krishna-exe
commited on
Commit
•
f543c2b
1
Parent(s):
466bc7b
Training in progress, epoch 0
Browse files- all_results.json +9 -4
- eval_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +40 -40
all_results.json
CHANGED
@@ -1,8 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
|
|
|
|
|
|
|
|
|
|
3 |
"total_flos": 3.1727957353537536e+17,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
3 |
+
"eval_accuracy": 0.9616724738675958,
|
4 |
+
"eval_loss": 0.11273417621850967,
|
5 |
+
"eval_runtime": 2.4706,
|
6 |
+
"eval_samples_per_second": 116.166,
|
7 |
+
"eval_steps_per_second": 7.286,
|
8 |
"total_flos": 3.1727957353537536e+17,
|
9 |
+
"train_loss": 0.13397518873214723,
|
10 |
+
"train_runtime": 259.5354,
|
11 |
+
"train_samples_per_second": 49.762,
|
12 |
+
"train_steps_per_second": 0.771
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime": 2.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second": 7.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
3 |
+
"eval_accuracy": 0.9616724738675958,
|
4 |
+
"eval_loss": 0.11273417621850967,
|
5 |
+
"eval_runtime": 2.4706,
|
6 |
+
"eval_samples_per_second": 116.166,
|
7 |
+
"eval_steps_per_second": 7.286
|
8 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 110348984
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b0fc9da5c679d835c5b5188985e89e842b3b07dc57b274b60b5adc196921ba94
|
3 |
size 110348984
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
3 |
"total_flos": 3.1727957353537536e+17,
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 4.938271604938271,
|
3 |
"total_flos": 3.1727957353537536e+17,
|
4 |
+
"train_loss": 0.13397518873214723,
|
5 |
+
"train_runtime": 259.5354,
|
6 |
+
"train_samples_per_second": 49.762,
|
7 |
+
"train_steps_per_second": 0.771
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
"best_model_checkpoint": "brain-tumor-classification/checkpoint-200",
|
4 |
"epoch": 4.938271604938271,
|
5 |
"eval_steps": 500,
|
@@ -10,92 +10,92 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.9876543209876543,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 4.4444444444444447e-05,
|
15 |
-
"loss": 0.
|
16 |
"step": 40
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.9876543209876543,
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime":
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second":
|
25 |
"step": 40
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
-
"grad_norm":
|
30 |
"learning_rate": 3.3055555555555553e-05,
|
31 |
-
"loss": 0.
|
32 |
"step": 81
|
33 |
},
|
34 |
{
|
35 |
"epoch": 2.0,
|
36 |
-
"eval_accuracy": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime": 2.
|
39 |
-
"eval_samples_per_second": 119.
|
40 |
-
"eval_steps_per_second": 7.
|
41 |
"step": 81
|
42 |
},
|
43 |
{
|
44 |
"epoch": 2.9876543209876543,
|
45 |
-
"grad_norm":
|
46 |
"learning_rate": 2.1944444444444445e-05,
|
47 |
-
"loss": 0.
|
48 |
"step": 121
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.9876543209876543,
|
52 |
-
"eval_accuracy": 0.
|
53 |
-
"eval_loss": 0.
|
54 |
-
"eval_runtime": 2.
|
55 |
-
"eval_samples_per_second": 120.
|
56 |
-
"eval_steps_per_second": 7.
|
57 |
"step": 121
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.0,
|
61 |
-
"grad_norm":
|
62 |
"learning_rate": 1.0555555555555555e-05,
|
63 |
-
"loss": 0.
|
64 |
"step": 162
|
65 |
},
|
66 |
{
|
67 |
"epoch": 4.0,
|
68 |
-
"eval_accuracy": 0.
|
69 |
-
"eval_loss": 0.
|
70 |
-
"eval_runtime": 2.
|
71 |
-
"eval_samples_per_second":
|
72 |
-
"eval_steps_per_second":
|
73 |
"step": 162
|
74 |
},
|
75 |
{
|
76 |
"epoch": 4.938271604938271,
|
77 |
-
"grad_norm": 7.
|
78 |
"learning_rate": 0.0,
|
79 |
-
"loss": 0.
|
80 |
"step": 200
|
81 |
},
|
82 |
{
|
83 |
"epoch": 4.938271604938271,
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_loss": 0.
|
86 |
-
"eval_runtime": 2.
|
87 |
-
"eval_samples_per_second":
|
88 |
-
"eval_steps_per_second": 6.
|
89 |
"step": 200
|
90 |
},
|
91 |
{
|
92 |
"epoch": 4.938271604938271,
|
93 |
"step": 200,
|
94 |
"total_flos": 3.1727957353537536e+17,
|
95 |
-
"train_loss": 0.
|
96 |
-
"train_runtime":
|
97 |
-
"train_samples_per_second":
|
98 |
-
"train_steps_per_second": 0.
|
99 |
}
|
100 |
],
|
101 |
"logging_steps": 10,
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9616724738675958,
|
3 |
"best_model_checkpoint": "brain-tumor-classification/checkpoint-200",
|
4 |
"epoch": 4.938271604938271,
|
5 |
"eval_steps": 500,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.9876543209876543,
|
13 |
+
"grad_norm": 10.068439483642578,
|
14 |
"learning_rate": 4.4444444444444447e-05,
|
15 |
+
"loss": 0.1888,
|
16 |
"step": 40
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.9876543209876543,
|
20 |
+
"eval_accuracy": 0.9442508710801394,
|
21 |
+
"eval_loss": 0.15003159642219543,
|
22 |
+
"eval_runtime": 3.4689,
|
23 |
+
"eval_samples_per_second": 82.736,
|
24 |
+
"eval_steps_per_second": 5.189,
|
25 |
"step": 40
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
+
"grad_norm": 9.355758666992188,
|
30 |
"learning_rate": 3.3055555555555553e-05,
|
31 |
+
"loss": 0.1514,
|
32 |
"step": 81
|
33 |
},
|
34 |
{
|
35 |
"epoch": 2.0,
|
36 |
+
"eval_accuracy": 0.9581881533101045,
|
37 |
+
"eval_loss": 0.12207956612110138,
|
38 |
+
"eval_runtime": 2.4115,
|
39 |
+
"eval_samples_per_second": 119.012,
|
40 |
+
"eval_steps_per_second": 7.464,
|
41 |
"step": 81
|
42 |
},
|
43 |
{
|
44 |
"epoch": 2.9876543209876543,
|
45 |
+
"grad_norm": 11.253016471862793,
|
46 |
"learning_rate": 2.1944444444444445e-05,
|
47 |
+
"loss": 0.1189,
|
48 |
"step": 121
|
49 |
},
|
50 |
{
|
51 |
"epoch": 2.9876543209876543,
|
52 |
+
"eval_accuracy": 0.9442508710801394,
|
53 |
+
"eval_loss": 0.16469331085681915,
|
54 |
+
"eval_runtime": 2.3749,
|
55 |
+
"eval_samples_per_second": 120.849,
|
56 |
+
"eval_steps_per_second": 7.579,
|
57 |
"step": 121
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.0,
|
61 |
+
"grad_norm": 10.731207847595215,
|
62 |
"learning_rate": 1.0555555555555555e-05,
|
63 |
+
"loss": 0.1042,
|
64 |
"step": 162
|
65 |
},
|
66 |
{
|
67 |
"epoch": 4.0,
|
68 |
+
"eval_accuracy": 0.9581881533101045,
|
69 |
+
"eval_loss": 0.12243915349245071,
|
70 |
+
"eval_runtime": 2.571,
|
71 |
+
"eval_samples_per_second": 111.632,
|
72 |
+
"eval_steps_per_second": 7.001,
|
73 |
"step": 162
|
74 |
},
|
75 |
{
|
76 |
"epoch": 4.938271604938271,
|
77 |
+
"grad_norm": 7.372400283813477,
|
78 |
"learning_rate": 0.0,
|
79 |
+
"loss": 0.1055,
|
80 |
"step": 200
|
81 |
},
|
82 |
{
|
83 |
"epoch": 4.938271604938271,
|
84 |
+
"eval_accuracy": 0.9616724738675958,
|
85 |
+
"eval_loss": 0.11273417621850967,
|
86 |
+
"eval_runtime": 2.687,
|
87 |
+
"eval_samples_per_second": 106.809,
|
88 |
+
"eval_steps_per_second": 6.699,
|
89 |
"step": 200
|
90 |
},
|
91 |
{
|
92 |
"epoch": 4.938271604938271,
|
93 |
"step": 200,
|
94 |
"total_flos": 3.1727957353537536e+17,
|
95 |
+
"train_loss": 0.13397518873214723,
|
96 |
+
"train_runtime": 259.5354,
|
97 |
+
"train_samples_per_second": 49.762,
|
98 |
+
"train_steps_per_second": 0.771
|
99 |
}
|
100 |
],
|
101 |
"logging_steps": 10,
|