Training in progress, step 100
Browse files- all_results.json +7 -0
- model.safetensors +1 -1
- runs/Apr15_16-57-14_ryanserver/events.out.tfevents.1713214639.ryanserver.25404.0 +3 -0
- train_results.json +7 -0
- trainer_state.json +933 -0
- training_args.bin +1 -1
all_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.01,
|
3 |
+
"train_loss": 0.21891093194946762,
|
4 |
+
"train_runtime": 6427.7582,
|
5 |
+
"train_samples_per_second": 8.027,
|
6 |
+
"train_steps_per_second": 0.502
|
7 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343236280
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bc909d8e38381547222c5a804da1f96a22ad0511f4e9b65417fbd85da5064cc2
|
3 |
size 343236280
|
runs/Apr15_16-57-14_ryanserver/events.out.tfevents.1713214639.ryanserver.25404.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f04edb9b1cc2ae4983c9de9f1edc685b0cf078f83b823071f46a3ce37043d92f
|
3 |
+
size 5587
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.01,
|
3 |
+
"train_loss": 0.21891093194946762,
|
4 |
+
"train_runtime": 6427.7582,
|
5 |
+
"train_samples_per_second": 8.027,
|
6 |
+
"train_steps_per_second": 0.502
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,933 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0100219229564673,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 3225,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 0.6999576091766357,
|
14 |
+
"learning_rate": 4.96124031007752e-05,
|
15 |
+
"loss": 0.533,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 0.682187020778656,
|
21 |
+
"learning_rate": 4.922480620155039e-05,
|
22 |
+
"loss": 0.3801,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02,
|
27 |
+
"grad_norm": 0.6211907267570496,
|
28 |
+
"learning_rate": 4.883720930232558e-05,
|
29 |
+
"loss": 0.3996,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.03,
|
34 |
+
"grad_norm": 2.131941080093384,
|
35 |
+
"learning_rate": 4.8449612403100775e-05,
|
36 |
+
"loss": 0.3272,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.04,
|
41 |
+
"grad_norm": 0.6068922877311707,
|
42 |
+
"learning_rate": 4.8062015503875976e-05,
|
43 |
+
"loss": 0.3431,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05,
|
48 |
+
"grad_norm": 2.6034927368164062,
|
49 |
+
"learning_rate": 4.7674418604651164e-05,
|
50 |
+
"loss": 0.3298,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.05,
|
55 |
+
"grad_norm": 2.252187490463257,
|
56 |
+
"learning_rate": 4.728682170542636e-05,
|
57 |
+
"loss": 0.3048,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.06,
|
62 |
+
"grad_norm": 0.42226940393447876,
|
63 |
+
"learning_rate": 4.6899224806201553e-05,
|
64 |
+
"loss": 0.2993,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.07,
|
69 |
+
"grad_norm": 0.5101619958877563,
|
70 |
+
"learning_rate": 4.651162790697675e-05,
|
71 |
+
"loss": 0.3291,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.08,
|
76 |
+
"grad_norm": 0.44378426671028137,
|
77 |
+
"learning_rate": 4.6124031007751936e-05,
|
78 |
+
"loss": 0.3254,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.09,
|
83 |
+
"grad_norm": 0.39292019605636597,
|
84 |
+
"learning_rate": 4.573643410852713e-05,
|
85 |
+
"loss": 0.2908,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.09,
|
90 |
+
"grad_norm": 0.3389347791671753,
|
91 |
+
"learning_rate": 4.5348837209302326e-05,
|
92 |
+
"loss": 0.3058,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.1,
|
97 |
+
"grad_norm": 0.3901497423648834,
|
98 |
+
"learning_rate": 4.496124031007753e-05,
|
99 |
+
"loss": 0.343,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.11,
|
104 |
+
"grad_norm": 2.7542033195495605,
|
105 |
+
"learning_rate": 4.4573643410852715e-05,
|
106 |
+
"loss": 0.2969,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.12,
|
111 |
+
"grad_norm": 0.3395516872406006,
|
112 |
+
"learning_rate": 4.418604651162791e-05,
|
113 |
+
"loss": 0.2907,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.13,
|
118 |
+
"grad_norm": 0.3581525385379791,
|
119 |
+
"learning_rate": 4.3813953488372095e-05,
|
120 |
+
"loss": 0.2783,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.13,
|
125 |
+
"grad_norm": 0.6102267503738403,
|
126 |
+
"learning_rate": 4.342635658914729e-05,
|
127 |
+
"loss": 0.266,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.14,
|
132 |
+
"grad_norm": 1.409443974494934,
|
133 |
+
"learning_rate": 4.3038759689922484e-05,
|
134 |
+
"loss": 0.2898,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.15,
|
139 |
+
"grad_norm": 2.3266422748565674,
|
140 |
+
"learning_rate": 4.265116279069767e-05,
|
141 |
+
"loss": 0.2967,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.16,
|
146 |
+
"grad_norm": 1.4810105562210083,
|
147 |
+
"learning_rate": 4.2263565891472874e-05,
|
148 |
+
"loss": 0.2621,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.16,
|
153 |
+
"grad_norm": 3.7368390560150146,
|
154 |
+
"learning_rate": 4.187596899224807e-05,
|
155 |
+
"loss": 0.2766,
|
156 |
+
"step": 525
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.17,
|
160 |
+
"grad_norm": 1.7454067468643188,
|
161 |
+
"learning_rate": 4.1488372093023256e-05,
|
162 |
+
"loss": 0.2435,
|
163 |
+
"step": 550
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.18,
|
167 |
+
"grad_norm": 0.34005963802337646,
|
168 |
+
"learning_rate": 4.110077519379845e-05,
|
169 |
+
"loss": 0.2407,
|
170 |
+
"step": 575
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.19,
|
174 |
+
"grad_norm": 1.942692518234253,
|
175 |
+
"learning_rate": 4.0713178294573646e-05,
|
176 |
+
"loss": 0.2556,
|
177 |
+
"step": 600
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.2,
|
181 |
+
"grad_norm": 1.3751680850982666,
|
182 |
+
"learning_rate": 4.032558139534884e-05,
|
183 |
+
"loss": 0.2352,
|
184 |
+
"step": 625
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.2,
|
188 |
+
"grad_norm": 1.911611795425415,
|
189 |
+
"learning_rate": 3.993798449612403e-05,
|
190 |
+
"loss": 0.2635,
|
191 |
+
"step": 650
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.21,
|
195 |
+
"grad_norm": 2.1268646717071533,
|
196 |
+
"learning_rate": 3.955038759689922e-05,
|
197 |
+
"loss": 0.2473,
|
198 |
+
"step": 675
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.22,
|
202 |
+
"grad_norm": 1.866083025932312,
|
203 |
+
"learning_rate": 3.9162790697674425e-05,
|
204 |
+
"loss": 0.238,
|
205 |
+
"step": 700
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.23,
|
209 |
+
"grad_norm": 0.8285239338874817,
|
210 |
+
"learning_rate": 3.877519379844962e-05,
|
211 |
+
"loss": 0.2666,
|
212 |
+
"step": 725
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.23,
|
216 |
+
"grad_norm": 0.8000108003616333,
|
217 |
+
"learning_rate": 3.838759689922481e-05,
|
218 |
+
"loss": 0.2343,
|
219 |
+
"step": 750
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.24,
|
223 |
+
"grad_norm": 0.6987760066986084,
|
224 |
+
"learning_rate": 3.8e-05,
|
225 |
+
"loss": 0.207,
|
226 |
+
"step": 775
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.25,
|
230 |
+
"grad_norm": 1.039829134941101,
|
231 |
+
"learning_rate": 3.76124031007752e-05,
|
232 |
+
"loss": 0.2469,
|
233 |
+
"step": 800
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.26,
|
237 |
+
"grad_norm": 1.2499618530273438,
|
238 |
+
"learning_rate": 3.722480620155039e-05,
|
239 |
+
"loss": 0.2589,
|
240 |
+
"step": 825
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.27,
|
244 |
+
"grad_norm": 2.926412582397461,
|
245 |
+
"learning_rate": 3.683720930232558e-05,
|
246 |
+
"loss": 0.1872,
|
247 |
+
"step": 850
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.27,
|
251 |
+
"grad_norm": 5.37480354309082,
|
252 |
+
"learning_rate": 3.6449612403100774e-05,
|
253 |
+
"loss": 0.2797,
|
254 |
+
"step": 875
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.28,
|
258 |
+
"grad_norm": 1.7981369495391846,
|
259 |
+
"learning_rate": 3.6077519379844966e-05,
|
260 |
+
"loss": 0.2423,
|
261 |
+
"step": 900
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.29,
|
265 |
+
"grad_norm": 1.1063029766082764,
|
266 |
+
"learning_rate": 3.568992248062016e-05,
|
267 |
+
"loss": 0.2528,
|
268 |
+
"step": 925
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.3,
|
272 |
+
"grad_norm": 0.5154077410697937,
|
273 |
+
"learning_rate": 3.530232558139535e-05,
|
274 |
+
"loss": 0.1966,
|
275 |
+
"step": 950
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.31,
|
279 |
+
"grad_norm": 1.958801507949829,
|
280 |
+
"learning_rate": 3.4914728682170543e-05,
|
281 |
+
"loss": 0.2569,
|
282 |
+
"step": 975
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.31,
|
286 |
+
"grad_norm": 0.43896540999412537,
|
287 |
+
"learning_rate": 3.452713178294574e-05,
|
288 |
+
"loss": 0.2294,
|
289 |
+
"step": 1000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.32,
|
293 |
+
"grad_norm": 4.940056800842285,
|
294 |
+
"learning_rate": 3.413953488372093e-05,
|
295 |
+
"loss": 0.2138,
|
296 |
+
"step": 1025
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.33,
|
300 |
+
"grad_norm": 2.0871469974517822,
|
301 |
+
"learning_rate": 3.375193798449612e-05,
|
302 |
+
"loss": 0.2486,
|
303 |
+
"step": 1050
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.34,
|
307 |
+
"grad_norm": 0.4600803554058075,
|
308 |
+
"learning_rate": 3.3364341085271316e-05,
|
309 |
+
"loss": 0.1784,
|
310 |
+
"step": 1075
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.34,
|
314 |
+
"grad_norm": 1.7933701276779175,
|
315 |
+
"learning_rate": 3.297674418604652e-05,
|
316 |
+
"loss": 0.2486,
|
317 |
+
"step": 1100
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.35,
|
321 |
+
"grad_norm": 0.8704222440719604,
|
322 |
+
"learning_rate": 3.258914728682171e-05,
|
323 |
+
"loss": 0.1977,
|
324 |
+
"step": 1125
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.36,
|
328 |
+
"grad_norm": 2.517425775527954,
|
329 |
+
"learning_rate": 3.22015503875969e-05,
|
330 |
+
"loss": 0.2128,
|
331 |
+
"step": 1150
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.37,
|
335 |
+
"grad_norm": 1.5435869693756104,
|
336 |
+
"learning_rate": 3.1813953488372094e-05,
|
337 |
+
"loss": 0.1889,
|
338 |
+
"step": 1175
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.38,
|
342 |
+
"grad_norm": 0.8101773262023926,
|
343 |
+
"learning_rate": 3.142635658914729e-05,
|
344 |
+
"loss": 0.2274,
|
345 |
+
"step": 1200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.38,
|
349 |
+
"grad_norm": 0.910406231880188,
|
350 |
+
"learning_rate": 3.1038759689922484e-05,
|
351 |
+
"loss": 0.1939,
|
352 |
+
"step": 1225
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.39,
|
356 |
+
"grad_norm": 1.1105294227600098,
|
357 |
+
"learning_rate": 3.065116279069767e-05,
|
358 |
+
"loss": 0.2712,
|
359 |
+
"step": 1250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.4,
|
363 |
+
"grad_norm": 1.6309148073196411,
|
364 |
+
"learning_rate": 3.0263565891472867e-05,
|
365 |
+
"loss": 0.2098,
|
366 |
+
"step": 1275
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.41,
|
370 |
+
"grad_norm": 0.6428541541099548,
|
371 |
+
"learning_rate": 2.9875968992248065e-05,
|
372 |
+
"loss": 0.1944,
|
373 |
+
"step": 1300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.41,
|
377 |
+
"grad_norm": 1.2899640798568726,
|
378 |
+
"learning_rate": 2.948837209302326e-05,
|
379 |
+
"loss": 0.232,
|
380 |
+
"step": 1325
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.42,
|
384 |
+
"grad_norm": 0.35119500756263733,
|
385 |
+
"learning_rate": 2.910077519379845e-05,
|
386 |
+
"loss": 0.2279,
|
387 |
+
"step": 1350
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.43,
|
391 |
+
"grad_norm": 0.7236185669898987,
|
392 |
+
"learning_rate": 2.8713178294573645e-05,
|
393 |
+
"loss": 0.1759,
|
394 |
+
"step": 1375
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.44,
|
398 |
+
"grad_norm": 0.7780153155326843,
|
399 |
+
"learning_rate": 2.8325581395348837e-05,
|
400 |
+
"loss": 0.2006,
|
401 |
+
"step": 1400
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.45,
|
405 |
+
"grad_norm": 2.4104530811309814,
|
406 |
+
"learning_rate": 2.793798449612403e-05,
|
407 |
+
"loss": 0.2128,
|
408 |
+
"step": 1425
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.45,
|
412 |
+
"grad_norm": 0.5463195443153381,
|
413 |
+
"learning_rate": 2.7550387596899223e-05,
|
414 |
+
"loss": 0.1777,
|
415 |
+
"step": 1450
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.46,
|
419 |
+
"grad_norm": 0.48027583956718445,
|
420 |
+
"learning_rate": 2.7162790697674418e-05,
|
421 |
+
"loss": 0.1887,
|
422 |
+
"step": 1475
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.47,
|
426 |
+
"grad_norm": 1.2007440328598022,
|
427 |
+
"learning_rate": 2.6775193798449616e-05,
|
428 |
+
"loss": 0.2016,
|
429 |
+
"step": 1500
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.48,
|
433 |
+
"grad_norm": 1.51267409324646,
|
434 |
+
"learning_rate": 2.638759689922481e-05,
|
435 |
+
"loss": 0.174,
|
436 |
+
"step": 1525
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.49,
|
440 |
+
"grad_norm": 2.8868677616119385,
|
441 |
+
"learning_rate": 2.6000000000000002e-05,
|
442 |
+
"loss": 0.2046,
|
443 |
+
"step": 1550
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.49,
|
447 |
+
"grad_norm": 2.025702476501465,
|
448 |
+
"learning_rate": 2.5612403100775197e-05,
|
449 |
+
"loss": 0.1859,
|
450 |
+
"step": 1575
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.5,
|
454 |
+
"grad_norm": 1.341884732246399,
|
455 |
+
"learning_rate": 2.5224806201550388e-05,
|
456 |
+
"loss": 0.2007,
|
457 |
+
"step": 1600
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.51,
|
461 |
+
"grad_norm": 0.914476752281189,
|
462 |
+
"learning_rate": 2.4837209302325583e-05,
|
463 |
+
"loss": 0.1863,
|
464 |
+
"step": 1625
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.52,
|
468 |
+
"grad_norm": 0.8603270649909973,
|
469 |
+
"learning_rate": 2.4465116279069768e-05,
|
470 |
+
"loss": 0.2002,
|
471 |
+
"step": 1650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.52,
|
475 |
+
"grad_norm": 3.7743961811065674,
|
476 |
+
"learning_rate": 2.4077519379844962e-05,
|
477 |
+
"loss": 0.1991,
|
478 |
+
"step": 1675
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.53,
|
482 |
+
"grad_norm": 2.3465445041656494,
|
483 |
+
"learning_rate": 2.3689922480620154e-05,
|
484 |
+
"loss": 0.1901,
|
485 |
+
"step": 1700
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.54,
|
489 |
+
"grad_norm": 1.6707566976547241,
|
490 |
+
"learning_rate": 2.3302325581395352e-05,
|
491 |
+
"loss": 0.1805,
|
492 |
+
"step": 1725
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.55,
|
496 |
+
"grad_norm": 0.9617774486541748,
|
497 |
+
"learning_rate": 2.2914728682170543e-05,
|
498 |
+
"loss": 0.2044,
|
499 |
+
"step": 1750
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.56,
|
503 |
+
"grad_norm": 1.740809440612793,
|
504 |
+
"learning_rate": 2.2527131782945738e-05,
|
505 |
+
"loss": 0.2502,
|
506 |
+
"step": 1775
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.56,
|
510 |
+
"grad_norm": 1.6407257318496704,
|
511 |
+
"learning_rate": 2.213953488372093e-05,
|
512 |
+
"loss": 0.2071,
|
513 |
+
"step": 1800
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.57,
|
517 |
+
"grad_norm": 0.5815154314041138,
|
518 |
+
"learning_rate": 2.1751937984496127e-05,
|
519 |
+
"loss": 0.1962,
|
520 |
+
"step": 1825
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.58,
|
524 |
+
"grad_norm": 2.898057699203491,
|
525 |
+
"learning_rate": 2.136434108527132e-05,
|
526 |
+
"loss": 0.168,
|
527 |
+
"step": 1850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.59,
|
531 |
+
"grad_norm": 0.7204940319061279,
|
532 |
+
"learning_rate": 2.0976744186046513e-05,
|
533 |
+
"loss": 0.1808,
|
534 |
+
"step": 1875
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.6,
|
538 |
+
"grad_norm": 1.5870317220687866,
|
539 |
+
"learning_rate": 2.0589147286821705e-05,
|
540 |
+
"loss": 0.1811,
|
541 |
+
"step": 1900
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.6,
|
545 |
+
"grad_norm": 0.8534879088401794,
|
546 |
+
"learning_rate": 2.0201550387596903e-05,
|
547 |
+
"loss": 0.2235,
|
548 |
+
"step": 1925
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.61,
|
552 |
+
"grad_norm": 1.5544407367706299,
|
553 |
+
"learning_rate": 1.9813953488372094e-05,
|
554 |
+
"loss": 0.192,
|
555 |
+
"step": 1950
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.62,
|
559 |
+
"grad_norm": 2.284710645675659,
|
560 |
+
"learning_rate": 1.942635658914729e-05,
|
561 |
+
"loss": 0.2307,
|
562 |
+
"step": 1975
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.63,
|
566 |
+
"grad_norm": 2.3412628173828125,
|
567 |
+
"learning_rate": 1.903875968992248e-05,
|
568 |
+
"loss": 0.1858,
|
569 |
+
"step": 2000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.63,
|
573 |
+
"grad_norm": 0.5765611529350281,
|
574 |
+
"learning_rate": 1.8651162790697675e-05,
|
575 |
+
"loss": 0.1833,
|
576 |
+
"step": 2025
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.64,
|
580 |
+
"grad_norm": 1.0757735967636108,
|
581 |
+
"learning_rate": 1.826356589147287e-05,
|
582 |
+
"loss": 0.209,
|
583 |
+
"step": 2050
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.65,
|
587 |
+
"grad_norm": 1.0615739822387695,
|
588 |
+
"learning_rate": 1.7875968992248064e-05,
|
589 |
+
"loss": 0.1591,
|
590 |
+
"step": 2075
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.66,
|
594 |
+
"grad_norm": 0.5009509921073914,
|
595 |
+
"learning_rate": 1.7488372093023256e-05,
|
596 |
+
"loss": 0.1512,
|
597 |
+
"step": 2100
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.67,
|
601 |
+
"grad_norm": 2.7069976329803467,
|
602 |
+
"learning_rate": 1.710077519379845e-05,
|
603 |
+
"loss": 0.2202,
|
604 |
+
"step": 2125
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.67,
|
608 |
+
"grad_norm": 1.9919098615646362,
|
609 |
+
"learning_rate": 1.6713178294573645e-05,
|
610 |
+
"loss": 0.2132,
|
611 |
+
"step": 2150
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.68,
|
615 |
+
"grad_norm": 2.6684300899505615,
|
616 |
+
"learning_rate": 1.6325581395348837e-05,
|
617 |
+
"loss": 0.1887,
|
618 |
+
"step": 2175
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.69,
|
622 |
+
"grad_norm": 2.843564987182617,
|
623 |
+
"learning_rate": 1.593798449612403e-05,
|
624 |
+
"loss": 0.2035,
|
625 |
+
"step": 2200
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.7,
|
629 |
+
"grad_norm": 2.938154697418213,
|
630 |
+
"learning_rate": 1.5550387596899226e-05,
|
631 |
+
"loss": 0.1946,
|
632 |
+
"step": 2225
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.7,
|
636 |
+
"grad_norm": 2.365872859954834,
|
637 |
+
"learning_rate": 1.516279069767442e-05,
|
638 |
+
"loss": 0.159,
|
639 |
+
"step": 2250
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.71,
|
643 |
+
"grad_norm": 2.8501169681549072,
|
644 |
+
"learning_rate": 1.4775193798449614e-05,
|
645 |
+
"loss": 0.1569,
|
646 |
+
"step": 2275
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.72,
|
650 |
+
"grad_norm": 0.6475769877433777,
|
651 |
+
"learning_rate": 1.4387596899224807e-05,
|
652 |
+
"loss": 0.1626,
|
653 |
+
"step": 2300
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.73,
|
657 |
+
"grad_norm": 3.125209093093872,
|
658 |
+
"learning_rate": 1.4000000000000001e-05,
|
659 |
+
"loss": 0.2249,
|
660 |
+
"step": 2325
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.74,
|
664 |
+
"grad_norm": 0.6424142718315125,
|
665 |
+
"learning_rate": 1.3612403100775195e-05,
|
666 |
+
"loss": 0.1583,
|
667 |
+
"step": 2350
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.74,
|
671 |
+
"grad_norm": 1.333817481994629,
|
672 |
+
"learning_rate": 1.3224806201550388e-05,
|
673 |
+
"loss": 0.1505,
|
674 |
+
"step": 2375
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.75,
|
678 |
+
"grad_norm": 0.30924907326698303,
|
679 |
+
"learning_rate": 1.283720930232558e-05,
|
680 |
+
"loss": 0.211,
|
681 |
+
"step": 2400
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.76,
|
685 |
+
"grad_norm": 0.9411177039146423,
|
686 |
+
"learning_rate": 1.2449612403100775e-05,
|
687 |
+
"loss": 0.1582,
|
688 |
+
"step": 2425
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.77,
|
692 |
+
"grad_norm": 0.6235800981521606,
|
693 |
+
"learning_rate": 1.206201550387597e-05,
|
694 |
+
"loss": 0.1762,
|
695 |
+
"step": 2450
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.78,
|
699 |
+
"grad_norm": 1.076593279838562,
|
700 |
+
"learning_rate": 1.1674418604651163e-05,
|
701 |
+
"loss": 0.2124,
|
702 |
+
"step": 2475
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.78,
|
706 |
+
"grad_norm": 1.0768756866455078,
|
707 |
+
"learning_rate": 1.1286821705426358e-05,
|
708 |
+
"loss": 0.2067,
|
709 |
+
"step": 2500
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.79,
|
713 |
+
"grad_norm": 1.3747373819351196,
|
714 |
+
"learning_rate": 1.089922480620155e-05,
|
715 |
+
"loss": 0.1959,
|
716 |
+
"step": 2525
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.8,
|
720 |
+
"grad_norm": 3.307833194732666,
|
721 |
+
"learning_rate": 1.0511627906976746e-05,
|
722 |
+
"loss": 0.2249,
|
723 |
+
"step": 2550
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.81,
|
727 |
+
"grad_norm": 1.8046529293060303,
|
728 |
+
"learning_rate": 1.0124031007751939e-05,
|
729 |
+
"loss": 0.1566,
|
730 |
+
"step": 2575
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.81,
|
734 |
+
"grad_norm": 1.890415072441101,
|
735 |
+
"learning_rate": 9.736434108527132e-06,
|
736 |
+
"loss": 0.1621,
|
737 |
+
"step": 2600
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.82,
|
741 |
+
"grad_norm": 1.755682110786438,
|
742 |
+
"learning_rate": 9.348837209302326e-06,
|
743 |
+
"loss": 0.202,
|
744 |
+
"step": 2625
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.83,
|
748 |
+
"grad_norm": 0.6612691879272461,
|
749 |
+
"learning_rate": 8.96124031007752e-06,
|
750 |
+
"loss": 0.1863,
|
751 |
+
"step": 2650
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.84,
|
755 |
+
"grad_norm": 2.275036334991455,
|
756 |
+
"learning_rate": 8.573643410852714e-06,
|
757 |
+
"loss": 0.173,
|
758 |
+
"step": 2675
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.85,
|
762 |
+
"grad_norm": 0.7513935565948486,
|
763 |
+
"learning_rate": 8.186046511627907e-06,
|
764 |
+
"loss": 0.1884,
|
765 |
+
"step": 2700
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.85,
|
769 |
+
"grad_norm": 1.9435423612594604,
|
770 |
+
"learning_rate": 7.798449612403102e-06,
|
771 |
+
"loss": 0.1795,
|
772 |
+
"step": 2725
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.86,
|
776 |
+
"grad_norm": 0.5520192384719849,
|
777 |
+
"learning_rate": 7.410852713178294e-06,
|
778 |
+
"loss": 0.1908,
|
779 |
+
"step": 2750
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.87,
|
783 |
+
"grad_norm": 2.2986812591552734,
|
784 |
+
"learning_rate": 7.023255813953489e-06,
|
785 |
+
"loss": 0.1767,
|
786 |
+
"step": 2775
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.88,
|
790 |
+
"grad_norm": 2.4153175354003906,
|
791 |
+
"learning_rate": 6.635658914728682e-06,
|
792 |
+
"loss": 0.2202,
|
793 |
+
"step": 2800
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.88,
|
797 |
+
"grad_norm": 2.7443273067474365,
|
798 |
+
"learning_rate": 6.2480620155038765e-06,
|
799 |
+
"loss": 0.1961,
|
800 |
+
"step": 2825
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.89,
|
804 |
+
"grad_norm": 5.525525093078613,
|
805 |
+
"learning_rate": 5.86046511627907e-06,
|
806 |
+
"loss": 0.1827,
|
807 |
+
"step": 2850
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.9,
|
811 |
+
"grad_norm": 2.7762510776519775,
|
812 |
+
"learning_rate": 5.472868217054264e-06,
|
813 |
+
"loss": 0.1816,
|
814 |
+
"step": 2875
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.91,
|
818 |
+
"grad_norm": 2.3923604488372803,
|
819 |
+
"learning_rate": 5.085271317829457e-06,
|
820 |
+
"loss": 0.1482,
|
821 |
+
"step": 2900
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.92,
|
825 |
+
"grad_norm": 0.8370789289474487,
|
826 |
+
"learning_rate": 4.697674418604651e-06,
|
827 |
+
"loss": 0.148,
|
828 |
+
"step": 2925
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.92,
|
832 |
+
"grad_norm": 2.383211374282837,
|
833 |
+
"learning_rate": 4.310077519379845e-06,
|
834 |
+
"loss": 0.1772,
|
835 |
+
"step": 2950
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.93,
|
839 |
+
"grad_norm": 0.5339698195457458,
|
840 |
+
"learning_rate": 3.922480620155039e-06,
|
841 |
+
"loss": 0.1409,
|
842 |
+
"step": 2975
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.94,
|
846 |
+
"grad_norm": 0.5133029222488403,
|
847 |
+
"learning_rate": 3.534883720930233e-06,
|
848 |
+
"loss": 0.1532,
|
849 |
+
"step": 3000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.95,
|
853 |
+
"grad_norm": 3.2108466625213623,
|
854 |
+
"learning_rate": 3.1472868217054267e-06,
|
855 |
+
"loss": 0.1999,
|
856 |
+
"step": 3025
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.96,
|
860 |
+
"grad_norm": 3.6793041229248047,
|
861 |
+
"learning_rate": 2.7596899224806206e-06,
|
862 |
+
"loss": 0.1732,
|
863 |
+
"step": 3050
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.96,
|
867 |
+
"grad_norm": 2.0069997310638428,
|
868 |
+
"learning_rate": 2.372093023255814e-06,
|
869 |
+
"loss": 0.1839,
|
870 |
+
"step": 3075
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.97,
|
874 |
+
"grad_norm": 0.663833737373352,
|
875 |
+
"learning_rate": 1.984496124031008e-06,
|
876 |
+
"loss": 0.1928,
|
877 |
+
"step": 3100
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.98,
|
881 |
+
"grad_norm": 3.452453851699829,
|
882 |
+
"learning_rate": 1.5968992248062018e-06,
|
883 |
+
"loss": 0.1304,
|
884 |
+
"step": 3125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.99,
|
888 |
+
"grad_norm": 0.8049046397209167,
|
889 |
+
"learning_rate": 1.2093023255813954e-06,
|
890 |
+
"loss": 0.1972,
|
891 |
+
"step": 3150
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.99,
|
895 |
+
"grad_norm": 0.5933910608291626,
|
896 |
+
"learning_rate": 8.217054263565891e-07,
|
897 |
+
"loss": 0.159,
|
898 |
+
"step": 3175
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 1.0,
|
902 |
+
"grad_norm": 0.493872731924057,
|
903 |
+
"learning_rate": 4.3410852713178294e-07,
|
904 |
+
"loss": 0.1212,
|
905 |
+
"step": 3200
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.01,
|
909 |
+
"grad_norm": 1.8325016498565674,
|
910 |
+
"learning_rate": 4.651162790697675e-08,
|
911 |
+
"loss": 0.1036,
|
912 |
+
"step": 3225
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 1.01,
|
916 |
+
"step": 3225,
|
917 |
+
"total_flos": 3.9986525216152166e+18,
|
918 |
+
"train_loss": 0.21891093194946762,
|
919 |
+
"train_runtime": 6427.7582,
|
920 |
+
"train_samples_per_second": 8.027,
|
921 |
+
"train_steps_per_second": 0.502
|
922 |
+
}
|
923 |
+
],
|
924 |
+
"logging_steps": 25,
|
925 |
+
"max_steps": 3225,
|
926 |
+
"num_input_tokens_seen": 0,
|
927 |
+
"num_train_epochs": 2,
|
928 |
+
"save_steps": 100,
|
929 |
+
"total_flos": 3.9986525216152166e+18,
|
930 |
+
"train_batch_size": 16,
|
931 |
+
"trial_name": null,
|
932 |
+
"trial_params": null
|
933 |
+
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd676b490639b1dca7e5b0ed857e8abf242bd22491897d3fe80c447a8a1684c7
|
3 |
size 4920
|