Upload 6 files
Browse files
checkpoint-116994/my_custom_model.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b89d605c5e94325b01af0b03336ae434f8871638df687b94c03b36e578eb537
|
3 |
+
size 502285990
|
checkpoint-116994/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0dadcf92f66401229b0fc3840c1f23a6ac82170364711ed8e2c8589b73b60153
|
3 |
+
size 1004571002
|
checkpoint-116994/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47d953e44ced351a19079428860d71a230e5396163b3698ac93402f8343bb63e
|
3 |
+
size 14244
|
checkpoint-116994/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8360e10dc7b9180c15d3d1c8f7d7f766e80a7dc9f5bac7df9a3f22e31ea497b
|
3 |
+
size 1064
|
checkpoint-116994/trainer_state.json
ADDED
@@ -0,0 +1,1055 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 36.98830224470439,
|
5 |
+
"eval_steps": 1581,
|
6 |
+
"global_step": 116994,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.5,
|
13 |
+
"learning_rate": 4.995001580777743e-05,
|
14 |
+
"loss": 3.0674,
|
15 |
+
"step": 1581
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.5,
|
19 |
+
"eval_loss": 3.00907301902771,
|
20 |
+
"eval_runtime": 732.5252,
|
21 |
+
"eval_samples_per_second": 44.214,
|
22 |
+
"eval_steps_per_second": 1.383,
|
23 |
+
"step": 1581
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"learning_rate": 4.990003161555485e-05,
|
28 |
+
"loss": 2.8959,
|
29 |
+
"step": 3162
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 1.0,
|
33 |
+
"eval_loss": 2.149791717529297,
|
34 |
+
"eval_runtime": 732.3378,
|
35 |
+
"eval_samples_per_second": 44.225,
|
36 |
+
"eval_steps_per_second": 1.383,
|
37 |
+
"step": 3162
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.5,
|
41 |
+
"learning_rate": 4.985004742333228e-05,
|
42 |
+
"loss": 1.5763,
|
43 |
+
"step": 4743
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 1.5,
|
47 |
+
"eval_loss": 1.1582367420196533,
|
48 |
+
"eval_runtime": 732.2588,
|
49 |
+
"eval_samples_per_second": 44.23,
|
50 |
+
"eval_steps_per_second": 1.383,
|
51 |
+
"step": 4743
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 2.0,
|
55 |
+
"learning_rate": 4.9800063231109704e-05,
|
56 |
+
"loss": 1.072,
|
57 |
+
"step": 6324
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 2.0,
|
61 |
+
"eval_loss": 0.8775840401649475,
|
62 |
+
"eval_runtime": 733.2045,
|
63 |
+
"eval_samples_per_second": 44.173,
|
64 |
+
"eval_steps_per_second": 1.382,
|
65 |
+
"step": 6324
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.5,
|
69 |
+
"learning_rate": 4.975007903888714e-05,
|
70 |
+
"loss": 0.8663,
|
71 |
+
"step": 7905
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 2.5,
|
75 |
+
"eval_loss": 0.7342700958251953,
|
76 |
+
"eval_runtime": 729.9421,
|
77 |
+
"eval_samples_per_second": 44.371,
|
78 |
+
"eval_steps_per_second": 1.388,
|
79 |
+
"step": 7905
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 3.0,
|
83 |
+
"learning_rate": 4.970009484666456e-05,
|
84 |
+
"loss": 0.7491,
|
85 |
+
"step": 9486
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 3.0,
|
89 |
+
"eval_loss": 0.652782678604126,
|
90 |
+
"eval_runtime": 730.2341,
|
91 |
+
"eval_samples_per_second": 44.353,
|
92 |
+
"eval_steps_per_second": 1.387,
|
93 |
+
"step": 9486
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 3.5,
|
97 |
+
"learning_rate": 4.965011065444199e-05,
|
98 |
+
"loss": 0.6797,
|
99 |
+
"step": 11067
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 3.5,
|
103 |
+
"eval_loss": 0.5981677174568176,
|
104 |
+
"eval_runtime": 731.2047,
|
105 |
+
"eval_samples_per_second": 44.294,
|
106 |
+
"eval_steps_per_second": 1.385,
|
107 |
+
"step": 11067
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 4.0,
|
111 |
+
"learning_rate": 4.960012646221941e-05,
|
112 |
+
"loss": 0.6299,
|
113 |
+
"step": 12648
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.0,
|
117 |
+
"eval_loss": 0.558130145072937,
|
118 |
+
"eval_runtime": 731.0787,
|
119 |
+
"eval_samples_per_second": 44.302,
|
120 |
+
"eval_steps_per_second": 1.386,
|
121 |
+
"step": 12648
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 4.5,
|
125 |
+
"learning_rate": 4.955014226999684e-05,
|
126 |
+
"loss": 0.592,
|
127 |
+
"step": 14229
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"epoch": 4.5,
|
131 |
+
"eval_loss": 0.5258910655975342,
|
132 |
+
"eval_runtime": 731.2669,
|
133 |
+
"eval_samples_per_second": 44.29,
|
134 |
+
"eval_steps_per_second": 1.385,
|
135 |
+
"step": 14229
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 5.0,
|
139 |
+
"learning_rate": 4.950015807777427e-05,
|
140 |
+
"loss": 0.5608,
|
141 |
+
"step": 15810
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 5.0,
|
145 |
+
"eval_loss": 0.500377357006073,
|
146 |
+
"eval_runtime": 730.6976,
|
147 |
+
"eval_samples_per_second": 44.325,
|
148 |
+
"eval_steps_per_second": 1.386,
|
149 |
+
"step": 15810
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 5.5,
|
153 |
+
"learning_rate": 4.945017388555169e-05,
|
154 |
+
"loss": 0.5358,
|
155 |
+
"step": 17391
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 5.5,
|
159 |
+
"eval_loss": 0.4785815179347992,
|
160 |
+
"eval_runtime": 730.9055,
|
161 |
+
"eval_samples_per_second": 44.312,
|
162 |
+
"eval_steps_per_second": 1.386,
|
163 |
+
"step": 17391
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 6.0,
|
167 |
+
"learning_rate": 4.940018969332912e-05,
|
168 |
+
"loss": 0.5145,
|
169 |
+
"step": 18972
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 6.0,
|
173 |
+
"eval_loss": 0.4611227214336395,
|
174 |
+
"eval_runtime": 731.1857,
|
175 |
+
"eval_samples_per_second": 44.295,
|
176 |
+
"eval_steps_per_second": 1.385,
|
177 |
+
"step": 18972
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 6.5,
|
181 |
+
"learning_rate": 4.935020550110654e-05,
|
182 |
+
"loss": 0.496,
|
183 |
+
"step": 20553
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 6.5,
|
187 |
+
"eval_loss": 0.44416335225105286,
|
188 |
+
"eval_runtime": 731.3727,
|
189 |
+
"eval_samples_per_second": 44.284,
|
190 |
+
"eval_steps_per_second": 1.385,
|
191 |
+
"step": 20553
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.0,
|
195 |
+
"learning_rate": 4.930022130888398e-05,
|
196 |
+
"loss": 0.4802,
|
197 |
+
"step": 22134
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 7.0,
|
201 |
+
"eval_loss": 0.4299512505531311,
|
202 |
+
"eval_runtime": 731.2898,
|
203 |
+
"eval_samples_per_second": 44.289,
|
204 |
+
"eval_steps_per_second": 1.385,
|
205 |
+
"step": 22134
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 7.5,
|
209 |
+
"learning_rate": 4.92502371166614e-05,
|
210 |
+
"loss": 0.4651,
|
211 |
+
"step": 23715
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 7.5,
|
215 |
+
"eval_loss": 0.4183834195137024,
|
216 |
+
"eval_runtime": 731.1247,
|
217 |
+
"eval_samples_per_second": 44.299,
|
218 |
+
"eval_steps_per_second": 1.386,
|
219 |
+
"step": 23715
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 8.0,
|
223 |
+
"learning_rate": 4.920025292443883e-05,
|
224 |
+
"loss": 0.453,
|
225 |
+
"step": 25296
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 8.0,
|
229 |
+
"eval_loss": 0.40729984641075134,
|
230 |
+
"eval_runtime": 730.8948,
|
231 |
+
"eval_samples_per_second": 44.313,
|
232 |
+
"eval_steps_per_second": 1.386,
|
233 |
+
"step": 25296
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 8.5,
|
237 |
+
"learning_rate": 4.915026873221625e-05,
|
238 |
+
"loss": 0.4415,
|
239 |
+
"step": 26877
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 8.5,
|
243 |
+
"eval_loss": 0.39817574620246887,
|
244 |
+
"eval_runtime": 731.174,
|
245 |
+
"eval_samples_per_second": 44.296,
|
246 |
+
"eval_steps_per_second": 1.385,
|
247 |
+
"step": 26877
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 9.0,
|
251 |
+
"learning_rate": 4.910028453999368e-05,
|
252 |
+
"loss": 0.4306,
|
253 |
+
"step": 28458
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 9.0,
|
257 |
+
"eval_loss": 0.3896329998970032,
|
258 |
+
"eval_runtime": 730.8703,
|
259 |
+
"eval_samples_per_second": 44.314,
|
260 |
+
"eval_steps_per_second": 1.386,
|
261 |
+
"step": 28458
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 9.5,
|
265 |
+
"learning_rate": 4.905030034777111e-05,
|
266 |
+
"loss": 0.4209,
|
267 |
+
"step": 30039
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 9.5,
|
271 |
+
"eval_loss": 0.3798244297504425,
|
272 |
+
"eval_runtime": 731.1006,
|
273 |
+
"eval_samples_per_second": 44.3,
|
274 |
+
"eval_steps_per_second": 1.386,
|
275 |
+
"step": 30039
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 10.0,
|
279 |
+
"learning_rate": 4.900031615554853e-05,
|
280 |
+
"loss": 0.4129,
|
281 |
+
"step": 31620
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 10.0,
|
285 |
+
"eval_loss": 0.3725457489490509,
|
286 |
+
"eval_runtime": 731.3194,
|
287 |
+
"eval_samples_per_second": 44.287,
|
288 |
+
"eval_steps_per_second": 1.385,
|
289 |
+
"step": 31620
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 10.5,
|
293 |
+
"learning_rate": 4.895033196332596e-05,
|
294 |
+
"loss": 0.4043,
|
295 |
+
"step": 33201
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 10.5,
|
299 |
+
"eval_loss": 0.3666287660598755,
|
300 |
+
"eval_runtime": 730.8225,
|
301 |
+
"eval_samples_per_second": 44.317,
|
302 |
+
"eval_steps_per_second": 1.386,
|
303 |
+
"step": 33201
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 11.0,
|
307 |
+
"learning_rate": 4.890034777110338e-05,
|
308 |
+
"loss": 0.3972,
|
309 |
+
"step": 34782
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 11.0,
|
313 |
+
"eval_loss": 0.35826411843299866,
|
314 |
+
"eval_runtime": 731.1962,
|
315 |
+
"eval_samples_per_second": 44.295,
|
316 |
+
"eval_steps_per_second": 1.385,
|
317 |
+
"step": 34782
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 11.5,
|
321 |
+
"learning_rate": 4.885036357888081e-05,
|
322 |
+
"loss": 0.39,
|
323 |
+
"step": 36363
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 11.5,
|
327 |
+
"eval_loss": 0.3527071177959442,
|
328 |
+
"eval_runtime": 730.1333,
|
329 |
+
"eval_samples_per_second": 44.359,
|
330 |
+
"eval_steps_per_second": 1.387,
|
331 |
+
"step": 36363
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 12.0,
|
335 |
+
"learning_rate": 4.880037938665824e-05,
|
336 |
+
"loss": 0.3835,
|
337 |
+
"step": 37944
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 12.0,
|
341 |
+
"eval_loss": 0.3478526175022125,
|
342 |
+
"eval_runtime": 731.1852,
|
343 |
+
"eval_samples_per_second": 44.295,
|
344 |
+
"eval_steps_per_second": 1.385,
|
345 |
+
"step": 37944
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 12.5,
|
349 |
+
"learning_rate": 4.875039519443567e-05,
|
350 |
+
"loss": 0.3771,
|
351 |
+
"step": 39525
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 12.5,
|
355 |
+
"eval_loss": 0.341802179813385,
|
356 |
+
"eval_runtime": 730.7567,
|
357 |
+
"eval_samples_per_second": 44.321,
|
358 |
+
"eval_steps_per_second": 1.386,
|
359 |
+
"step": 39525
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 13.0,
|
363 |
+
"learning_rate": 4.870041100221309e-05,
|
364 |
+
"loss": 0.3717,
|
365 |
+
"step": 41106
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 13.0,
|
369 |
+
"eval_loss": 0.33608582615852356,
|
370 |
+
"eval_runtime": 731.8327,
|
371 |
+
"eval_samples_per_second": 44.256,
|
372 |
+
"eval_steps_per_second": 1.384,
|
373 |
+
"step": 41106
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 13.5,
|
377 |
+
"learning_rate": 4.865042680999052e-05,
|
378 |
+
"loss": 0.3658,
|
379 |
+
"step": 42687
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 13.5,
|
383 |
+
"eval_loss": 0.3327673375606537,
|
384 |
+
"eval_runtime": 730.5115,
|
385 |
+
"eval_samples_per_second": 44.336,
|
386 |
+
"eval_steps_per_second": 1.387,
|
387 |
+
"step": 42687
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 14.0,
|
391 |
+
"learning_rate": 4.860044261776795e-05,
|
392 |
+
"loss": 0.3611,
|
393 |
+
"step": 44268
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 14.0,
|
397 |
+
"eval_loss": 0.3284221887588501,
|
398 |
+
"eval_runtime": 730.7314,
|
399 |
+
"eval_samples_per_second": 44.323,
|
400 |
+
"eval_steps_per_second": 1.386,
|
401 |
+
"step": 44268
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 14.5,
|
405 |
+
"learning_rate": 4.855045842554537e-05,
|
406 |
+
"loss": 0.3561,
|
407 |
+
"step": 45849
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 14.5,
|
411 |
+
"eval_loss": 0.3230164051055908,
|
412 |
+
"eval_runtime": 731.0925,
|
413 |
+
"eval_samples_per_second": 44.301,
|
414 |
+
"eval_steps_per_second": 1.386,
|
415 |
+
"step": 45849
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 15.0,
|
419 |
+
"learning_rate": 4.85004742333228e-05,
|
420 |
+
"loss": 0.3512,
|
421 |
+
"step": 47430
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 15.0,
|
425 |
+
"eval_loss": 0.31766462326049805,
|
426 |
+
"eval_runtime": 730.5299,
|
427 |
+
"eval_samples_per_second": 44.335,
|
428 |
+
"eval_steps_per_second": 1.387,
|
429 |
+
"step": 47430
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 15.5,
|
433 |
+
"learning_rate": 4.845049004110022e-05,
|
434 |
+
"loss": 0.3464,
|
435 |
+
"step": 49011
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 15.5,
|
439 |
+
"eval_loss": 0.31685832142829895,
|
440 |
+
"eval_runtime": 730.0764,
|
441 |
+
"eval_samples_per_second": 44.362,
|
442 |
+
"eval_steps_per_second": 1.388,
|
443 |
+
"step": 49011
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 15.99,
|
447 |
+
"learning_rate": 4.840050584887765e-05,
|
448 |
+
"loss": 0.3426,
|
449 |
+
"step": 50592
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 15.99,
|
453 |
+
"eval_loss": 0.31031087040901184,
|
454 |
+
"eval_runtime": 729.7311,
|
455 |
+
"eval_samples_per_second": 44.383,
|
456 |
+
"eval_steps_per_second": 1.388,
|
457 |
+
"step": 50592
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 16.49,
|
461 |
+
"learning_rate": 4.835052165665508e-05,
|
462 |
+
"loss": 0.3385,
|
463 |
+
"step": 52173
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 16.49,
|
467 |
+
"eval_loss": 0.30902454257011414,
|
468 |
+
"eval_runtime": 730.6826,
|
469 |
+
"eval_samples_per_second": 44.326,
|
470 |
+
"eval_steps_per_second": 1.386,
|
471 |
+
"step": 52173
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 16.99,
|
475 |
+
"learning_rate": 4.8300537464432506e-05,
|
476 |
+
"loss": 0.3347,
|
477 |
+
"step": 53754
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 16.99,
|
481 |
+
"eval_loss": 0.30510178208351135,
|
482 |
+
"eval_runtime": 731.2599,
|
483 |
+
"eval_samples_per_second": 44.291,
|
484 |
+
"eval_steps_per_second": 1.385,
|
485 |
+
"step": 53754
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 17.49,
|
489 |
+
"learning_rate": 4.825055327220993e-05,
|
490 |
+
"loss": 0.3309,
|
491 |
+
"step": 55335
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 17.49,
|
495 |
+
"eval_loss": 0.301559180021286,
|
496 |
+
"eval_runtime": 730.9908,
|
497 |
+
"eval_samples_per_second": 44.307,
|
498 |
+
"eval_steps_per_second": 1.386,
|
499 |
+
"step": 55335
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 17.99,
|
503 |
+
"learning_rate": 4.8200569079987357e-05,
|
504 |
+
"loss": 0.3278,
|
505 |
+
"step": 56916
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 17.99,
|
509 |
+
"eval_loss": 0.29871445894241333,
|
510 |
+
"eval_runtime": 730.5796,
|
511 |
+
"eval_samples_per_second": 44.332,
|
512 |
+
"eval_steps_per_second": 1.387,
|
513 |
+
"step": 56916
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 18.49,
|
517 |
+
"learning_rate": 4.8150584887764785e-05,
|
518 |
+
"loss": 0.3241,
|
519 |
+
"step": 58497
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 18.49,
|
523 |
+
"eval_loss": 0.29653671383857727,
|
524 |
+
"eval_runtime": 730.4163,
|
525 |
+
"eval_samples_per_second": 44.342,
|
526 |
+
"eval_steps_per_second": 1.387,
|
527 |
+
"step": 58497
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 18.99,
|
531 |
+
"learning_rate": 4.810060069554221e-05,
|
532 |
+
"loss": 0.3213,
|
533 |
+
"step": 60078
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 18.99,
|
537 |
+
"eval_loss": 0.29158106446266174,
|
538 |
+
"eval_runtime": 731.4216,
|
539 |
+
"eval_samples_per_second": 44.281,
|
540 |
+
"eval_steps_per_second": 1.385,
|
541 |
+
"step": 60078
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 19.49,
|
545 |
+
"learning_rate": 4.8050616503319636e-05,
|
546 |
+
"loss": 0.3171,
|
547 |
+
"step": 61659
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 19.49,
|
551 |
+
"eval_loss": 0.2904985845088959,
|
552 |
+
"eval_runtime": 731.2299,
|
553 |
+
"eval_samples_per_second": 44.292,
|
554 |
+
"eval_steps_per_second": 1.385,
|
555 |
+
"step": 61659
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 19.99,
|
559 |
+
"learning_rate": 4.800063231109706e-05,
|
560 |
+
"loss": 0.3144,
|
561 |
+
"step": 63240
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 19.99,
|
565 |
+
"eval_loss": 0.28789228200912476,
|
566 |
+
"eval_runtime": 731.0148,
|
567 |
+
"eval_samples_per_second": 44.306,
|
568 |
+
"eval_steps_per_second": 1.386,
|
569 |
+
"step": 63240
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 20.49,
|
573 |
+
"learning_rate": 4.795064811887449e-05,
|
574 |
+
"loss": 0.3118,
|
575 |
+
"step": 64821
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 20.49,
|
579 |
+
"eval_loss": 0.2837814390659332,
|
580 |
+
"eval_runtime": 731.7352,
|
581 |
+
"eval_samples_per_second": 44.262,
|
582 |
+
"eval_steps_per_second": 1.384,
|
583 |
+
"step": 64821
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 20.99,
|
587 |
+
"learning_rate": 4.7900663926651916e-05,
|
588 |
+
"loss": 0.3095,
|
589 |
+
"step": 66402
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 20.99,
|
593 |
+
"eval_loss": 0.2827259302139282,
|
594 |
+
"eval_runtime": 731.0522,
|
595 |
+
"eval_samples_per_second": 44.303,
|
596 |
+
"eval_steps_per_second": 1.386,
|
597 |
+
"step": 66402
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 21.49,
|
601 |
+
"learning_rate": 4.7850679734429344e-05,
|
602 |
+
"loss": 0.306,
|
603 |
+
"step": 67983
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 21.49,
|
607 |
+
"eval_loss": 0.2803361415863037,
|
608 |
+
"eval_runtime": 730.6173,
|
609 |
+
"eval_samples_per_second": 44.33,
|
610 |
+
"eval_steps_per_second": 1.386,
|
611 |
+
"step": 67983
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 21.99,
|
615 |
+
"learning_rate": 4.7800695542206766e-05,
|
616 |
+
"loss": 0.3041,
|
617 |
+
"step": 69564
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 21.99,
|
621 |
+
"eval_loss": 0.27723076939582825,
|
622 |
+
"eval_runtime": 730.7403,
|
623 |
+
"eval_samples_per_second": 44.322,
|
624 |
+
"eval_steps_per_second": 1.386,
|
625 |
+
"step": 69564
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 22.49,
|
629 |
+
"learning_rate": 4.7750711349984195e-05,
|
630 |
+
"loss": 0.3008,
|
631 |
+
"step": 71145
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 22.49,
|
635 |
+
"eval_loss": 0.27573683857917786,
|
636 |
+
"eval_runtime": 731.0262,
|
637 |
+
"eval_samples_per_second": 44.305,
|
638 |
+
"eval_steps_per_second": 1.386,
|
639 |
+
"step": 71145
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 22.99,
|
643 |
+
"learning_rate": 4.7700727157761624e-05,
|
644 |
+
"loss": 0.2988,
|
645 |
+
"step": 72726
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 22.99,
|
649 |
+
"eval_loss": 0.27441859245300293,
|
650 |
+
"eval_runtime": 730.8932,
|
651 |
+
"eval_samples_per_second": 44.313,
|
652 |
+
"eval_steps_per_second": 1.386,
|
653 |
+
"step": 72726
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 23.49,
|
657 |
+
"learning_rate": 4.7650742965539046e-05,
|
658 |
+
"loss": 0.2962,
|
659 |
+
"step": 74307
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 23.49,
|
663 |
+
"eval_loss": 0.271846204996109,
|
664 |
+
"eval_runtime": 730.9499,
|
665 |
+
"eval_samples_per_second": 44.309,
|
666 |
+
"eval_steps_per_second": 1.386,
|
667 |
+
"step": 74307
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 23.99,
|
671 |
+
"learning_rate": 4.7600758773316475e-05,
|
672 |
+
"loss": 0.2942,
|
673 |
+
"step": 75888
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 23.99,
|
677 |
+
"eval_loss": 0.26958543062210083,
|
678 |
+
"eval_runtime": 730.8234,
|
679 |
+
"eval_samples_per_second": 44.317,
|
680 |
+
"eval_steps_per_second": 1.386,
|
681 |
+
"step": 75888
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 24.49,
|
685 |
+
"learning_rate": 4.75507745810939e-05,
|
686 |
+
"loss": 0.2917,
|
687 |
+
"step": 77469
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 24.49,
|
691 |
+
"eval_loss": 0.26596799492836,
|
692 |
+
"eval_runtime": 730.7217,
|
693 |
+
"eval_samples_per_second": 44.323,
|
694 |
+
"eval_steps_per_second": 1.386,
|
695 |
+
"step": 77469
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 24.99,
|
699 |
+
"learning_rate": 4.7500790388871325e-05,
|
700 |
+
"loss": 0.2896,
|
701 |
+
"step": 79050
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 24.99,
|
705 |
+
"eval_loss": 0.26481589674949646,
|
706 |
+
"eval_runtime": 731.0551,
|
707 |
+
"eval_samples_per_second": 44.303,
|
708 |
+
"eval_steps_per_second": 1.386,
|
709 |
+
"step": 79050
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 25.49,
|
713 |
+
"learning_rate": 4.7450806196648754e-05,
|
714 |
+
"loss": 0.2873,
|
715 |
+
"step": 80631
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 25.49,
|
719 |
+
"eval_loss": 0.26311883330345154,
|
720 |
+
"eval_runtime": 730.6956,
|
721 |
+
"eval_samples_per_second": 44.325,
|
722 |
+
"eval_steps_per_second": 1.386,
|
723 |
+
"step": 80631
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 25.99,
|
727 |
+
"learning_rate": 4.740082200442618e-05,
|
728 |
+
"loss": 0.2853,
|
729 |
+
"step": 82212
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 25.99,
|
733 |
+
"eval_loss": 0.26103758811950684,
|
734 |
+
"eval_runtime": 731.3509,
|
735 |
+
"eval_samples_per_second": 44.285,
|
736 |
+
"eval_steps_per_second": 1.385,
|
737 |
+
"step": 82212
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 26.49,
|
741 |
+
"learning_rate": 4.7350837812203605e-05,
|
742 |
+
"loss": 0.2834,
|
743 |
+
"step": 83793
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 26.49,
|
747 |
+
"eval_loss": 0.25927209854125977,
|
748 |
+
"eval_runtime": 731.6353,
|
749 |
+
"eval_samples_per_second": 44.268,
|
750 |
+
"eval_steps_per_second": 1.385,
|
751 |
+
"step": 83793
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 26.99,
|
755 |
+
"learning_rate": 4.7300853619981034e-05,
|
756 |
+
"loss": 0.282,
|
757 |
+
"step": 85374
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 26.99,
|
761 |
+
"eval_loss": 0.2577729821205139,
|
762 |
+
"eval_runtime": 730.4389,
|
763 |
+
"eval_samples_per_second": 44.34,
|
764 |
+
"eval_steps_per_second": 1.387,
|
765 |
+
"step": 85374
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 27.49,
|
769 |
+
"learning_rate": 4.725086942775846e-05,
|
770 |
+
"loss": 0.2788,
|
771 |
+
"step": 86955
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 27.49,
|
775 |
+
"eval_loss": 0.25541242957115173,
|
776 |
+
"eval_runtime": 730.4208,
|
777 |
+
"eval_samples_per_second": 44.342,
|
778 |
+
"eval_steps_per_second": 1.387,
|
779 |
+
"step": 86955
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 27.99,
|
783 |
+
"learning_rate": 4.7200885235535884e-05,
|
784 |
+
"loss": 0.2781,
|
785 |
+
"step": 88536
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 27.99,
|
789 |
+
"eval_loss": 0.2544184625148773,
|
790 |
+
"eval_runtime": 730.365,
|
791 |
+
"eval_samples_per_second": 44.345,
|
792 |
+
"eval_steps_per_second": 1.387,
|
793 |
+
"step": 88536
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 28.49,
|
797 |
+
"learning_rate": 4.715090104331331e-05,
|
798 |
+
"loss": 0.2755,
|
799 |
+
"step": 90117
|
800 |
+
},
|
801 |
+
{
|
802 |
+
"epoch": 28.49,
|
803 |
+
"eval_loss": 0.25301480293273926,
|
804 |
+
"eval_runtime": 730.3814,
|
805 |
+
"eval_samples_per_second": 44.344,
|
806 |
+
"eval_steps_per_second": 1.387,
|
807 |
+
"step": 90117
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 28.99,
|
811 |
+
"learning_rate": 4.7100916851090735e-05,
|
812 |
+
"loss": 0.2742,
|
813 |
+
"step": 91698
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 28.99,
|
817 |
+
"eval_loss": 0.24893982708454132,
|
818 |
+
"eval_runtime": 730.5139,
|
819 |
+
"eval_samples_per_second": 44.336,
|
820 |
+
"eval_steps_per_second": 1.387,
|
821 |
+
"step": 91698
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 29.49,
|
825 |
+
"learning_rate": 4.7050932658868164e-05,
|
826 |
+
"loss": 0.2723,
|
827 |
+
"step": 93279
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 29.49,
|
831 |
+
"eval_loss": 0.24909181892871857,
|
832 |
+
"eval_runtime": 729.9952,
|
833 |
+
"eval_samples_per_second": 44.367,
|
834 |
+
"eval_steps_per_second": 1.388,
|
835 |
+
"step": 93279
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 29.99,
|
839 |
+
"learning_rate": 4.700094846664559e-05,
|
840 |
+
"loss": 0.2709,
|
841 |
+
"step": 94860
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 29.99,
|
845 |
+
"eval_loss": 0.248749241232872,
|
846 |
+
"eval_runtime": 730.3489,
|
847 |
+
"eval_samples_per_second": 44.346,
|
848 |
+
"eval_steps_per_second": 1.387,
|
849 |
+
"step": 94860
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 30.49,
|
853 |
+
"learning_rate": 4.695096427442302e-05,
|
854 |
+
"loss": 0.2689,
|
855 |
+
"step": 96441
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 30.49,
|
859 |
+
"eval_loss": 0.24696363508701324,
|
860 |
+
"eval_runtime": 730.2536,
|
861 |
+
"eval_samples_per_second": 44.352,
|
862 |
+
"eval_steps_per_second": 1.387,
|
863 |
+
"step": 96441
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 30.99,
|
867 |
+
"learning_rate": 4.6900980082200443e-05,
|
868 |
+
"loss": 0.2671,
|
869 |
+
"step": 98022
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 30.99,
|
873 |
+
"eval_loss": 0.2443317025899887,
|
874 |
+
"eval_runtime": 730.6664,
|
875 |
+
"eval_samples_per_second": 44.327,
|
876 |
+
"eval_steps_per_second": 1.386,
|
877 |
+
"step": 98022
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 31.49,
|
881 |
+
"learning_rate": 4.685099588997787e-05,
|
882 |
+
"loss": 0.2659,
|
883 |
+
"step": 99603
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 31.49,
|
887 |
+
"eval_loss": 0.24296976625919342,
|
888 |
+
"eval_runtime": 730.1073,
|
889 |
+
"eval_samples_per_second": 44.361,
|
890 |
+
"eval_steps_per_second": 1.387,
|
891 |
+
"step": 99603
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 31.99,
|
895 |
+
"learning_rate": 4.68010116977553e-05,
|
896 |
+
"loss": 0.2641,
|
897 |
+
"step": 101184
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 31.99,
|
901 |
+
"eval_loss": 0.2419230043888092,
|
902 |
+
"eval_runtime": 730.5564,
|
903 |
+
"eval_samples_per_second": 44.333,
|
904 |
+
"eval_steps_per_second": 1.387,
|
905 |
+
"step": 101184
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 32.49,
|
909 |
+
"learning_rate": 4.675102750553272e-05,
|
910 |
+
"loss": 0.2624,
|
911 |
+
"step": 102765
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 32.49,
|
915 |
+
"eval_loss": 0.24093250930309296,
|
916 |
+
"eval_runtime": 729.8364,
|
917 |
+
"eval_samples_per_second": 44.377,
|
918 |
+
"eval_steps_per_second": 1.388,
|
919 |
+
"step": 102765
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 32.99,
|
923 |
+
"learning_rate": 4.670104331331015e-05,
|
924 |
+
"loss": 0.2616,
|
925 |
+
"step": 104346
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 32.99,
|
929 |
+
"eval_loss": 0.24029986560344696,
|
930 |
+
"eval_runtime": 729.4415,
|
931 |
+
"eval_samples_per_second": 44.401,
|
932 |
+
"eval_steps_per_second": 1.389,
|
933 |
+
"step": 104346
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 33.49,
|
937 |
+
"learning_rate": 4.6651059121087574e-05,
|
938 |
+
"loss": 0.2603,
|
939 |
+
"step": 105927
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 33.49,
|
943 |
+
"eval_loss": 0.23759804666042328,
|
944 |
+
"eval_runtime": 729.4526,
|
945 |
+
"eval_samples_per_second": 44.4,
|
946 |
+
"eval_steps_per_second": 1.389,
|
947 |
+
"step": 105927
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 33.99,
|
951 |
+
"learning_rate": 4.6601074928865e-05,
|
952 |
+
"loss": 0.2582,
|
953 |
+
"step": 107508
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 33.99,
|
957 |
+
"eval_loss": 0.23841261863708496,
|
958 |
+
"eval_runtime": 730.3906,
|
959 |
+
"eval_samples_per_second": 44.343,
|
960 |
+
"eval_steps_per_second": 1.387,
|
961 |
+
"step": 107508
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 34.49,
|
965 |
+
"learning_rate": 4.6551090736642425e-05,
|
966 |
+
"loss": 0.2568,
|
967 |
+
"step": 109089
|
968 |
+
},
|
969 |
+
{
|
970 |
+
"epoch": 34.49,
|
971 |
+
"eval_loss": 0.23516328632831573,
|
972 |
+
"eval_runtime": 730.065,
|
973 |
+
"eval_samples_per_second": 44.363,
|
974 |
+
"eval_steps_per_second": 1.388,
|
975 |
+
"step": 109089
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 34.99,
|
979 |
+
"learning_rate": 4.650110654441986e-05,
|
980 |
+
"loss": 0.2554,
|
981 |
+
"step": 110670
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 34.99,
|
985 |
+
"eval_loss": 0.2346547394990921,
|
986 |
+
"eval_runtime": 729.7863,
|
987 |
+
"eval_samples_per_second": 44.38,
|
988 |
+
"eval_steps_per_second": 1.388,
|
989 |
+
"step": 110670
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 35.49,
|
993 |
+
"learning_rate": 4.645112235219728e-05,
|
994 |
+
"loss": 0.2538,
|
995 |
+
"step": 112251
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 35.49,
|
999 |
+
"eval_loss": 0.23422306776046753,
|
1000 |
+
"eval_runtime": 729.5559,
|
1001 |
+
"eval_samples_per_second": 44.394,
|
1002 |
+
"eval_steps_per_second": 1.389,
|
1003 |
+
"step": 112251
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 35.99,
|
1007 |
+
"learning_rate": 4.640113815997471e-05,
|
1008 |
+
"loss": 0.253,
|
1009 |
+
"step": 113832
|
1010 |
+
},
|
1011 |
+
{
|
1012 |
+
"epoch": 35.99,
|
1013 |
+
"eval_loss": 0.2336236983537674,
|
1014 |
+
"eval_runtime": 729.8583,
|
1015 |
+
"eval_samples_per_second": 44.376,
|
1016 |
+
"eval_steps_per_second": 1.388,
|
1017 |
+
"step": 113832
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 36.49,
|
1021 |
+
"learning_rate": 4.635115396775214e-05,
|
1022 |
+
"loss": 0.2517,
|
1023 |
+
"step": 115413
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 36.49,
|
1027 |
+
"eval_loss": 0.23158451914787292,
|
1028 |
+
"eval_runtime": 730.2735,
|
1029 |
+
"eval_samples_per_second": 44.351,
|
1030 |
+
"eval_steps_per_second": 1.387,
|
1031 |
+
"step": 115413
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 36.99,
|
1035 |
+
"learning_rate": 4.630116977552956e-05,
|
1036 |
+
"loss": 0.25,
|
1037 |
+
"step": 116994
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 36.99,
|
1041 |
+
"eval_loss": 0.2291453778743744,
|
1042 |
+
"eval_runtime": 730.6072,
|
1043 |
+
"eval_samples_per_second": 44.33,
|
1044 |
+
"eval_steps_per_second": 1.387,
|
1045 |
+
"step": 116994
|
1046 |
+
}
|
1047 |
+
],
|
1048 |
+
"logging_steps": 1581,
|
1049 |
+
"max_steps": 1581500,
|
1050 |
+
"num_train_epochs": 500,
|
1051 |
+
"save_steps": 1581,
|
1052 |
+
"total_flos": 7.944349100547981e+18,
|
1053 |
+
"trial_name": null,
|
1054 |
+
"trial_params": null
|
1055 |
+
}
|
checkpoint-116994/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2621a21fd43f188955ba955f7f93eab840a7c1ee63d8e4944a528c04059638ce
|
3 |
+
size 4600
|