End of training
Browse files
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9622508792497069,
|
4 |
+
"eval_loss": 0.10576048493385315,
|
5 |
+
"eval_runtime": 59.4738,
|
6 |
+
"eval_samples_per_second": 71.712,
|
7 |
+
"eval_steps_per_second": 2.253,
|
8 |
+
"total_flos": 3.922659491677471e+19,
|
9 |
+
"train_loss": 0.4256939633687337,
|
10 |
+
"train_runtime": 8577.8057,
|
11 |
+
"train_samples_per_second": 44.749,
|
12 |
+
"train_steps_per_second": 0.35
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.9622508792497069,
|
4 |
+
"eval_loss": 0.10576048493385315,
|
5 |
+
"eval_runtime": 59.4738,
|
6 |
+
"eval_samples_per_second": 71.712,
|
7 |
+
"eval_steps_per_second": 2.253
|
8 |
+
}
|
runs/Dec17_08-25-57_f450d0e255e4/events.out.tfevents.1734432608.f450d0e255e4.1822.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6b319933f52ccb7793a95e67f3d032b2b9b253366c43410a0d3468c006302a0c
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 3.922659491677471e+19,
|
4 |
+
"train_loss": 0.4256939633687337,
|
5 |
+
"train_runtime": 8577.8057,
|
6 |
+
"train_samples_per_second": 44.749,
|
7 |
+
"train_steps_per_second": 0.35
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9622508792497069,
|
3 |
+
"best_model_checkpoint": "ky-finetuned-skindiseaseicthuawei32/checkpoint-3000",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"grad_norm": 135.11822509765625,
|
14 |
+
"learning_rate": 5e-05,
|
15 |
+
"loss": 1.3894,
|
16 |
+
"step": 300
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_accuracy": 0.8060961313012895,
|
21 |
+
"eval_loss": 0.6159797310829163,
|
22 |
+
"eval_runtime": 59.1496,
|
23 |
+
"eval_samples_per_second": 72.105,
|
24 |
+
"eval_steps_per_second": 2.265,
|
25 |
+
"step": 300
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 2.0,
|
29 |
+
"grad_norm": 114.53544616699219,
|
30 |
+
"learning_rate": 4.4444444444444447e-05,
|
31 |
+
"loss": 0.6543,
|
32 |
+
"step": 600
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 2.0,
|
36 |
+
"eval_accuracy": 0.8635404454865182,
|
37 |
+
"eval_loss": 0.43777740001678467,
|
38 |
+
"eval_runtime": 58.9516,
|
39 |
+
"eval_samples_per_second": 72.348,
|
40 |
+
"eval_steps_per_second": 2.273,
|
41 |
+
"step": 600
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 3.0,
|
45 |
+
"grad_norm": 72.00625610351562,
|
46 |
+
"learning_rate": 3.888888888888889e-05,
|
47 |
+
"loss": 0.471,
|
48 |
+
"step": 900
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 3.0,
|
52 |
+
"eval_accuracy": 0.9160609613130128,
|
53 |
+
"eval_loss": 0.2565539479255676,
|
54 |
+
"eval_runtime": 59.0158,
|
55 |
+
"eval_samples_per_second": 72.269,
|
56 |
+
"eval_steps_per_second": 2.271,
|
57 |
+
"step": 900
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.0,
|
61 |
+
"grad_norm": 76.05452728271484,
|
62 |
+
"learning_rate": 3.3333333333333335e-05,
|
63 |
+
"loss": 0.3853,
|
64 |
+
"step": 1200
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 4.0,
|
68 |
+
"eval_accuracy": 0.9134818288393904,
|
69 |
+
"eval_loss": 0.2498469352722168,
|
70 |
+
"eval_runtime": 59.1502,
|
71 |
+
"eval_samples_per_second": 72.105,
|
72 |
+
"eval_steps_per_second": 2.265,
|
73 |
+
"step": 1200
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 5.0,
|
77 |
+
"grad_norm": 110.07782745361328,
|
78 |
+
"learning_rate": 2.777777777777778e-05,
|
79 |
+
"loss": 0.3225,
|
80 |
+
"step": 1500
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 5.0,
|
84 |
+
"eval_accuracy": 0.9289566236811254,
|
85 |
+
"eval_loss": 0.21574878692626953,
|
86 |
+
"eval_runtime": 59.1951,
|
87 |
+
"eval_samples_per_second": 72.05,
|
88 |
+
"eval_steps_per_second": 2.264,
|
89 |
+
"step": 1500
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 6.0,
|
93 |
+
"grad_norm": 54.6344108581543,
|
94 |
+
"learning_rate": 2.2222222222222223e-05,
|
95 |
+
"loss": 0.2769,
|
96 |
+
"step": 1800
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 6.0,
|
100 |
+
"eval_accuracy": 0.9406799531066823,
|
101 |
+
"eval_loss": 0.1746564507484436,
|
102 |
+
"eval_runtime": 59.244,
|
103 |
+
"eval_samples_per_second": 71.99,
|
104 |
+
"eval_steps_per_second": 2.262,
|
105 |
+
"step": 1800
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 7.0,
|
109 |
+
"grad_norm": 49.57483673095703,
|
110 |
+
"learning_rate": 1.6666666666666667e-05,
|
111 |
+
"loss": 0.2364,
|
112 |
+
"step": 2100
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 7.0,
|
116 |
+
"eval_accuracy": 0.948651817116061,
|
117 |
+
"eval_loss": 0.15020643174648285,
|
118 |
+
"eval_runtime": 59.6495,
|
119 |
+
"eval_samples_per_second": 71.501,
|
120 |
+
"eval_steps_per_second": 2.246,
|
121 |
+
"step": 2100
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 8.0,
|
125 |
+
"grad_norm": 85.14453125,
|
126 |
+
"learning_rate": 1.1111111111111112e-05,
|
127 |
+
"loss": 0.2005,
|
128 |
+
"step": 2400
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 8.0,
|
132 |
+
"eval_accuracy": 0.9547479484173506,
|
133 |
+
"eval_loss": 0.12820766866207123,
|
134 |
+
"eval_runtime": 59.7687,
|
135 |
+
"eval_samples_per_second": 71.358,
|
136 |
+
"eval_steps_per_second": 2.242,
|
137 |
+
"step": 2400
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 9.0,
|
141 |
+
"grad_norm": 20.916675567626953,
|
142 |
+
"learning_rate": 5.555555555555556e-06,
|
143 |
+
"loss": 0.1737,
|
144 |
+
"step": 2700
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 9.0,
|
148 |
+
"eval_accuracy": 0.9596717467760844,
|
149 |
+
"eval_loss": 0.11289093643426895,
|
150 |
+
"eval_runtime": 59.3074,
|
151 |
+
"eval_samples_per_second": 71.913,
|
152 |
+
"eval_steps_per_second": 2.259,
|
153 |
+
"step": 2700
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 10.0,
|
157 |
+
"grad_norm": 45.390342712402344,
|
158 |
+
"learning_rate": 0.0,
|
159 |
+
"loss": 0.1468,
|
160 |
+
"step": 3000
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 10.0,
|
164 |
+
"eval_accuracy": 0.9622508792497069,
|
165 |
+
"eval_loss": 0.10576048493385315,
|
166 |
+
"eval_runtime": 59.8846,
|
167 |
+
"eval_samples_per_second": 71.22,
|
168 |
+
"eval_steps_per_second": 2.238,
|
169 |
+
"step": 3000
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 10.0,
|
173 |
+
"step": 3000,
|
174 |
+
"total_flos": 3.922659491677471e+19,
|
175 |
+
"train_loss": 0.4256939633687337,
|
176 |
+
"train_runtime": 8577.8057,
|
177 |
+
"train_samples_per_second": 44.749,
|
178 |
+
"train_steps_per_second": 0.35
|
179 |
+
}
|
180 |
+
],
|
181 |
+
"logging_steps": 10,
|
182 |
+
"max_steps": 3000,
|
183 |
+
"num_input_tokens_seen": 0,
|
184 |
+
"num_train_epochs": 10,
|
185 |
+
"save_steps": 500,
|
186 |
+
"stateful_callbacks": {
|
187 |
+
"TrainerControl": {
|
188 |
+
"args": {
|
189 |
+
"should_epoch_stop": false,
|
190 |
+
"should_evaluate": false,
|
191 |
+
"should_log": false,
|
192 |
+
"should_save": true,
|
193 |
+
"should_training_stop": true
|
194 |
+
},
|
195 |
+
"attributes": {}
|
196 |
+
}
|
197 |
+
},
|
198 |
+
"total_flos": 3.922659491677471e+19,
|
199 |
+
"train_batch_size": 32,
|
200 |
+
"trial_name": null,
|
201 |
+
"trial_params": null
|
202 |
+
}
|