End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.499075140657518,
|
4 |
+
"eval_loss": 2.47538685798645,
|
5 |
+
"eval_runtime": 3.3452,
|
6 |
+
"eval_samples": 4491,
|
7 |
+
"eval_samples_per_second": 1342.504,
|
8 |
+
"eval_steps_per_second": 10.762,
|
9 |
+
"perplexity": 11.886304535606232,
|
10 |
+
"train_loss": 2.568481111787056,
|
11 |
+
"train_runtime": 765.1195,
|
12 |
+
"train_samples": 46845,
|
13 |
+
"train_samples_per_second": 612.257,
|
14 |
+
"train_steps_per_second": 38.269
|
15 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.499075140657518,
|
4 |
+
"eval_loss": 2.47538685798645,
|
5 |
+
"eval_runtime": 3.3452,
|
6 |
+
"eval_samples": 4491,
|
7 |
+
"eval_samples_per_second": 1342.504,
|
8 |
+
"eval_steps_per_second": 10.762,
|
9 |
+
"perplexity": 11.886304535606232
|
10 |
+
}
|
runs/Mar13_12-47-28_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1710352821.phyl-ling-p01.la.utexas.edu.52486.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c24984b7daa90dccd170e4054b9467c55e7be01deba712bda03893ff7bfe34e0
|
3 |
+
size 417
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"train_loss": 2.568481111787056,
|
4 |
+
"train_runtime": 765.1195,
|
5 |
+
"train_samples": 46845,
|
6 |
+
"train_samples_per_second": 612.257,
|
7 |
+
"train_steps_per_second": 38.269
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,526 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 29280,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.17,
|
13 |
+
"grad_norm": 1.3676248788833618,
|
14 |
+
"learning_rate": 6.25e-05,
|
15 |
+
"loss": 6.1929,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.34,
|
20 |
+
"grad_norm": 0.8271423578262329,
|
21 |
+
"learning_rate": 0.000125,
|
22 |
+
"loss": 3.6201,
|
23 |
+
"step": 1000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.51,
|
27 |
+
"grad_norm": 1.0618003606796265,
|
28 |
+
"learning_rate": 0.0001875,
|
29 |
+
"loss": 3.3367,
|
30 |
+
"step": 1500
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.68,
|
34 |
+
"grad_norm": 1.0157318115234375,
|
35 |
+
"learning_rate": 0.00025,
|
36 |
+
"loss": 3.1626,
|
37 |
+
"step": 2000
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.85,
|
41 |
+
"grad_norm": 0.9570010304450989,
|
42 |
+
"learning_rate": 0.0003125,
|
43 |
+
"loss": 3.0383,
|
44 |
+
"step": 2500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.4371174545065634,
|
49 |
+
"eval_loss": 3.0183205604553223,
|
50 |
+
"eval_runtime": 3.2884,
|
51 |
+
"eval_samples_per_second": 1365.698,
|
52 |
+
"eval_steps_per_second": 10.947,
|
53 |
+
"step": 2928
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.02,
|
57 |
+
"grad_norm": 0.9757611751556396,
|
58 |
+
"learning_rate": 0.000375,
|
59 |
+
"loss": 2.9504,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.2,
|
64 |
+
"grad_norm": 0.9592107534408569,
|
65 |
+
"learning_rate": 0.00043750000000000006,
|
66 |
+
"loss": 2.8615,
|
67 |
+
"step": 3500
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 1.37,
|
71 |
+
"grad_norm": 0.9070651531219482,
|
72 |
+
"learning_rate": 0.0005,
|
73 |
+
"loss": 2.8223,
|
74 |
+
"step": 4000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.54,
|
78 |
+
"grad_norm": 0.8300113677978516,
|
79 |
+
"learning_rate": 0.0005625000000000001,
|
80 |
+
"loss": 2.7679,
|
81 |
+
"step": 4500
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.71,
|
85 |
+
"grad_norm": 0.8314893245697021,
|
86 |
+
"learning_rate": 0.000625,
|
87 |
+
"loss": 2.7455,
|
88 |
+
"step": 5000
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 1.88,
|
92 |
+
"grad_norm": 0.8281814455986023,
|
93 |
+
"learning_rate": 0.0006875,
|
94 |
+
"loss": 2.7202,
|
95 |
+
"step": 5500
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 2.0,
|
99 |
+
"eval_accuracy": 0.4601416305927691,
|
100 |
+
"eval_loss": 2.784088611602783,
|
101 |
+
"eval_runtime": 3.3962,
|
102 |
+
"eval_samples_per_second": 1322.357,
|
103 |
+
"eval_steps_per_second": 10.6,
|
104 |
+
"step": 5856
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 2.05,
|
108 |
+
"grad_norm": 0.796658456325531,
|
109 |
+
"learning_rate": 0.00075,
|
110 |
+
"loss": 2.6877,
|
111 |
+
"step": 6000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.22,
|
115 |
+
"grad_norm": 0.8038381934165955,
|
116 |
+
"learning_rate": 0.0008125,
|
117 |
+
"loss": 2.6236,
|
118 |
+
"step": 6500
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 2.39,
|
122 |
+
"grad_norm": 0.7780303359031677,
|
123 |
+
"learning_rate": 0.0008750000000000001,
|
124 |
+
"loss": 2.6091,
|
125 |
+
"step": 7000
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 2.56,
|
129 |
+
"grad_norm": 0.7377750277519226,
|
130 |
+
"learning_rate": 0.0009375,
|
131 |
+
"loss": 2.6178,
|
132 |
+
"step": 7500
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 2.73,
|
136 |
+
"grad_norm": 0.6352299451828003,
|
137 |
+
"learning_rate": 0.001,
|
138 |
+
"loss": 2.5939,
|
139 |
+
"step": 8000
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 2.9,
|
143 |
+
"grad_norm": 0.664020836353302,
|
144 |
+
"learning_rate": 0.0010625,
|
145 |
+
"loss": 2.5954,
|
146 |
+
"step": 8500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 3.0,
|
150 |
+
"eval_accuracy": 0.46891332972156036,
|
151 |
+
"eval_loss": 2.701345443725586,
|
152 |
+
"eval_runtime": 3.4037,
|
153 |
+
"eval_samples_per_second": 1319.439,
|
154 |
+
"eval_steps_per_second": 10.577,
|
155 |
+
"step": 8784
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 3.07,
|
159 |
+
"grad_norm": 0.5852430462837219,
|
160 |
+
"learning_rate": 0.0011250000000000001,
|
161 |
+
"loss": 2.5482,
|
162 |
+
"step": 9000
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 3.24,
|
166 |
+
"grad_norm": 0.5592005252838135,
|
167 |
+
"learning_rate": 0.0011875,
|
168 |
+
"loss": 2.5147,
|
169 |
+
"step": 9500
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 3.42,
|
173 |
+
"grad_norm": 0.5826843976974487,
|
174 |
+
"learning_rate": 0.00125,
|
175 |
+
"loss": 2.5198,
|
176 |
+
"step": 10000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 3.59,
|
180 |
+
"grad_norm": 0.560430645942688,
|
181 |
+
"learning_rate": 0.0013125,
|
182 |
+
"loss": 2.5193,
|
183 |
+
"step": 10500
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 3.76,
|
187 |
+
"grad_norm": 0.5494054555892944,
|
188 |
+
"learning_rate": 0.001375,
|
189 |
+
"loss": 2.5194,
|
190 |
+
"step": 11000
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 3.93,
|
194 |
+
"grad_norm": 0.49182966351509094,
|
195 |
+
"learning_rate": 0.0014375000000000002,
|
196 |
+
"loss": 2.5123,
|
197 |
+
"step": 11500
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 4.0,
|
201 |
+
"eval_accuracy": 0.4754934190340436,
|
202 |
+
"eval_loss": 2.6403415203094482,
|
203 |
+
"eval_runtime": 3.3923,
|
204 |
+
"eval_samples_per_second": 1323.894,
|
205 |
+
"eval_steps_per_second": 10.612,
|
206 |
+
"step": 11712
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 4.1,
|
210 |
+
"grad_norm": 0.5087066292762756,
|
211 |
+
"learning_rate": 0.0015,
|
212 |
+
"loss": 2.4619,
|
213 |
+
"step": 12000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.27,
|
217 |
+
"grad_norm": 0.4928716719150543,
|
218 |
+
"learning_rate": 0.0015625,
|
219 |
+
"loss": 2.4478,
|
220 |
+
"step": 12500
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 4.44,
|
224 |
+
"grad_norm": 0.41928255558013916,
|
225 |
+
"learning_rate": 0.001625,
|
226 |
+
"loss": 2.4609,
|
227 |
+
"step": 13000
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 4.61,
|
231 |
+
"grad_norm": 0.4840702414512634,
|
232 |
+
"learning_rate": 0.0016875,
|
233 |
+
"loss": 2.4698,
|
234 |
+
"step": 13500
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 4.78,
|
238 |
+
"grad_norm": 0.397327721118927,
|
239 |
+
"learning_rate": 0.0017500000000000003,
|
240 |
+
"loss": 2.4584,
|
241 |
+
"step": 14000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 4.95,
|
245 |
+
"grad_norm": 0.37015002965927124,
|
246 |
+
"learning_rate": 0.0018124999999999999,
|
247 |
+
"loss": 2.4613,
|
248 |
+
"step": 14500
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 5.0,
|
252 |
+
"eval_accuracy": 0.48022028308585674,
|
253 |
+
"eval_loss": 2.604732036590576,
|
254 |
+
"eval_runtime": 3.3941,
|
255 |
+
"eval_samples_per_second": 1323.178,
|
256 |
+
"eval_steps_per_second": 10.607,
|
257 |
+
"step": 14640
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 5.12,
|
261 |
+
"grad_norm": 0.3754883408546448,
|
262 |
+
"learning_rate": 0.001875,
|
263 |
+
"loss": 2.411,
|
264 |
+
"step": 15000
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 5.29,
|
268 |
+
"grad_norm": 0.40850552916526794,
|
269 |
+
"learning_rate": 0.0019375000000000002,
|
270 |
+
"loss": 2.4024,
|
271 |
+
"step": 15500
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 5.46,
|
275 |
+
"grad_norm": 0.3658270537853241,
|
276 |
+
"learning_rate": 0.002,
|
277 |
+
"loss": 2.4077,
|
278 |
+
"step": 16000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 5.64,
|
282 |
+
"grad_norm": 0.4083290696144104,
|
283 |
+
"learning_rate": 0.0020625,
|
284 |
+
"loss": 2.4324,
|
285 |
+
"step": 16500
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 5.81,
|
289 |
+
"grad_norm": 0.388753205537796,
|
290 |
+
"learning_rate": 0.002125,
|
291 |
+
"loss": 2.425,
|
292 |
+
"step": 17000
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 5.98,
|
296 |
+
"grad_norm": 0.30247732996940613,
|
297 |
+
"learning_rate": 0.0021874999999999998,
|
298 |
+
"loss": 2.4261,
|
299 |
+
"step": 17500
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 6.0,
|
303 |
+
"eval_accuracy": 0.48243293235640133,
|
304 |
+
"eval_loss": 2.5919439792633057,
|
305 |
+
"eval_runtime": 3.3927,
|
306 |
+
"eval_samples_per_second": 1323.74,
|
307 |
+
"eval_steps_per_second": 10.611,
|
308 |
+
"step": 17568
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 6.15,
|
312 |
+
"grad_norm": 0.34406954050064087,
|
313 |
+
"learning_rate": 0.0022500000000000003,
|
314 |
+
"loss": 2.3551,
|
315 |
+
"step": 18000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 6.32,
|
319 |
+
"grad_norm": 0.3480839729309082,
|
320 |
+
"learning_rate": 0.0023125000000000003,
|
321 |
+
"loss": 2.3652,
|
322 |
+
"step": 18500
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 6.49,
|
326 |
+
"grad_norm": 0.3208664059638977,
|
327 |
+
"learning_rate": 0.002375,
|
328 |
+
"loss": 2.3746,
|
329 |
+
"step": 19000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 6.66,
|
333 |
+
"grad_norm": 0.30590417981147766,
|
334 |
+
"learning_rate": 0.0024375,
|
335 |
+
"loss": 2.3918,
|
336 |
+
"step": 19500
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 6.83,
|
340 |
+
"grad_norm": 0.33193260431289673,
|
341 |
+
"learning_rate": 0.0025,
|
342 |
+
"loss": 2.3906,
|
343 |
+
"step": 20000
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 7.0,
|
347 |
+
"eval_accuracy": 0.48501201878823264,
|
348 |
+
"eval_loss": 2.5665977001190186,
|
349 |
+
"eval_runtime": 3.4053,
|
350 |
+
"eval_samples_per_second": 1318.819,
|
351 |
+
"eval_steps_per_second": 10.572,
|
352 |
+
"step": 20496
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.0,
|
356 |
+
"grad_norm": 0.31459102034568787,
|
357 |
+
"learning_rate": 0.0025625,
|
358 |
+
"loss": 2.3979,
|
359 |
+
"step": 20500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.17,
|
363 |
+
"grad_norm": 0.3610854148864746,
|
364 |
+
"learning_rate": 0.002625,
|
365 |
+
"loss": 2.3098,
|
366 |
+
"step": 21000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 7.34,
|
370 |
+
"grad_norm": 0.3405974209308624,
|
371 |
+
"learning_rate": 0.0026875000000000002,
|
372 |
+
"loss": 2.3376,
|
373 |
+
"step": 21500
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 7.51,
|
377 |
+
"grad_norm": 0.32892337441444397,
|
378 |
+
"learning_rate": 0.00275,
|
379 |
+
"loss": 2.3508,
|
380 |
+
"step": 22000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 7.68,
|
384 |
+
"grad_norm": 0.33222299814224243,
|
385 |
+
"learning_rate": 0.0028125,
|
386 |
+
"loss": 2.3573,
|
387 |
+
"step": 22500
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 7.86,
|
391 |
+
"grad_norm": 0.31080856919288635,
|
392 |
+
"learning_rate": 0.0028750000000000004,
|
393 |
+
"loss": 2.3601,
|
394 |
+
"step": 23000
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 8.0,
|
398 |
+
"eval_accuracy": 0.48613061643847627,
|
399 |
+
"eval_loss": 2.5550413131713867,
|
400 |
+
"eval_runtime": 3.4064,
|
401 |
+
"eval_samples_per_second": 1318.419,
|
402 |
+
"eval_steps_per_second": 10.568,
|
403 |
+
"step": 23424
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 8.03,
|
407 |
+
"grad_norm": 0.35419604182243347,
|
408 |
+
"learning_rate": 0.0029375,
|
409 |
+
"loss": 2.3599,
|
410 |
+
"step": 23500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 8.2,
|
414 |
+
"grad_norm": 0.3225402235984802,
|
415 |
+
"learning_rate": 0.003,
|
416 |
+
"loss": 2.2923,
|
417 |
+
"step": 24000
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 8.37,
|
421 |
+
"grad_norm": 0.3462129235267639,
|
422 |
+
"learning_rate": 0.002715909090909091,
|
423 |
+
"loss": 2.3112,
|
424 |
+
"step": 24500
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 8.54,
|
428 |
+
"grad_norm": 0.3057979941368103,
|
429 |
+
"learning_rate": 0.0024318181818181817,
|
430 |
+
"loss": 2.3082,
|
431 |
+
"step": 25000
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 8.71,
|
435 |
+
"grad_norm": 0.3206704258918762,
|
436 |
+
"learning_rate": 0.002147727272727273,
|
437 |
+
"loss": 2.2996,
|
438 |
+
"step": 25500
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 8.88,
|
442 |
+
"grad_norm": 0.2941910922527313,
|
443 |
+
"learning_rate": 0.0018636363636363638,
|
444 |
+
"loss": 2.2843,
|
445 |
+
"step": 26000
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 9.0,
|
449 |
+
"eval_accuracy": 0.4939643065658877,
|
450 |
+
"eval_loss": 2.5031280517578125,
|
451 |
+
"eval_runtime": 3.3967,
|
452 |
+
"eval_samples_per_second": 1322.152,
|
453 |
+
"eval_steps_per_second": 10.598,
|
454 |
+
"step": 26352
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 9.05,
|
458 |
+
"grad_norm": 0.3082716464996338,
|
459 |
+
"learning_rate": 0.0015795454545454546,
|
460 |
+
"loss": 2.2365,
|
461 |
+
"step": 26500
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 9.22,
|
465 |
+
"grad_norm": 0.29701223969459534,
|
466 |
+
"learning_rate": 0.0012954545454545456,
|
467 |
+
"loss": 2.1701,
|
468 |
+
"step": 27000
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 9.39,
|
472 |
+
"grad_norm": 0.3021478056907654,
|
473 |
+
"learning_rate": 0.0010113636363636364,
|
474 |
+
"loss": 2.1685,
|
475 |
+
"step": 27500
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 9.56,
|
479 |
+
"grad_norm": 0.3144983649253845,
|
480 |
+
"learning_rate": 0.0007272727272727273,
|
481 |
+
"loss": 2.1654,
|
482 |
+
"step": 28000
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 9.73,
|
486 |
+
"grad_norm": 0.32024458050727844,
|
487 |
+
"learning_rate": 0.0004431818181818182,
|
488 |
+
"loss": 2.1508,
|
489 |
+
"step": 28500
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 9.9,
|
493 |
+
"grad_norm": 0.27385374903678894,
|
494 |
+
"learning_rate": 0.0001590909090909091,
|
495 |
+
"loss": 2.1392,
|
496 |
+
"step": 29000
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 10.0,
|
500 |
+
"eval_accuracy": 0.499075140657518,
|
501 |
+
"eval_loss": 2.47538685798645,
|
502 |
+
"eval_runtime": 3.3927,
|
503 |
+
"eval_samples_per_second": 1323.721,
|
504 |
+
"eval_steps_per_second": 10.611,
|
505 |
+
"step": 29280
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 10.0,
|
509 |
+
"step": 29280,
|
510 |
+
"total_flos": 2273237316403200.0,
|
511 |
+
"train_loss": 2.568481111787056,
|
512 |
+
"train_runtime": 765.1195,
|
513 |
+
"train_samples_per_second": 612.257,
|
514 |
+
"train_steps_per_second": 38.269
|
515 |
+
}
|
516 |
+
],
|
517 |
+
"logging_steps": 500,
|
518 |
+
"max_steps": 29280,
|
519 |
+
"num_input_tokens_seen": 0,
|
520 |
+
"num_train_epochs": 10,
|
521 |
+
"save_steps": 2000,
|
522 |
+
"total_flos": 2273237316403200.0,
|
523 |
+
"train_batch_size": 16,
|
524 |
+
"trial_name": null,
|
525 |
+
"trial_params": null
|
526 |
+
}
|