Upload 2 files
Browse files- Med360/optimizer.pt +3 -0
- Med360/trainer_state.json +237 -0
Med360/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:49ecd9f08c6dc9df7f075a8ec7a080e702883e8653731e427e104f4589357bfd
|
3 |
+
size 671247290
|
Med360/trainer_state.json
ADDED
@@ -0,0 +1,237 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7331975560081466,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 360,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 0.0002,
|
14 |
+
"loss": 1.6532,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 0.0002,
|
20 |
+
"loss": 1.4479,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.06,
|
25 |
+
"learning_rate": 0.0002,
|
26 |
+
"loss": 1.5807,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.08,
|
31 |
+
"learning_rate": 0.0002,
|
32 |
+
"loss": 1.8864,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.1,
|
37 |
+
"learning_rate": 0.0002,
|
38 |
+
"loss": 1.9486,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.12,
|
43 |
+
"learning_rate": 0.0002,
|
44 |
+
"loss": 1.4537,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.14,
|
49 |
+
"learning_rate": 0.0002,
|
50 |
+
"loss": 1.4056,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.16,
|
55 |
+
"learning_rate": 0.0002,
|
56 |
+
"loss": 1.4739,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.18,
|
61 |
+
"learning_rate": 0.0002,
|
62 |
+
"loss": 1.878,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.2,
|
67 |
+
"learning_rate": 0.0002,
|
68 |
+
"loss": 1.9504,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.22,
|
73 |
+
"learning_rate": 0.0002,
|
74 |
+
"loss": 1.465,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.24,
|
79 |
+
"learning_rate": 0.0002,
|
80 |
+
"loss": 1.4416,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.26,
|
85 |
+
"learning_rate": 0.0002,
|
86 |
+
"loss": 1.5208,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.29,
|
91 |
+
"learning_rate": 0.0002,
|
92 |
+
"loss": 1.8197,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.31,
|
97 |
+
"learning_rate": 0.0002,
|
98 |
+
"loss": 1.9127,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.33,
|
103 |
+
"learning_rate": 0.0002,
|
104 |
+
"loss": 1.4908,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.35,
|
109 |
+
"learning_rate": 0.0002,
|
110 |
+
"loss": 1.3915,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.37,
|
115 |
+
"learning_rate": 0.0002,
|
116 |
+
"loss": 1.5791,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.39,
|
121 |
+
"learning_rate": 0.0002,
|
122 |
+
"loss": 2.0458,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.41,
|
127 |
+
"learning_rate": 0.0002,
|
128 |
+
"loss": 1.9205,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.43,
|
133 |
+
"learning_rate": 0.0002,
|
134 |
+
"loss": 1.4595,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.45,
|
139 |
+
"learning_rate": 0.0002,
|
140 |
+
"loss": 1.4085,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.47,
|
145 |
+
"learning_rate": 0.0002,
|
146 |
+
"loss": 1.4964,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.49,
|
151 |
+
"learning_rate": 0.0002,
|
152 |
+
"loss": 1.8586,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.51,
|
157 |
+
"learning_rate": 0.0002,
|
158 |
+
"loss": 1.8511,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.53,
|
163 |
+
"learning_rate": 0.0002,
|
164 |
+
"loss": 1.3773,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.55,
|
169 |
+
"learning_rate": 0.0002,
|
170 |
+
"loss": 1.3869,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.57,
|
175 |
+
"learning_rate": 0.0002,
|
176 |
+
"loss": 1.6083,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.59,
|
181 |
+
"learning_rate": 0.0002,
|
182 |
+
"loss": 1.8549,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.61,
|
187 |
+
"learning_rate": 0.0002,
|
188 |
+
"loss": 1.8714,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.63,
|
193 |
+
"learning_rate": 0.0002,
|
194 |
+
"loss": 1.3614,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.65,
|
199 |
+
"learning_rate": 0.0002,
|
200 |
+
"loss": 1.4,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.67,
|
205 |
+
"learning_rate": 0.0002,
|
206 |
+
"loss": 1.5435,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.69,
|
211 |
+
"learning_rate": 0.0002,
|
212 |
+
"loss": 1.8155,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.71,
|
217 |
+
"learning_rate": 0.0002,
|
218 |
+
"loss": 1.9587,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.73,
|
223 |
+
"learning_rate": 0.0002,
|
224 |
+
"loss": 1.3705,
|
225 |
+
"step": 360
|
226 |
+
}
|
227 |
+
],
|
228 |
+
"logging_steps": 10,
|
229 |
+
"max_steps": 500,
|
230 |
+
"num_input_tokens_seen": 0,
|
231 |
+
"num_train_epochs": 2,
|
232 |
+
"save_steps": 20,
|
233 |
+
"total_flos": 1.757604963096576e+16,
|
234 |
+
"train_batch_size": 2,
|
235 |
+
"trial_name": null,
|
236 |
+
"trial_params": null
|
237 |
+
}
|