Upload checkpoint-500/trainer_state.json with huggingface_hub
Browse files
checkpoint-500/trainer_state.json
ADDED
@@ -0,0 +1,741 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.4938061535358429,
|
3 |
+
"best_model_checkpoint": "/home/ray/default/save/checkpoint-500",
|
4 |
+
"epoch": 0.43327556325823224,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.004332755632582322,
|
13 |
+
"grad_norm": 0.10313185304403305,
|
14 |
+
"learning_rate": 8.333333333333333e-07,
|
15 |
+
"loss": 1.0706,
|
16 |
+
"step": 5
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.008665511265164644,
|
20 |
+
"grad_norm": 0.10810094326734543,
|
21 |
+
"learning_rate": 1.6666666666666667e-06,
|
22 |
+
"loss": 1.0694,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.012998266897746967,
|
27 |
+
"grad_norm": 0.09731286019086838,
|
28 |
+
"learning_rate": 2.5e-06,
|
29 |
+
"loss": 1.0706,
|
30 |
+
"step": 15
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01733102253032929,
|
34 |
+
"grad_norm": 0.11459868401288986,
|
35 |
+
"learning_rate": 3.3333333333333333e-06,
|
36 |
+
"loss": 1.0772,
|
37 |
+
"step": 20
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.021663778162911613,
|
41 |
+
"grad_norm": 0.10845116525888443,
|
42 |
+
"learning_rate": 4.166666666666667e-06,
|
43 |
+
"loss": 1.0809,
|
44 |
+
"step": 25
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.025996533795493933,
|
48 |
+
"grad_norm": 0.12091381102800369,
|
49 |
+
"learning_rate": 5e-06,
|
50 |
+
"loss": 1.0737,
|
51 |
+
"step": 30
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.030329289428076257,
|
55 |
+
"grad_norm": 0.12315661460161209,
|
56 |
+
"learning_rate": 5.833333333333334e-06,
|
57 |
+
"loss": 1.0675,
|
58 |
+
"step": 35
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.03466204506065858,
|
62 |
+
"grad_norm": 0.13054250180721283,
|
63 |
+
"learning_rate": 6.666666666666667e-06,
|
64 |
+
"loss": 1.0638,
|
65 |
+
"step": 40
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.0389948006932409,
|
69 |
+
"grad_norm": 0.13414187729358673,
|
70 |
+
"learning_rate": 7.5e-06,
|
71 |
+
"loss": 1.0588,
|
72 |
+
"step": 45
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.043327556325823226,
|
76 |
+
"grad_norm": 0.12992985546588898,
|
77 |
+
"learning_rate": 8.333333333333334e-06,
|
78 |
+
"loss": 1.0512,
|
79 |
+
"step": 50
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.047660311958405546,
|
83 |
+
"grad_norm": 0.11500700563192368,
|
84 |
+
"learning_rate": 9.166666666666666e-06,
|
85 |
+
"loss": 1.0545,
|
86 |
+
"step": 55
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.05199306759098787,
|
90 |
+
"grad_norm": 0.10958714783191681,
|
91 |
+
"learning_rate": 1e-05,
|
92 |
+
"loss": 1.0357,
|
93 |
+
"step": 60
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.05632582322357019,
|
97 |
+
"grad_norm": 0.10853663086891174,
|
98 |
+
"learning_rate": 1.0833333333333334e-05,
|
99 |
+
"loss": 1.0268,
|
100 |
+
"step": 65
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.060658578856152515,
|
104 |
+
"grad_norm": 0.12498235702514648,
|
105 |
+
"learning_rate": 1.1666666666666668e-05,
|
106 |
+
"loss": 1.0135,
|
107 |
+
"step": 70
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.06499133448873484,
|
111 |
+
"grad_norm": 0.11716682463884354,
|
112 |
+
"learning_rate": 1.25e-05,
|
113 |
+
"loss": 1.0014,
|
114 |
+
"step": 75
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06932409012131716,
|
118 |
+
"grad_norm": 0.09530466794967651,
|
119 |
+
"learning_rate": 1.3333333333333333e-05,
|
120 |
+
"loss": 0.9824,
|
121 |
+
"step": 80
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.07365684575389948,
|
125 |
+
"grad_norm": 0.09298353642225266,
|
126 |
+
"learning_rate": 1.4166666666666668e-05,
|
127 |
+
"loss": 0.9676,
|
128 |
+
"step": 85
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.0779896013864818,
|
132 |
+
"grad_norm": 0.09433547407388687,
|
133 |
+
"learning_rate": 1.5e-05,
|
134 |
+
"loss": 0.9463,
|
135 |
+
"step": 90
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.08232235701906412,
|
139 |
+
"grad_norm": 0.09255563467741013,
|
140 |
+
"learning_rate": 1.5833333333333333e-05,
|
141 |
+
"loss": 0.9341,
|
142 |
+
"step": 95
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.08665511265164645,
|
146 |
+
"grad_norm": 0.09951213002204895,
|
147 |
+
"learning_rate": 1.6666666666666667e-05,
|
148 |
+
"loss": 0.9209,
|
149 |
+
"step": 100
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.09098786828422877,
|
153 |
+
"grad_norm": 0.10951012372970581,
|
154 |
+
"learning_rate": 1.75e-05,
|
155 |
+
"loss": 0.8927,
|
156 |
+
"step": 105
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.09532062391681109,
|
160 |
+
"grad_norm": 0.110866479575634,
|
161 |
+
"learning_rate": 1.8333333333333333e-05,
|
162 |
+
"loss": 0.8755,
|
163 |
+
"step": 110
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.09965337954939342,
|
167 |
+
"grad_norm": 0.11648208647966385,
|
168 |
+
"learning_rate": 1.9166666666666667e-05,
|
169 |
+
"loss": 0.8453,
|
170 |
+
"step": 115
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.10398613518197573,
|
174 |
+
"grad_norm": 0.12016862630844116,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.8081,
|
177 |
+
"step": 120
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.10831889081455806,
|
181 |
+
"grad_norm": 0.12387488037347794,
|
182 |
+
"learning_rate": 2.0833333333333336e-05,
|
183 |
+
"loss": 0.7784,
|
184 |
+
"step": 125
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.11265164644714037,
|
188 |
+
"grad_norm": 0.12779255211353302,
|
189 |
+
"learning_rate": 2.1666666666666667e-05,
|
190 |
+
"loss": 0.7353,
|
191 |
+
"step": 130
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.1169844020797227,
|
195 |
+
"grad_norm": 0.12649372220039368,
|
196 |
+
"learning_rate": 2.25e-05,
|
197 |
+
"loss": 0.7085,
|
198 |
+
"step": 135
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.12131715771230503,
|
202 |
+
"grad_norm": 0.1445430964231491,
|
203 |
+
"learning_rate": 2.3333333333333336e-05,
|
204 |
+
"loss": 0.6753,
|
205 |
+
"step": 140
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.12564991334488734,
|
209 |
+
"grad_norm": 0.1329505294561386,
|
210 |
+
"learning_rate": 2.4166666666666667e-05,
|
211 |
+
"loss": 0.6448,
|
212 |
+
"step": 145
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.12998266897746968,
|
216 |
+
"grad_norm": 0.13544394075870514,
|
217 |
+
"learning_rate": 2.5e-05,
|
218 |
+
"loss": 0.621,
|
219 |
+
"step": 150
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.134315424610052,
|
223 |
+
"grad_norm": 0.1351090520620346,
|
224 |
+
"learning_rate": 2.5833333333333336e-05,
|
225 |
+
"loss": 0.5997,
|
226 |
+
"step": 155
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.1386481802426343,
|
230 |
+
"grad_norm": 0.127303346991539,
|
231 |
+
"learning_rate": 2.6666666666666667e-05,
|
232 |
+
"loss": 0.5791,
|
233 |
+
"step": 160
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.14298093587521662,
|
237 |
+
"grad_norm": 0.1476767510175705,
|
238 |
+
"learning_rate": 2.7500000000000004e-05,
|
239 |
+
"loss": 0.57,
|
240 |
+
"step": 165
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.14731369150779897,
|
244 |
+
"grad_norm": 0.13856437802314758,
|
245 |
+
"learning_rate": 2.8333333333333335e-05,
|
246 |
+
"loss": 0.5645,
|
247 |
+
"step": 170
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.15164644714038128,
|
251 |
+
"grad_norm": 0.1533508449792862,
|
252 |
+
"learning_rate": 2.916666666666667e-05,
|
253 |
+
"loss": 0.5583,
|
254 |
+
"step": 175
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.1559792027729636,
|
258 |
+
"grad_norm": 0.13325001299381256,
|
259 |
+
"learning_rate": 3e-05,
|
260 |
+
"loss": 0.555,
|
261 |
+
"step": 180
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.16031195840554593,
|
265 |
+
"grad_norm": 0.13416974246501923,
|
266 |
+
"learning_rate": 3.0833333333333335e-05,
|
267 |
+
"loss": 0.5439,
|
268 |
+
"step": 185
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.16464471403812825,
|
272 |
+
"grad_norm": 0.1278882771730423,
|
273 |
+
"learning_rate": 3.1666666666666666e-05,
|
274 |
+
"loss": 0.537,
|
275 |
+
"step": 190
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.16897746967071056,
|
279 |
+
"grad_norm": 0.14047101140022278,
|
280 |
+
"learning_rate": 3.2500000000000004e-05,
|
281 |
+
"loss": 0.5381,
|
282 |
+
"step": 195
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.1733102253032929,
|
286 |
+
"grad_norm": 0.13340455293655396,
|
287 |
+
"learning_rate": 3.3333333333333335e-05,
|
288 |
+
"loss": 0.5344,
|
289 |
+
"step": 200
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.17764298093587522,
|
293 |
+
"grad_norm": 0.13049094378948212,
|
294 |
+
"learning_rate": 3.4166666666666666e-05,
|
295 |
+
"loss": 0.5291,
|
296 |
+
"step": 205
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.18197573656845753,
|
300 |
+
"grad_norm": 0.16296444833278656,
|
301 |
+
"learning_rate": 3.5e-05,
|
302 |
+
"loss": 0.5342,
|
303 |
+
"step": 210
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.18630849220103987,
|
307 |
+
"grad_norm": 0.1682613343000412,
|
308 |
+
"learning_rate": 3.5833333333333335e-05,
|
309 |
+
"loss": 0.5285,
|
310 |
+
"step": 215
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.19064124783362218,
|
314 |
+
"grad_norm": 0.1439386010169983,
|
315 |
+
"learning_rate": 3.6666666666666666e-05,
|
316 |
+
"loss": 0.5268,
|
317 |
+
"step": 220
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.1949740034662045,
|
321 |
+
"grad_norm": 0.15248768031597137,
|
322 |
+
"learning_rate": 3.7500000000000003e-05,
|
323 |
+
"loss": 0.5252,
|
324 |
+
"step": 225
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.19930675909878684,
|
328 |
+
"grad_norm": 0.1604214906692505,
|
329 |
+
"learning_rate": 3.8333333333333334e-05,
|
330 |
+
"loss": 0.5201,
|
331 |
+
"step": 230
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.20363951473136915,
|
335 |
+
"grad_norm": 0.16192543506622314,
|
336 |
+
"learning_rate": 3.9166666666666665e-05,
|
337 |
+
"loss": 0.5222,
|
338 |
+
"step": 235
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.20797227036395147,
|
342 |
+
"grad_norm": 0.14945088326931,
|
343 |
+
"learning_rate": 4e-05,
|
344 |
+
"loss": 0.5158,
|
345 |
+
"step": 240
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.2123050259965338,
|
349 |
+
"grad_norm": 0.16204427182674408,
|
350 |
+
"learning_rate": 4.0833333333333334e-05,
|
351 |
+
"loss": 0.5127,
|
352 |
+
"step": 245
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.21663778162911612,
|
356 |
+
"grad_norm": 0.1618306040763855,
|
357 |
+
"learning_rate": 4.166666666666667e-05,
|
358 |
+
"loss": 0.5181,
|
359 |
+
"step": 250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.22097053726169844,
|
363 |
+
"grad_norm": 0.14193885028362274,
|
364 |
+
"learning_rate": 4.25e-05,
|
365 |
+
"loss": 0.5164,
|
366 |
+
"step": 255
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.22530329289428075,
|
370 |
+
"grad_norm": 0.12552691996097565,
|
371 |
+
"learning_rate": 4.3333333333333334e-05,
|
372 |
+
"loss": 0.5149,
|
373 |
+
"step": 260
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.2296360485268631,
|
377 |
+
"grad_norm": 0.14471225440502167,
|
378 |
+
"learning_rate": 4.4166666666666665e-05,
|
379 |
+
"loss": 0.5137,
|
380 |
+
"step": 265
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.2339688041594454,
|
384 |
+
"grad_norm": 0.13988590240478516,
|
385 |
+
"learning_rate": 4.5e-05,
|
386 |
+
"loss": 0.5066,
|
387 |
+
"step": 270
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.23830155979202772,
|
391 |
+
"grad_norm": 0.13964875042438507,
|
392 |
+
"learning_rate": 4.5833333333333334e-05,
|
393 |
+
"loss": 0.5116,
|
394 |
+
"step": 275
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.24263431542461006,
|
398 |
+
"grad_norm": 0.12847208976745605,
|
399 |
+
"learning_rate": 4.666666666666667e-05,
|
400 |
+
"loss": 0.5095,
|
401 |
+
"step": 280
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.24696707105719237,
|
405 |
+
"grad_norm": 0.13142219185829163,
|
406 |
+
"learning_rate": 4.75e-05,
|
407 |
+
"loss": 0.5077,
|
408 |
+
"step": 285
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.2512998266897747,
|
412 |
+
"grad_norm": 0.19098567962646484,
|
413 |
+
"learning_rate": 4.8333333333333334e-05,
|
414 |
+
"loss": 0.5099,
|
415 |
+
"step": 290
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.255632582322357,
|
419 |
+
"grad_norm": 0.1430283784866333,
|
420 |
+
"learning_rate": 4.9166666666666665e-05,
|
421 |
+
"loss": 0.5036,
|
422 |
+
"step": 295
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.25996533795493937,
|
426 |
+
"grad_norm": 0.12594453990459442,
|
427 |
+
"learning_rate": 5e-05,
|
428 |
+
"loss": 0.5085,
|
429 |
+
"step": 300
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.26429809358752165,
|
433 |
+
"grad_norm": 0.14377984404563904,
|
434 |
+
"learning_rate": 4.999577115486055e-05,
|
435 |
+
"loss": 0.4978,
|
436 |
+
"step": 305
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.268630849220104,
|
440 |
+
"grad_norm": 0.12468158453702927,
|
441 |
+
"learning_rate": 4.998308605009268e-05,
|
442 |
+
"loss": 0.5095,
|
443 |
+
"step": 310
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.2729636048526863,
|
447 |
+
"grad_norm": 0.12854167819023132,
|
448 |
+
"learning_rate": 4.996194897716389e-05,
|
449 |
+
"loss": 0.5037,
|
450 |
+
"step": 315
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.2772963604852686,
|
454 |
+
"grad_norm": 0.13529527187347412,
|
455 |
+
"learning_rate": 4.993236708690683e-05,
|
456 |
+
"loss": 0.5058,
|
457 |
+
"step": 320
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.28162911611785096,
|
461 |
+
"grad_norm": 0.1377994418144226,
|
462 |
+
"learning_rate": 4.9894350387100126e-05,
|
463 |
+
"loss": 0.4998,
|
464 |
+
"step": 325
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.28596187175043325,
|
468 |
+
"grad_norm": 0.14942322671413422,
|
469 |
+
"learning_rate": 4.984791173908267e-05,
|
470 |
+
"loss": 0.5007,
|
471 |
+
"step": 330
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.2902946273830156,
|
475 |
+
"grad_norm": 0.1366725116968155,
|
476 |
+
"learning_rate": 4.9793066853402536e-05,
|
477 |
+
"loss": 0.5038,
|
478 |
+
"step": 335
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.29462738301559793,
|
482 |
+
"grad_norm": 0.13133087754249573,
|
483 |
+
"learning_rate": 4.9729834284501995e-05,
|
484 |
+
"loss": 0.5062,
|
485 |
+
"step": 340
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.2989601386481802,
|
489 |
+
"grad_norm": 0.11725670844316483,
|
490 |
+
"learning_rate": 4.965823542444037e-05,
|
491 |
+
"loss": 0.5025,
|
492 |
+
"step": 345
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.30329289428076256,
|
496 |
+
"grad_norm": 0.10628046840429306,
|
497 |
+
"learning_rate": 4.9578294495656965e-05,
|
498 |
+
"loss": 0.4999,
|
499 |
+
"step": 350
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.3076256499133449,
|
503 |
+
"grad_norm": 0.13826170563697815,
|
504 |
+
"learning_rate": 4.949003854277644e-05,
|
505 |
+
"loss": 0.4978,
|
506 |
+
"step": 355
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.3119584055459272,
|
510 |
+
"grad_norm": 0.1305851936340332,
|
511 |
+
"learning_rate": 4.9393497423459376e-05,
|
512 |
+
"loss": 0.4997,
|
513 |
+
"step": 360
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.31629116117850953,
|
517 |
+
"grad_norm": 0.11465763300657272,
|
518 |
+
"learning_rate": 4.928870379830124e-05,
|
519 |
+
"loss": 0.5037,
|
520 |
+
"step": 365
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.32062391681109187,
|
524 |
+
"grad_norm": 0.15975706279277802,
|
525 |
+
"learning_rate": 4.9175693119783013e-05,
|
526 |
+
"loss": 0.4982,
|
527 |
+
"step": 370
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.32495667244367415,
|
531 |
+
"grad_norm": 0.15360799431800842,
|
532 |
+
"learning_rate": 4.905450362027738e-05,
|
533 |
+
"loss": 0.5013,
|
534 |
+
"step": 375
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3292894280762565,
|
538 |
+
"grad_norm": 0.14006198942661285,
|
539 |
+
"learning_rate": 4.8925176299114416e-05,
|
540 |
+
"loss": 0.5008,
|
541 |
+
"step": 380
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.33362218370883884,
|
545 |
+
"grad_norm": 0.14255651831626892,
|
546 |
+
"learning_rate": 4.878775490871121e-05,
|
547 |
+
"loss": 0.4975,
|
548 |
+
"step": 385
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.3379549393414211,
|
552 |
+
"grad_norm": 0.12012791633605957,
|
553 |
+
"learning_rate": 4.864228593977006e-05,
|
554 |
+
"loss": 0.5047,
|
555 |
+
"step": 390
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.34228769497400346,
|
559 |
+
"grad_norm": 0.11433300375938416,
|
560 |
+
"learning_rate": 4.848881860555035e-05,
|
561 |
+
"loss": 0.4986,
|
562 |
+
"step": 395
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.3466204506065858,
|
566 |
+
"grad_norm": 0.11102011054754257,
|
567 |
+
"learning_rate": 4.832740482521931e-05,
|
568 |
+
"loss": 0.4981,
|
569 |
+
"step": 400
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.3509532062391681,
|
573 |
+
"grad_norm": 0.12340573221445084,
|
574 |
+
"learning_rate": 4.815809920628738e-05,
|
575 |
+
"loss": 0.4984,
|
576 |
+
"step": 405
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.35528596187175043,
|
580 |
+
"grad_norm": 0.1148650050163269,
|
581 |
+
"learning_rate": 4.7980959026134044e-05,
|
582 |
+
"loss": 0.4942,
|
583 |
+
"step": 410
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3596187175043328,
|
587 |
+
"grad_norm": 0.10840712487697601,
|
588 |
+
"learning_rate": 4.7796044212630486e-05,
|
589 |
+
"loss": 0.4903,
|
590 |
+
"step": 415
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.36395147313691506,
|
594 |
+
"grad_norm": 0.11093516647815704,
|
595 |
+
"learning_rate": 4.7603417323865547e-05,
|
596 |
+
"loss": 0.4957,
|
597 |
+
"step": 420
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3682842287694974,
|
601 |
+
"grad_norm": 0.1237047016620636,
|
602 |
+
"learning_rate": 4.74031435269818e-05,
|
603 |
+
"loss": 0.499,
|
604 |
+
"step": 425
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.37261698440207974,
|
608 |
+
"grad_norm": 0.11613244563341141,
|
609 |
+
"learning_rate": 4.7195290576129034e-05,
|
610 |
+
"loss": 0.4959,
|
611 |
+
"step": 430
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.37694974003466203,
|
615 |
+
"grad_norm": 0.10890854150056839,
|
616 |
+
"learning_rate": 4.697992878954255e-05,
|
617 |
+
"loss": 0.4944,
|
618 |
+
"step": 435
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.38128249566724437,
|
622 |
+
"grad_norm": 0.11364572495222092,
|
623 |
+
"learning_rate": 4.6757131025753886e-05,
|
624 |
+
"loss": 0.4909,
|
625 |
+
"step": 440
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.3856152512998267,
|
629 |
+
"grad_norm": 0.12619757652282715,
|
630 |
+
"learning_rate": 4.652697265894228e-05,
|
631 |
+
"loss": 0.4966,
|
632 |
+
"step": 445
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.389948006932409,
|
636 |
+
"grad_norm": 0.11669816076755524,
|
637 |
+
"learning_rate": 4.628953155343499e-05,
|
638 |
+
"loss": 0.4956,
|
639 |
+
"step": 450
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.39428076256499134,
|
643 |
+
"grad_norm": 0.13808482885360718,
|
644 |
+
"learning_rate": 4.604488803736523e-05,
|
645 |
+
"loss": 0.4973,
|
646 |
+
"step": 455
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.3986135181975737,
|
650 |
+
"grad_norm": 0.11171045899391174,
|
651 |
+
"learning_rate": 4.579312487549649e-05,
|
652 |
+
"loss": 0.4903,
|
653 |
+
"step": 460
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.40294627383015597,
|
657 |
+
"grad_norm": 0.11149395257234573,
|
658 |
+
"learning_rate": 4.553432724122265e-05,
|
659 |
+
"loss": 0.4999,
|
660 |
+
"step": 465
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.4072790294627383,
|
664 |
+
"grad_norm": 0.11308333277702332,
|
665 |
+
"learning_rate": 4.526858268775313e-05,
|
666 |
+
"loss": 0.4967,
|
667 |
+
"step": 470
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.41161178509532065,
|
671 |
+
"grad_norm": 0.10610105097293854,
|
672 |
+
"learning_rate": 4.499598111849299e-05,
|
673 |
+
"loss": 0.4936,
|
674 |
+
"step": 475
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.41594454072790293,
|
678 |
+
"grad_norm": 0.11356962472200394,
|
679 |
+
"learning_rate": 4.471661475662792e-05,
|
680 |
+
"loss": 0.493,
|
681 |
+
"step": 480
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.4202772963604853,
|
685 |
+
"grad_norm": 0.10310888290405273,
|
686 |
+
"learning_rate": 4.443057811392445e-05,
|
687 |
+
"loss": 0.5002,
|
688 |
+
"step": 485
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.4246100519930676,
|
692 |
+
"grad_norm": 0.11358631402254105,
|
693 |
+
"learning_rate": 4.413796795875586e-05,
|
694 |
+
"loss": 0.4983,
|
695 |
+
"step": 490
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.4289428076256499,
|
699 |
+
"grad_norm": 0.12575574219226837,
|
700 |
+
"learning_rate": 4.383888328336476e-05,
|
701 |
+
"loss": 0.4949,
|
702 |
+
"step": 495
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.43327556325823224,
|
706 |
+
"grad_norm": 0.09878399968147278,
|
707 |
+
"learning_rate": 4.3533425270373216e-05,
|
708 |
+
"loss": 0.4953,
|
709 |
+
"step": 500
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.43327556325823224,
|
713 |
+
"eval_loss": 0.4938061535358429,
|
714 |
+
"eval_runtime": 140.4236,
|
715 |
+
"eval_samples_per_second": 2.685,
|
716 |
+
"eval_steps_per_second": 0.677,
|
717 |
+
"step": 500
|
718 |
+
}
|
719 |
+
],
|
720 |
+
"logging_steps": 5,
|
721 |
+
"max_steps": 1154,
|
722 |
+
"num_input_tokens_seen": 0,
|
723 |
+
"num_train_epochs": 1,
|
724 |
+
"save_steps": 500,
|
725 |
+
"stateful_callbacks": {
|
726 |
+
"TrainerControl": {
|
727 |
+
"args": {
|
728 |
+
"should_epoch_stop": false,
|
729 |
+
"should_evaluate": false,
|
730 |
+
"should_log": false,
|
731 |
+
"should_save": true,
|
732 |
+
"should_training_stop": false
|
733 |
+
},
|
734 |
+
"attributes": {}
|
735 |
+
}
|
736 |
+
},
|
737 |
+
"total_flos": 3.49519346663424e+17,
|
738 |
+
"train_batch_size": 4,
|
739 |
+
"trial_name": null,
|
740 |
+
"trial_params": null
|
741 |
+
}
|