Upload folder using huggingface_hub
Browse files- checkpoint-3800/config.json +46 -0
- checkpoint-3800/model.safetensors +3 -0
- checkpoint-3800/optimizer.pt +3 -0
- checkpoint-3800/preprocessor_config.json +22 -0
- checkpoint-3800/rng_state.pth +3 -0
- checkpoint-3800/scheduler.pt +3 -0
- checkpoint-3800/trainer_state.json +961 -0
- checkpoint-3800/training_args.bin +3 -0
- config.json +46 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
checkpoint-3800/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "Bridge",
|
13 |
+
"1": "Child",
|
14 |
+
"2": "Cobra",
|
15 |
+
"3": "Downward-Dog",
|
16 |
+
"4": "Pigeon",
|
17 |
+
"5": "Standing-Mountain",
|
18 |
+
"6": "Tree",
|
19 |
+
"7": "Triangle",
|
20 |
+
"8": "Warrior"
|
21 |
+
},
|
22 |
+
"image_size": 224,
|
23 |
+
"initializer_range": 0.02,
|
24 |
+
"intermediate_size": 3072,
|
25 |
+
"label2id": {
|
26 |
+
"Bridge": 0,
|
27 |
+
"Child": 1,
|
28 |
+
"Cobra": 2,
|
29 |
+
"Downward-Dog": 3,
|
30 |
+
"Pigeon": 4,
|
31 |
+
"Standing-Mountain": 5,
|
32 |
+
"Tree": 6,
|
33 |
+
"Triangle": 7,
|
34 |
+
"Warrior": 8
|
35 |
+
},
|
36 |
+
"layer_norm_eps": 1e-12,
|
37 |
+
"model_type": "vit",
|
38 |
+
"num_attention_heads": 12,
|
39 |
+
"num_channels": 3,
|
40 |
+
"num_hidden_layers": 12,
|
41 |
+
"patch_size": 16,
|
42 |
+
"problem_type": "single_label_classification",
|
43 |
+
"qkv_bias": true,
|
44 |
+
"torch_dtype": "float32",
|
45 |
+
"transformers_version": "4.35.2"
|
46 |
+
}
|
checkpoint-3800/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:929d3e1f0a2285aa2165bbd131c14e00d8743cb7e422831240ac999593c1c4b1
|
3 |
+
size 343245508
|
checkpoint-3800/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68ea7e481c5de788b9e7ba32eb4be8bd18b63935b1b4b8b04fec4fec22c241e6
|
3 |
+
size 686611461
|
checkpoint-3800/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
checkpoint-3800/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21cfc308185c2aa1404ebf27c700939afcb55a1d5c912dae633432f4887bfcad
|
3 |
+
size 14575
|
checkpoint-3800/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:359355029ea11ca364fc25e2c18435e5f944992678b2a3b4158d44e2f52212c8
|
3 |
+
size 627
|
checkpoint-3800/trainer_state.json
ADDED
@@ -0,0 +1,961 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.3843018710613251,
|
3 |
+
"best_model_checkpoint": "yoga_pose_image_classification/checkpoint-3800",
|
4 |
+
"epoch": 100.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3800,
|
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 |
+
"eval_accuracy": 0.1212624584717608,
|
14 |
+
"eval_loss": 2.18632435798645,
|
15 |
+
"eval_runtime": 9.4012,
|
16 |
+
"eval_samples_per_second": 64.034,
|
17 |
+
"eval_steps_per_second": 2.021,
|
18 |
+
"step": 38
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 2.0,
|
22 |
+
"eval_accuracy": 0.2009966777408638,
|
23 |
+
"eval_loss": 2.154275417327881,
|
24 |
+
"eval_runtime": 9.4031,
|
25 |
+
"eval_samples_per_second": 64.021,
|
26 |
+
"eval_steps_per_second": 2.021,
|
27 |
+
"step": 76
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 3.0,
|
31 |
+
"eval_accuracy": 0.3239202657807309,
|
32 |
+
"eval_loss": 2.1111578941345215,
|
33 |
+
"eval_runtime": 9.3981,
|
34 |
+
"eval_samples_per_second": 64.056,
|
35 |
+
"eval_steps_per_second": 2.022,
|
36 |
+
"step": 114
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 4.0,
|
40 |
+
"eval_accuracy": 0.4833887043189369,
|
41 |
+
"eval_loss": 2.052860736846924,
|
42 |
+
"eval_runtime": 9.3515,
|
43 |
+
"eval_samples_per_second": 64.374,
|
44 |
+
"eval_steps_per_second": 2.032,
|
45 |
+
"step": 152
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 5.0,
|
49 |
+
"eval_accuracy": 0.5863787375415282,
|
50 |
+
"eval_loss": 1.9836093187332153,
|
51 |
+
"eval_runtime": 9.2802,
|
52 |
+
"eval_samples_per_second": 64.869,
|
53 |
+
"eval_steps_per_second": 2.047,
|
54 |
+
"step": 190
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 6.0,
|
58 |
+
"eval_accuracy": 0.6677740863787376,
|
59 |
+
"eval_loss": 1.9060654640197754,
|
60 |
+
"eval_runtime": 9.3038,
|
61 |
+
"eval_samples_per_second": 64.704,
|
62 |
+
"eval_steps_per_second": 2.042,
|
63 |
+
"step": 228
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 7.0,
|
67 |
+
"eval_accuracy": 0.7126245847176079,
|
68 |
+
"eval_loss": 1.8243703842163086,
|
69 |
+
"eval_runtime": 9.2471,
|
70 |
+
"eval_samples_per_second": 65.102,
|
71 |
+
"eval_steps_per_second": 2.055,
|
72 |
+
"step": 266
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 8.0,
|
76 |
+
"eval_accuracy": 0.7691029900332226,
|
77 |
+
"eval_loss": 1.738010287284851,
|
78 |
+
"eval_runtime": 9.2752,
|
79 |
+
"eval_samples_per_second": 64.905,
|
80 |
+
"eval_steps_per_second": 2.048,
|
81 |
+
"step": 304
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 9.0,
|
85 |
+
"eval_accuracy": 0.7956810631229236,
|
86 |
+
"eval_loss": 1.6476677656173706,
|
87 |
+
"eval_runtime": 9.1847,
|
88 |
+
"eval_samples_per_second": 65.544,
|
89 |
+
"eval_steps_per_second": 2.069,
|
90 |
+
"step": 342
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 10.0,
|
94 |
+
"eval_accuracy": 0.8073089700996677,
|
95 |
+
"eval_loss": 1.5577423572540283,
|
96 |
+
"eval_runtime": 9.1847,
|
97 |
+
"eval_samples_per_second": 65.544,
|
98 |
+
"eval_steps_per_second": 2.069,
|
99 |
+
"step": 380
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 11.0,
|
103 |
+
"eval_accuracy": 0.8222591362126246,
|
104 |
+
"eval_loss": 1.4709256887435913,
|
105 |
+
"eval_runtime": 8.9043,
|
106 |
+
"eval_samples_per_second": 67.608,
|
107 |
+
"eval_steps_per_second": 2.134,
|
108 |
+
"step": 418
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 12.0,
|
112 |
+
"eval_accuracy": 0.8338870431893688,
|
113 |
+
"eval_loss": 1.3882230520248413,
|
114 |
+
"eval_runtime": 9.1638,
|
115 |
+
"eval_samples_per_second": 65.693,
|
116 |
+
"eval_steps_per_second": 2.073,
|
117 |
+
"step": 456
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 13.0,
|
121 |
+
"eval_accuracy": 0.845514950166113,
|
122 |
+
"eval_loss": 1.314037799835205,
|
123 |
+
"eval_runtime": 9.4856,
|
124 |
+
"eval_samples_per_second": 63.465,
|
125 |
+
"eval_steps_per_second": 2.003,
|
126 |
+
"step": 494
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 13.16,
|
130 |
+
"learning_rate": 3.5199999999999998e-06,
|
131 |
+
"loss": 1.7637,
|
132 |
+
"step": 500
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 14.0,
|
136 |
+
"eval_accuracy": 0.8554817275747508,
|
137 |
+
"eval_loss": 1.2419167757034302,
|
138 |
+
"eval_runtime": 9.2365,
|
139 |
+
"eval_samples_per_second": 65.176,
|
140 |
+
"eval_steps_per_second": 2.057,
|
141 |
+
"step": 532
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 15.0,
|
145 |
+
"eval_accuracy": 0.8621262458471761,
|
146 |
+
"eval_loss": 1.175502896308899,
|
147 |
+
"eval_runtime": 9.1995,
|
148 |
+
"eval_samples_per_second": 65.439,
|
149 |
+
"eval_steps_per_second": 2.065,
|
150 |
+
"step": 570
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 16.0,
|
154 |
+
"eval_accuracy": 0.867109634551495,
|
155 |
+
"eval_loss": 1.1211938858032227,
|
156 |
+
"eval_runtime": 9.2041,
|
157 |
+
"eval_samples_per_second": 65.406,
|
158 |
+
"eval_steps_per_second": 2.064,
|
159 |
+
"step": 608
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 17.0,
|
163 |
+
"eval_accuracy": 0.8704318936877077,
|
164 |
+
"eval_loss": 1.0678402185440063,
|
165 |
+
"eval_runtime": 9.1819,
|
166 |
+
"eval_samples_per_second": 65.564,
|
167 |
+
"eval_steps_per_second": 2.069,
|
168 |
+
"step": 646
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 18.0,
|
172 |
+
"eval_accuracy": 0.8770764119601329,
|
173 |
+
"eval_loss": 1.0240187644958496,
|
174 |
+
"eval_runtime": 8.9907,
|
175 |
+
"eval_samples_per_second": 66.958,
|
176 |
+
"eval_steps_per_second": 2.113,
|
177 |
+
"step": 684
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 19.0,
|
181 |
+
"eval_accuracy": 0.8803986710963455,
|
182 |
+
"eval_loss": 0.9842038750648499,
|
183 |
+
"eval_runtime": 9.2217,
|
184 |
+
"eval_samples_per_second": 65.281,
|
185 |
+
"eval_steps_per_second": 2.06,
|
186 |
+
"step": 722
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 20.0,
|
190 |
+
"eval_accuracy": 0.8870431893687708,
|
191 |
+
"eval_loss": 0.9439226984977722,
|
192 |
+
"eval_runtime": 9.1617,
|
193 |
+
"eval_samples_per_second": 65.708,
|
194 |
+
"eval_steps_per_second": 2.074,
|
195 |
+
"step": 760
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 21.0,
|
199 |
+
"eval_accuracy": 0.8920265780730897,
|
200 |
+
"eval_loss": 0.9107761383056641,
|
201 |
+
"eval_runtime": 9.3007,
|
202 |
+
"eval_samples_per_second": 64.726,
|
203 |
+
"eval_steps_per_second": 2.043,
|
204 |
+
"step": 798
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 22.0,
|
208 |
+
"eval_accuracy": 0.893687707641196,
|
209 |
+
"eval_loss": 0.8776938319206238,
|
210 |
+
"eval_runtime": 8.8098,
|
211 |
+
"eval_samples_per_second": 68.333,
|
212 |
+
"eval_steps_per_second": 2.157,
|
213 |
+
"step": 836
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 23.0,
|
217 |
+
"eval_accuracy": 0.893687707641196,
|
218 |
+
"eval_loss": 0.8496754765510559,
|
219 |
+
"eval_runtime": 9.052,
|
220 |
+
"eval_samples_per_second": 66.504,
|
221 |
+
"eval_steps_per_second": 2.099,
|
222 |
+
"step": 874
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 24.0,
|
226 |
+
"eval_accuracy": 0.8986710963455149,
|
227 |
+
"eval_loss": 0.8216127753257751,
|
228 |
+
"eval_runtime": 9.1831,
|
229 |
+
"eval_samples_per_second": 65.555,
|
230 |
+
"eval_steps_per_second": 2.069,
|
231 |
+
"step": 912
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 25.0,
|
235 |
+
"eval_accuracy": 0.9053156146179402,
|
236 |
+
"eval_loss": 0.7941116094589233,
|
237 |
+
"eval_runtime": 8.8187,
|
238 |
+
"eval_samples_per_second": 68.264,
|
239 |
+
"eval_steps_per_second": 2.155,
|
240 |
+
"step": 950
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 26.0,
|
244 |
+
"eval_accuracy": 0.9086378737541528,
|
245 |
+
"eval_loss": 0.7701788544654846,
|
246 |
+
"eval_runtime": 9.255,
|
247 |
+
"eval_samples_per_second": 65.046,
|
248 |
+
"eval_steps_per_second": 2.053,
|
249 |
+
"step": 988
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 26.32,
|
253 |
+
"learning_rate": 2.9866666666666667e-06,
|
254 |
+
"loss": 0.8811,
|
255 |
+
"step": 1000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 27.0,
|
259 |
+
"eval_accuracy": 0.9069767441860465,
|
260 |
+
"eval_loss": 0.7498743534088135,
|
261 |
+
"eval_runtime": 8.9384,
|
262 |
+
"eval_samples_per_second": 67.35,
|
263 |
+
"eval_steps_per_second": 2.126,
|
264 |
+
"step": 1026
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 28.0,
|
268 |
+
"eval_accuracy": 0.9102990033222591,
|
269 |
+
"eval_loss": 0.7278289794921875,
|
270 |
+
"eval_runtime": 9.2157,
|
271 |
+
"eval_samples_per_second": 65.324,
|
272 |
+
"eval_steps_per_second": 2.062,
|
273 |
+
"step": 1064
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 29.0,
|
277 |
+
"eval_accuracy": 0.9119601328903655,
|
278 |
+
"eval_loss": 0.7089008092880249,
|
279 |
+
"eval_runtime": 9.5658,
|
280 |
+
"eval_samples_per_second": 62.933,
|
281 |
+
"eval_steps_per_second": 1.986,
|
282 |
+
"step": 1102
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 30.0,
|
286 |
+
"eval_accuracy": 0.9186046511627907,
|
287 |
+
"eval_loss": 0.6902615427970886,
|
288 |
+
"eval_runtime": 9.276,
|
289 |
+
"eval_samples_per_second": 64.899,
|
290 |
+
"eval_steps_per_second": 2.048,
|
291 |
+
"step": 1140
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 31.0,
|
295 |
+
"eval_accuracy": 0.920265780730897,
|
296 |
+
"eval_loss": 0.6722272038459778,
|
297 |
+
"eval_runtime": 9.2907,
|
298 |
+
"eval_samples_per_second": 64.796,
|
299 |
+
"eval_steps_per_second": 2.045,
|
300 |
+
"step": 1178
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 32.0,
|
304 |
+
"eval_accuracy": 0.9169435215946844,
|
305 |
+
"eval_loss": 0.6599347591400146,
|
306 |
+
"eval_runtime": 9.146,
|
307 |
+
"eval_samples_per_second": 65.821,
|
308 |
+
"eval_steps_per_second": 2.077,
|
309 |
+
"step": 1216
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 33.0,
|
313 |
+
"eval_accuracy": 0.9169435215946844,
|
314 |
+
"eval_loss": 0.6435149312019348,
|
315 |
+
"eval_runtime": 9.2827,
|
316 |
+
"eval_samples_per_second": 64.852,
|
317 |
+
"eval_steps_per_second": 2.047,
|
318 |
+
"step": 1254
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 34.0,
|
322 |
+
"eval_accuracy": 0.9186046511627907,
|
323 |
+
"eval_loss": 0.6296250820159912,
|
324 |
+
"eval_runtime": 8.9518,
|
325 |
+
"eval_samples_per_second": 67.249,
|
326 |
+
"eval_steps_per_second": 2.122,
|
327 |
+
"step": 1292
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 35.0,
|
331 |
+
"eval_accuracy": 0.920265780730897,
|
332 |
+
"eval_loss": 0.6152604222297668,
|
333 |
+
"eval_runtime": 9.2036,
|
334 |
+
"eval_samples_per_second": 65.409,
|
335 |
+
"eval_steps_per_second": 2.064,
|
336 |
+
"step": 1330
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 36.0,
|
340 |
+
"eval_accuracy": 0.9219269102990033,
|
341 |
+
"eval_loss": 0.6024987101554871,
|
342 |
+
"eval_runtime": 9.1807,
|
343 |
+
"eval_samples_per_second": 65.573,
|
344 |
+
"eval_steps_per_second": 2.07,
|
345 |
+
"step": 1368
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 37.0,
|
349 |
+
"eval_accuracy": 0.9235880398671097,
|
350 |
+
"eval_loss": 0.5926721692085266,
|
351 |
+
"eval_runtime": 9.3058,
|
352 |
+
"eval_samples_per_second": 64.691,
|
353 |
+
"eval_steps_per_second": 2.042,
|
354 |
+
"step": 1406
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 38.0,
|
358 |
+
"eval_accuracy": 0.9302325581395349,
|
359 |
+
"eval_loss": 0.5806441903114319,
|
360 |
+
"eval_runtime": 9.2355,
|
361 |
+
"eval_samples_per_second": 65.183,
|
362 |
+
"eval_steps_per_second": 2.057,
|
363 |
+
"step": 1444
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 39.0,
|
367 |
+
"eval_accuracy": 0.925249169435216,
|
368 |
+
"eval_loss": 0.5694455504417419,
|
369 |
+
"eval_runtime": 9.1082,
|
370 |
+
"eval_samples_per_second": 66.094,
|
371 |
+
"eval_steps_per_second": 2.086,
|
372 |
+
"step": 1482
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 39.47,
|
376 |
+
"learning_rate": 2.453333333333333e-06,
|
377 |
+
"loss": 0.5341,
|
378 |
+
"step": 1500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 40.0,
|
382 |
+
"eval_accuracy": 0.9235880398671097,
|
383 |
+
"eval_loss": 0.5654778480529785,
|
384 |
+
"eval_runtime": 9.1414,
|
385 |
+
"eval_samples_per_second": 65.854,
|
386 |
+
"eval_steps_per_second": 2.078,
|
387 |
+
"step": 1520
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 41.0,
|
391 |
+
"eval_accuracy": 0.9285714285714286,
|
392 |
+
"eval_loss": 0.5506969094276428,
|
393 |
+
"eval_runtime": 9.2079,
|
394 |
+
"eval_samples_per_second": 65.379,
|
395 |
+
"eval_steps_per_second": 2.063,
|
396 |
+
"step": 1558
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 42.0,
|
400 |
+
"eval_accuracy": 0.9302325581395349,
|
401 |
+
"eval_loss": 0.543114185333252,
|
402 |
+
"eval_runtime": 9.2502,
|
403 |
+
"eval_samples_per_second": 65.08,
|
404 |
+
"eval_steps_per_second": 2.054,
|
405 |
+
"step": 1596
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 43.0,
|
409 |
+
"eval_accuracy": 0.9318936877076412,
|
410 |
+
"eval_loss": 0.5349024534225464,
|
411 |
+
"eval_runtime": 9.0081,
|
412 |
+
"eval_samples_per_second": 66.829,
|
413 |
+
"eval_steps_per_second": 2.109,
|
414 |
+
"step": 1634
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 44.0,
|
418 |
+
"eval_accuracy": 0.9318936877076412,
|
419 |
+
"eval_loss": 0.5262035727500916,
|
420 |
+
"eval_runtime": 9.1978,
|
421 |
+
"eval_samples_per_second": 65.45,
|
422 |
+
"eval_steps_per_second": 2.066,
|
423 |
+
"step": 1672
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 45.0,
|
427 |
+
"eval_accuracy": 0.9269102990033222,
|
428 |
+
"eval_loss": 0.5220299363136292,
|
429 |
+
"eval_runtime": 9.148,
|
430 |
+
"eval_samples_per_second": 65.807,
|
431 |
+
"eval_steps_per_second": 2.077,
|
432 |
+
"step": 1710
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 46.0,
|
436 |
+
"eval_accuracy": 0.9269102990033222,
|
437 |
+
"eval_loss": 0.5145980715751648,
|
438 |
+
"eval_runtime": 9.2485,
|
439 |
+
"eval_samples_per_second": 65.092,
|
440 |
+
"eval_steps_per_second": 2.054,
|
441 |
+
"step": 1748
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 47.0,
|
445 |
+
"eval_accuracy": 0.9302325581395349,
|
446 |
+
"eval_loss": 0.5084472894668579,
|
447 |
+
"eval_runtime": 8.9428,
|
448 |
+
"eval_samples_per_second": 67.317,
|
449 |
+
"eval_steps_per_second": 2.125,
|
450 |
+
"step": 1786
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 48.0,
|
454 |
+
"eval_accuracy": 0.9302325581395349,
|
455 |
+
"eval_loss": 0.5007317066192627,
|
456 |
+
"eval_runtime": 9.1094,
|
457 |
+
"eval_samples_per_second": 66.086,
|
458 |
+
"eval_steps_per_second": 2.086,
|
459 |
+
"step": 1824
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 49.0,
|
463 |
+
"eval_accuracy": 0.9285714285714286,
|
464 |
+
"eval_loss": 0.4938865602016449,
|
465 |
+
"eval_runtime": 9.3331,
|
466 |
+
"eval_samples_per_second": 64.501,
|
467 |
+
"eval_steps_per_second": 2.036,
|
468 |
+
"step": 1862
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 50.0,
|
472 |
+
"eval_accuracy": 0.9302325581395349,
|
473 |
+
"eval_loss": 0.48970168828964233,
|
474 |
+
"eval_runtime": 9.2175,
|
475 |
+
"eval_samples_per_second": 65.31,
|
476 |
+
"eval_steps_per_second": 2.061,
|
477 |
+
"step": 1900
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 51.0,
|
481 |
+
"eval_accuracy": 0.9302325581395349,
|
482 |
+
"eval_loss": 0.4844241738319397,
|
483 |
+
"eval_runtime": 9.3402,
|
484 |
+
"eval_samples_per_second": 64.453,
|
485 |
+
"eval_steps_per_second": 2.034,
|
486 |
+
"step": 1938
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 52.0,
|
490 |
+
"eval_accuracy": 0.9302325581395349,
|
491 |
+
"eval_loss": 0.4789960980415344,
|
492 |
+
"eval_runtime": 9.2399,
|
493 |
+
"eval_samples_per_second": 65.152,
|
494 |
+
"eval_steps_per_second": 2.056,
|
495 |
+
"step": 1976
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 52.63,
|
499 |
+
"learning_rate": 1.92e-06,
|
500 |
+
"loss": 0.3822,
|
501 |
+
"step": 2000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 53.0,
|
505 |
+
"eval_accuracy": 0.9302325581395349,
|
506 |
+
"eval_loss": 0.4740654230117798,
|
507 |
+
"eval_runtime": 9.2394,
|
508 |
+
"eval_samples_per_second": 65.155,
|
509 |
+
"eval_steps_per_second": 2.056,
|
510 |
+
"step": 2014
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 54.0,
|
514 |
+
"eval_accuracy": 0.9318936877076412,
|
515 |
+
"eval_loss": 0.4689539968967438,
|
516 |
+
"eval_runtime": 9.192,
|
517 |
+
"eval_samples_per_second": 65.491,
|
518 |
+
"eval_steps_per_second": 2.067,
|
519 |
+
"step": 2052
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 55.0,
|
523 |
+
"eval_accuracy": 0.9302325581395349,
|
524 |
+
"eval_loss": 0.4651150107383728,
|
525 |
+
"eval_runtime": 9.0767,
|
526 |
+
"eval_samples_per_second": 66.324,
|
527 |
+
"eval_steps_per_second": 2.093,
|
528 |
+
"step": 2090
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 56.0,
|
532 |
+
"eval_accuracy": 0.9318936877076412,
|
533 |
+
"eval_loss": 0.4605846703052521,
|
534 |
+
"eval_runtime": 9.2523,
|
535 |
+
"eval_samples_per_second": 65.065,
|
536 |
+
"eval_steps_per_second": 2.054,
|
537 |
+
"step": 2128
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 57.0,
|
541 |
+
"eval_accuracy": 0.9302325581395349,
|
542 |
+
"eval_loss": 0.4576462507247925,
|
543 |
+
"eval_runtime": 9.1536,
|
544 |
+
"eval_samples_per_second": 65.767,
|
545 |
+
"eval_steps_per_second": 2.076,
|
546 |
+
"step": 2166
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 58.0,
|
550 |
+
"eval_accuracy": 0.9318936877076412,
|
551 |
+
"eval_loss": 0.45208579301834106,
|
552 |
+
"eval_runtime": 9.1727,
|
553 |
+
"eval_samples_per_second": 65.63,
|
554 |
+
"eval_steps_per_second": 2.071,
|
555 |
+
"step": 2204
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 59.0,
|
559 |
+
"eval_accuracy": 0.9318936877076412,
|
560 |
+
"eval_loss": 0.4491443336009979,
|
561 |
+
"eval_runtime": 9.1974,
|
562 |
+
"eval_samples_per_second": 65.453,
|
563 |
+
"eval_steps_per_second": 2.066,
|
564 |
+
"step": 2242
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 60.0,
|
568 |
+
"eval_accuracy": 0.9302325581395349,
|
569 |
+
"eval_loss": 0.44608035683631897,
|
570 |
+
"eval_runtime": 9.363,
|
571 |
+
"eval_samples_per_second": 64.295,
|
572 |
+
"eval_steps_per_second": 2.029,
|
573 |
+
"step": 2280
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 61.0,
|
577 |
+
"eval_accuracy": 0.9318936877076412,
|
578 |
+
"eval_loss": 0.4429391622543335,
|
579 |
+
"eval_runtime": 9.2675,
|
580 |
+
"eval_samples_per_second": 64.959,
|
581 |
+
"eval_steps_per_second": 2.05,
|
582 |
+
"step": 2318
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 62.0,
|
586 |
+
"eval_accuracy": 0.9318936877076412,
|
587 |
+
"eval_loss": 0.4398341476917267,
|
588 |
+
"eval_runtime": 9.2027,
|
589 |
+
"eval_samples_per_second": 65.416,
|
590 |
+
"eval_steps_per_second": 2.065,
|
591 |
+
"step": 2356
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 63.0,
|
595 |
+
"eval_accuracy": 0.9318936877076412,
|
596 |
+
"eval_loss": 0.43718549609184265,
|
597 |
+
"eval_runtime": 9.0863,
|
598 |
+
"eval_samples_per_second": 66.254,
|
599 |
+
"eval_steps_per_second": 2.091,
|
600 |
+
"step": 2394
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 64.0,
|
604 |
+
"eval_accuracy": 0.9302325581395349,
|
605 |
+
"eval_loss": 0.435174822807312,
|
606 |
+
"eval_runtime": 9.1649,
|
607 |
+
"eval_samples_per_second": 65.685,
|
608 |
+
"eval_steps_per_second": 2.073,
|
609 |
+
"step": 2432
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 65.0,
|
613 |
+
"eval_accuracy": 0.9302325581395349,
|
614 |
+
"eval_loss": 0.4314589500427246,
|
615 |
+
"eval_runtime": 9.0429,
|
616 |
+
"eval_samples_per_second": 66.572,
|
617 |
+
"eval_steps_per_second": 2.101,
|
618 |
+
"step": 2470
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 65.79,
|
622 |
+
"learning_rate": 1.3866666666666666e-06,
|
623 |
+
"loss": 0.3089,
|
624 |
+
"step": 2500
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 66.0,
|
628 |
+
"eval_accuracy": 0.9302325581395349,
|
629 |
+
"eval_loss": 0.4279780983924866,
|
630 |
+
"eval_runtime": 8.8928,
|
631 |
+
"eval_samples_per_second": 67.695,
|
632 |
+
"eval_steps_per_second": 2.137,
|
633 |
+
"step": 2508
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 67.0,
|
637 |
+
"eval_accuracy": 0.9302325581395349,
|
638 |
+
"eval_loss": 0.4262917935848236,
|
639 |
+
"eval_runtime": 9.0012,
|
640 |
+
"eval_samples_per_second": 66.88,
|
641 |
+
"eval_steps_per_second": 2.111,
|
642 |
+
"step": 2546
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 68.0,
|
646 |
+
"eval_accuracy": 0.9302325581395349,
|
647 |
+
"eval_loss": 0.42236465215682983,
|
648 |
+
"eval_runtime": 8.9695,
|
649 |
+
"eval_samples_per_second": 67.116,
|
650 |
+
"eval_steps_per_second": 2.118,
|
651 |
+
"step": 2584
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 69.0,
|
655 |
+
"eval_accuracy": 0.9302325581395349,
|
656 |
+
"eval_loss": 0.420457124710083,
|
657 |
+
"eval_runtime": 9.2333,
|
658 |
+
"eval_samples_per_second": 65.199,
|
659 |
+
"eval_steps_per_second": 2.058,
|
660 |
+
"step": 2622
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 70.0,
|
664 |
+
"eval_accuracy": 0.9302325581395349,
|
665 |
+
"eval_loss": 0.4179752767086029,
|
666 |
+
"eval_runtime": 9.1119,
|
667 |
+
"eval_samples_per_second": 66.067,
|
668 |
+
"eval_steps_per_second": 2.085,
|
669 |
+
"step": 2660
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 71.0,
|
673 |
+
"eval_accuracy": 0.9285714285714286,
|
674 |
+
"eval_loss": 0.41662338376045227,
|
675 |
+
"eval_runtime": 9.2498,
|
676 |
+
"eval_samples_per_second": 65.082,
|
677 |
+
"eval_steps_per_second": 2.054,
|
678 |
+
"step": 2698
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 72.0,
|
682 |
+
"eval_accuracy": 0.9302325581395349,
|
683 |
+
"eval_loss": 0.4137563109397888,
|
684 |
+
"eval_runtime": 9.0837,
|
685 |
+
"eval_samples_per_second": 66.273,
|
686 |
+
"eval_steps_per_second": 2.092,
|
687 |
+
"step": 2736
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 73.0,
|
691 |
+
"eval_accuracy": 0.9302325581395349,
|
692 |
+
"eval_loss": 0.4119124710559845,
|
693 |
+
"eval_runtime": 9.123,
|
694 |
+
"eval_samples_per_second": 65.987,
|
695 |
+
"eval_steps_per_second": 2.083,
|
696 |
+
"step": 2774
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 74.0,
|
700 |
+
"eval_accuracy": 0.9352159468438538,
|
701 |
+
"eval_loss": 0.4097132682800293,
|
702 |
+
"eval_runtime": 9.2672,
|
703 |
+
"eval_samples_per_second": 64.96,
|
704 |
+
"eval_steps_per_second": 2.05,
|
705 |
+
"step": 2812
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 75.0,
|
709 |
+
"eval_accuracy": 0.9335548172757475,
|
710 |
+
"eval_loss": 0.40696021914482117,
|
711 |
+
"eval_runtime": 8.9895,
|
712 |
+
"eval_samples_per_second": 66.967,
|
713 |
+
"eval_steps_per_second": 2.114,
|
714 |
+
"step": 2850
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 76.0,
|
718 |
+
"eval_accuracy": 0.9318936877076412,
|
719 |
+
"eval_loss": 0.40516966581344604,
|
720 |
+
"eval_runtime": 9.1036,
|
721 |
+
"eval_samples_per_second": 66.128,
|
722 |
+
"eval_steps_per_second": 2.087,
|
723 |
+
"step": 2888
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 77.0,
|
727 |
+
"eval_accuracy": 0.9335548172757475,
|
728 |
+
"eval_loss": 0.40282949805259705,
|
729 |
+
"eval_runtime": 9.1585,
|
730 |
+
"eval_samples_per_second": 65.731,
|
731 |
+
"eval_steps_per_second": 2.075,
|
732 |
+
"step": 2926
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 78.0,
|
736 |
+
"eval_accuracy": 0.9335548172757475,
|
737 |
+
"eval_loss": 0.4002813994884491,
|
738 |
+
"eval_runtime": 9.2285,
|
739 |
+
"eval_samples_per_second": 65.233,
|
740 |
+
"eval_steps_per_second": 2.059,
|
741 |
+
"step": 2964
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 78.95,
|
745 |
+
"learning_rate": 8.533333333333334e-07,
|
746 |
+
"loss": 0.2708,
|
747 |
+
"step": 3000
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 79.0,
|
751 |
+
"eval_accuracy": 0.9352159468438538,
|
752 |
+
"eval_loss": 0.3989640772342682,
|
753 |
+
"eval_runtime": 9.2555,
|
754 |
+
"eval_samples_per_second": 65.042,
|
755 |
+
"eval_steps_per_second": 2.053,
|
756 |
+
"step": 3002
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 80.0,
|
760 |
+
"eval_accuracy": 0.9368770764119602,
|
761 |
+
"eval_loss": 0.3976523280143738,
|
762 |
+
"eval_runtime": 9.2496,
|
763 |
+
"eval_samples_per_second": 65.084,
|
764 |
+
"eval_steps_per_second": 2.054,
|
765 |
+
"step": 3040
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 81.0,
|
769 |
+
"eval_accuracy": 0.9335548172757475,
|
770 |
+
"eval_loss": 0.39560216665267944,
|
771 |
+
"eval_runtime": 9.3445,
|
772 |
+
"eval_samples_per_second": 64.423,
|
773 |
+
"eval_steps_per_second": 2.033,
|
774 |
+
"step": 3078
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 82.0,
|
778 |
+
"eval_accuracy": 0.9368770764119602,
|
779 |
+
"eval_loss": 0.39483192563056946,
|
780 |
+
"eval_runtime": 9.0825,
|
781 |
+
"eval_samples_per_second": 66.282,
|
782 |
+
"eval_steps_per_second": 2.092,
|
783 |
+
"step": 3116
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 83.0,
|
787 |
+
"eval_accuracy": 0.9368770764119602,
|
788 |
+
"eval_loss": 0.3940925896167755,
|
789 |
+
"eval_runtime": 8.9097,
|
790 |
+
"eval_samples_per_second": 67.567,
|
791 |
+
"eval_steps_per_second": 2.133,
|
792 |
+
"step": 3154
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 84.0,
|
796 |
+
"eval_accuracy": 0.9368770764119602,
|
797 |
+
"eval_loss": 0.3927687406539917,
|
798 |
+
"eval_runtime": 9.2565,
|
799 |
+
"eval_samples_per_second": 65.035,
|
800 |
+
"eval_steps_per_second": 2.053,
|
801 |
+
"step": 3192
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 85.0,
|
805 |
+
"eval_accuracy": 0.9368770764119602,
|
806 |
+
"eval_loss": 0.39090487360954285,
|
807 |
+
"eval_runtime": 9.3794,
|
808 |
+
"eval_samples_per_second": 64.184,
|
809 |
+
"eval_steps_per_second": 2.026,
|
810 |
+
"step": 3230
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 86.0,
|
814 |
+
"eval_accuracy": 0.9368770764119602,
|
815 |
+
"eval_loss": 0.3901437222957611,
|
816 |
+
"eval_runtime": 9.1195,
|
817 |
+
"eval_samples_per_second": 66.013,
|
818 |
+
"eval_steps_per_second": 2.083,
|
819 |
+
"step": 3268
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 87.0,
|
823 |
+
"eval_accuracy": 0.9368770764119602,
|
824 |
+
"eval_loss": 0.3894195556640625,
|
825 |
+
"eval_runtime": 9.1199,
|
826 |
+
"eval_samples_per_second": 66.01,
|
827 |
+
"eval_steps_per_second": 2.083,
|
828 |
+
"step": 3306
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 88.0,
|
832 |
+
"eval_accuracy": 0.9368770764119602,
|
833 |
+
"eval_loss": 0.38919058442115784,
|
834 |
+
"eval_runtime": 9.2628,
|
835 |
+
"eval_samples_per_second": 64.991,
|
836 |
+
"eval_steps_per_second": 2.051,
|
837 |
+
"step": 3344
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 89.0,
|
841 |
+
"eval_accuracy": 0.9368770764119602,
|
842 |
+
"eval_loss": 0.388712078332901,
|
843 |
+
"eval_runtime": 9.1513,
|
844 |
+
"eval_samples_per_second": 65.783,
|
845 |
+
"eval_steps_per_second": 2.076,
|
846 |
+
"step": 3382
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 90.0,
|
850 |
+
"eval_accuracy": 0.9368770764119602,
|
851 |
+
"eval_loss": 0.3878062665462494,
|
852 |
+
"eval_runtime": 8.9396,
|
853 |
+
"eval_samples_per_second": 67.341,
|
854 |
+
"eval_steps_per_second": 2.125,
|
855 |
+
"step": 3420
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 91.0,
|
859 |
+
"eval_accuracy": 0.9368770764119602,
|
860 |
+
"eval_loss": 0.38750186562538147,
|
861 |
+
"eval_runtime": 9.2575,
|
862 |
+
"eval_samples_per_second": 65.028,
|
863 |
+
"eval_steps_per_second": 2.052,
|
864 |
+
"step": 3458
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 92.0,
|
868 |
+
"eval_accuracy": 0.9385382059800664,
|
869 |
+
"eval_loss": 0.38650283217430115,
|
870 |
+
"eval_runtime": 9.1672,
|
871 |
+
"eval_samples_per_second": 65.669,
|
872 |
+
"eval_steps_per_second": 2.073,
|
873 |
+
"step": 3496
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 92.11,
|
877 |
+
"learning_rate": 3.2e-07,
|
878 |
+
"loss": 0.2496,
|
879 |
+
"step": 3500
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 93.0,
|
883 |
+
"eval_accuracy": 0.9368770764119602,
|
884 |
+
"eval_loss": 0.3866115212440491,
|
885 |
+
"eval_runtime": 9.0461,
|
886 |
+
"eval_samples_per_second": 66.548,
|
887 |
+
"eval_steps_per_second": 2.1,
|
888 |
+
"step": 3534
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 94.0,
|
892 |
+
"eval_accuracy": 0.9385382059800664,
|
893 |
+
"eval_loss": 0.3854145407676697,
|
894 |
+
"eval_runtime": 9.209,
|
895 |
+
"eval_samples_per_second": 65.371,
|
896 |
+
"eval_steps_per_second": 2.063,
|
897 |
+
"step": 3572
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 95.0,
|
901 |
+
"eval_accuracy": 0.9385382059800664,
|
902 |
+
"eval_loss": 0.38511377573013306,
|
903 |
+
"eval_runtime": 9.1643,
|
904 |
+
"eval_samples_per_second": 65.69,
|
905 |
+
"eval_steps_per_second": 2.073,
|
906 |
+
"step": 3610
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 96.0,
|
910 |
+
"eval_accuracy": 0.9385382059800664,
|
911 |
+
"eval_loss": 0.38524767756462097,
|
912 |
+
"eval_runtime": 9.2315,
|
913 |
+
"eval_samples_per_second": 65.211,
|
914 |
+
"eval_steps_per_second": 2.058,
|
915 |
+
"step": 3648
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 97.0,
|
919 |
+
"eval_accuracy": 0.9385382059800664,
|
920 |
+
"eval_loss": 0.38468137383461,
|
921 |
+
"eval_runtime": 9.3077,
|
922 |
+
"eval_samples_per_second": 64.678,
|
923 |
+
"eval_steps_per_second": 2.041,
|
924 |
+
"step": 3686
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 98.0,
|
928 |
+
"eval_accuracy": 0.9385382059800664,
|
929 |
+
"eval_loss": 0.38459545373916626,
|
930 |
+
"eval_runtime": 9.2928,
|
931 |
+
"eval_samples_per_second": 64.781,
|
932 |
+
"eval_steps_per_second": 2.045,
|
933 |
+
"step": 3724
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 99.0,
|
937 |
+
"eval_accuracy": 0.9385382059800664,
|
938 |
+
"eval_loss": 0.38430511951446533,
|
939 |
+
"eval_runtime": 9.1498,
|
940 |
+
"eval_samples_per_second": 65.794,
|
941 |
+
"eval_steps_per_second": 2.077,
|
942 |
+
"step": 3762
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 100.0,
|
946 |
+
"eval_accuracy": 0.9385382059800664,
|
947 |
+
"eval_loss": 0.3843018710613251,
|
948 |
+
"eval_runtime": 9.1442,
|
949 |
+
"eval_samples_per_second": 65.834,
|
950 |
+
"eval_steps_per_second": 2.078,
|
951 |
+
"step": 3800
|
952 |
+
}
|
953 |
+
],
|
954 |
+
"logging_steps": 500,
|
955 |
+
"max_steps": 3800,
|
956 |
+
"num_train_epochs": 100,
|
957 |
+
"save_steps": 500,
|
958 |
+
"total_flos": 1.8630243068851814e+19,
|
959 |
+
"trial_name": null,
|
960 |
+
"trial_params": null
|
961 |
+
}
|
checkpoint-3800/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:acbec0f283828ec8d6f0c8e71a6119dbc3158d8801b0d50b9dfbeb0a01d5771c
|
3 |
+
size 4091
|
config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "Bridge",
|
13 |
+
"1": "Child",
|
14 |
+
"2": "Cobra",
|
15 |
+
"3": "Downward-Dog",
|
16 |
+
"4": "Pigeon",
|
17 |
+
"5": "Standing-Mountain",
|
18 |
+
"6": "Tree",
|
19 |
+
"7": "Triangle",
|
20 |
+
"8": "Warrior"
|
21 |
+
},
|
22 |
+
"image_size": 224,
|
23 |
+
"initializer_range": 0.02,
|
24 |
+
"intermediate_size": 3072,
|
25 |
+
"label2id": {
|
26 |
+
"Bridge": 0,
|
27 |
+
"Child": 1,
|
28 |
+
"Cobra": 2,
|
29 |
+
"Downward-Dog": 3,
|
30 |
+
"Pigeon": 4,
|
31 |
+
"Standing-Mountain": 5,
|
32 |
+
"Tree": 6,
|
33 |
+
"Triangle": 7,
|
34 |
+
"Warrior": 8
|
35 |
+
},
|
36 |
+
"layer_norm_eps": 1e-12,
|
37 |
+
"model_type": "vit",
|
38 |
+
"num_attention_heads": 12,
|
39 |
+
"num_channels": 3,
|
40 |
+
"num_hidden_layers": 12,
|
41 |
+
"patch_size": 16,
|
42 |
+
"problem_type": "single_label_classification",
|
43 |
+
"qkv_bias": true,
|
44 |
+
"torch_dtype": "float32",
|
45 |
+
"transformers_version": "4.35.2"
|
46 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:929d3e1f0a2285aa2165bbd131c14e00d8743cb7e422831240ac999593c1c4b1
|
3 |
+
size 343245508
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:acbec0f283828ec8d6f0c8e71a6119dbc3158d8801b0d50b9dfbeb0a01d5771c
|
3 |
+
size 4091
|