BilalMuftuoglu
commited on
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May21_21-38-00_804716d6a90a/events.out.tfevents.1716329158.804716d6a90a.958.9 +3 -0
- train_results.json +8 -0
- trainer_state.json +1035 -0
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.8227848101265823
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.6452
|
36 |
+
- Accuracy: 0.8228
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 85.71428571428571,
|
3 |
+
"eval_accuracy": 0.8227848101265823,
|
4 |
+
"eval_loss": 0.645160436630249,
|
5 |
+
"eval_runtime": 1.1931,
|
6 |
+
"eval_samples_per_second": 66.215,
|
7 |
+
"eval_steps_per_second": 2.514,
|
8 |
+
"total_flos": 2.9362240500074496e+18,
|
9 |
+
"train_loss": 0.23499208807945252,
|
10 |
+
"train_runtime": 1665.1689,
|
11 |
+
"train_samples_per_second": 26.544,
|
12 |
+
"train_steps_per_second": 0.18
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 85.71428571428571,
|
3 |
+
"eval_accuracy": 0.8227848101265823,
|
4 |
+
"eval_loss": 0.645160436630249,
|
5 |
+
"eval_runtime": 1.1931,
|
6 |
+
"eval_samples_per_second": 66.215,
|
7 |
+
"eval_steps_per_second": 2.514
|
8 |
+
}
|
runs/May21_21-38-00_804716d6a90a/events.out.tfevents.1716329158.804716d6a90a.958.9
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7a36228bd510b1c3916951fdd6dfe866084dc63bbc111a2359701d490fa1cee9
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 85.71428571428571,
|
3 |
+
"total_flos": 2.9362240500074496e+18,
|
4 |
+
"train_loss": 0.23499208807945252,
|
5 |
+
"train_runtime": 1665.1689,
|
6 |
+
"train_samples_per_second": 26.544,
|
7 |
+
"train_steps_per_second": 0.18
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1035 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8227848101265823,
|
3 |
+
"best_model_checkpoint": "deit-base-distilled-patch16-224-55-fold5/checkpoint-150",
|
4 |
+
"epoch": 85.71428571428571,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 300,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.8571428571428571,
|
13 |
+
"eval_accuracy": 0.5189873417721519,
|
14 |
+
"eval_loss": 0.7318889498710632,
|
15 |
+
"eval_runtime": 1.1213,
|
16 |
+
"eval_samples_per_second": 70.455,
|
17 |
+
"eval_steps_per_second": 2.676,
|
18 |
+
"step": 3
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 2.0,
|
22 |
+
"eval_accuracy": 0.569620253164557,
|
23 |
+
"eval_loss": 0.675592303276062,
|
24 |
+
"eval_runtime": 1.1562,
|
25 |
+
"eval_samples_per_second": 68.326,
|
26 |
+
"eval_steps_per_second": 2.595,
|
27 |
+
"step": 7
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.857142857142857,
|
31 |
+
"grad_norm": 1.9025880098342896,
|
32 |
+
"learning_rate": 1.6666666666666667e-05,
|
33 |
+
"loss": 0.6544,
|
34 |
+
"step": 10
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.857142857142857,
|
38 |
+
"eval_accuracy": 0.6455696202531646,
|
39 |
+
"eval_loss": 0.619909405708313,
|
40 |
+
"eval_runtime": 1.2043,
|
41 |
+
"eval_samples_per_second": 65.598,
|
42 |
+
"eval_steps_per_second": 2.491,
|
43 |
+
"step": 10
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 4.0,
|
47 |
+
"eval_accuracy": 0.620253164556962,
|
48 |
+
"eval_loss": 0.5987372994422913,
|
49 |
+
"eval_runtime": 1.1134,
|
50 |
+
"eval_samples_per_second": 70.952,
|
51 |
+
"eval_steps_per_second": 2.694,
|
52 |
+
"step": 14
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 4.857142857142857,
|
56 |
+
"eval_accuracy": 0.6708860759493671,
|
57 |
+
"eval_loss": 0.5676239728927612,
|
58 |
+
"eval_runtime": 1.1193,
|
59 |
+
"eval_samples_per_second": 70.581,
|
60 |
+
"eval_steps_per_second": 2.68,
|
61 |
+
"step": 17
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 5.714285714285714,
|
65 |
+
"grad_norm": 2.5250775814056396,
|
66 |
+
"learning_rate": 3.3333333333333335e-05,
|
67 |
+
"loss": 0.6173,
|
68 |
+
"step": 20
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 6.0,
|
72 |
+
"eval_accuracy": 0.5822784810126582,
|
73 |
+
"eval_loss": 0.6542880535125732,
|
74 |
+
"eval_runtime": 1.1319,
|
75 |
+
"eval_samples_per_second": 69.791,
|
76 |
+
"eval_steps_per_second": 2.65,
|
77 |
+
"step": 21
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 6.857142857142857,
|
81 |
+
"eval_accuracy": 0.7341772151898734,
|
82 |
+
"eval_loss": 0.5309708118438721,
|
83 |
+
"eval_runtime": 1.1635,
|
84 |
+
"eval_samples_per_second": 67.9,
|
85 |
+
"eval_steps_per_second": 2.578,
|
86 |
+
"step": 24
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 8.0,
|
90 |
+
"eval_accuracy": 0.6075949367088608,
|
91 |
+
"eval_loss": 0.6724244356155396,
|
92 |
+
"eval_runtime": 1.1519,
|
93 |
+
"eval_samples_per_second": 68.58,
|
94 |
+
"eval_steps_per_second": 2.604,
|
95 |
+
"step": 28
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 8.571428571428571,
|
99 |
+
"grad_norm": 3.0099055767059326,
|
100 |
+
"learning_rate": 5e-05,
|
101 |
+
"loss": 0.5245,
|
102 |
+
"step": 30
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 8.857142857142858,
|
106 |
+
"eval_accuracy": 0.6582278481012658,
|
107 |
+
"eval_loss": 0.6443866491317749,
|
108 |
+
"eval_runtime": 1.1308,
|
109 |
+
"eval_samples_per_second": 69.861,
|
110 |
+
"eval_steps_per_second": 2.653,
|
111 |
+
"step": 31
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 10.0,
|
115 |
+
"eval_accuracy": 0.7341772151898734,
|
116 |
+
"eval_loss": 0.5026643872261047,
|
117 |
+
"eval_runtime": 1.1348,
|
118 |
+
"eval_samples_per_second": 69.614,
|
119 |
+
"eval_steps_per_second": 2.644,
|
120 |
+
"step": 35
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 10.857142857142858,
|
124 |
+
"eval_accuracy": 0.6582278481012658,
|
125 |
+
"eval_loss": 0.6327927708625793,
|
126 |
+
"eval_runtime": 1.1376,
|
127 |
+
"eval_samples_per_second": 69.443,
|
128 |
+
"eval_steps_per_second": 2.637,
|
129 |
+
"step": 38
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 11.428571428571429,
|
133 |
+
"grad_norm": 3.429919719696045,
|
134 |
+
"learning_rate": 4.814814814814815e-05,
|
135 |
+
"loss": 0.4554,
|
136 |
+
"step": 40
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 12.0,
|
140 |
+
"eval_accuracy": 0.759493670886076,
|
141 |
+
"eval_loss": 0.48831707239151,
|
142 |
+
"eval_runtime": 1.1619,
|
143 |
+
"eval_samples_per_second": 67.99,
|
144 |
+
"eval_steps_per_second": 2.582,
|
145 |
+
"step": 42
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 12.857142857142858,
|
149 |
+
"eval_accuracy": 0.6582278481012658,
|
150 |
+
"eval_loss": 0.6736446619033813,
|
151 |
+
"eval_runtime": 1.1393,
|
152 |
+
"eval_samples_per_second": 69.338,
|
153 |
+
"eval_steps_per_second": 2.633,
|
154 |
+
"step": 45
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 14.0,
|
158 |
+
"eval_accuracy": 0.7341772151898734,
|
159 |
+
"eval_loss": 0.4583931863307953,
|
160 |
+
"eval_runtime": 1.1376,
|
161 |
+
"eval_samples_per_second": 69.444,
|
162 |
+
"eval_steps_per_second": 2.637,
|
163 |
+
"step": 49
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 14.285714285714286,
|
167 |
+
"grad_norm": 3.318418264389038,
|
168 |
+
"learning_rate": 4.62962962962963e-05,
|
169 |
+
"loss": 0.4575,
|
170 |
+
"step": 50
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 14.857142857142858,
|
174 |
+
"eval_accuracy": 0.6455696202531646,
|
175 |
+
"eval_loss": 0.8099328875541687,
|
176 |
+
"eval_runtime": 1.1512,
|
177 |
+
"eval_samples_per_second": 68.622,
|
178 |
+
"eval_steps_per_second": 2.606,
|
179 |
+
"step": 52
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 16.0,
|
183 |
+
"eval_accuracy": 0.7468354430379747,
|
184 |
+
"eval_loss": 0.47672876715660095,
|
185 |
+
"eval_runtime": 1.1261,
|
186 |
+
"eval_samples_per_second": 70.154,
|
187 |
+
"eval_steps_per_second": 2.664,
|
188 |
+
"step": 56
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 16.857142857142858,
|
192 |
+
"eval_accuracy": 0.6835443037974683,
|
193 |
+
"eval_loss": 0.6058729290962219,
|
194 |
+
"eval_runtime": 1.1442,
|
195 |
+
"eval_samples_per_second": 69.041,
|
196 |
+
"eval_steps_per_second": 2.622,
|
197 |
+
"step": 59
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 17.142857142857142,
|
201 |
+
"grad_norm": 4.997932434082031,
|
202 |
+
"learning_rate": 4.4444444444444447e-05,
|
203 |
+
"loss": 0.3798,
|
204 |
+
"step": 60
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 18.0,
|
208 |
+
"eval_accuracy": 0.759493670886076,
|
209 |
+
"eval_loss": 0.4863268733024597,
|
210 |
+
"eval_runtime": 1.1309,
|
211 |
+
"eval_samples_per_second": 69.854,
|
212 |
+
"eval_steps_per_second": 2.653,
|
213 |
+
"step": 63
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 18.857142857142858,
|
217 |
+
"eval_accuracy": 0.7468354430379747,
|
218 |
+
"eval_loss": 0.5635764598846436,
|
219 |
+
"eval_runtime": 1.1455,
|
220 |
+
"eval_samples_per_second": 68.967,
|
221 |
+
"eval_steps_per_second": 2.619,
|
222 |
+
"step": 66
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 20.0,
|
226 |
+
"grad_norm": 3.959798574447632,
|
227 |
+
"learning_rate": 4.259259259259259e-05,
|
228 |
+
"loss": 0.3419,
|
229 |
+
"step": 70
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 20.0,
|
233 |
+
"eval_accuracy": 0.7341772151898734,
|
234 |
+
"eval_loss": 0.4677181839942932,
|
235 |
+
"eval_runtime": 1.1321,
|
236 |
+
"eval_samples_per_second": 69.782,
|
237 |
+
"eval_steps_per_second": 2.65,
|
238 |
+
"step": 70
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 20.857142857142858,
|
242 |
+
"eval_accuracy": 0.7088607594936709,
|
243 |
+
"eval_loss": 0.4883308410644531,
|
244 |
+
"eval_runtime": 1.1375,
|
245 |
+
"eval_samples_per_second": 69.453,
|
246 |
+
"eval_steps_per_second": 2.637,
|
247 |
+
"step": 73
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 22.0,
|
251 |
+
"eval_accuracy": 0.7215189873417721,
|
252 |
+
"eval_loss": 0.5549487471580505,
|
253 |
+
"eval_runtime": 1.1347,
|
254 |
+
"eval_samples_per_second": 69.623,
|
255 |
+
"eval_steps_per_second": 2.644,
|
256 |
+
"step": 77
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 22.857142857142858,
|
260 |
+
"grad_norm": 6.16960334777832,
|
261 |
+
"learning_rate": 4.074074074074074e-05,
|
262 |
+
"loss": 0.3079,
|
263 |
+
"step": 80
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 22.857142857142858,
|
267 |
+
"eval_accuracy": 0.7848101265822784,
|
268 |
+
"eval_loss": 0.4324057400226593,
|
269 |
+
"eval_runtime": 1.1312,
|
270 |
+
"eval_samples_per_second": 69.84,
|
271 |
+
"eval_steps_per_second": 2.652,
|
272 |
+
"step": 80
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 24.0,
|
276 |
+
"eval_accuracy": 0.6708860759493671,
|
277 |
+
"eval_loss": 0.6183649897575378,
|
278 |
+
"eval_runtime": 1.1713,
|
279 |
+
"eval_samples_per_second": 67.446,
|
280 |
+
"eval_steps_per_second": 2.561,
|
281 |
+
"step": 84
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 24.857142857142858,
|
285 |
+
"eval_accuracy": 0.7088607594936709,
|
286 |
+
"eval_loss": 0.6148533821105957,
|
287 |
+
"eval_runtime": 1.147,
|
288 |
+
"eval_samples_per_second": 68.878,
|
289 |
+
"eval_steps_per_second": 2.616,
|
290 |
+
"step": 87
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 25.714285714285715,
|
294 |
+
"grad_norm": 3.098267078399658,
|
295 |
+
"learning_rate": 3.888888888888889e-05,
|
296 |
+
"loss": 0.2616,
|
297 |
+
"step": 90
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 26.0,
|
301 |
+
"eval_accuracy": 0.7848101265822784,
|
302 |
+
"eval_loss": 0.44876629114151,
|
303 |
+
"eval_runtime": 1.1303,
|
304 |
+
"eval_samples_per_second": 69.895,
|
305 |
+
"eval_steps_per_second": 2.654,
|
306 |
+
"step": 91
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 26.857142857142858,
|
310 |
+
"eval_accuracy": 0.7721518987341772,
|
311 |
+
"eval_loss": 0.43682238459587097,
|
312 |
+
"eval_runtime": 1.1557,
|
313 |
+
"eval_samples_per_second": 68.354,
|
314 |
+
"eval_steps_per_second": 2.596,
|
315 |
+
"step": 94
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 28.0,
|
319 |
+
"eval_accuracy": 0.7721518987341772,
|
320 |
+
"eval_loss": 0.45659732818603516,
|
321 |
+
"eval_runtime": 1.1429,
|
322 |
+
"eval_samples_per_second": 69.124,
|
323 |
+
"eval_steps_per_second": 2.625,
|
324 |
+
"step": 98
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 28.571428571428573,
|
328 |
+
"grad_norm": 4.5599517822265625,
|
329 |
+
"learning_rate": 3.7037037037037037e-05,
|
330 |
+
"loss": 0.2157,
|
331 |
+
"step": 100
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 28.857142857142858,
|
335 |
+
"eval_accuracy": 0.7848101265822784,
|
336 |
+
"eval_loss": 0.4657270312309265,
|
337 |
+
"eval_runtime": 1.1397,
|
338 |
+
"eval_samples_per_second": 69.319,
|
339 |
+
"eval_steps_per_second": 2.632,
|
340 |
+
"step": 101
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 30.0,
|
344 |
+
"eval_accuracy": 0.7721518987341772,
|
345 |
+
"eval_loss": 0.4514474868774414,
|
346 |
+
"eval_runtime": 1.1483,
|
347 |
+
"eval_samples_per_second": 68.795,
|
348 |
+
"eval_steps_per_second": 2.612,
|
349 |
+
"step": 105
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 30.857142857142858,
|
353 |
+
"eval_accuracy": 0.7848101265822784,
|
354 |
+
"eval_loss": 0.5082857608795166,
|
355 |
+
"eval_runtime": 1.1218,
|
356 |
+
"eval_samples_per_second": 70.425,
|
357 |
+
"eval_steps_per_second": 2.674,
|
358 |
+
"step": 108
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 31.428571428571427,
|
362 |
+
"grad_norm": 2.26061749458313,
|
363 |
+
"learning_rate": 3.518518518518519e-05,
|
364 |
+
"loss": 0.2258,
|
365 |
+
"step": 110
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 32.0,
|
369 |
+
"eval_accuracy": 0.7848101265822784,
|
370 |
+
"eval_loss": 0.5260893106460571,
|
371 |
+
"eval_runtime": 1.1489,
|
372 |
+
"eval_samples_per_second": 68.759,
|
373 |
+
"eval_steps_per_second": 2.611,
|
374 |
+
"step": 112
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 32.857142857142854,
|
378 |
+
"eval_accuracy": 0.759493670886076,
|
379 |
+
"eval_loss": 0.556735634803772,
|
380 |
+
"eval_runtime": 1.1778,
|
381 |
+
"eval_samples_per_second": 67.076,
|
382 |
+
"eval_steps_per_second": 2.547,
|
383 |
+
"step": 115
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 34.0,
|
387 |
+
"eval_accuracy": 0.810126582278481,
|
388 |
+
"eval_loss": 0.5566364526748657,
|
389 |
+
"eval_runtime": 1.1382,
|
390 |
+
"eval_samples_per_second": 69.406,
|
391 |
+
"eval_steps_per_second": 2.636,
|
392 |
+
"step": 119
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 34.285714285714285,
|
396 |
+
"grad_norm": 2.7529988288879395,
|
397 |
+
"learning_rate": 3.3333333333333335e-05,
|
398 |
+
"loss": 0.1972,
|
399 |
+
"step": 120
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 34.857142857142854,
|
403 |
+
"eval_accuracy": 0.810126582278481,
|
404 |
+
"eval_loss": 0.5494687557220459,
|
405 |
+
"eval_runtime": 1.1486,
|
406 |
+
"eval_samples_per_second": 68.78,
|
407 |
+
"eval_steps_per_second": 2.612,
|
408 |
+
"step": 122
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 36.0,
|
412 |
+
"eval_accuracy": 0.7974683544303798,
|
413 |
+
"eval_loss": 0.49917009472846985,
|
414 |
+
"eval_runtime": 1.1413,
|
415 |
+
"eval_samples_per_second": 69.221,
|
416 |
+
"eval_steps_per_second": 2.629,
|
417 |
+
"step": 126
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 36.857142857142854,
|
421 |
+
"eval_accuracy": 0.759493670886076,
|
422 |
+
"eval_loss": 0.566094696521759,
|
423 |
+
"eval_runtime": 1.1393,
|
424 |
+
"eval_samples_per_second": 69.341,
|
425 |
+
"eval_steps_per_second": 2.633,
|
426 |
+
"step": 129
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 37.142857142857146,
|
430 |
+
"grad_norm": 3.6283090114593506,
|
431 |
+
"learning_rate": 3.148148148148148e-05,
|
432 |
+
"loss": 0.1709,
|
433 |
+
"step": 130
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 38.0,
|
437 |
+
"eval_accuracy": 0.7341772151898734,
|
438 |
+
"eval_loss": 0.7325516939163208,
|
439 |
+
"eval_runtime": 1.1565,
|
440 |
+
"eval_samples_per_second": 68.311,
|
441 |
+
"eval_steps_per_second": 2.594,
|
442 |
+
"step": 133
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 38.857142857142854,
|
446 |
+
"eval_accuracy": 0.810126582278481,
|
447 |
+
"eval_loss": 0.5634633898735046,
|
448 |
+
"eval_runtime": 1.1297,
|
449 |
+
"eval_samples_per_second": 69.93,
|
450 |
+
"eval_steps_per_second": 2.656,
|
451 |
+
"step": 136
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 40.0,
|
455 |
+
"grad_norm": 2.0195701122283936,
|
456 |
+
"learning_rate": 2.962962962962963e-05,
|
457 |
+
"loss": 0.1537,
|
458 |
+
"step": 140
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 40.0,
|
462 |
+
"eval_accuracy": 0.7468354430379747,
|
463 |
+
"eval_loss": 0.8130123019218445,
|
464 |
+
"eval_runtime": 1.1502,
|
465 |
+
"eval_samples_per_second": 68.685,
|
466 |
+
"eval_steps_per_second": 2.608,
|
467 |
+
"step": 140
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 40.857142857142854,
|
471 |
+
"eval_accuracy": 0.7848101265822784,
|
472 |
+
"eval_loss": 0.6983793377876282,
|
473 |
+
"eval_runtime": 1.1474,
|
474 |
+
"eval_samples_per_second": 68.849,
|
475 |
+
"eval_steps_per_second": 2.615,
|
476 |
+
"step": 143
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 42.0,
|
480 |
+
"eval_accuracy": 0.759493670886076,
|
481 |
+
"eval_loss": 0.7777484655380249,
|
482 |
+
"eval_runtime": 1.1447,
|
483 |
+
"eval_samples_per_second": 69.011,
|
484 |
+
"eval_steps_per_second": 2.621,
|
485 |
+
"step": 147
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 42.857142857142854,
|
489 |
+
"grad_norm": 3.92864727973938,
|
490 |
+
"learning_rate": 2.777777777777778e-05,
|
491 |
+
"loss": 0.1687,
|
492 |
+
"step": 150
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 42.857142857142854,
|
496 |
+
"eval_accuracy": 0.8227848101265823,
|
497 |
+
"eval_loss": 0.645160436630249,
|
498 |
+
"eval_runtime": 1.1266,
|
499 |
+
"eval_samples_per_second": 70.123,
|
500 |
+
"eval_steps_per_second": 2.663,
|
501 |
+
"step": 150
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 44.0,
|
505 |
+
"eval_accuracy": 0.7215189873417721,
|
506 |
+
"eval_loss": 0.8527082800865173,
|
507 |
+
"eval_runtime": 1.162,
|
508 |
+
"eval_samples_per_second": 67.988,
|
509 |
+
"eval_steps_per_second": 2.582,
|
510 |
+
"step": 154
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 44.857142857142854,
|
514 |
+
"eval_accuracy": 0.7974683544303798,
|
515 |
+
"eval_loss": 0.6483196020126343,
|
516 |
+
"eval_runtime": 1.1395,
|
517 |
+
"eval_samples_per_second": 69.329,
|
518 |
+
"eval_steps_per_second": 2.633,
|
519 |
+
"step": 157
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 45.714285714285715,
|
523 |
+
"grad_norm": 2.570295810699463,
|
524 |
+
"learning_rate": 2.5925925925925925e-05,
|
525 |
+
"loss": 0.1588,
|
526 |
+
"step": 160
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 46.0,
|
530 |
+
"eval_accuracy": 0.7341772151898734,
|
531 |
+
"eval_loss": 0.8185186982154846,
|
532 |
+
"eval_runtime": 1.1438,
|
533 |
+
"eval_samples_per_second": 69.068,
|
534 |
+
"eval_steps_per_second": 2.623,
|
535 |
+
"step": 161
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 46.857142857142854,
|
539 |
+
"eval_accuracy": 0.7721518987341772,
|
540 |
+
"eval_loss": 0.6821473836898804,
|
541 |
+
"eval_runtime": 1.174,
|
542 |
+
"eval_samples_per_second": 67.29,
|
543 |
+
"eval_steps_per_second": 2.555,
|
544 |
+
"step": 164
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 48.0,
|
548 |
+
"eval_accuracy": 0.7341772151898734,
|
549 |
+
"eval_loss": 0.7593724131584167,
|
550 |
+
"eval_runtime": 1.1514,
|
551 |
+
"eval_samples_per_second": 68.611,
|
552 |
+
"eval_steps_per_second": 2.605,
|
553 |
+
"step": 168
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 48.57142857142857,
|
557 |
+
"grad_norm": 2.7910444736480713,
|
558 |
+
"learning_rate": 2.4074074074074074e-05,
|
559 |
+
"loss": 0.144,
|
560 |
+
"step": 170
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 48.857142857142854,
|
564 |
+
"eval_accuracy": 0.759493670886076,
|
565 |
+
"eval_loss": 1.0232322216033936,
|
566 |
+
"eval_runtime": 1.1447,
|
567 |
+
"eval_samples_per_second": 69.012,
|
568 |
+
"eval_steps_per_second": 2.621,
|
569 |
+
"step": 171
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 50.0,
|
573 |
+
"eval_accuracy": 0.7848101265822784,
|
574 |
+
"eval_loss": 0.6178007125854492,
|
575 |
+
"eval_runtime": 1.1535,
|
576 |
+
"eval_samples_per_second": 68.485,
|
577 |
+
"eval_steps_per_second": 2.601,
|
578 |
+
"step": 175
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 50.857142857142854,
|
582 |
+
"eval_accuracy": 0.759493670886076,
|
583 |
+
"eval_loss": 0.6243430376052856,
|
584 |
+
"eval_runtime": 1.149,
|
585 |
+
"eval_samples_per_second": 68.756,
|
586 |
+
"eval_steps_per_second": 2.611,
|
587 |
+
"step": 178
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 51.42857142857143,
|
591 |
+
"grad_norm": 2.441843271255493,
|
592 |
+
"learning_rate": 2.2222222222222223e-05,
|
593 |
+
"loss": 0.1449,
|
594 |
+
"step": 180
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 52.0,
|
598 |
+
"eval_accuracy": 0.7341772151898734,
|
599 |
+
"eval_loss": 0.8159094452857971,
|
600 |
+
"eval_runtime": 1.1388,
|
601 |
+
"eval_samples_per_second": 69.372,
|
602 |
+
"eval_steps_per_second": 2.634,
|
603 |
+
"step": 182
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 52.857142857142854,
|
607 |
+
"eval_accuracy": 0.7721518987341772,
|
608 |
+
"eval_loss": 0.6664446592330933,
|
609 |
+
"eval_runtime": 1.1472,
|
610 |
+
"eval_samples_per_second": 68.865,
|
611 |
+
"eval_steps_per_second": 2.615,
|
612 |
+
"step": 185
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 54.0,
|
616 |
+
"eval_accuracy": 0.7341772151898734,
|
617 |
+
"eval_loss": 0.7069984078407288,
|
618 |
+
"eval_runtime": 1.1371,
|
619 |
+
"eval_samples_per_second": 69.475,
|
620 |
+
"eval_steps_per_second": 2.638,
|
621 |
+
"step": 189
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 54.285714285714285,
|
625 |
+
"grad_norm": 1.9345264434814453,
|
626 |
+
"learning_rate": 2.037037037037037e-05,
|
627 |
+
"loss": 0.144,
|
628 |
+
"step": 190
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 54.857142857142854,
|
632 |
+
"eval_accuracy": 0.7468354430379747,
|
633 |
+
"eval_loss": 0.7360506057739258,
|
634 |
+
"eval_runtime": 1.1264,
|
635 |
+
"eval_samples_per_second": 70.132,
|
636 |
+
"eval_steps_per_second": 2.663,
|
637 |
+
"step": 192
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 56.0,
|
641 |
+
"eval_accuracy": 0.759493670886076,
|
642 |
+
"eval_loss": 0.6655969023704529,
|
643 |
+
"eval_runtime": 1.1372,
|
644 |
+
"eval_samples_per_second": 69.471,
|
645 |
+
"eval_steps_per_second": 2.638,
|
646 |
+
"step": 196
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 56.857142857142854,
|
650 |
+
"eval_accuracy": 0.7468354430379747,
|
651 |
+
"eval_loss": 0.7487228512763977,
|
652 |
+
"eval_runtime": 1.158,
|
653 |
+
"eval_samples_per_second": 68.222,
|
654 |
+
"eval_steps_per_second": 2.591,
|
655 |
+
"step": 199
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 57.142857142857146,
|
659 |
+
"grad_norm": 2.869379758834839,
|
660 |
+
"learning_rate": 1.8518518518518518e-05,
|
661 |
+
"loss": 0.1199,
|
662 |
+
"step": 200
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 58.0,
|
666 |
+
"eval_accuracy": 0.7341772151898734,
|
667 |
+
"eval_loss": 0.7992926239967346,
|
668 |
+
"eval_runtime": 1.1371,
|
669 |
+
"eval_samples_per_second": 69.472,
|
670 |
+
"eval_steps_per_second": 2.638,
|
671 |
+
"step": 203
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 58.857142857142854,
|
675 |
+
"eval_accuracy": 0.7721518987341772,
|
676 |
+
"eval_loss": 0.7426438927650452,
|
677 |
+
"eval_runtime": 1.1515,
|
678 |
+
"eval_samples_per_second": 68.608,
|
679 |
+
"eval_steps_per_second": 2.605,
|
680 |
+
"step": 206
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 60.0,
|
684 |
+
"grad_norm": 3.277022123336792,
|
685 |
+
"learning_rate": 1.6666666666666667e-05,
|
686 |
+
"loss": 0.1258,
|
687 |
+
"step": 210
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 60.0,
|
691 |
+
"eval_accuracy": 0.7974683544303798,
|
692 |
+
"eval_loss": 0.7530637979507446,
|
693 |
+
"eval_runtime": 1.1459,
|
694 |
+
"eval_samples_per_second": 68.943,
|
695 |
+
"eval_steps_per_second": 2.618,
|
696 |
+
"step": 210
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 60.857142857142854,
|
700 |
+
"eval_accuracy": 0.7848101265822784,
|
701 |
+
"eval_loss": 0.7388187646865845,
|
702 |
+
"eval_runtime": 1.1538,
|
703 |
+
"eval_samples_per_second": 68.468,
|
704 |
+
"eval_steps_per_second": 2.6,
|
705 |
+
"step": 213
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 62.0,
|
709 |
+
"eval_accuracy": 0.7974683544303798,
|
710 |
+
"eval_loss": 0.7394750714302063,
|
711 |
+
"eval_runtime": 1.1338,
|
712 |
+
"eval_samples_per_second": 69.677,
|
713 |
+
"eval_steps_per_second": 2.646,
|
714 |
+
"step": 217
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 62.857142857142854,
|
718 |
+
"grad_norm": 2.4016706943511963,
|
719 |
+
"learning_rate": 1.4814814814814815e-05,
|
720 |
+
"loss": 0.1392,
|
721 |
+
"step": 220
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 62.857142857142854,
|
725 |
+
"eval_accuracy": 0.7468354430379747,
|
726 |
+
"eval_loss": 0.8237771391868591,
|
727 |
+
"eval_runtime": 1.1382,
|
728 |
+
"eval_samples_per_second": 69.41,
|
729 |
+
"eval_steps_per_second": 2.636,
|
730 |
+
"step": 220
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 64.0,
|
734 |
+
"eval_accuracy": 0.7215189873417721,
|
735 |
+
"eval_loss": 0.9302475452423096,
|
736 |
+
"eval_runtime": 1.1601,
|
737 |
+
"eval_samples_per_second": 68.098,
|
738 |
+
"eval_steps_per_second": 2.586,
|
739 |
+
"step": 224
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 64.85714285714286,
|
743 |
+
"eval_accuracy": 0.7721518987341772,
|
744 |
+
"eval_loss": 0.7539066076278687,
|
745 |
+
"eval_runtime": 1.142,
|
746 |
+
"eval_samples_per_second": 69.178,
|
747 |
+
"eval_steps_per_second": 2.627,
|
748 |
+
"step": 227
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 65.71428571428571,
|
752 |
+
"grad_norm": 2.6353225708007812,
|
753 |
+
"learning_rate": 1.2962962962962962e-05,
|
754 |
+
"loss": 0.1303,
|
755 |
+
"step": 230
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 66.0,
|
759 |
+
"eval_accuracy": 0.810126582278481,
|
760 |
+
"eval_loss": 0.6738837361335754,
|
761 |
+
"eval_runtime": 1.127,
|
762 |
+
"eval_samples_per_second": 70.095,
|
763 |
+
"eval_steps_per_second": 2.662,
|
764 |
+
"step": 231
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 66.85714285714286,
|
768 |
+
"eval_accuracy": 0.7848101265822784,
|
769 |
+
"eval_loss": 0.662686824798584,
|
770 |
+
"eval_runtime": 1.1663,
|
771 |
+
"eval_samples_per_second": 67.734,
|
772 |
+
"eval_steps_per_second": 2.572,
|
773 |
+
"step": 234
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 68.0,
|
777 |
+
"eval_accuracy": 0.7848101265822784,
|
778 |
+
"eval_loss": 0.640326201915741,
|
779 |
+
"eval_runtime": 1.133,
|
780 |
+
"eval_samples_per_second": 69.724,
|
781 |
+
"eval_steps_per_second": 2.648,
|
782 |
+
"step": 238
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 68.57142857142857,
|
786 |
+
"grad_norm": 3.1281940937042236,
|
787 |
+
"learning_rate": 1.1111111111111112e-05,
|
788 |
+
"loss": 0.1423,
|
789 |
+
"step": 240
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 68.85714285714286,
|
793 |
+
"eval_accuracy": 0.7974683544303798,
|
794 |
+
"eval_loss": 0.6378774642944336,
|
795 |
+
"eval_runtime": 1.1326,
|
796 |
+
"eval_samples_per_second": 69.753,
|
797 |
+
"eval_steps_per_second": 2.649,
|
798 |
+
"step": 241
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 70.0,
|
802 |
+
"eval_accuracy": 0.759493670886076,
|
803 |
+
"eval_loss": 0.7658242583274841,
|
804 |
+
"eval_runtime": 1.1438,
|
805 |
+
"eval_samples_per_second": 69.068,
|
806 |
+
"eval_steps_per_second": 2.623,
|
807 |
+
"step": 245
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 70.85714285714286,
|
811 |
+
"eval_accuracy": 0.7341772151898734,
|
812 |
+
"eval_loss": 0.9195311069488525,
|
813 |
+
"eval_runtime": 1.1256,
|
814 |
+
"eval_samples_per_second": 70.185,
|
815 |
+
"eval_steps_per_second": 2.665,
|
816 |
+
"step": 248
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 71.42857142857143,
|
820 |
+
"grad_norm": 2.4990944862365723,
|
821 |
+
"learning_rate": 9.259259259259259e-06,
|
822 |
+
"loss": 0.1019,
|
823 |
+
"step": 250
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 72.0,
|
827 |
+
"eval_accuracy": 0.7721518987341772,
|
828 |
+
"eval_loss": 0.7286852598190308,
|
829 |
+
"eval_runtime": 1.1291,
|
830 |
+
"eval_samples_per_second": 69.969,
|
831 |
+
"eval_steps_per_second": 2.657,
|
832 |
+
"step": 252
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 72.85714285714286,
|
836 |
+
"eval_accuracy": 0.7974683544303798,
|
837 |
+
"eval_loss": 0.6548206210136414,
|
838 |
+
"eval_runtime": 1.127,
|
839 |
+
"eval_samples_per_second": 70.098,
|
840 |
+
"eval_steps_per_second": 2.662,
|
841 |
+
"step": 255
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 74.0,
|
845 |
+
"eval_accuracy": 0.7848101265822784,
|
846 |
+
"eval_loss": 0.653405487537384,
|
847 |
+
"eval_runtime": 1.1305,
|
848 |
+
"eval_samples_per_second": 69.88,
|
849 |
+
"eval_steps_per_second": 2.654,
|
850 |
+
"step": 259
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 74.28571428571429,
|
854 |
+
"grad_norm": 2.0475404262542725,
|
855 |
+
"learning_rate": 7.4074074074074075e-06,
|
856 |
+
"loss": 0.1286,
|
857 |
+
"step": 260
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 74.85714285714286,
|
861 |
+
"eval_accuracy": 0.7848101265822784,
|
862 |
+
"eval_loss": 0.7330575585365295,
|
863 |
+
"eval_runtime": 1.1366,
|
864 |
+
"eval_samples_per_second": 69.508,
|
865 |
+
"eval_steps_per_second": 2.64,
|
866 |
+
"step": 262
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 76.0,
|
870 |
+
"eval_accuracy": 0.759493670886076,
|
871 |
+
"eval_loss": 0.7845055460929871,
|
872 |
+
"eval_runtime": 1.1356,
|
873 |
+
"eval_samples_per_second": 69.566,
|
874 |
+
"eval_steps_per_second": 2.642,
|
875 |
+
"step": 266
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 76.85714285714286,
|
879 |
+
"eval_accuracy": 0.7974683544303798,
|
880 |
+
"eval_loss": 0.7187694311141968,
|
881 |
+
"eval_runtime": 1.1547,
|
882 |
+
"eval_samples_per_second": 68.416,
|
883 |
+
"eval_steps_per_second": 2.598,
|
884 |
+
"step": 269
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 77.14285714285714,
|
888 |
+
"grad_norm": 3.98937726020813,
|
889 |
+
"learning_rate": 5.555555555555556e-06,
|
890 |
+
"loss": 0.1054,
|
891 |
+
"step": 270
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 78.0,
|
895 |
+
"eval_accuracy": 0.7721518987341772,
|
896 |
+
"eval_loss": 0.6595200896263123,
|
897 |
+
"eval_runtime": 1.1479,
|
898 |
+
"eval_samples_per_second": 68.823,
|
899 |
+
"eval_steps_per_second": 2.614,
|
900 |
+
"step": 273
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 78.85714285714286,
|
904 |
+
"eval_accuracy": 0.7721518987341772,
|
905 |
+
"eval_loss": 0.662256121635437,
|
906 |
+
"eval_runtime": 1.1304,
|
907 |
+
"eval_samples_per_second": 69.885,
|
908 |
+
"eval_steps_per_second": 2.654,
|
909 |
+
"step": 276
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 80.0,
|
913 |
+
"grad_norm": 1.8091683387756348,
|
914 |
+
"learning_rate": 3.7037037037037037e-06,
|
915 |
+
"loss": 0.1053,
|
916 |
+
"step": 280
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 80.0,
|
920 |
+
"eval_accuracy": 0.7721518987341772,
|
921 |
+
"eval_loss": 0.7336876392364502,
|
922 |
+
"eval_runtime": 1.1418,
|
923 |
+
"eval_samples_per_second": 69.186,
|
924 |
+
"eval_steps_per_second": 2.627,
|
925 |
+
"step": 280
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 80.85714285714286,
|
929 |
+
"eval_accuracy": 0.7468354430379747,
|
930 |
+
"eval_loss": 0.8085371851921082,
|
931 |
+
"eval_runtime": 1.1388,
|
932 |
+
"eval_samples_per_second": 69.372,
|
933 |
+
"eval_steps_per_second": 2.634,
|
934 |
+
"step": 283
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 82.0,
|
938 |
+
"eval_accuracy": 0.7468354430379747,
|
939 |
+
"eval_loss": 0.8200588226318359,
|
940 |
+
"eval_runtime": 1.1478,
|
941 |
+
"eval_samples_per_second": 68.825,
|
942 |
+
"eval_steps_per_second": 2.614,
|
943 |
+
"step": 287
|
944 |
+
},
|
945 |
+
{
|
946 |
+
"epoch": 82.85714285714286,
|
947 |
+
"grad_norm": 3.0363099575042725,
|
948 |
+
"learning_rate": 1.8518518518518519e-06,
|
949 |
+
"loss": 0.1086,
|
950 |
+
"step": 290
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 82.85714285714286,
|
954 |
+
"eval_accuracy": 0.7468354430379747,
|
955 |
+
"eval_loss": 0.7947056293487549,
|
956 |
+
"eval_runtime": 1.1218,
|
957 |
+
"eval_samples_per_second": 70.419,
|
958 |
+
"eval_steps_per_second": 2.674,
|
959 |
+
"step": 290
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 84.0,
|
963 |
+
"eval_accuracy": 0.7721518987341772,
|
964 |
+
"eval_loss": 0.7668984532356262,
|
965 |
+
"eval_runtime": 1.1428,
|
966 |
+
"eval_samples_per_second": 69.129,
|
967 |
+
"eval_steps_per_second": 2.625,
|
968 |
+
"step": 294
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 84.85714285714286,
|
972 |
+
"eval_accuracy": 0.759493670886076,
|
973 |
+
"eval_loss": 0.7581708431243896,
|
974 |
+
"eval_runtime": 1.1285,
|
975 |
+
"eval_samples_per_second": 70.006,
|
976 |
+
"eval_steps_per_second": 2.658,
|
977 |
+
"step": 297
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 85.71428571428571,
|
981 |
+
"grad_norm": 2.2897379398345947,
|
982 |
+
"learning_rate": 0.0,
|
983 |
+
"loss": 0.1186,
|
984 |
+
"step": 300
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 85.71428571428571,
|
988 |
+
"eval_accuracy": 0.759493670886076,
|
989 |
+
"eval_loss": 0.7541030645370483,
|
990 |
+
"eval_runtime": 1.1594,
|
991 |
+
"eval_samples_per_second": 68.138,
|
992 |
+
"eval_steps_per_second": 2.588,
|
993 |
+
"step": 300
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 85.71428571428571,
|
997 |
+
"step": 300,
|
998 |
+
"total_flos": 2.9362240500074496e+18,
|
999 |
+
"train_loss": 0.23499208807945252,
|
1000 |
+
"train_runtime": 1665.1689,
|
1001 |
+
"train_samples_per_second": 26.544,
|
1002 |
+
"train_steps_per_second": 0.18
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 85.71428571428571,
|
1006 |
+
"eval_accuracy": 0.8227848101265823,
|
1007 |
+
"eval_loss": 0.645160436630249,
|
1008 |
+
"eval_runtime": 1.1931,
|
1009 |
+
"eval_samples_per_second": 66.215,
|
1010 |
+
"eval_steps_per_second": 2.514,
|
1011 |
+
"step": 300
|
1012 |
+
}
|
1013 |
+
],
|
1014 |
+
"logging_steps": 10,
|
1015 |
+
"max_steps": 300,
|
1016 |
+
"num_input_tokens_seen": 0,
|
1017 |
+
"num_train_epochs": 100,
|
1018 |
+
"save_steps": 500,
|
1019 |
+
"stateful_callbacks": {
|
1020 |
+
"TrainerControl": {
|
1021 |
+
"args": {
|
1022 |
+
"should_epoch_stop": false,
|
1023 |
+
"should_evaluate": false,
|
1024 |
+
"should_log": false,
|
1025 |
+
"should_save": true,
|
1026 |
+
"should_training_stop": true
|
1027 |
+
},
|
1028 |
+
"attributes": {}
|
1029 |
+
}
|
1030 |
+
},
|
1031 |
+
"total_flos": 2.9362240500074496e+18,
|
1032 |
+
"train_batch_size": 32,
|
1033 |
+
"trial_name": null,
|
1034 |
+
"trial_params": null
|
1035 |
+
}
|