|
2004 |
+
"loss": 0.3058,
|
2005 |
"step": 1645
|
2006 |
},
|
2007 |
{
|
2008 |
+
"epoch": 2.84,
|
2009 |
+
"learning_rate": 1.8370696787827658e-07,
|
2010 |
+
"loss": 0.3013,
|
2011 |
"step": 1650
|
2012 |
},
|
2013 |
{
|
2014 |
+
"epoch": 2.84,
|
2015 |
+
"learning_rate": 1.6512063368968488e-07,
|
2016 |
+
"loss": 0.2995,
|
2017 |
"step": 1655
|
2018 |
},
|
2019 |
{
|
2020 |
+
"epoch": 2.85,
|
2021 |
+
"learning_rate": 1.4751752425307243e-07,
|
2022 |
+
"loss": 0.325,
|
2023 |
"step": 1660
|
2024 |
},
|
2025 |
{
|
2026 |
+
"epoch": 2.86,
|
2027 |
+
"learning_rate": 1.3089939940831854e-07,
|
2028 |
+
"loss": 0.3107,
|
2029 |
"step": 1665
|
2030 |
},
|
2031 |
{
|
2032 |
+
"epoch": 2.87,
|
2033 |
+
"learning_rate": 1.1526792052319769e-07,
|
2034 |
+
"loss": 0.3109,
|
2035 |
"step": 1670
|
2036 |
},
|
2037 |
{
|
2038 |
+
"epoch": 2.88,
|
2039 |
+
"learning_rate": 1.0062465032729896e-07,
|
2040 |
+
"loss": 0.3114,
|
2041 |
"step": 1675
|
2042 |
},
|
2043 |
{
|
2044 |
+
"epoch": 2.89,
|
2045 |
+
"learning_rate": 8.697105275577989e-08,
|
2046 |
+
"loss": 0.3613,
|
2047 |
"step": 1680
|
2048 |
},
|
2049 |
{
|
2050 |
+
"epoch": 2.9,
|
2051 |
+
"learning_rate": 7.430849280302465e-08,
|
2052 |
+
"loss": 0.3221,
|
2053 |
"step": 1685
|
2054 |
},
|
2055 |
{
|
2056 |
+
"epoch": 2.9,
|
2057 |
+
"learning_rate": 6.263823638617328e-08,
|
2058 |
+
"loss": 0.286,
|
2059 |
"step": 1690
|
2060 |
},
|
2061 |
{
|
2062 |
+
"epoch": 2.91,
|
2063 |
+
"learning_rate": 5.196145021856836e-08,
|
2064 |
+
"loss": 0.3689,
|
2065 |
"step": 1695
|
2066 |
},
|
2067 |
{
|
2068 |
+
"epoch": 2.92,
|
2069 |
+
"learning_rate": 4.2279201693110615e-08,
|
2070 |
+
"loss": 0.3032,
|
2071 |
"step": 1700
|
2072 |
},
|
2073 |
{
|
2074 |
+
"epoch": 2.93,
|
2075 |
+
"learning_rate": 3.359245877555428e-08,
|
2076 |
+
"loss": 0.3079,
|
2077 |
"step": 1705
|
2078 |
},
|
2079 |
{
|
2080 |
+
"epoch": 2.94,
|
2081 |
+
"learning_rate": 2.5902089907730022e-08,
|
2082 |
+
"loss": 0.3242,
|
2083 |
"step": 1710
|
2084 |
},
|
2085 |
{
|
2086 |
+
"epoch": 2.95,
|
2087 |
+
"learning_rate": 1.920886392072885e-08,
|
2088 |
+
"loss": 0.3382,
|
2089 |
"step": 1715
|
2090 |
},
|
2091 |
{
|
2092 |
+
"epoch": 2.96,
|
2093 |
+
"learning_rate": 1.3513449958034718e-08,
|
2094 |
+
"loss": 0.329,
|
2095 |
"step": 1720
|
2096 |
},
|
2097 |
{
|
2098 |
+
"epoch": 2.96,
|
2099 |
+
"learning_rate": 8.816417408634704e-09,
|
2100 |
+
"loss": 0.3636,
|
2101 |
"step": 1725
|
2102 |
},
|
2103 |
{
|
2104 |
+
"epoch": 2.97,
|
2105 |
+
"learning_rate": 5.11823585008675e-09,
|
2106 |
+
"loss": 0.3181,
|
2107 |
"step": 1730
|
2108 |
},
|
2109 |
{
|
2110 |
+
"epoch": 2.98,
|
2111 |
+
"learning_rate": 2.4192750015850088e-09,
|
2112 |
+
"loss": 0.3656,
|
2113 |
"step": 1735
|
2114 |
},
|
2115 |
{
|
2116 |
+
"epoch": 2.99,
|
2117 |
+
"learning_rate": 7.198046869882902e-10,
|
2118 |
+
"loss": 0.3502,
|
2119 |
"step": 1740
|
2120 |
},
|
2121 |
{
|
2122 |
+
"epoch": 3.0,
|
2123 |
+
"learning_rate": 1.999480784942165e-11,
|
2124 |
+
"loss": 0.3156,
|
2125 |
"step": 1745
|
2126 |
},
|
2127 |
{
|
2128 |
+
"epoch": 3.0,
|
2129 |
+
"eval_loss": 1.7387598752975464,
|
2130 |
+
"eval_runtime": 133.3136,
|
2131 |
+
"eval_samples_per_second": 10.224,
|
2132 |
+
"eval_steps_per_second": 0.113,
|
2133 |
+
"step": 1746
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2134 |
},
|
2135 |
{
|
2136 |
"epoch": 3.0,
|
2137 |
+
"step": 1746,
|
2138 |
+
"total_flos": 1230956927057920.0,
|
2139 |
+
"train_loss": 0.872046828952715,
|
2140 |
+
"train_runtime": 30104.3205,
|
2141 |
+
"train_samples_per_second": 2.783,
|
2142 |
+
"train_steps_per_second": 0.058
|
2143 |
}
|
2144 |
],
|
2145 |
"logging_steps": 5,
|
2146 |
+
"max_steps": 1746,
|
2147 |
"num_train_epochs": 3,
|
2148 |
+
"save_steps": 500,
|
2149 |
+
"total_flos": 1230956927057920.0,
|
2150 |
"trial_name": null,
|
2151 |
"trial_params": null
|
2152 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5b0290edc7be3949c10c128c426498fb54dddfcd02410971074d0790c2b6ac2b
|
3 |
+
size 5816
|