Model save
Browse files- all_results.json +6 -6
- pytorch_model.bin +1 -1
- runs/May30_19-41-36_6edc4ca7637b/events.out.tfevents.1717098099.6edc4ca7637b.752.2 +3 -0
- runs/May30_19-42-37_6edc4ca7637b/events.out.tfevents.1717098159.6edc4ca7637b.752.3 +3 -0
- train_results.json +6 -6
- trainer_state.json +344 -134
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
"eval_accuracy": 0.8987341772151899,
|
4 |
"eval_loss": 0.3074355721473694,
|
5 |
"eval_runtime": 3.6489,
|
6 |
"eval_samples_per_second": 64.952,
|
7 |
"eval_steps_per_second": 8.222,
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 50.0,
|
3 |
"eval_accuracy": 0.8987341772151899,
|
4 |
"eval_loss": 0.3074355721473694,
|
5 |
"eval_runtime": 3.6489,
|
6 |
"eval_samples_per_second": 64.952,
|
7 |
"eval_steps_per_second": 8.222,
|
8 |
+
"total_flos": 4.88978836991447e+18,
|
9 |
+
"train_loss": 0.33084768676757814,
|
10 |
+
"train_runtime": 1516.8774,
|
11 |
+
"train_samples_per_second": 41.599,
|
12 |
+
"train_steps_per_second": 1.318
|
13 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343272234
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:49998377d5c0f5f5af433d325d06530c50543db0a81e542466e2fdd5d946fce0
|
3 |
size 343272234
|
runs/May30_19-41-36_6edc4ca7637b/events.out.tfevents.1717098099.6edc4ca7637b.752.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a8ae1b392ddcaeefbfbfe5d1a337603fa939db4849ffd1e2ff246059ec424a01
|
3 |
+
size 4083
|
runs/May30_19-42-37_6edc4ca7637b/events.out.tfevents.1717098159.6edc4ca7637b.752.3
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:438c73e40fddfc4c6fb04a853102d8c6e075dad6eae1eb6075fc1b8b7273f4b7
|
3 |
+
size 9135
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 50.0,
|
3 |
+
"total_flos": 4.88978836991447e+18,
|
4 |
+
"train_loss": 0.33084768676757814,
|
5 |
+
"train_runtime": 1516.8774,
|
6 |
+
"train_samples_per_second": 41.599,
|
7 |
+
"train_steps_per_second": 1.318
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,153 +1,363 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint":
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
-
"epoch":
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_loss": 0.
|
14 |
-
"step":
|
15 |
-
"train_accuracy": 0.
|
16 |
-
"train_loss": 0.
|
17 |
},
|
18 |
{
|
19 |
-
"epoch":
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"step":
|
23 |
-
"train_accuracy": 0.
|
24 |
-
"train_loss": 0.
|
25 |
},
|
26 |
{
|
27 |
-
"epoch": 0
|
28 |
-
"eval_accuracy": 0.
|
29 |
-
"eval_loss": 0.
|
30 |
-
"step":
|
31 |
-
"train_accuracy": 0.
|
32 |
-
"train_loss": 0.
|
33 |
},
|
34 |
{
|
35 |
-
"epoch": 0
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"step":
|
39 |
-
"train_accuracy": 0.
|
40 |
-
"train_loss": 0.
|
41 |
},
|
42 |
{
|
43 |
-
"epoch":
|
44 |
-
"eval_accuracy": 0.
|
45 |
-
"eval_loss": 0.
|
46 |
-
"step":
|
47 |
-
"train_accuracy": 0.
|
48 |
-
"train_loss": 0.
|
49 |
-
},
|
50 |
-
{
|
51 |
-
"epoch":
|
52 |
-
"eval_accuracy": 0.
|
53 |
-
"eval_loss": 0.
|
54 |
-
"step":
|
55 |
-
"train_accuracy": 0.
|
56 |
-
"train_loss": 0.
|
57 |
-
},
|
58 |
-
{
|
59 |
-
"epoch":
|
60 |
-
"eval_accuracy": 0.
|
61 |
-
"eval_loss": 0.
|
62 |
-
"step":
|
63 |
-
"train_accuracy": 0.
|
64 |
-
"train_loss": 0.
|
65 |
-
},
|
66 |
-
{
|
67 |
-
"epoch":
|
68 |
-
"eval_accuracy": 0.
|
69 |
-
"eval_loss": 0.
|
70 |
-
"step":
|
71 |
-
"train_accuracy": 0.
|
72 |
-
"train_loss": 0.
|
73 |
-
},
|
74 |
-
{
|
75 |
-
"epoch":
|
76 |
-
"eval_accuracy": 0.
|
77 |
-
"eval_loss": 0.
|
78 |
-
"step":
|
79 |
-
"train_accuracy": 0.
|
80 |
-
"train_loss": 0.
|
81 |
-
},
|
82 |
-
{
|
83 |
-
"epoch":
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"step":
|
87 |
-
"train_accuracy": 0.
|
88 |
-
"train_loss": 0.
|
89 |
-
},
|
90 |
-
{
|
91 |
-
"epoch":
|
92 |
-
"eval_accuracy": 0.
|
93 |
-
"eval_loss": 0.
|
94 |
-
"step":
|
95 |
-
"train_accuracy": 0.
|
96 |
-
"train_loss": 0.
|
97 |
-
},
|
98 |
-
{
|
99 |
-
"epoch":
|
100 |
-
"eval_accuracy": 0.
|
101 |
-
"eval_loss": 0.
|
102 |
-
"step":
|
103 |
-
"train_accuracy": 0.
|
104 |
-
"train_loss": 0.
|
105 |
-
},
|
106 |
-
{
|
107 |
-
"epoch":
|
108 |
-
"eval_accuracy": 0.
|
109 |
-
"eval_loss": 0.
|
110 |
-
"step":
|
111 |
-
"train_accuracy": 0.
|
112 |
-
"train_loss": 0.
|
113 |
-
},
|
114 |
-
{
|
115 |
-
"epoch":
|
116 |
-
"eval_accuracy": 0.
|
117 |
-
"eval_loss": 0.
|
118 |
-
"step":
|
119 |
-
"train_accuracy": 0.
|
120 |
-
"train_loss": 0.
|
121 |
-
},
|
122 |
-
{
|
123 |
-
"epoch":
|
124 |
-
"eval_accuracy": 0.
|
125 |
-
"eval_loss": 0.
|
126 |
-
"step":
|
127 |
-
"train_accuracy": 0.
|
128 |
-
"train_loss": 0.
|
129 |
-
},
|
130 |
-
{
|
131 |
-
"epoch":
|
132 |
-
"eval_accuracy": 0.
|
133 |
-
"eval_loss": 0.
|
134 |
-
"step":
|
135 |
-
"train_accuracy": 0.
|
136 |
-
"train_loss": 0.
|
137 |
-
},
|
138 |
-
{
|
139 |
-
"epoch":
|
140 |
-
"
|
141 |
-
"
|
142 |
-
"
|
143 |
-
"
|
144 |
-
"
|
145 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
146 |
}
|
147 |
],
|
148 |
-
"max_steps":
|
149 |
-
"num_train_epochs":
|
150 |
-
"total_flos":
|
151 |
"trial_name": null,
|
152 |
"trial_params": null
|
153 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.21378879249095917,
|
3 |
+
"best_model_checkpoint": "finetuned-breast_cancer_images/checkpoint-1000",
|
4 |
+
"epoch": 50.0,
|
5 |
+
"global_step": 2000,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
+
"epoch": 2.5,
|
12 |
+
"eval_accuracy": 0.8924050632911392,
|
13 |
+
"eval_loss": 0.010495646656314028,
|
14 |
+
"step": 100,
|
15 |
+
"train_accuracy": 0.7979397781299524,
|
16 |
+
"train_loss": 0.015081295120734988
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 2.5,
|
20 |
+
"eval_accuracy": 0.8924050632911392,
|
21 |
+
"eval_loss": 0.010495646656314028,
|
22 |
+
"step": 100,
|
23 |
+
"train_accuracy": 0.7979397781299524,
|
24 |
+
"train_loss": 0.015081295120734988
|
25 |
},
|
26 |
{
|
27 |
+
"epoch": 5.0,
|
28 |
+
"eval_accuracy": 0.8481012658227848,
|
29 |
+
"eval_loss": 0.012960963847139214,
|
30 |
+
"step": 200,
|
31 |
+
"train_accuracy": 0.7852614896988906,
|
32 |
+
"train_loss": 0.015557340427453846
|
33 |
},
|
34 |
{
|
35 |
+
"epoch": 5.0,
|
36 |
+
"eval_accuracy": 0.8481012658227848,
|
37 |
+
"eval_loss": 0.012960963847139214,
|
38 |
+
"step": 200,
|
39 |
+
"train_accuracy": 0.7852614896988906,
|
40 |
+
"train_loss": 0.015557340427453846
|
41 |
},
|
42 |
{
|
43 |
+
"epoch": 7.5,
|
44 |
+
"eval_accuracy": 0.8892405063291139,
|
45 |
+
"eval_loss": 0.010276811881155907,
|
46 |
+
"step": 300,
|
47 |
+
"train_accuracy": 0.820919175911252,
|
48 |
+
"train_loss": 0.013669456005474277
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 7.5,
|
52 |
+
"eval_accuracy": 0.8892405063291139,
|
53 |
+
"eval_loss": 0.010276811881155907,
|
54 |
+
"step": 300,
|
55 |
+
"train_accuracy": 0.820919175911252,
|
56 |
+
"train_loss": 0.013669456005474277
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 10.0,
|
60 |
+
"eval_accuracy": 0.9050632911392406,
|
61 |
+
"eval_loss": 0.008862663909227034,
|
62 |
+
"step": 400,
|
63 |
+
"train_accuracy": 0.820919175911252,
|
64 |
+
"train_loss": 0.012985682336350817
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 10.0,
|
68 |
+
"eval_accuracy": 0.9050632911392406,
|
69 |
+
"eval_loss": 0.008862663909227034,
|
70 |
+
"step": 400,
|
71 |
+
"train_accuracy": 0.820919175911252,
|
72 |
+
"train_loss": 0.012985682336350817
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 12.5,
|
76 |
+
"eval_accuracy": 0.9050632911392406,
|
77 |
+
"eval_loss": 0.008780632840021502,
|
78 |
+
"step": 500,
|
79 |
+
"train_accuracy": 0.8549920760697306,
|
80 |
+
"train_loss": 0.011721825129728877
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 12.5,
|
84 |
+
"eval_accuracy": 0.9050632911392406,
|
85 |
+
"eval_loss": 0.008780632840021502,
|
86 |
+
"step": 500,
|
87 |
+
"train_accuracy": 0.8549920760697306,
|
88 |
+
"train_loss": 0.011721825129728877
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 15.0,
|
92 |
+
"eval_accuracy": 0.8955696202531646,
|
93 |
+
"eval_loss": 0.011701402384080465,
|
94 |
+
"step": 600,
|
95 |
+
"train_accuracy": 0.8359746434231379,
|
96 |
+
"train_loss": 0.012715691998719036
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 15.0,
|
100 |
+
"eval_accuracy": 0.8955696202531646,
|
101 |
+
"eval_loss": 0.011701402384080465,
|
102 |
+
"step": 600,
|
103 |
+
"train_accuracy": 0.8359746434231379,
|
104 |
+
"train_loss": 0.012715691998719036
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 17.5,
|
108 |
+
"eval_accuracy": 0.9240506329113924,
|
109 |
+
"eval_loss": 0.008154087051560607,
|
110 |
+
"step": 700,
|
111 |
+
"train_accuracy": 0.8692551505546752,
|
112 |
+
"train_loss": 0.009956101531224847
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 17.5,
|
116 |
+
"eval_accuracy": 0.9240506329113924,
|
117 |
+
"eval_loss": 0.008154087051560607,
|
118 |
+
"step": 700,
|
119 |
+
"train_accuracy": 0.8692551505546752,
|
120 |
+
"train_loss": 0.009956101531224847
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 20.0,
|
124 |
+
"eval_accuracy": 0.9367088607594937,
|
125 |
+
"eval_loss": 0.007326934451260899,
|
126 |
+
"step": 800,
|
127 |
+
"train_accuracy": 0.8692551505546752,
|
128 |
+
"train_loss": 0.010289413544530914
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 20.0,
|
132 |
+
"eval_accuracy": 0.9367088607594937,
|
133 |
+
"eval_loss": 0.007326934451260899,
|
134 |
+
"step": 800,
|
135 |
+
"train_accuracy": 0.8692551505546752,
|
136 |
+
"train_loss": 0.010289413544530914
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 22.5,
|
140 |
+
"eval_accuracy": 0.9208860759493671,
|
141 |
+
"eval_loss": 0.00792535276541227,
|
142 |
+
"step": 900,
|
143 |
+
"train_accuracy": 0.8518225039619651,
|
144 |
+
"train_loss": 0.010583898344810716
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 22.5,
|
148 |
+
"eval_accuracy": 0.9208860759493671,
|
149 |
+
"eval_loss": 0.00792535276541227,
|
150 |
+
"step": 900,
|
151 |
+
"train_accuracy": 0.8518225039619651,
|
152 |
+
"train_loss": 0.010583898344810716
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 25.0,
|
156 |
+
"eval_accuracy": 0.9367088607594937,
|
157 |
+
"eval_loss": 0.006696073515222797,
|
158 |
+
"step": 1000,
|
159 |
+
"train_accuracy": 0.8716323296354992,
|
160 |
+
"train_loss": 0.00945120326076559
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 25.0,
|
164 |
+
"eval_accuracy": 0.9367088607594937,
|
165 |
+
"eval_loss": 0.006696073515222797,
|
166 |
+
"step": 1000,
|
167 |
+
"train_accuracy": 0.8716323296354992,
|
168 |
+
"train_loss": 0.00945120326076559
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 25.0,
|
172 |
+
"eval_accuracy": 0.9367088607594937,
|
173 |
+
"eval_loss": 0.21378879249095917,
|
174 |
+
"eval_runtime": 3.47,
|
175 |
+
"eval_samples_per_second": 91.067,
|
176 |
+
"eval_steps_per_second": 2.882,
|
177 |
+
"step": 1000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 27.5,
|
181 |
+
"eval_accuracy": 0.9493670886075949,
|
182 |
+
"eval_loss": 0.006863981844928068,
|
183 |
+
"step": 1100,
|
184 |
+
"train_accuracy": 0.9049128367670365,
|
185 |
+
"train_loss": 0.008072348769087044
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 27.5,
|
189 |
+
"eval_accuracy": 0.9493670886075949,
|
190 |
+
"eval_loss": 0.006863981844928068,
|
191 |
+
"step": 1100,
|
192 |
+
"train_accuracy": 0.9049128367670365,
|
193 |
+
"train_loss": 0.008072348769087044
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 30.0,
|
197 |
+
"eval_accuracy": 0.9493670886075949,
|
198 |
+
"eval_loss": 0.007717294818898545,
|
199 |
+
"step": 1200,
|
200 |
+
"train_accuracy": 0.8763866877971473,
|
201 |
+
"train_loss": 0.008911726414779476
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 30.0,
|
205 |
+
"eval_accuracy": 0.9493670886075949,
|
206 |
+
"eval_loss": 0.007717294818898545,
|
207 |
+
"step": 1200,
|
208 |
+
"train_accuracy": 0.8763866877971473,
|
209 |
+
"train_loss": 0.008911726414779476
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 32.5,
|
213 |
+
"eval_accuracy": 0.9430379746835443,
|
214 |
+
"eval_loss": 0.007378749879477899,
|
215 |
+
"step": 1300,
|
216 |
+
"train_accuracy": 0.8985736925515055,
|
217 |
+
"train_loss": 0.007801188312459105
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 32.5,
|
221 |
+
"eval_accuracy": 0.9430379746835443,
|
222 |
+
"eval_loss": 0.007378749879477899,
|
223 |
+
"step": 1300,
|
224 |
+
"train_accuracy": 0.8985736925515055,
|
225 |
+
"train_loss": 0.007801188312459105
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 35.0,
|
229 |
+
"eval_accuracy": 0.9462025316455697,
|
230 |
+
"eval_loss": 0.008579130585104981,
|
231 |
+
"step": 1400,
|
232 |
+
"train_accuracy": 0.884310618066561,
|
233 |
+
"train_loss": 0.00868706993770486
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 35.0,
|
237 |
+
"eval_accuracy": 0.9462025316455697,
|
238 |
+
"eval_loss": 0.008579130585104981,
|
239 |
+
"step": 1400,
|
240 |
+
"train_accuracy": 0.884310618066561,
|
241 |
+
"train_loss": 0.00868706993770486
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 37.5,
|
245 |
+
"eval_accuracy": 0.9430379746835443,
|
246 |
+
"eval_loss": 0.008369221175207367,
|
247 |
+
"step": 1500,
|
248 |
+
"train_accuracy": 0.8882725832012678,
|
249 |
+
"train_loss": 0.007982963917514223
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 37.5,
|
253 |
+
"eval_accuracy": 0.9430379746835443,
|
254 |
+
"eval_loss": 0.008369221175207367,
|
255 |
+
"step": 1500,
|
256 |
+
"train_accuracy": 0.8882725832012678,
|
257 |
+
"train_loss": 0.007982963917514223
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 40.0,
|
261 |
+
"eval_accuracy": 0.9493670886075949,
|
262 |
+
"eval_loss": 0.007007662448560512,
|
263 |
+
"step": 1600,
|
264 |
+
"train_accuracy": 0.8874801901743264,
|
265 |
+
"train_loss": 0.00816094992230698
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 40.0,
|
269 |
+
"eval_accuracy": 0.9493670886075949,
|
270 |
+
"eval_loss": 0.007007662448560512,
|
271 |
+
"step": 1600,
|
272 |
+
"train_accuracy": 0.8874801901743264,
|
273 |
+
"train_loss": 0.00816094992230698
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 42.5,
|
277 |
+
"eval_accuracy": 0.939873417721519,
|
278 |
+
"eval_loss": 0.009104668280652052,
|
279 |
+
"step": 1700,
|
280 |
+
"train_accuracy": 0.893026941362916,
|
281 |
+
"train_loss": 0.0076013513251832095
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 42.5,
|
285 |
+
"eval_accuracy": 0.939873417721519,
|
286 |
+
"eval_loss": 0.009104668280652052,
|
287 |
+
"step": 1700,
|
288 |
+
"train_accuracy": 0.893026941362916,
|
289 |
+
"train_loss": 0.0076013513251832095
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 45.0,
|
293 |
+
"eval_accuracy": 0.9462025316455697,
|
294 |
+
"eval_loss": 0.009510103501143712,
|
295 |
+
"step": 1800,
|
296 |
+
"train_accuracy": 0.9009508716323297,
|
297 |
+
"train_loss": 0.007748251264286117
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 45.0,
|
301 |
+
"eval_accuracy": 0.9462025316455697,
|
302 |
+
"eval_loss": 0.009510103501143712,
|
303 |
+
"step": 1800,
|
304 |
+
"train_accuracy": 0.9009508716323297,
|
305 |
+
"train_loss": 0.007748251264286117
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 47.5,
|
309 |
+
"eval_accuracy": 0.9525316455696202,
|
310 |
+
"eval_loss": 0.008035543746067375,
|
311 |
+
"step": 1900,
|
312 |
+
"train_accuracy": 0.9136291600633915,
|
313 |
+
"train_loss": 0.006531332231314171
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 47.5,
|
317 |
+
"eval_accuracy": 0.9525316455696202,
|
318 |
+
"eval_loss": 0.008035543746067375,
|
319 |
+
"step": 1900,
|
320 |
+
"train_accuracy": 0.9136291600633915,
|
321 |
+
"train_loss": 0.006531332231314171
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 50.0,
|
325 |
+
"eval_accuracy": 0.9525316455696202,
|
326 |
+
"eval_loss": 0.007914679066006895,
|
327 |
+
"step": 2000,
|
328 |
+
"train_accuracy": 0.9263074484944532,
|
329 |
+
"train_loss": 0.006018087188174532
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 50.0,
|
333 |
+
"eval_accuracy": 0.9525316455696202,
|
334 |
+
"eval_loss": 0.007914679066006895,
|
335 |
+
"step": 2000,
|
336 |
+
"train_accuracy": 0.9263074484944532,
|
337 |
+
"train_loss": 0.006018087188174532
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 50.0,
|
341 |
+
"eval_accuracy": 0.9525316455696202,
|
342 |
+
"eval_loss": 0.2529405653476715,
|
343 |
+
"eval_runtime": 3.4414,
|
344 |
+
"eval_samples_per_second": 91.824,
|
345 |
+
"eval_steps_per_second": 2.906,
|
346 |
+
"step": 2000
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 50.0,
|
350 |
+
"step": 2000,
|
351 |
+
"total_flos": 4.88978836991447e+18,
|
352 |
+
"train_loss": 0.33084768676757814,
|
353 |
+
"train_runtime": 1516.8774,
|
354 |
+
"train_samples_per_second": 41.599,
|
355 |
+
"train_steps_per_second": 1.318
|
356 |
}
|
357 |
],
|
358 |
+
"max_steps": 2000,
|
359 |
+
"num_train_epochs": 50,
|
360 |
+
"total_flos": 4.88978836991447e+18,
|
361 |
"trial_name": null,
|
362 |
"trial_params": null
|
363 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4408
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae9fe06bfc25014d97d851b72c94a69c9588049a36c83c2c6dca94d3e6e63e51
|
3 |
size 4408
|