Uploading fine-tuned LLaMA-EatFit-2-7b model
Browse files- trainer_state.json +1017 -0
trainer_state.json
ADDED
@@ -0,0 +1,1017 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3092,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.008085381630012937,
|
13 |
+
"grad_norm": 0.3009789288043976,
|
14 |
+
"learning_rate": 0.00013440860215053763,
|
15 |
+
"loss": 1.7048,
|
16 |
+
"mean_token_accuracy": 0.661682380437851,
|
17 |
+
"step": 25
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.016170763260025874,
|
21 |
+
"grad_norm": 0.4460005462169647,
|
22 |
+
"learning_rate": 0.00026881720430107527,
|
23 |
+
"loss": 1.2718,
|
24 |
+
"mean_token_accuracy": 0.713244981765747,
|
25 |
+
"step": 50
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 0.02425614489003881,
|
29 |
+
"grad_norm": 0.25601527094841003,
|
30 |
+
"learning_rate": 0.0004032258064516129,
|
31 |
+
"loss": 0.9995,
|
32 |
+
"mean_token_accuracy": 0.7553433787822723,
|
33 |
+
"step": 75
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.03234152652005175,
|
37 |
+
"grad_norm": 0.2627596855163574,
|
38 |
+
"learning_rate": 0.0004999932787358948,
|
39 |
+
"loss": 0.9036,
|
40 |
+
"mean_token_accuracy": 0.7764883422851563,
|
41 |
+
"step": 100
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.04042690815006468,
|
45 |
+
"grad_norm": 0.4143337905406952,
|
46 |
+
"learning_rate": 0.0004998595518201121,
|
47 |
+
"loss": 0.8985,
|
48 |
+
"mean_token_accuracy": 0.7727250349521637,
|
49 |
+
"step": 125
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.04851228978007762,
|
53 |
+
"grad_norm": 0.23922297358512878,
|
54 |
+
"learning_rate": 0.00049955446943686,
|
55 |
+
"loss": 0.7909,
|
56 |
+
"mean_token_accuracy": 0.7968144822120666,
|
57 |
+
"step": 150
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.056597671410090554,
|
61 |
+
"grad_norm": 0.2834464907646179,
|
62 |
+
"learning_rate": 0.0004990782408138185,
|
63 |
+
"loss": 0.822,
|
64 |
+
"mean_token_accuracy": 0.7941457486152649,
|
65 |
+
"step": 175
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.0646830530401035,
|
69 |
+
"grad_norm": 0.29430675506591797,
|
70 |
+
"learning_rate": 0.000498431192551983,
|
71 |
+
"loss": 0.8546,
|
72 |
+
"mean_token_accuracy": 0.7836022305488587,
|
73 |
+
"step": 200
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.07276843467011643,
|
77 |
+
"grad_norm": 0.23746679723262787,
|
78 |
+
"learning_rate": 0.0004976137684016788,
|
79 |
+
"loss": 0.7788,
|
80 |
+
"mean_token_accuracy": 0.8025749707221985,
|
81 |
+
"step": 225
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.08085381630012936,
|
85 |
+
"grad_norm": 0.24229322373867035,
|
86 |
+
"learning_rate": 0.0004966265289582338,
|
87 |
+
"loss": 0.8583,
|
88 |
+
"mean_token_accuracy": 0.7800547671318054,
|
89 |
+
"step": 250
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.08893919793014231,
|
93 |
+
"grad_norm": 0.24889522790908813,
|
94 |
+
"learning_rate": 0.0004954701512775184,
|
95 |
+
"loss": 0.685,
|
96 |
+
"mean_token_accuracy": 0.8196275687217712,
|
97 |
+
"step": 275
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 0.09702457956015524,
|
101 |
+
"grad_norm": 0.22737586498260498,
|
102 |
+
"learning_rate": 0.0004941454284116157,
|
103 |
+
"loss": 0.8068,
|
104 |
+
"mean_token_accuracy": 0.7950991153717041,
|
105 |
+
"step": 300
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.10510996119016817,
|
109 |
+
"grad_norm": 0.2224387228488922,
|
110 |
+
"learning_rate": 0.0004926532688649407,
|
111 |
+
"loss": 0.8054,
|
112 |
+
"mean_token_accuracy": 0.7932506108283996,
|
113 |
+
"step": 325
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.11319534282018111,
|
117 |
+
"grad_norm": 0.2293468415737152,
|
118 |
+
"learning_rate": 0.0004909946959711816,
|
119 |
+
"loss": 0.7816,
|
120 |
+
"mean_token_accuracy": 0.7965369141101837,
|
121 |
+
"step": 350
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.12128072445019406,
|
125 |
+
"grad_norm": 0.2561907470226288,
|
126 |
+
"learning_rate": 0.0004891708471914897,
|
127 |
+
"loss": 0.7487,
|
128 |
+
"mean_token_accuracy": 0.8107043826580047,
|
129 |
+
"step": 375
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.129366106080207,
|
133 |
+
"grad_norm": 0.2583022117614746,
|
134 |
+
"learning_rate": 0.0004871829733344012,
|
135 |
+
"loss": 0.7786,
|
136 |
+
"mean_token_accuracy": 0.7999367988109589,
|
137 |
+
"step": 400
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.13745148771021992,
|
141 |
+
"grad_norm": 0.2550680339336395,
|
142 |
+
"learning_rate": 0.00048503243769802327,
|
143 |
+
"loss": 0.7576,
|
144 |
+
"mean_token_accuracy": 0.8000009500980377,
|
145 |
+
"step": 425
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 0.14553686934023286,
|
149 |
+
"grad_norm": 0.24982689321041107,
|
150 |
+
"learning_rate": 0.0004827207151350745,
|
151 |
+
"loss": 0.7897,
|
152 |
+
"mean_token_accuracy": 0.7945795893669129,
|
153 |
+
"step": 450
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.1536222509702458,
|
157 |
+
"grad_norm": 0.2784912884235382,
|
158 |
+
"learning_rate": 0.0004802493910414205,
|
159 |
+
"loss": 0.8013,
|
160 |
+
"mean_token_accuracy": 0.792938197851181,
|
161 |
+
"step": 475
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.16170763260025872,
|
165 |
+
"grad_norm": 0.2220473736524582,
|
166 |
+
"learning_rate": 0.00047762016026879807,
|
167 |
+
"loss": 0.711,
|
168 |
+
"mean_token_accuracy": 0.8124627935886383,
|
169 |
+
"step": 500
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 0.16979301423027165,
|
173 |
+
"grad_norm": 0.2841341197490692,
|
174 |
+
"learning_rate": 0.00047483482596247353,
|
175 |
+
"loss": 0.7382,
|
176 |
+
"mean_token_accuracy": 0.8129073297977447,
|
177 |
+
"step": 525
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.17787839586028462,
|
181 |
+
"grad_norm": 0.23232664167881012,
|
182 |
+
"learning_rate": 0.00047189529832463296,
|
183 |
+
"loss": 0.7588,
|
184 |
+
"mean_token_accuracy": 0.8059421420097351,
|
185 |
+
"step": 550
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.18596377749029755,
|
189 |
+
"grad_norm": 0.22178468108177185,
|
190 |
+
"learning_rate": 0.00046880359330435216,
|
191 |
+
"loss": 0.8146,
|
192 |
+
"mean_token_accuracy": 0.7915572142601013,
|
193 |
+
"step": 575
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.19404915912031048,
|
197 |
+
"grad_norm": 0.23006677627563477,
|
198 |
+
"learning_rate": 0.0004655618312150437,
|
199 |
+
"loss": 0.7822,
|
200 |
+
"mean_token_accuracy": 0.7942324769496918,
|
201 |
+
"step": 600
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.20213454075032342,
|
205 |
+
"grad_norm": 0.32772719860076904,
|
206 |
+
"learning_rate": 0.00046217223528033146,
|
207 |
+
"loss": 0.7632,
|
208 |
+
"mean_token_accuracy": 0.8043809008598327,
|
209 |
+
"step": 625
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.21021992238033635,
|
213 |
+
"grad_norm": 0.18335266411304474,
|
214 |
+
"learning_rate": 0.0004586371301093476,
|
215 |
+
"loss": 0.7218,
|
216 |
+
"mean_token_accuracy": 0.816128705739975,
|
217 |
+
"step": 650
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 0.21830530401034928,
|
221 |
+
"grad_norm": 0.22064125537872314,
|
222 |
+
"learning_rate": 0.00045495894010249915,
|
223 |
+
"loss": 0.7364,
|
224 |
+
"mean_token_accuracy": 0.8087958478927613,
|
225 |
+
"step": 675
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.22639068564036222,
|
229 |
+
"grad_norm": 0.21018439531326294,
|
230 |
+
"learning_rate": 0.0004511401877887967,
|
231 |
+
"loss": 0.738,
|
232 |
+
"mean_token_accuracy": 0.8069515633583069,
|
233 |
+
"step": 700
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.23447606727037515,
|
237 |
+
"grad_norm": 0.21225683391094208,
|
238 |
+
"learning_rate": 0.0004471834920958864,
|
239 |
+
"loss": 0.7397,
|
240 |
+
"mean_token_accuracy": 0.8051351046562195,
|
241 |
+
"step": 725
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.2425614489003881,
|
245 |
+
"grad_norm": 0.22577480971813202,
|
246 |
+
"learning_rate": 0.00044309156655397003,
|
247 |
+
"loss": 0.7872,
|
248 |
+
"mean_token_accuracy": 0.7951467871665955,
|
249 |
+
"step": 750
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.25064683053040104,
|
253 |
+
"grad_norm": 0.19751884043216705,
|
254 |
+
"learning_rate": 0.000438867217434847,
|
255 |
+
"loss": 0.7147,
|
256 |
+
"mean_token_accuracy": 0.8134795188903808,
|
257 |
+
"step": 775
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.258732212160414,
|
261 |
+
"grad_norm": 0.2011658251285553,
|
262 |
+
"learning_rate": 0.0004345133418273529,
|
263 |
+
"loss": 0.7923,
|
264 |
+
"mean_token_accuracy": 0.7959077858924866,
|
265 |
+
"step": 800
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.2668175937904269,
|
269 |
+
"grad_norm": 0.2174764722585678,
|
270 |
+
"learning_rate": 0.00043003292565051544,
|
271 |
+
"loss": 0.7576,
|
272 |
+
"mean_token_accuracy": 0.8044932758808137,
|
273 |
+
"step": 825
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.27490297542043984,
|
277 |
+
"grad_norm": 0.20990514755249023,
|
278 |
+
"learning_rate": 0.0004254290416057898,
|
279 |
+
"loss": 0.739,
|
280 |
+
"mean_token_accuracy": 0.8073045027256012,
|
281 |
+
"step": 850
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 0.2829883570504528,
|
285 |
+
"grad_norm": 0.1976221799850464,
|
286 |
+
"learning_rate": 0.0004207048470697777,
|
287 |
+
"loss": 0.6717,
|
288 |
+
"mean_token_accuracy": 0.824974125623703,
|
289 |
+
"step": 875
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.2910737386804657,
|
293 |
+
"grad_norm": 0.2552309036254883,
|
294 |
+
"learning_rate": 0.0004158635819288762,
|
295 |
+
"loss": 0.7311,
|
296 |
+
"mean_token_accuracy": 0.8078971183300019,
|
297 |
+
"step": 900
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.29915912031047864,
|
301 |
+
"grad_norm": 0.26244303584098816,
|
302 |
+
"learning_rate": 0.00041090856635734067,
|
303 |
+
"loss": 0.7264,
|
304 |
+
"mean_token_accuracy": 0.8127052938938141,
|
305 |
+
"step": 925
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.3072445019404916,
|
309 |
+
"grad_norm": 0.24333028495311737,
|
310 |
+
"learning_rate": 0.000405843198540285,
|
311 |
+
"loss": 0.7184,
|
312 |
+
"mean_token_accuracy": 0.8114526355266571,
|
313 |
+
"step": 950
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.3153298835705045,
|
317 |
+
"grad_norm": 0.19133129715919495,
|
318 |
+
"learning_rate": 0.0004006709523431822,
|
319 |
+
"loss": 0.7538,
|
320 |
+
"mean_token_accuracy": 0.8016650295257568,
|
321 |
+
"step": 975
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.32341526520051744,
|
325 |
+
"grad_norm": 0.25047338008880615,
|
326 |
+
"learning_rate": 0.00039539537492946285,
|
327 |
+
"loss": 0.8019,
|
328 |
+
"mean_token_accuracy": 0.7935136258602142,
|
329 |
+
"step": 1000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 0.3315006468305304,
|
333 |
+
"grad_norm": 0.19724124670028687,
|
334 |
+
"learning_rate": 0.0003900200843278449,
|
335 |
+
"loss": 0.6892,
|
336 |
+
"mean_token_accuracy": 0.8166925406455994,
|
337 |
+
"step": 1025
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.3395860284605433,
|
341 |
+
"grad_norm": 0.21111617982387543,
|
342 |
+
"learning_rate": 0.0003845487669510631,
|
343 |
+
"loss": 0.7281,
|
344 |
+
"mean_token_accuracy": 0.8110716784000397,
|
345 |
+
"step": 1050
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.3476714100905563,
|
349 |
+
"grad_norm": 0.2487187534570694,
|
350 |
+
"learning_rate": 0.00037898517506770196,
|
351 |
+
"loss": 0.7962,
|
352 |
+
"mean_token_accuracy": 0.7921491277217865,
|
353 |
+
"step": 1075
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.35575679172056923,
|
357 |
+
"grad_norm": 0.2757723927497864,
|
358 |
+
"learning_rate": 0.0003733331242288622,
|
359 |
+
"loss": 0.7533,
|
360 |
+
"mean_token_accuracy": 0.8056223785877228,
|
361 |
+
"step": 1100
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.36384217335058217,
|
365 |
+
"grad_norm": 0.27630847692489624,
|
366 |
+
"learning_rate": 0.0003675964906514289,
|
367 |
+
"loss": 0.7885,
|
368 |
+
"mean_token_accuracy": 0.7973137283325196,
|
369 |
+
"step": 1125
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.3719275549805951,
|
373 |
+
"grad_norm": 0.2365068644285202,
|
374 |
+
"learning_rate": 0.00036177920855973405,
|
375 |
+
"loss": 0.7275,
|
376 |
+
"mean_token_accuracy": 0.8077067303657531,
|
377 |
+
"step": 1150
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.38001293661060803,
|
381 |
+
"grad_norm": 0.2511255443096161,
|
382 |
+
"learning_rate": 0.00035588526748743754,
|
383 |
+
"loss": 0.8052,
|
384 |
+
"mean_token_accuracy": 0.7931141972541809,
|
385 |
+
"step": 1175
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.38809831824062097,
|
389 |
+
"grad_norm": 0.2489156723022461,
|
390 |
+
"learning_rate": 0.0003499187095414763,
|
391 |
+
"loss": 0.7369,
|
392 |
+
"mean_token_accuracy": 0.8076127851009369,
|
393 |
+
"step": 1200
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.3961836998706339,
|
397 |
+
"grad_norm": 0.23067978024482727,
|
398 |
+
"learning_rate": 0.00034388362662995855,
|
399 |
+
"loss": 0.7393,
|
400 |
+
"mean_token_accuracy": 0.8086310243606567,
|
401 |
+
"step": 1225
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.40426908150064683,
|
405 |
+
"grad_norm": 0.2202920764684677,
|
406 |
+
"learning_rate": 0.000337784157655904,
|
407 |
+
"loss": 0.7578,
|
408 |
+
"mean_token_accuracy": 0.8064273929595948,
|
409 |
+
"step": 1250
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.41235446313065977,
|
413 |
+
"grad_norm": 0.21269731223583221,
|
414 |
+
"learning_rate": 0.0003316244856787544,
|
415 |
+
"loss": 0.7937,
|
416 |
+
"mean_token_accuracy": 0.795601452589035,
|
417 |
+
"step": 1275
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.4204398447606727,
|
421 |
+
"grad_norm": 0.24461720883846283,
|
422 |
+
"learning_rate": 0.0003254088350456017,
|
423 |
+
"loss": 0.6656,
|
424 |
+
"mean_token_accuracy": 0.8226878666877746,
|
425 |
+
"step": 1300
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.42852522639068563,
|
429 |
+
"grad_norm": 0.24032443761825562,
|
430 |
+
"learning_rate": 0.0003191414684941003,
|
431 |
+
"loss": 0.7778,
|
432 |
+
"mean_token_accuracy": 0.7960509729385375,
|
433 |
+
"step": 1325
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 0.43661060802069857,
|
437 |
+
"grad_norm": 0.25362804532051086,
|
438 |
+
"learning_rate": 0.0003128266842290513,
|
439 |
+
"loss": 0.6967,
|
440 |
+
"mean_token_accuracy": 0.8132575881481171,
|
441 |
+
"step": 1350
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.4446959896507115,
|
445 |
+
"grad_norm": 0.2388894110918045,
|
446 |
+
"learning_rate": 0.0003064688129746629,
|
447 |
+
"loss": 0.716,
|
448 |
+
"mean_token_accuracy": 0.8112483811378479,
|
449 |
+
"step": 1375
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.45278137128072443,
|
453 |
+
"grad_norm": 0.2121650129556656,
|
454 |
+
"learning_rate": 0.0003000722150045085,
|
455 |
+
"loss": 0.6942,
|
456 |
+
"mean_token_accuracy": 0.8156200110912323,
|
457 |
+
"step": 1400
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.46086675291073737,
|
461 |
+
"grad_norm": 0.2317550778388977,
|
462 |
+
"learning_rate": 0.0002936412771512206,
|
463 |
+
"loss": 0.7493,
|
464 |
+
"mean_token_accuracy": 0.8051575112342835,
|
465 |
+
"step": 1425
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.4689521345407503,
|
469 |
+
"grad_norm": 0.23476050794124603,
|
470 |
+
"learning_rate": 0.0002871804097979687,
|
471 |
+
"loss": 0.7136,
|
472 |
+
"mean_token_accuracy": 0.8104170382022857,
|
473 |
+
"step": 1450
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.4770375161707633,
|
477 |
+
"grad_norm": 0.2009560465812683,
|
478 |
+
"learning_rate": 0.00028069404385378736,
|
479 |
+
"loss": 0.7117,
|
480 |
+
"mean_token_accuracy": 0.8178813803195953,
|
481 |
+
"step": 1475
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.4851228978007762,
|
485 |
+
"grad_norm": 0.21633079648017883,
|
486 |
+
"learning_rate": 0.0002741866277148276,
|
487 |
+
"loss": 0.7392,
|
488 |
+
"mean_token_accuracy": 0.8080459308624267,
|
489 |
+
"step": 1500
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.49320827943078915,
|
493 |
+
"grad_norm": 0.2863864004611969,
|
494 |
+
"learning_rate": 0.00026766262421361407,
|
495 |
+
"loss": 0.7429,
|
496 |
+
"mean_token_accuracy": 0.8051086151599884,
|
497 |
+
"step": 1525
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.5012936610608021,
|
501 |
+
"grad_norm": 0.2746196389198303,
|
502 |
+
"learning_rate": 0.0002611265075584034,
|
503 |
+
"loss": 0.7378,
|
504 |
+
"mean_token_accuracy": 0.8071331679821014,
|
505 |
+
"step": 1550
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.509379042690815,
|
509 |
+
"grad_norm": 0.1745605319738388,
|
510 |
+
"learning_rate": 0.0002545827602647397,
|
511 |
+
"loss": 0.7329,
|
512 |
+
"mean_token_accuracy": 0.8071370398998261,
|
513 |
+
"step": 1575
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.517464424320828,
|
517 |
+
"grad_norm": 0.2692930996417999,
|
518 |
+
"learning_rate": 0.0002480358700813135,
|
519 |
+
"loss": 0.6469,
|
520 |
+
"mean_token_accuracy": 0.8244569575786591,
|
521 |
+
"step": 1600
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.5255498059508409,
|
525 |
+
"grad_norm": 0.2551010549068451,
|
526 |
+
"learning_rate": 0.00024149032691223173,
|
527 |
+
"loss": 0.7093,
|
528 |
+
"mean_token_accuracy": 0.8107299065589905,
|
529 |
+
"step": 1625
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 0.5336351875808538,
|
533 |
+
"grad_norm": 0.19366180896759033,
|
534 |
+
"learning_rate": 0.0002349506197378092,
|
535 |
+
"loss": 0.7518,
|
536 |
+
"mean_token_accuracy": 0.8024619662761688,
|
537 |
+
"step": 1650
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.5417205692108668,
|
541 |
+
"grad_norm": 0.22391283512115479,
|
542 |
+
"learning_rate": 0.00022842123353599369,
|
543 |
+
"loss": 0.6933,
|
544 |
+
"mean_token_accuracy": 0.8174584257602692,
|
545 |
+
"step": 1675
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.5498059508408797,
|
549 |
+
"grad_norm": 0.24723011255264282,
|
550 |
+
"learning_rate": 0.0002219066462065364,
|
551 |
+
"loss": 0.669,
|
552 |
+
"mean_token_accuracy": 0.822363510131836,
|
553 |
+
"step": 1700
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 0.5578913324708926,
|
557 |
+
"grad_norm": 0.20229819416999817,
|
558 |
+
"learning_rate": 0.00021541132550001584,
|
559 |
+
"loss": 0.6508,
|
560 |
+
"mean_token_accuracy": 0.8255820453166962,
|
561 |
+
"step": 1725
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.5659767141009056,
|
565 |
+
"grad_norm": 0.2818906605243683,
|
566 |
+
"learning_rate": 0.00020893972595382274,
|
567 |
+
"loss": 0.6417,
|
568 |
+
"mean_token_accuracy": 0.830688863992691,
|
569 |
+
"step": 1750
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.5740620957309185,
|
573 |
+
"grad_norm": 0.24256223440170288,
|
574 |
+
"learning_rate": 0.00020249628583720672,
|
575 |
+
"loss": 0.7353,
|
576 |
+
"mean_token_accuracy": 0.8104202616214752,
|
577 |
+
"step": 1775
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.5821474773609314,
|
581 |
+
"grad_norm": 0.24385611712932587,
|
582 |
+
"learning_rate": 0.00019608542410747888,
|
583 |
+
"loss": 0.6876,
|
584 |
+
"mean_token_accuracy": 0.819042581319809,
|
585 |
+
"step": 1800
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.5902328589909444,
|
589 |
+
"grad_norm": 0.15913242101669312,
|
590 |
+
"learning_rate": 0.00018971153737945968,
|
591 |
+
"loss": 0.646,
|
592 |
+
"mean_token_accuracy": 0.8284247839450836,
|
593 |
+
"step": 1825
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.5983182406209573,
|
597 |
+
"grad_norm": 0.17542122304439545,
|
598 |
+
"learning_rate": 0.00018337899691024914,
|
599 |
+
"loss": 0.6216,
|
600 |
+
"mean_token_accuracy": 0.83616614818573,
|
601 |
+
"step": 1850
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.6064036222509702,
|
605 |
+
"grad_norm": 0.22214658558368683,
|
606 |
+
"learning_rate": 0.0001770921456013872,
|
607 |
+
"loss": 0.6947,
|
608 |
+
"mean_token_accuracy": 0.8170740747451782,
|
609 |
+
"step": 1875
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.6144890038809832,
|
613 |
+
"grad_norm": 0.22132755815982819,
|
614 |
+
"learning_rate": 0.00017085529502046073,
|
615 |
+
"loss": 0.6788,
|
616 |
+
"mean_token_accuracy": 0.820680763721466,
|
617 |
+
"step": 1900
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.6225743855109961,
|
621 |
+
"grad_norm": 0.26897531747817993,
|
622 |
+
"learning_rate": 0.00016467272244420029,
|
623 |
+
"loss": 0.6833,
|
624 |
+
"mean_token_accuracy": 0.822064242362976,
|
625 |
+
"step": 1925
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.630659767141009,
|
629 |
+
"grad_norm": 0.25688934326171875,
|
630 |
+
"learning_rate": 0.0001585486679250922,
|
631 |
+
"loss": 0.6945,
|
632 |
+
"mean_token_accuracy": 0.8143122482299805,
|
633 |
+
"step": 1950
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.638745148771022,
|
637 |
+
"grad_norm": 0.21207553148269653,
|
638 |
+
"learning_rate": 0.0001524873313835208,
|
639 |
+
"loss": 0.6596,
|
640 |
+
"mean_token_accuracy": 0.8273860597610474,
|
641 |
+
"step": 1975
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.6468305304010349,
|
645 |
+
"grad_norm": 0.281393438577652,
|
646 |
+
"learning_rate": 0.00014649286972743319,
|
647 |
+
"loss": 0.6767,
|
648 |
+
"mean_token_accuracy": 0.8178416419029236,
|
649 |
+
"step": 2000
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.6549159120310478,
|
653 |
+
"grad_norm": 0.27408191561698914,
|
654 |
+
"learning_rate": 0.00014056939400150143,
|
655 |
+
"loss": 0.6974,
|
656 |
+
"mean_token_accuracy": 0.8189209842681885,
|
657 |
+
"step": 2025
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.6630012936610608,
|
661 |
+
"grad_norm": 0.26886942982673645,
|
662 |
+
"learning_rate": 0.00013472096656773913,
|
663 |
+
"loss": 0.6497,
|
664 |
+
"mean_token_accuracy": 0.8288757252693176,
|
665 |
+
"step": 2050
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.6710866752910737,
|
669 |
+
"grad_norm": 0.21919454634189606,
|
670 |
+
"learning_rate": 0.00012895159831950462,
|
671 |
+
"loss": 0.693,
|
672 |
+
"mean_token_accuracy": 0.8163833570480347,
|
673 |
+
"step": 2075
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.6791720569210866,
|
677 |
+
"grad_norm": 0.21283280849456787,
|
678 |
+
"learning_rate": 0.0001232652459308012,
|
679 |
+
"loss": 0.7117,
|
680 |
+
"mean_token_accuracy": 0.808628898859024,
|
681 |
+
"step": 2100
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.6872574385510997,
|
685 |
+
"grad_norm": 0.229765385389328,
|
686 |
+
"learning_rate": 0.00011766580914276209,
|
687 |
+
"loss": 0.7317,
|
688 |
+
"mean_token_accuracy": 0.8035627353191376,
|
689 |
+
"step": 2125
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.6953428201811126,
|
693 |
+
"grad_norm": 0.21411098539829254,
|
694 |
+
"learning_rate": 0.00011215712808918003,
|
695 |
+
"loss": 0.6469,
|
696 |
+
"mean_token_accuracy": 0.8277445828914642,
|
697 |
+
"step": 2150
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.7034282018111255,
|
701 |
+
"grad_norm": 0.2254790961742401,
|
702 |
+
"learning_rate": 0.00010674298066291601,
|
703 |
+
"loss": 0.6976,
|
704 |
+
"mean_token_accuracy": 0.8171502375602722,
|
705 |
+
"step": 2175
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.7115135834411385,
|
709 |
+
"grad_norm": 0.27148380875587463,
|
710 |
+
"learning_rate": 0.0001014270799249933,
|
711 |
+
"loss": 0.717,
|
712 |
+
"mean_token_accuracy": 0.8086051964759826,
|
713 |
+
"step": 2200
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.7195989650711514,
|
717 |
+
"grad_norm": 0.2047407031059265,
|
718 |
+
"learning_rate": 9.621307155815398e-05,
|
719 |
+
"loss": 0.718,
|
720 |
+
"mean_token_accuracy": 0.8121638822555542,
|
721 |
+
"step": 2225
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.7276843467011643,
|
725 |
+
"grad_norm": 0.22144050896167755,
|
726 |
+
"learning_rate": 9.11045313666231e-05,
|
727 |
+
"loss": 0.6623,
|
728 |
+
"mean_token_accuracy": 0.8254709720611573,
|
729 |
+
"step": 2250
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.7357697283311773,
|
733 |
+
"grad_norm": 0.27873218059539795,
|
734 |
+
"learning_rate": 8.610496282379687e-05,
|
735 |
+
"loss": 0.7073,
|
736 |
+
"mean_token_accuracy": 0.8168034076690673,
|
737 |
+
"step": 2275
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.7438551099611902,
|
741 |
+
"grad_norm": 0.25058674812316895,
|
742 |
+
"learning_rate": 8.121779466953572e-05,
|
743 |
+
"loss": 0.7961,
|
744 |
+
"mean_token_accuracy": 0.7905523943901062,
|
745 |
+
"step": 2300
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.7519404915912031,
|
749 |
+
"grad_norm": 0.2540716826915741,
|
750 |
+
"learning_rate": 7.644637855870959e-05,
|
751 |
+
"loss": 0.7561,
|
752 |
+
"mean_token_accuracy": 0.8036962306499481,
|
753 |
+
"step": 2325
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.7600258732212161,
|
757 |
+
"grad_norm": 0.2069474756717682,
|
758 |
+
"learning_rate": 7.179398676260923e-05,
|
759 |
+
"loss": 0.7163,
|
760 |
+
"mean_token_accuracy": 0.8117474913597107,
|
761 |
+
"step": 2350
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 0.768111254851229,
|
765 |
+
"grad_norm": 0.23127734661102295,
|
766 |
+
"learning_rate": 6.726380992479941e-05,
|
767 |
+
"loss": 0.6983,
|
768 |
+
"mean_token_accuracy": 0.8151715826988221,
|
769 |
+
"step": 2375
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.7761966364812419,
|
773 |
+
"grad_norm": 0.19075877964496613,
|
774 |
+
"learning_rate": 6.285895487295229e-05,
|
775 |
+
"loss": 0.6644,
|
776 |
+
"mean_token_accuracy": 0.8226857626438141,
|
777 |
+
"step": 2400
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.7842820181112549,
|
781 |
+
"grad_norm": 0.26920101046562195,
|
782 |
+
"learning_rate": 5.858244248816302e-05,
|
783 |
+
"loss": 0.678,
|
784 |
+
"mean_token_accuracy": 0.8184169673919678,
|
785 |
+
"step": 2425
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 0.7923673997412678,
|
789 |
+
"grad_norm": 0.22957506775856018,
|
790 |
+
"learning_rate": 5.443720563320792e-05,
|
791 |
+
"loss": 0.7125,
|
792 |
+
"mean_token_accuracy": 0.8165527045726776,
|
793 |
+
"step": 2450
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.8004527813712807,
|
797 |
+
"grad_norm": 0.23255349695682526,
|
798 |
+
"learning_rate": 5.042608714116612e-05,
|
799 |
+
"loss": 0.6648,
|
800 |
+
"mean_token_accuracy": 0.8205063927173615,
|
801 |
+
"step": 2475
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.8085381630012937,
|
805 |
+
"grad_norm": 0.21010981500148773,
|
806 |
+
"learning_rate": 4.655183786578426e-05,
|
807 |
+
"loss": 0.6833,
|
808 |
+
"mean_token_accuracy": 0.8196286606788635,
|
809 |
+
"step": 2500
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.8166235446313066,
|
813 |
+
"grad_norm": 0.21943055093288422,
|
814 |
+
"learning_rate": 4.2817114794921677e-05,
|
815 |
+
"loss": 0.6897,
|
816 |
+
"mean_token_accuracy": 0.8164256310462952,
|
817 |
+
"step": 2525
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.8247089262613195,
|
821 |
+
"grad_norm": 0.21263104677200317,
|
822 |
+
"learning_rate": 3.92244792283685e-05,
|
823 |
+
"loss": 0.6553,
|
824 |
+
"mean_token_accuracy": 0.8244921159744263,
|
825 |
+
"step": 2550
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.8327943078913325,
|
829 |
+
"grad_norm": 0.30405542254447937,
|
830 |
+
"learning_rate": 3.577639502128843e-05,
|
831 |
+
"loss": 0.6771,
|
832 |
+
"mean_token_accuracy": 0.8220798122882843,
|
833 |
+
"step": 2575
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 0.8408796895213454,
|
837 |
+
"grad_norm": 0.2544702887535095,
|
838 |
+
"learning_rate": 3.247522689448923e-05,
|
839 |
+
"loss": 0.6825,
|
840 |
+
"mean_token_accuracy": 0.8175348448753357,
|
841 |
+
"step": 2600
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 0.8489650711513583,
|
845 |
+
"grad_norm": 0.2168809473514557,
|
846 |
+
"learning_rate": 2.9323238812679982e-05,
|
847 |
+
"loss": 0.7437,
|
848 |
+
"mean_token_accuracy": 0.8062794303894043,
|
849 |
+
"step": 2625
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.8570504527813713,
|
853 |
+
"grad_norm": 0.32856041193008423,
|
854 |
+
"learning_rate": 2.6322592431828136e-05,
|
855 |
+
"loss": 0.6968,
|
856 |
+
"mean_token_accuracy": 0.8184567129611969,
|
857 |
+
"step": 2650
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.8651358344113842,
|
861 |
+
"grad_norm": 0.2495715171098709,
|
862 |
+
"learning_rate": 2.3475345616680327e-05,
|
863 |
+
"loss": 0.6864,
|
864 |
+
"mean_token_accuracy": 0.817262338399887,
|
865 |
+
"step": 2675
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.8732212160413971,
|
869 |
+
"grad_norm": 0.21743454039096832,
|
870 |
+
"learning_rate": 2.0783451029463995e-05,
|
871 |
+
"loss": 0.6554,
|
872 |
+
"mean_token_accuracy": 0.8261248970031738,
|
873 |
+
"step": 2700
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.8813065976714101,
|
877 |
+
"grad_norm": 0.19413378834724426,
|
878 |
+
"learning_rate": 1.8248754790737733e-05,
|
879 |
+
"loss": 0.691,
|
880 |
+
"mean_token_accuracy": 0.8169219958782196,
|
881 |
+
"step": 2725
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.889391979301423,
|
885 |
+
"grad_norm": 0.2755376100540161,
|
886 |
+
"learning_rate": 1.5872995213308566e-05,
|
887 |
+
"loss": 0.6868,
|
888 |
+
"mean_token_accuracy": 0.8156666767597198,
|
889 |
+
"step": 2750
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 0.8974773609314359,
|
893 |
+
"grad_norm": 0.23579077422618866,
|
894 |
+
"learning_rate": 1.3657801610084563e-05,
|
895 |
+
"loss": 0.669,
|
896 |
+
"mean_token_accuracy": 0.8254081463813782,
|
897 |
+
"step": 2775
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.9055627425614489,
|
901 |
+
"grad_norm": 0.21246632933616638,
|
902 |
+
"learning_rate": 1.1604693176680392e-05,
|
903 |
+
"loss": 0.6519,
|
904 |
+
"mean_token_accuracy": 0.8244655966758728,
|
905 |
+
"step": 2800
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.9136481241914618,
|
909 |
+
"grad_norm": 0.29115888476371765,
|
910 |
+
"learning_rate": 9.715077949542184e-06,
|
911 |
+
"loss": 0.6673,
|
912 |
+
"mean_token_accuracy": 0.825350991487503,
|
913 |
+
"step": 2825
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.9217335058214747,
|
917 |
+
"grad_norm": 0.24020685255527496,
|
918 |
+
"learning_rate": 7.990251840305996e-06,
|
919 |
+
"loss": 0.6349,
|
920 |
+
"mean_token_accuracy": 0.8334643471240998,
|
921 |
+
"step": 2850
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.9298188874514877,
|
925 |
+
"grad_norm": 0.2604895532131195,
|
926 |
+
"learning_rate": 6.431397747052342e-06,
|
927 |
+
"loss": 0.6659,
|
928 |
+
"mean_token_accuracy": 0.8195065236091614,
|
929 |
+
"step": 2875
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.9379042690815006,
|
933 |
+
"grad_norm": 0.19995881617069244,
|
934 |
+
"learning_rate": 5.039584743066344e-06,
|
935 |
+
"loss": 0.706,
|
936 |
+
"mean_token_accuracy": 0.8151924252510071,
|
937 |
+
"step": 2900
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.9459896507115135,
|
941 |
+
"grad_norm": 0.22976571321487427,
|
942 |
+
"learning_rate": 3.815767343659377e-06,
|
943 |
+
"loss": 0.6477,
|
944 |
+
"mean_token_accuracy": 0.8256394731998443,
|
945 |
+
"step": 2925
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.9540750323415266,
|
949 |
+
"grad_norm": 0.22688381373882294,
|
950 |
+
"learning_rate": 2.760784851555953e-06,
|
951 |
+
"loss": 0.672,
|
952 |
+
"mean_token_accuracy": 0.8214276111125947,
|
953 |
+
"step": 2950
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.9621604139715395,
|
957 |
+
"grad_norm": 0.23771828413009644,
|
958 |
+
"learning_rate": 1.875360781293689e-06,
|
959 |
+
"loss": 0.6642,
|
960 |
+
"mean_token_accuracy": 0.8211515319347381,
|
961 |
+
"step": 2975
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.9702457956015524,
|
965 |
+
"grad_norm": 0.22044353187084198,
|
966 |
+
"learning_rate": 1.1601023630319064e-06,
|
967 |
+
"loss": 0.6148,
|
968 |
+
"mean_token_accuracy": 0.838649377822876,
|
969 |
+
"step": 3000
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.9783311772315654,
|
973 |
+
"grad_norm": 0.21916313469409943,
|
974 |
+
"learning_rate": 6.155001261089477e-07,
|
975 |
+
"loss": 0.7242,
|
976 |
+
"mean_token_accuracy": 0.8094534778594971,
|
977 |
+
"step": 3025
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.9864165588615783,
|
981 |
+
"grad_norm": 0.20908524096012115,
|
982 |
+
"learning_rate": 2.4192756263349826e-07,
|
983 |
+
"loss": 0.7293,
|
984 |
+
"mean_token_accuracy": 0.8055576062202454,
|
985 |
+
"step": 3050
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 0.9945019404915912,
|
989 |
+
"grad_norm": 0.2526475489139557,
|
990 |
+
"learning_rate": 3.9640871341173336e-08,
|
991 |
+
"loss": 0.6961,
|
992 |
+
"mean_token_accuracy": 0.8134376859664917,
|
993 |
+
"step": 3075
|
994 |
+
}
|
995 |
+
],
|
996 |
+
"logging_steps": 25,
|
997 |
+
"max_steps": 3092,
|
998 |
+
"num_input_tokens_seen": 0,
|
999 |
+
"num_train_epochs": 1,
|
1000 |
+
"save_steps": 0,
|
1001 |
+
"stateful_callbacks": {
|
1002 |
+
"TrainerControl": {
|
1003 |
+
"args": {
|
1004 |
+
"should_epoch_stop": false,
|
1005 |
+
"should_evaluate": false,
|
1006 |
+
"should_log": false,
|
1007 |
+
"should_save": true,
|
1008 |
+
"should_training_stop": true
|
1009 |
+
},
|
1010 |
+
"attributes": {}
|
1011 |
+
}
|
1012 |
+
},
|
1013 |
+
"total_flos": 1.2584006622747034e+17,
|
1014 |
+
"train_batch_size": 1,
|
1015 |
+
"trial_name": null,
|
1016 |
+
"trial_params": null
|
1017 |
+
}
|