Upload folder using huggingface_hub
#5
by
Manasee27
- opened
- all_results.json +6 -6
- checkpoint-1160/config.json +40 -0
- checkpoint-1160/optimizer.pt +3 -0
- checkpoint-1160/preprocessor_config.json +22 -0
- checkpoint-1160/pytorch_model.bin +3 -0
- checkpoint-1160/rng_state.pth +3 -0
- checkpoint-1160/scheduler.pt +3 -0
- checkpoint-1160/trainer_state.json +973 -0
- checkpoint-1160/training_args.bin +3 -0
- checkpoint-5840/config.json +40 -0
- checkpoint-5840/optimizer.pt +3 -0
- checkpoint-5840/preprocessor_config.json +22 -0
- checkpoint-5840/pytorch_model.bin +3 -0
- checkpoint-5840/rng_state.pth +3 -0
- checkpoint-5840/scheduler.pt +3 -0
- checkpoint-5840/trainer_state.json +0 -0
- checkpoint-5840/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- train_results.json +6 -6
- trainer_state.json +0 -0
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 10.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"total_flos": 7.243048468628582e+18,
|
4 |
+
"train_loss": 0.1559911989340654,
|
5 |
+
"train_runtime": 9254.6234,
|
6 |
+
"train_samples_per_second": 10.114,
|
7 |
+
"train_steps_per_second": 0.632
|
8 |
}
|
checkpoint-1160/config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "Brazil",
|
13 |
+
"1": "Canada",
|
14 |
+
"2": "Finland",
|
15 |
+
"3": "Japan",
|
16 |
+
"4": "United-Kingdom",
|
17 |
+
"5": "United_States"
|
18 |
+
},
|
19 |
+
"image_size": 224,
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"Brazil": "0",
|
24 |
+
"Canada": "1",
|
25 |
+
"Finland": "2",
|
26 |
+
"Japan": "3",
|
27 |
+
"United-Kingdom": "4",
|
28 |
+
"United_States": "5"
|
29 |
+
},
|
30 |
+
"layer_norm_eps": 1e-12,
|
31 |
+
"model_type": "vit",
|
32 |
+
"num_attention_heads": 12,
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_hidden_layers": 12,
|
35 |
+
"patch_size": 16,
|
36 |
+
"problem_type": "single_label_classification",
|
37 |
+
"qkv_bias": true,
|
38 |
+
"torch_dtype": "float32",
|
39 |
+
"transformers_version": "4.31.0"
|
40 |
+
}
|
checkpoint-1160/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0b662c58d7407b3c58eb022c58ceb753887abd4e03814229f9dffa4dcbde4492
|
3 |
+
size 686537861
|
checkpoint-1160/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": "ViTFeatureExtractor",
|
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-1160/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da704a6cb51e648486e5245ffa315bac0c7f02bb9187d11294f3945a898fb971
|
3 |
+
size 343278253
|
checkpoint-1160/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9f17574b458d75c9fb9942b59ba069fba448afd09ba95fb17bda6ac6d4ece4d
|
3 |
+
size 13617
|
checkpoint-1160/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d26209d1092214d771860d51e59eb1362f4afe3902eb12c7eddc6b4d9bf3b34e
|
3 |
+
size 627
|
checkpoint-1160/trainer_state.json
ADDED
@@ -0,0 +1,973 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6604002714157104,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-1160",
|
4 |
+
"epoch": 2.9743589743589745,
|
5 |
+
"global_step": 1160,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 0.00019965811965811967,
|
13 |
+
"loss": 1.7468,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 0.00019931623931623932,
|
19 |
+
"loss": 1.653,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.08,
|
24 |
+
"learning_rate": 0.00019897435897435898,
|
25 |
+
"loss": 1.5026,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.1,
|
30 |
+
"learning_rate": 0.00019863247863247864,
|
31 |
+
"loss": 1.4296,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.1,
|
36 |
+
"eval_accuracy": 0.41975308641975306,
|
37 |
+
"eval_loss": 1.4691457748413086,
|
38 |
+
"eval_runtime": 61.6215,
|
39 |
+
"eval_samples_per_second": 57.902,
|
40 |
+
"eval_steps_per_second": 7.238,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.13,
|
45 |
+
"learning_rate": 0.0001982905982905983,
|
46 |
+
"loss": 1.369,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.15,
|
51 |
+
"learning_rate": 0.00019794871794871796,
|
52 |
+
"loss": 1.2948,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.18,
|
57 |
+
"learning_rate": 0.0001976068376068376,
|
58 |
+
"loss": 1.3074,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.21,
|
63 |
+
"learning_rate": 0.00019726495726495727,
|
64 |
+
"loss": 1.3074,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.21,
|
69 |
+
"eval_accuracy": 0.5549943883277216,
|
70 |
+
"eval_loss": 1.1999692916870117,
|
71 |
+
"eval_runtime": 33.0603,
|
72 |
+
"eval_samples_per_second": 107.924,
|
73 |
+
"eval_steps_per_second": 13.491,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.23,
|
78 |
+
"learning_rate": 0.00019692307692307696,
|
79 |
+
"loss": 1.1725,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.26,
|
84 |
+
"learning_rate": 0.00019658119658119659,
|
85 |
+
"loss": 1.1944,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.28,
|
90 |
+
"learning_rate": 0.00019623931623931624,
|
91 |
+
"loss": 1.18,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.31,
|
96 |
+
"learning_rate": 0.0001958974358974359,
|
97 |
+
"loss": 1.1731,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.31,
|
102 |
+
"eval_accuracy": 0.6689113355780022,
|
103 |
+
"eval_loss": 0.978410005569458,
|
104 |
+
"eval_runtime": 37.0531,
|
105 |
+
"eval_samples_per_second": 96.294,
|
106 |
+
"eval_steps_per_second": 12.037,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.33,
|
111 |
+
"learning_rate": 0.00019555555555555556,
|
112 |
+
"loss": 0.9441,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.36,
|
117 |
+
"learning_rate": 0.00019521367521367522,
|
118 |
+
"loss": 1.0459,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.38,
|
123 |
+
"learning_rate": 0.00019487179487179487,
|
124 |
+
"loss": 1.1109,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.41,
|
129 |
+
"learning_rate": 0.00019452991452991453,
|
130 |
+
"loss": 1.0094,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 0.41,
|
135 |
+
"eval_accuracy": 0.6616161616161617,
|
136 |
+
"eval_loss": 0.9483916759490967,
|
137 |
+
"eval_runtime": 32.6783,
|
138 |
+
"eval_samples_per_second": 109.185,
|
139 |
+
"eval_steps_per_second": 13.648,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.44,
|
144 |
+
"learning_rate": 0.0001941880341880342,
|
145 |
+
"loss": 0.9165,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.46,
|
150 |
+
"learning_rate": 0.00019384615384615385,
|
151 |
+
"loss": 1.0904,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.49,
|
156 |
+
"learning_rate": 0.0001935042735042735,
|
157 |
+
"loss": 0.9846,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.51,
|
162 |
+
"learning_rate": 0.00019316239316239316,
|
163 |
+
"loss": 1.0908,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.51,
|
168 |
+
"eval_accuracy": 0.5454545454545454,
|
169 |
+
"eval_loss": 1.2091434001922607,
|
170 |
+
"eval_runtime": 32.1465,
|
171 |
+
"eval_samples_per_second": 110.992,
|
172 |
+
"eval_steps_per_second": 13.874,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.54,
|
177 |
+
"learning_rate": 0.00019282051282051282,
|
178 |
+
"loss": 1.0193,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.56,
|
183 |
+
"learning_rate": 0.0001924786324786325,
|
184 |
+
"loss": 0.9809,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.59,
|
189 |
+
"learning_rate": 0.00019213675213675216,
|
190 |
+
"loss": 0.9673,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.62,
|
195 |
+
"learning_rate": 0.00019179487179487182,
|
196 |
+
"loss": 0.9402,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.62,
|
201 |
+
"eval_accuracy": 0.6481481481481481,
|
202 |
+
"eval_loss": 0.9721583724021912,
|
203 |
+
"eval_runtime": 33.9462,
|
204 |
+
"eval_samples_per_second": 105.107,
|
205 |
+
"eval_steps_per_second": 13.138,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.64,
|
210 |
+
"learning_rate": 0.00019145299145299148,
|
211 |
+
"loss": 0.8103,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.67,
|
216 |
+
"learning_rate": 0.00019111111111111114,
|
217 |
+
"loss": 0.8564,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.69,
|
222 |
+
"learning_rate": 0.0001907692307692308,
|
223 |
+
"loss": 1.1074,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.72,
|
228 |
+
"learning_rate": 0.00019042735042735042,
|
229 |
+
"loss": 1.044,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.72,
|
234 |
+
"eval_accuracy": 0.5897867564534232,
|
235 |
+
"eval_loss": 1.1147791147232056,
|
236 |
+
"eval_runtime": 32.6846,
|
237 |
+
"eval_samples_per_second": 109.164,
|
238 |
+
"eval_steps_per_second": 13.646,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.74,
|
243 |
+
"learning_rate": 0.00019008547008547008,
|
244 |
+
"loss": 1.016,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.77,
|
249 |
+
"learning_rate": 0.00018974358974358974,
|
250 |
+
"loss": 0.8815,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.79,
|
255 |
+
"learning_rate": 0.0001894017094017094,
|
256 |
+
"loss": 0.8718,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.82,
|
261 |
+
"learning_rate": 0.00018905982905982906,
|
262 |
+
"loss": 0.6886,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.82,
|
267 |
+
"eval_accuracy": 0.7272727272727273,
|
268 |
+
"eval_loss": 0.7878678441047668,
|
269 |
+
"eval_runtime": 31.1497,
|
270 |
+
"eval_samples_per_second": 114.544,
|
271 |
+
"eval_steps_per_second": 14.318,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.85,
|
276 |
+
"learning_rate": 0.0001887179487179487,
|
277 |
+
"loss": 0.8122,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.87,
|
282 |
+
"learning_rate": 0.00018837606837606837,
|
283 |
+
"loss": 0.6107,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.9,
|
288 |
+
"learning_rate": 0.00018803418803418803,
|
289 |
+
"loss": 0.7783,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.92,
|
294 |
+
"learning_rate": 0.0001876923076923077,
|
295 |
+
"loss": 0.8432,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.92,
|
300 |
+
"eval_accuracy": 0.7480359147025814,
|
301 |
+
"eval_loss": 0.7056980729103088,
|
302 |
+
"eval_runtime": 32.2533,
|
303 |
+
"eval_samples_per_second": 110.624,
|
304 |
+
"eval_steps_per_second": 13.828,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.95,
|
309 |
+
"learning_rate": 0.00018735042735042737,
|
310 |
+
"loss": 0.8314,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.97,
|
315 |
+
"learning_rate": 0.00018700854700854703,
|
316 |
+
"loss": 0.8488,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.0,
|
321 |
+
"learning_rate": 0.0001866666666666667,
|
322 |
+
"loss": 0.8547,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.03,
|
327 |
+
"learning_rate": 0.00018632478632478634,
|
328 |
+
"loss": 0.7394,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.03,
|
333 |
+
"eval_accuracy": 0.6835016835016835,
|
334 |
+
"eval_loss": 0.9139666557312012,
|
335 |
+
"eval_runtime": 42.9913,
|
336 |
+
"eval_samples_per_second": 82.994,
|
337 |
+
"eval_steps_per_second": 10.374,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.05,
|
342 |
+
"learning_rate": 0.000185982905982906,
|
343 |
+
"loss": 0.5767,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.08,
|
348 |
+
"learning_rate": 0.00018564102564102566,
|
349 |
+
"loss": 0.5304,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.1,
|
354 |
+
"learning_rate": 0.00018529914529914532,
|
355 |
+
"loss": 0.6296,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.13,
|
360 |
+
"learning_rate": 0.00018495726495726497,
|
361 |
+
"loss": 0.6004,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 1.13,
|
366 |
+
"eval_accuracy": 0.7255892255892256,
|
367 |
+
"eval_loss": 0.7451665997505188,
|
368 |
+
"eval_runtime": 31.8253,
|
369 |
+
"eval_samples_per_second": 112.112,
|
370 |
+
"eval_steps_per_second": 14.014,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.15,
|
375 |
+
"learning_rate": 0.00018461538461538463,
|
376 |
+
"loss": 0.518,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.18,
|
381 |
+
"learning_rate": 0.00018427350427350426,
|
382 |
+
"loss": 0.5825,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.21,
|
387 |
+
"learning_rate": 0.00018393162393162392,
|
388 |
+
"loss": 0.5465,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.23,
|
393 |
+
"learning_rate": 0.00018358974358974358,
|
394 |
+
"loss": 0.5201,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.23,
|
399 |
+
"eval_accuracy": 0.6879910213243546,
|
400 |
+
"eval_loss": 0.8496339917182922,
|
401 |
+
"eval_runtime": 33.617,
|
402 |
+
"eval_samples_per_second": 106.137,
|
403 |
+
"eval_steps_per_second": 13.267,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.26,
|
408 |
+
"learning_rate": 0.00018324786324786324,
|
409 |
+
"loss": 0.5016,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.28,
|
414 |
+
"learning_rate": 0.00018290598290598292,
|
415 |
+
"loss": 0.6101,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 1.31,
|
420 |
+
"learning_rate": 0.00018256410256410258,
|
421 |
+
"loss": 0.5572,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.33,
|
426 |
+
"learning_rate": 0.00018222222222222224,
|
427 |
+
"loss": 0.4039,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 1.33,
|
432 |
+
"eval_accuracy": 0.7312008978675645,
|
433 |
+
"eval_loss": 0.7843908071517944,
|
434 |
+
"eval_runtime": 31.7575,
|
435 |
+
"eval_samples_per_second": 112.351,
|
436 |
+
"eval_steps_per_second": 14.044,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.36,
|
441 |
+
"learning_rate": 0.0001818803418803419,
|
442 |
+
"loss": 0.4831,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.38,
|
447 |
+
"learning_rate": 0.00018153846153846155,
|
448 |
+
"loss": 0.5493,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.41,
|
453 |
+
"learning_rate": 0.0001811965811965812,
|
454 |
+
"loss": 0.4942,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.44,
|
459 |
+
"learning_rate": 0.00018085470085470087,
|
460 |
+
"loss": 0.4475,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.44,
|
465 |
+
"eval_accuracy": 0.6593714927048261,
|
466 |
+
"eval_loss": 0.9572438597679138,
|
467 |
+
"eval_runtime": 31.2916,
|
468 |
+
"eval_samples_per_second": 114.024,
|
469 |
+
"eval_steps_per_second": 14.253,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.46,
|
474 |
+
"learning_rate": 0.00018051282051282052,
|
475 |
+
"loss": 0.4667,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 1.49,
|
480 |
+
"learning_rate": 0.00018017094017094018,
|
481 |
+
"loss": 0.4685,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 1.51,
|
486 |
+
"learning_rate": 0.00017982905982905984,
|
487 |
+
"loss": 0.5028,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.54,
|
492 |
+
"learning_rate": 0.0001794871794871795,
|
493 |
+
"loss": 0.6071,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.54,
|
498 |
+
"eval_accuracy": 0.7676767676767676,
|
499 |
+
"eval_loss": 0.6666165590286255,
|
500 |
+
"eval_runtime": 32.2041,
|
501 |
+
"eval_samples_per_second": 110.793,
|
502 |
+
"eval_steps_per_second": 13.849,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.56,
|
507 |
+
"learning_rate": 0.00017914529914529916,
|
508 |
+
"loss": 0.5134,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.59,
|
513 |
+
"learning_rate": 0.0001788034188034188,
|
514 |
+
"loss": 0.658,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.62,
|
519 |
+
"learning_rate": 0.00017846153846153847,
|
520 |
+
"loss": 0.606,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.64,
|
525 |
+
"learning_rate": 0.00017811965811965813,
|
526 |
+
"loss": 0.5004,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.64,
|
531 |
+
"eval_accuracy": 0.7373737373737373,
|
532 |
+
"eval_loss": 0.7380097508430481,
|
533 |
+
"eval_runtime": 32.5063,
|
534 |
+
"eval_samples_per_second": 109.763,
|
535 |
+
"eval_steps_per_second": 13.72,
|
536 |
+
"step": 640
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.67,
|
540 |
+
"learning_rate": 0.00017777777777777779,
|
541 |
+
"loss": 0.5404,
|
542 |
+
"step": 650
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.69,
|
546 |
+
"learning_rate": 0.00017743589743589744,
|
547 |
+
"loss": 0.5775,
|
548 |
+
"step": 660
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.72,
|
552 |
+
"learning_rate": 0.0001770940170940171,
|
553 |
+
"loss": 0.5013,
|
554 |
+
"step": 670
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.74,
|
558 |
+
"learning_rate": 0.00017675213675213676,
|
559 |
+
"loss": 0.6024,
|
560 |
+
"step": 680
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.74,
|
564 |
+
"eval_accuracy": 0.7407407407407407,
|
565 |
+
"eval_loss": 0.7545998692512512,
|
566 |
+
"eval_runtime": 36.6802,
|
567 |
+
"eval_samples_per_second": 97.273,
|
568 |
+
"eval_steps_per_second": 12.159,
|
569 |
+
"step": 680
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.77,
|
573 |
+
"learning_rate": 0.00017641025641025642,
|
574 |
+
"loss": 0.4815,
|
575 |
+
"step": 690
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.79,
|
579 |
+
"learning_rate": 0.00017606837606837607,
|
580 |
+
"loss": 0.4727,
|
581 |
+
"step": 700
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.82,
|
585 |
+
"learning_rate": 0.00017572649572649573,
|
586 |
+
"loss": 0.4698,
|
587 |
+
"step": 710
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 1.85,
|
591 |
+
"learning_rate": 0.0001753846153846154,
|
592 |
+
"loss": 0.4813,
|
593 |
+
"step": 720
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 1.85,
|
597 |
+
"eval_accuracy": 0.7609427609427609,
|
598 |
+
"eval_loss": 0.7190226912498474,
|
599 |
+
"eval_runtime": 32.2305,
|
600 |
+
"eval_samples_per_second": 110.702,
|
601 |
+
"eval_steps_per_second": 13.838,
|
602 |
+
"step": 720
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.87,
|
606 |
+
"learning_rate": 0.00017504273504273505,
|
607 |
+
"loss": 0.5407,
|
608 |
+
"step": 730
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.9,
|
612 |
+
"learning_rate": 0.0001747008547008547,
|
613 |
+
"loss": 0.4137,
|
614 |
+
"step": 740
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.92,
|
618 |
+
"learning_rate": 0.00017435897435897436,
|
619 |
+
"loss": 0.5252,
|
620 |
+
"step": 750
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.95,
|
624 |
+
"learning_rate": 0.00017401709401709402,
|
625 |
+
"loss": 0.5608,
|
626 |
+
"step": 760
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.95,
|
630 |
+
"eval_accuracy": 0.7283950617283951,
|
631 |
+
"eval_loss": 0.7672268748283386,
|
632 |
+
"eval_runtime": 34.3059,
|
633 |
+
"eval_samples_per_second": 104.006,
|
634 |
+
"eval_steps_per_second": 13.001,
|
635 |
+
"step": 760
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 1.97,
|
639 |
+
"learning_rate": 0.00017367521367521368,
|
640 |
+
"loss": 0.4692,
|
641 |
+
"step": 770
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 2.0,
|
645 |
+
"learning_rate": 0.00017333333333333334,
|
646 |
+
"loss": 0.488,
|
647 |
+
"step": 780
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 2.03,
|
651 |
+
"learning_rate": 0.000172991452991453,
|
652 |
+
"loss": 0.3798,
|
653 |
+
"step": 790
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 2.05,
|
657 |
+
"learning_rate": 0.00017264957264957268,
|
658 |
+
"loss": 0.3272,
|
659 |
+
"step": 800
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 2.05,
|
663 |
+
"eval_accuracy": 0.7497194163860831,
|
664 |
+
"eval_loss": 0.7055391073226929,
|
665 |
+
"eval_runtime": 34.4041,
|
666 |
+
"eval_samples_per_second": 103.709,
|
667 |
+
"eval_steps_per_second": 12.964,
|
668 |
+
"step": 800
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.08,
|
672 |
+
"learning_rate": 0.00017230769230769234,
|
673 |
+
"loss": 0.2257,
|
674 |
+
"step": 810
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.1,
|
678 |
+
"learning_rate": 0.000171965811965812,
|
679 |
+
"loss": 0.238,
|
680 |
+
"step": 820
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 2.13,
|
684 |
+
"learning_rate": 0.00017162393162393162,
|
685 |
+
"loss": 0.3225,
|
686 |
+
"step": 830
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 2.15,
|
690 |
+
"learning_rate": 0.00017128205128205128,
|
691 |
+
"loss": 0.2803,
|
692 |
+
"step": 840
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.15,
|
696 |
+
"eval_accuracy": 0.7514029180695847,
|
697 |
+
"eval_loss": 0.7669840455055237,
|
698 |
+
"eval_runtime": 32.953,
|
699 |
+
"eval_samples_per_second": 108.275,
|
700 |
+
"eval_steps_per_second": 13.534,
|
701 |
+
"step": 840
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 2.18,
|
705 |
+
"learning_rate": 0.00017094017094017094,
|
706 |
+
"loss": 0.234,
|
707 |
+
"step": 850
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 2.21,
|
711 |
+
"learning_rate": 0.0001705982905982906,
|
712 |
+
"loss": 0.2201,
|
713 |
+
"step": 860
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 2.23,
|
717 |
+
"learning_rate": 0.00017025641025641026,
|
718 |
+
"loss": 0.4651,
|
719 |
+
"step": 870
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 2.26,
|
723 |
+
"learning_rate": 0.0001699145299145299,
|
724 |
+
"loss": 0.4051,
|
725 |
+
"step": 880
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 2.26,
|
729 |
+
"eval_accuracy": 0.7620650953984287,
|
730 |
+
"eval_loss": 0.691470205783844,
|
731 |
+
"eval_runtime": 37.2444,
|
732 |
+
"eval_samples_per_second": 95.8,
|
733 |
+
"eval_steps_per_second": 11.975,
|
734 |
+
"step": 880
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.28,
|
738 |
+
"learning_rate": 0.00016957264957264957,
|
739 |
+
"loss": 0.3069,
|
740 |
+
"step": 890
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 2.31,
|
744 |
+
"learning_rate": 0.00016923076923076923,
|
745 |
+
"loss": 0.2787,
|
746 |
+
"step": 900
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.33,
|
750 |
+
"learning_rate": 0.00016888888888888889,
|
751 |
+
"loss": 0.2794,
|
752 |
+
"step": 910
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.36,
|
756 |
+
"learning_rate": 0.00016854700854700854,
|
757 |
+
"loss": 0.3436,
|
758 |
+
"step": 920
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.36,
|
762 |
+
"eval_accuracy": 0.7631874298540965,
|
763 |
+
"eval_loss": 0.6948888301849365,
|
764 |
+
"eval_runtime": 32.1442,
|
765 |
+
"eval_samples_per_second": 111.0,
|
766 |
+
"eval_steps_per_second": 13.875,
|
767 |
+
"step": 920
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 2.38,
|
771 |
+
"learning_rate": 0.00016820512820512823,
|
772 |
+
"loss": 0.2964,
|
773 |
+
"step": 930
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 2.41,
|
777 |
+
"learning_rate": 0.00016786324786324789,
|
778 |
+
"loss": 0.1973,
|
779 |
+
"step": 940
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 2.44,
|
783 |
+
"learning_rate": 0.00016752136752136754,
|
784 |
+
"loss": 0.2257,
|
785 |
+
"step": 950
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 2.46,
|
789 |
+
"learning_rate": 0.0001671794871794872,
|
790 |
+
"loss": 0.2759,
|
791 |
+
"step": 960
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 2.46,
|
795 |
+
"eval_accuracy": 0.7356902356902357,
|
796 |
+
"eval_loss": 0.8428576588630676,
|
797 |
+
"eval_runtime": 32.8186,
|
798 |
+
"eval_samples_per_second": 108.719,
|
799 |
+
"eval_steps_per_second": 13.59,
|
800 |
+
"step": 960
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.49,
|
804 |
+
"learning_rate": 0.00016683760683760686,
|
805 |
+
"loss": 0.272,
|
806 |
+
"step": 970
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 2.51,
|
810 |
+
"learning_rate": 0.00016649572649572652,
|
811 |
+
"loss": 0.2721,
|
812 |
+
"step": 980
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 2.54,
|
816 |
+
"learning_rate": 0.00016615384615384617,
|
817 |
+
"loss": 0.1414,
|
818 |
+
"step": 990
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.56,
|
822 |
+
"learning_rate": 0.00016581196581196583,
|
823 |
+
"loss": 0.5024,
|
824 |
+
"step": 1000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 2.56,
|
828 |
+
"eval_accuracy": 0.7502805836139169,
|
829 |
+
"eval_loss": 0.8222711086273193,
|
830 |
+
"eval_runtime": 32.7463,
|
831 |
+
"eval_samples_per_second": 108.959,
|
832 |
+
"eval_steps_per_second": 13.62,
|
833 |
+
"step": 1000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 2.59,
|
837 |
+
"learning_rate": 0.00016547008547008546,
|
838 |
+
"loss": 0.3348,
|
839 |
+
"step": 1010
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 2.62,
|
843 |
+
"learning_rate": 0.00016512820512820512,
|
844 |
+
"loss": 0.3692,
|
845 |
+
"step": 1020
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 2.64,
|
849 |
+
"learning_rate": 0.00016478632478632478,
|
850 |
+
"loss": 0.3981,
|
851 |
+
"step": 1030
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 2.67,
|
855 |
+
"learning_rate": 0.00016444444444444444,
|
856 |
+
"loss": 0.3571,
|
857 |
+
"step": 1040
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 2.67,
|
861 |
+
"eval_accuracy": 0.7289562289562289,
|
862 |
+
"eval_loss": 0.8546615839004517,
|
863 |
+
"eval_runtime": 33.6376,
|
864 |
+
"eval_samples_per_second": 106.072,
|
865 |
+
"eval_steps_per_second": 13.259,
|
866 |
+
"step": 1040
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 2.69,
|
870 |
+
"learning_rate": 0.0001641025641025641,
|
871 |
+
"loss": 0.3647,
|
872 |
+
"step": 1050
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 2.72,
|
876 |
+
"learning_rate": 0.00016376068376068375,
|
877 |
+
"loss": 0.2547,
|
878 |
+
"step": 1060
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 2.74,
|
882 |
+
"learning_rate": 0.00016341880341880344,
|
883 |
+
"loss": 0.3708,
|
884 |
+
"step": 1070
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 2.77,
|
888 |
+
"learning_rate": 0.0001630769230769231,
|
889 |
+
"loss": 0.3197,
|
890 |
+
"step": 1080
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 2.77,
|
894 |
+
"eval_accuracy": 0.754769921436588,
|
895 |
+
"eval_loss": 0.7111819982528687,
|
896 |
+
"eval_runtime": 33.1915,
|
897 |
+
"eval_samples_per_second": 107.497,
|
898 |
+
"eval_steps_per_second": 13.437,
|
899 |
+
"step": 1080
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 2.79,
|
903 |
+
"learning_rate": 0.00016273504273504275,
|
904 |
+
"loss": 0.2805,
|
905 |
+
"step": 1090
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 2.82,
|
909 |
+
"learning_rate": 0.0001623931623931624,
|
910 |
+
"loss": 0.2792,
|
911 |
+
"step": 1100
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 2.85,
|
915 |
+
"learning_rate": 0.00016205128205128207,
|
916 |
+
"loss": 0.3781,
|
917 |
+
"step": 1110
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 2.87,
|
921 |
+
"learning_rate": 0.00016170940170940172,
|
922 |
+
"loss": 0.3872,
|
923 |
+
"step": 1120
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 2.87,
|
927 |
+
"eval_accuracy": 0.7485970819304153,
|
928 |
+
"eval_loss": 0.7666726112365723,
|
929 |
+
"eval_runtime": 33.3793,
|
930 |
+
"eval_samples_per_second": 106.892,
|
931 |
+
"eval_steps_per_second": 13.362,
|
932 |
+
"step": 1120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 2.9,
|
936 |
+
"learning_rate": 0.00016136752136752138,
|
937 |
+
"loss": 0.3489,
|
938 |
+
"step": 1130
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 2.92,
|
942 |
+
"learning_rate": 0.00016102564102564104,
|
943 |
+
"loss": 0.3436,
|
944 |
+
"step": 1140
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 2.95,
|
948 |
+
"learning_rate": 0.0001606837606837607,
|
949 |
+
"loss": 0.2608,
|
950 |
+
"step": 1150
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 2.97,
|
954 |
+
"learning_rate": 0.00016034188034188036,
|
955 |
+
"loss": 0.2699,
|
956 |
+
"step": 1160
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 2.97,
|
960 |
+
"eval_accuracy": 0.7867564534231201,
|
961 |
+
"eval_loss": 0.6604002714157104,
|
962 |
+
"eval_runtime": 42.2756,
|
963 |
+
"eval_samples_per_second": 84.398,
|
964 |
+
"eval_steps_per_second": 10.55,
|
965 |
+
"step": 1160
|
966 |
+
}
|
967 |
+
],
|
968 |
+
"max_steps": 5850,
|
969 |
+
"num_train_epochs": 15,
|
970 |
+
"total_flos": 1.436907983794053e+18,
|
971 |
+
"trial_name": null,
|
972 |
+
"trial_params": null
|
973 |
+
}
|
checkpoint-1160/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:194957c9272212a5dd16465021ce223f9cefe58567f9b9ca890e75d6f7750cde
|
3 |
+
size 3899
|
checkpoint-5840/config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "Brazil",
|
13 |
+
"1": "Canada",
|
14 |
+
"2": "Finland",
|
15 |
+
"3": "Japan",
|
16 |
+
"4": "United-Kingdom",
|
17 |
+
"5": "United_States"
|
18 |
+
},
|
19 |
+
"image_size": 224,
|
20 |
+
"initializer_range": 0.02,
|
21 |
+
"intermediate_size": 3072,
|
22 |
+
"label2id": {
|
23 |
+
"Brazil": "0",
|
24 |
+
"Canada": "1",
|
25 |
+
"Finland": "2",
|
26 |
+
"Japan": "3",
|
27 |
+
"United-Kingdom": "4",
|
28 |
+
"United_States": "5"
|
29 |
+
},
|
30 |
+
"layer_norm_eps": 1e-12,
|
31 |
+
"model_type": "vit",
|
32 |
+
"num_attention_heads": 12,
|
33 |
+
"num_channels": 3,
|
34 |
+
"num_hidden_layers": 12,
|
35 |
+
"patch_size": 16,
|
36 |
+
"problem_type": "single_label_classification",
|
37 |
+
"qkv_bias": true,
|
38 |
+
"torch_dtype": "float32",
|
39 |
+
"transformers_version": "4.31.0"
|
40 |
+
}
|
checkpoint-5840/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bde7a0bf4d257ae44ac48605d2ae3a0a67354ea8b037a597f7064c7cffc45e41
|
3 |
+
size 686537861
|
checkpoint-5840/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": "ViTFeatureExtractor",
|
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-5840/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b39254ce3321347f2fa992e7061fa635851668f8100b4d49561aa48a285de620
|
3 |
+
size 343278253
|
checkpoint-5840/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:67beb3ce02205d9d3840c973461d205613e37446b415453d1436cf577351b657
|
3 |
+
size 13617
|
checkpoint-5840/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33a41b91166721500270623b46bc8ee3fa73aeadd054449d85a1e03325056e11
|
3 |
+
size 627
|
checkpoint-5840/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-5840/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:194957c9272212a5dd16465021ce223f9cefe58567f9b9ca890e75d6f7750cde
|
3 |
+
size 3899
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343278253
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da704a6cb51e648486e5245ffa315bac0c7f02bb9187d11294f3945a898fb971
|
3 |
size 343278253
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second": 10.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"total_flos": 7.243048468628582e+18,
|
4 |
+
"train_loss": 0.1559911989340654,
|
5 |
+
"train_runtime": 9254.6234,
|
6 |
+
"train_samples_per_second": 10.114,
|
7 |
+
"train_steps_per_second": 0.632
|
8 |
}
|
trainer_state.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3899
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:194957c9272212a5dd16465021ce223f9cefe58567f9b9ca890e75d6f7750cde
|
3 |
size 3899
|