Upload folder using huggingface_hub
#1
by
satwikapaul
- opened
- all_results.json +8 -0
- checkpoint-600/config.json +86 -0
- checkpoint-600/optimizer.pt +3 -0
- checkpoint-600/preprocessor_config.json +22 -0
- checkpoint-600/pytorch_model.bin +3 -0
- checkpoint-600/rng_state.pth +3 -0
- checkpoint-600/scheduler.pt +3 -0
- checkpoint-600/trainer_state.json +511 -0
- checkpoint-600/training_args.bin +3 -0
- checkpoint-640/config.json +86 -0
- checkpoint-640/optimizer.pt +3 -0
- checkpoint-640/preprocessor_config.json +22 -0
- checkpoint-640/pytorch_model.bin +3 -0
- checkpoint-640/rng_state.pth +3 -0
- checkpoint-640/scheduler.pt +3 -0
- checkpoint-640/trainer_state.json +544 -0
- checkpoint-640/training_args.bin +3 -0
- config.json +86 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +553 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"total_flos": 1.1843641391623373e+18,
|
4 |
+
"train_loss": 0.6315841894596815,
|
5 |
+
"train_runtime": 473.5366,
|
6 |
+
"train_samples_per_second": 32.268,
|
7 |
+
"train_steps_per_second": 1.352
|
8 |
+
}
|
checkpoint-600/config.json
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "a",
|
13 |
+
"1": "b",
|
14 |
+
"10": "j",
|
15 |
+
"11": "k",
|
16 |
+
"12": "l",
|
17 |
+
"13": "m",
|
18 |
+
"14": "n",
|
19 |
+
"15": "o",
|
20 |
+
"16": "p",
|
21 |
+
"17": "period",
|
22 |
+
"18": "q",
|
23 |
+
"19": "question%20mark",
|
24 |
+
"2": "c",
|
25 |
+
"20": "r",
|
26 |
+
"21": "s",
|
27 |
+
"22": "t",
|
28 |
+
"23": "u",
|
29 |
+
"24": "v",
|
30 |
+
"25": "w",
|
31 |
+
"26": "x",
|
32 |
+
"27": "y",
|
33 |
+
"28": "z",
|
34 |
+
"3": "capital",
|
35 |
+
"4": "d",
|
36 |
+
"5": "e",
|
37 |
+
"6": "f",
|
38 |
+
"7": "g",
|
39 |
+
"8": "h",
|
40 |
+
"9": "i"
|
41 |
+
},
|
42 |
+
"image_size": 224,
|
43 |
+
"initializer_range": 0.02,
|
44 |
+
"intermediate_size": 3072,
|
45 |
+
"label2id": {
|
46 |
+
"a": "0",
|
47 |
+
"b": "1",
|
48 |
+
"c": "2",
|
49 |
+
"capital": "3",
|
50 |
+
"d": "4",
|
51 |
+
"e": "5",
|
52 |
+
"f": "6",
|
53 |
+
"g": "7",
|
54 |
+
"h": "8",
|
55 |
+
"i": "9",
|
56 |
+
"j": "10",
|
57 |
+
"k": "11",
|
58 |
+
"l": "12",
|
59 |
+
"m": "13",
|
60 |
+
"n": "14",
|
61 |
+
"o": "15",
|
62 |
+
"p": "16",
|
63 |
+
"period": "17",
|
64 |
+
"q": "18",
|
65 |
+
"question%20mark": "19",
|
66 |
+
"r": "20",
|
67 |
+
"s": "21",
|
68 |
+
"t": "22",
|
69 |
+
"u": "23",
|
70 |
+
"v": "24",
|
71 |
+
"w": "25",
|
72 |
+
"x": "26",
|
73 |
+
"y": "27",
|
74 |
+
"z": "28"
|
75 |
+
},
|
76 |
+
"layer_norm_eps": 1e-12,
|
77 |
+
"model_type": "vit",
|
78 |
+
"num_attention_heads": 12,
|
79 |
+
"num_channels": 3,
|
80 |
+
"num_hidden_layers": 12,
|
81 |
+
"patch_size": 16,
|
82 |
+
"problem_type": "single_label_classification",
|
83 |
+
"qkv_bias": true,
|
84 |
+
"torch_dtype": "float32",
|
85 |
+
"transformers_version": "4.30.2"
|
86 |
+
}
|
checkpoint-600/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:53c27f65a8b8e3f973f44c8f7a901b0645535146d1ea086bc93096bbede8ca2b
|
3 |
+
size 686684933
|
checkpoint-600/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-600/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0c93165ce5edf95f1c1cfa9c27411c5283f28dcf3e706a4405e9e676deba2d58
|
3 |
+
size 343351725
|
checkpoint-600/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4762ca4e860d7e0ff02cdfb0b71f4f951fb1b0017c35580e28b494788bd64933
|
3 |
+
size 14575
|
checkpoint-600/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a3a408b28df808ac711fe39d83558d7ce6c645059f2732c291ddeeab1a5c7ee
|
3 |
+
size 627
|
checkpoint-600/trainer_state.json
ADDED
@@ -0,0 +1,511 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.16766877472400665,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-560",
|
4 |
+
"epoch": 18.75,
|
5 |
+
"global_step": 600,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.31,
|
12 |
+
"learning_rate": 9.84375e-05,
|
13 |
+
"loss": 3.3252,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.62,
|
18 |
+
"learning_rate": 9.687500000000001e-05,
|
19 |
+
"loss": 3.217,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.94,
|
24 |
+
"learning_rate": 9.53125e-05,
|
25 |
+
"loss": 3.0799,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.25,
|
30 |
+
"learning_rate": 9.375e-05,
|
31 |
+
"loss": 2.8394,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.25,
|
36 |
+
"eval_accuracy": 0.4815668202764977,
|
37 |
+
"eval_loss": 2.7347912788391113,
|
38 |
+
"eval_runtime": 5.6305,
|
39 |
+
"eval_samples_per_second": 77.081,
|
40 |
+
"eval_steps_per_second": 9.768,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.56,
|
45 |
+
"learning_rate": 9.21875e-05,
|
46 |
+
"loss": 2.598,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.88,
|
51 |
+
"learning_rate": 9.062500000000001e-05,
|
52 |
+
"loss": 2.417,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 2.19,
|
57 |
+
"learning_rate": 8.90625e-05,
|
58 |
+
"loss": 2.111,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 2.5,
|
63 |
+
"learning_rate": 8.75e-05,
|
64 |
+
"loss": 1.9174,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.5,
|
69 |
+
"eval_accuracy": 0.8963133640552995,
|
70 |
+
"eval_loss": 1.8127654790878296,
|
71 |
+
"eval_runtime": 5.3595,
|
72 |
+
"eval_samples_per_second": 80.978,
|
73 |
+
"eval_steps_per_second": 10.262,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.81,
|
78 |
+
"learning_rate": 8.593750000000001e-05,
|
79 |
+
"loss": 1.666,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.12,
|
84 |
+
"learning_rate": 8.4375e-05,
|
85 |
+
"loss": 1.5159,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 3.44,
|
90 |
+
"learning_rate": 8.28125e-05,
|
91 |
+
"loss": 1.3105,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.75,
|
96 |
+
"learning_rate": 8.125000000000001e-05,
|
97 |
+
"loss": 1.1859,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.75,
|
102 |
+
"eval_accuracy": 0.9470046082949308,
|
103 |
+
"eval_loss": 1.1414676904678345,
|
104 |
+
"eval_runtime": 5.3582,
|
105 |
+
"eval_samples_per_second": 80.997,
|
106 |
+
"eval_steps_per_second": 10.265,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 4.06,
|
111 |
+
"learning_rate": 7.96875e-05,
|
112 |
+
"loss": 1.0525,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.38,
|
117 |
+
"learning_rate": 7.8125e-05,
|
118 |
+
"loss": 0.9085,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 4.69,
|
123 |
+
"learning_rate": 7.65625e-05,
|
124 |
+
"loss": 0.8207,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 5.0,
|
129 |
+
"learning_rate": 7.500000000000001e-05,
|
130 |
+
"loss": 0.7413,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 5.0,
|
135 |
+
"eval_accuracy": 0.9654377880184332,
|
136 |
+
"eval_loss": 0.7720305919647217,
|
137 |
+
"eval_runtime": 5.6625,
|
138 |
+
"eval_samples_per_second": 76.645,
|
139 |
+
"eval_steps_per_second": 9.713,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 5.31,
|
144 |
+
"learning_rate": 7.34375e-05,
|
145 |
+
"loss": 0.6334,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 5.62,
|
150 |
+
"learning_rate": 7.1875e-05,
|
151 |
+
"loss": 0.6058,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 5.94,
|
156 |
+
"learning_rate": 7.031250000000001e-05,
|
157 |
+
"loss": 0.5319,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 6.25,
|
162 |
+
"learning_rate": 6.875e-05,
|
163 |
+
"loss": 0.4761,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.25,
|
168 |
+
"eval_accuracy": 0.9838709677419355,
|
169 |
+
"eval_loss": 0.5084273815155029,
|
170 |
+
"eval_runtime": 5.4846,
|
171 |
+
"eval_samples_per_second": 79.131,
|
172 |
+
"eval_steps_per_second": 10.028,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 6.56,
|
177 |
+
"learning_rate": 6.71875e-05,
|
178 |
+
"loss": 0.4109,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 6.88,
|
183 |
+
"learning_rate": 6.562500000000001e-05,
|
184 |
+
"loss": 0.3707,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 7.19,
|
189 |
+
"learning_rate": 6.40625e-05,
|
190 |
+
"loss": 0.3536,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.5,
|
195 |
+
"learning_rate": 6.25e-05,
|
196 |
+
"loss": 0.3108,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 7.5,
|
201 |
+
"eval_accuracy": 0.9746543778801844,
|
202 |
+
"eval_loss": 0.36055463552474976,
|
203 |
+
"eval_runtime": 5.6696,
|
204 |
+
"eval_samples_per_second": 76.549,
|
205 |
+
"eval_steps_per_second": 9.701,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 7.81,
|
210 |
+
"learning_rate": 6.0937500000000004e-05,
|
211 |
+
"loss": 0.2789,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 8.12,
|
216 |
+
"learning_rate": 5.9375e-05,
|
217 |
+
"loss": 0.2905,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 8.44,
|
222 |
+
"learning_rate": 5.78125e-05,
|
223 |
+
"loss": 0.2462,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 8.75,
|
228 |
+
"learning_rate": 5.6250000000000005e-05,
|
229 |
+
"loss": 0.251,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 8.75,
|
234 |
+
"eval_accuracy": 0.9769585253456221,
|
235 |
+
"eval_loss": 0.2958492040634155,
|
236 |
+
"eval_runtime": 7.6402,
|
237 |
+
"eval_samples_per_second": 56.805,
|
238 |
+
"eval_steps_per_second": 7.199,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 9.06,
|
243 |
+
"learning_rate": 5.46875e-05,
|
244 |
+
"loss": 0.2171,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 9.38,
|
249 |
+
"learning_rate": 5.3125000000000004e-05,
|
250 |
+
"loss": 0.2064,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 9.69,
|
255 |
+
"learning_rate": 5.15625e-05,
|
256 |
+
"loss": 0.2116,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.0,
|
261 |
+
"learning_rate": 5e-05,
|
262 |
+
"loss": 0.1896,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 10.0,
|
267 |
+
"eval_accuracy": 0.9769585253456221,
|
268 |
+
"eval_loss": 0.24788345396518707,
|
269 |
+
"eval_runtime": 5.2479,
|
270 |
+
"eval_samples_per_second": 82.699,
|
271 |
+
"eval_steps_per_second": 10.48,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 10.31,
|
276 |
+
"learning_rate": 4.8437500000000005e-05,
|
277 |
+
"loss": 0.1783,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 10.62,
|
282 |
+
"learning_rate": 4.6875e-05,
|
283 |
+
"loss": 0.1859,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 10.94,
|
288 |
+
"learning_rate": 4.5312500000000004e-05,
|
289 |
+
"loss": 0.1705,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 11.25,
|
294 |
+
"learning_rate": 4.375e-05,
|
295 |
+
"loss": 0.1659,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 11.25,
|
300 |
+
"eval_accuracy": 0.9838709677419355,
|
301 |
+
"eval_loss": 0.23752211034297943,
|
302 |
+
"eval_runtime": 5.7417,
|
303 |
+
"eval_samples_per_second": 75.588,
|
304 |
+
"eval_steps_per_second": 9.579,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 11.56,
|
309 |
+
"learning_rate": 4.21875e-05,
|
310 |
+
"loss": 0.1753,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 11.88,
|
315 |
+
"learning_rate": 4.0625000000000005e-05,
|
316 |
+
"loss": 0.1509,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 12.19,
|
321 |
+
"learning_rate": 3.90625e-05,
|
322 |
+
"loss": 0.1447,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 12.5,
|
327 |
+
"learning_rate": 3.7500000000000003e-05,
|
328 |
+
"loss": 0.1401,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 12.5,
|
333 |
+
"eval_accuracy": 0.9792626728110599,
|
334 |
+
"eval_loss": 0.20333679020404816,
|
335 |
+
"eval_runtime": 5.2814,
|
336 |
+
"eval_samples_per_second": 82.175,
|
337 |
+
"eval_steps_per_second": 10.414,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 12.81,
|
342 |
+
"learning_rate": 3.59375e-05,
|
343 |
+
"loss": 0.1508,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 13.12,
|
348 |
+
"learning_rate": 3.4375e-05,
|
349 |
+
"loss": 0.1364,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 13.44,
|
354 |
+
"learning_rate": 3.2812500000000005e-05,
|
355 |
+
"loss": 0.1415,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 13.75,
|
360 |
+
"learning_rate": 3.125e-05,
|
361 |
+
"loss": 0.131,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 13.75,
|
366 |
+
"eval_accuracy": 0.9792626728110599,
|
367 |
+
"eval_loss": 0.19693893194198608,
|
368 |
+
"eval_runtime": 5.0279,
|
369 |
+
"eval_samples_per_second": 86.318,
|
370 |
+
"eval_steps_per_second": 10.939,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 14.06,
|
375 |
+
"learning_rate": 2.96875e-05,
|
376 |
+
"loss": 0.1264,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 14.38,
|
381 |
+
"learning_rate": 2.8125000000000003e-05,
|
382 |
+
"loss": 0.1376,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 14.69,
|
387 |
+
"learning_rate": 2.6562500000000002e-05,
|
388 |
+
"loss": 0.1211,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 15.0,
|
393 |
+
"learning_rate": 2.5e-05,
|
394 |
+
"loss": 0.1162,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 15.0,
|
399 |
+
"eval_accuracy": 0.9792626728110599,
|
400 |
+
"eval_loss": 0.1791529506444931,
|
401 |
+
"eval_runtime": 4.2132,
|
402 |
+
"eval_samples_per_second": 103.009,
|
403 |
+
"eval_steps_per_second": 13.054,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 15.31,
|
408 |
+
"learning_rate": 2.34375e-05,
|
409 |
+
"loss": 0.1285,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 15.62,
|
414 |
+
"learning_rate": 2.1875e-05,
|
415 |
+
"loss": 0.1136,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 15.94,
|
420 |
+
"learning_rate": 2.0312500000000002e-05,
|
421 |
+
"loss": 0.1117,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 16.25,
|
426 |
+
"learning_rate": 1.8750000000000002e-05,
|
427 |
+
"loss": 0.11,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 16.25,
|
432 |
+
"eval_accuracy": 0.9792626728110599,
|
433 |
+
"eval_loss": 0.17193575203418732,
|
434 |
+
"eval_runtime": 4.2988,
|
435 |
+
"eval_samples_per_second": 100.957,
|
436 |
+
"eval_steps_per_second": 12.794,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 16.56,
|
441 |
+
"learning_rate": 1.71875e-05,
|
442 |
+
"loss": 0.1087,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 16.88,
|
447 |
+
"learning_rate": 1.5625e-05,
|
448 |
+
"loss": 0.1065,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 17.19,
|
453 |
+
"learning_rate": 1.4062500000000001e-05,
|
454 |
+
"loss": 0.1207,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 17.5,
|
459 |
+
"learning_rate": 1.25e-05,
|
460 |
+
"loss": 0.1056,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 17.5,
|
465 |
+
"eval_accuracy": 0.9792626728110599,
|
466 |
+
"eval_loss": 0.16766877472400665,
|
467 |
+
"eval_runtime": 5.7239,
|
468 |
+
"eval_samples_per_second": 75.823,
|
469 |
+
"eval_steps_per_second": 9.609,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 17.81,
|
474 |
+
"learning_rate": 1.09375e-05,
|
475 |
+
"loss": 0.1051,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 18.12,
|
480 |
+
"learning_rate": 9.375000000000001e-06,
|
481 |
+
"loss": 0.1148,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 18.44,
|
486 |
+
"learning_rate": 7.8125e-06,
|
487 |
+
"loss": 0.1043,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 18.75,
|
492 |
+
"learning_rate": 6.25e-06,
|
493 |
+
"loss": 0.1128,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 18.75,
|
498 |
+
"eval_accuracy": 0.9723502304147466,
|
499 |
+
"eval_loss": 0.17274537682533264,
|
500 |
+
"eval_runtime": 5.5073,
|
501 |
+
"eval_samples_per_second": 78.805,
|
502 |
+
"eval_steps_per_second": 9.987,
|
503 |
+
"step": 600
|
504 |
+
}
|
505 |
+
],
|
506 |
+
"max_steps": 640,
|
507 |
+
"num_train_epochs": 20,
|
508 |
+
"total_flos": 1.1105739126909665e+18,
|
509 |
+
"trial_name": null,
|
510 |
+
"trial_params": null
|
511 |
+
}
|
checkpoint-600/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e00db2a0e0945cff474f615b599cebc0ca0436459ecf509b6097643ca635938b
|
3 |
+
size 3899
|
checkpoint-640/config.json
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "a",
|
13 |
+
"1": "b",
|
14 |
+
"10": "j",
|
15 |
+
"11": "k",
|
16 |
+
"12": "l",
|
17 |
+
"13": "m",
|
18 |
+
"14": "n",
|
19 |
+
"15": "o",
|
20 |
+
"16": "p",
|
21 |
+
"17": "period",
|
22 |
+
"18": "q",
|
23 |
+
"19": "question%20mark",
|
24 |
+
"2": "c",
|
25 |
+
"20": "r",
|
26 |
+
"21": "s",
|
27 |
+
"22": "t",
|
28 |
+
"23": "u",
|
29 |
+
"24": "v",
|
30 |
+
"25": "w",
|
31 |
+
"26": "x",
|
32 |
+
"27": "y",
|
33 |
+
"28": "z",
|
34 |
+
"3": "capital",
|
35 |
+
"4": "d",
|
36 |
+
"5": "e",
|
37 |
+
"6": "f",
|
38 |
+
"7": "g",
|
39 |
+
"8": "h",
|
40 |
+
"9": "i"
|
41 |
+
},
|
42 |
+
"image_size": 224,
|
43 |
+
"initializer_range": 0.02,
|
44 |
+
"intermediate_size": 3072,
|
45 |
+
"label2id": {
|
46 |
+
"a": "0",
|
47 |
+
"b": "1",
|
48 |
+
"c": "2",
|
49 |
+
"capital": "3",
|
50 |
+
"d": "4",
|
51 |
+
"e": "5",
|
52 |
+
"f": "6",
|
53 |
+
"g": "7",
|
54 |
+
"h": "8",
|
55 |
+
"i": "9",
|
56 |
+
"j": "10",
|
57 |
+
"k": "11",
|
58 |
+
"l": "12",
|
59 |
+
"m": "13",
|
60 |
+
"n": "14",
|
61 |
+
"o": "15",
|
62 |
+
"p": "16",
|
63 |
+
"period": "17",
|
64 |
+
"q": "18",
|
65 |
+
"question%20mark": "19",
|
66 |
+
"r": "20",
|
67 |
+
"s": "21",
|
68 |
+
"t": "22",
|
69 |
+
"u": "23",
|
70 |
+
"v": "24",
|
71 |
+
"w": "25",
|
72 |
+
"x": "26",
|
73 |
+
"y": "27",
|
74 |
+
"z": "28"
|
75 |
+
},
|
76 |
+
"layer_norm_eps": 1e-12,
|
77 |
+
"model_type": "vit",
|
78 |
+
"num_attention_heads": 12,
|
79 |
+
"num_channels": 3,
|
80 |
+
"num_hidden_layers": 12,
|
81 |
+
"patch_size": 16,
|
82 |
+
"problem_type": "single_label_classification",
|
83 |
+
"qkv_bias": true,
|
84 |
+
"torch_dtype": "float32",
|
85 |
+
"transformers_version": "4.30.2"
|
86 |
+
}
|
checkpoint-640/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a26cdc0df0dea9a25116e0dfff3e12c741831cea206bdc214c326b5d25bee368
|
3 |
+
size 686684933
|
checkpoint-640/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-640/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73148133251e579307cedbc6460e628f9c60344cf1f6bcc16883d36df666f0d1
|
3 |
+
size 343351725
|
checkpoint-640/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:adb3563d7561e012ae0c950df619e9ba01000208cd5ba07786142cc2783ee2a7
|
3 |
+
size 14575
|
checkpoint-640/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc0a2c689052c6bc67cea049e5102d4499d32a5eaf611948ee55d50a010034aa
|
3 |
+
size 627
|
checkpoint-640/trainer_state.json
ADDED
@@ -0,0 +1,544 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.16443897783756256,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-640",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 640,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.31,
|
12 |
+
"learning_rate": 9.84375e-05,
|
13 |
+
"loss": 3.3252,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.62,
|
18 |
+
"learning_rate": 9.687500000000001e-05,
|
19 |
+
"loss": 3.217,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.94,
|
24 |
+
"learning_rate": 9.53125e-05,
|
25 |
+
"loss": 3.0799,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.25,
|
30 |
+
"learning_rate": 9.375e-05,
|
31 |
+
"loss": 2.8394,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.25,
|
36 |
+
"eval_accuracy": 0.4815668202764977,
|
37 |
+
"eval_loss": 2.7347912788391113,
|
38 |
+
"eval_runtime": 5.6305,
|
39 |
+
"eval_samples_per_second": 77.081,
|
40 |
+
"eval_steps_per_second": 9.768,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.56,
|
45 |
+
"learning_rate": 9.21875e-05,
|
46 |
+
"loss": 2.598,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.88,
|
51 |
+
"learning_rate": 9.062500000000001e-05,
|
52 |
+
"loss": 2.417,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 2.19,
|
57 |
+
"learning_rate": 8.90625e-05,
|
58 |
+
"loss": 2.111,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 2.5,
|
63 |
+
"learning_rate": 8.75e-05,
|
64 |
+
"loss": 1.9174,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.5,
|
69 |
+
"eval_accuracy": 0.8963133640552995,
|
70 |
+
"eval_loss": 1.8127654790878296,
|
71 |
+
"eval_runtime": 5.3595,
|
72 |
+
"eval_samples_per_second": 80.978,
|
73 |
+
"eval_steps_per_second": 10.262,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.81,
|
78 |
+
"learning_rate": 8.593750000000001e-05,
|
79 |
+
"loss": 1.666,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.12,
|
84 |
+
"learning_rate": 8.4375e-05,
|
85 |
+
"loss": 1.5159,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 3.44,
|
90 |
+
"learning_rate": 8.28125e-05,
|
91 |
+
"loss": 1.3105,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.75,
|
96 |
+
"learning_rate": 8.125000000000001e-05,
|
97 |
+
"loss": 1.1859,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.75,
|
102 |
+
"eval_accuracy": 0.9470046082949308,
|
103 |
+
"eval_loss": 1.1414676904678345,
|
104 |
+
"eval_runtime": 5.3582,
|
105 |
+
"eval_samples_per_second": 80.997,
|
106 |
+
"eval_steps_per_second": 10.265,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 4.06,
|
111 |
+
"learning_rate": 7.96875e-05,
|
112 |
+
"loss": 1.0525,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.38,
|
117 |
+
"learning_rate": 7.8125e-05,
|
118 |
+
"loss": 0.9085,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 4.69,
|
123 |
+
"learning_rate": 7.65625e-05,
|
124 |
+
"loss": 0.8207,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 5.0,
|
129 |
+
"learning_rate": 7.500000000000001e-05,
|
130 |
+
"loss": 0.7413,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 5.0,
|
135 |
+
"eval_accuracy": 0.9654377880184332,
|
136 |
+
"eval_loss": 0.7720305919647217,
|
137 |
+
"eval_runtime": 5.6625,
|
138 |
+
"eval_samples_per_second": 76.645,
|
139 |
+
"eval_steps_per_second": 9.713,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 5.31,
|
144 |
+
"learning_rate": 7.34375e-05,
|
145 |
+
"loss": 0.6334,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 5.62,
|
150 |
+
"learning_rate": 7.1875e-05,
|
151 |
+
"loss": 0.6058,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 5.94,
|
156 |
+
"learning_rate": 7.031250000000001e-05,
|
157 |
+
"loss": 0.5319,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 6.25,
|
162 |
+
"learning_rate": 6.875e-05,
|
163 |
+
"loss": 0.4761,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.25,
|
168 |
+
"eval_accuracy": 0.9838709677419355,
|
169 |
+
"eval_loss": 0.5084273815155029,
|
170 |
+
"eval_runtime": 5.4846,
|
171 |
+
"eval_samples_per_second": 79.131,
|
172 |
+
"eval_steps_per_second": 10.028,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 6.56,
|
177 |
+
"learning_rate": 6.71875e-05,
|
178 |
+
"loss": 0.4109,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 6.88,
|
183 |
+
"learning_rate": 6.562500000000001e-05,
|
184 |
+
"loss": 0.3707,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 7.19,
|
189 |
+
"learning_rate": 6.40625e-05,
|
190 |
+
"loss": 0.3536,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.5,
|
195 |
+
"learning_rate": 6.25e-05,
|
196 |
+
"loss": 0.3108,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 7.5,
|
201 |
+
"eval_accuracy": 0.9746543778801844,
|
202 |
+
"eval_loss": 0.36055463552474976,
|
203 |
+
"eval_runtime": 5.6696,
|
204 |
+
"eval_samples_per_second": 76.549,
|
205 |
+
"eval_steps_per_second": 9.701,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 7.81,
|
210 |
+
"learning_rate": 6.0937500000000004e-05,
|
211 |
+
"loss": 0.2789,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 8.12,
|
216 |
+
"learning_rate": 5.9375e-05,
|
217 |
+
"loss": 0.2905,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 8.44,
|
222 |
+
"learning_rate": 5.78125e-05,
|
223 |
+
"loss": 0.2462,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 8.75,
|
228 |
+
"learning_rate": 5.6250000000000005e-05,
|
229 |
+
"loss": 0.251,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 8.75,
|
234 |
+
"eval_accuracy": 0.9769585253456221,
|
235 |
+
"eval_loss": 0.2958492040634155,
|
236 |
+
"eval_runtime": 7.6402,
|
237 |
+
"eval_samples_per_second": 56.805,
|
238 |
+
"eval_steps_per_second": 7.199,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 9.06,
|
243 |
+
"learning_rate": 5.46875e-05,
|
244 |
+
"loss": 0.2171,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 9.38,
|
249 |
+
"learning_rate": 5.3125000000000004e-05,
|
250 |
+
"loss": 0.2064,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 9.69,
|
255 |
+
"learning_rate": 5.15625e-05,
|
256 |
+
"loss": 0.2116,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.0,
|
261 |
+
"learning_rate": 5e-05,
|
262 |
+
"loss": 0.1896,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 10.0,
|
267 |
+
"eval_accuracy": 0.9769585253456221,
|
268 |
+
"eval_loss": 0.24788345396518707,
|
269 |
+
"eval_runtime": 5.2479,
|
270 |
+
"eval_samples_per_second": 82.699,
|
271 |
+
"eval_steps_per_second": 10.48,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 10.31,
|
276 |
+
"learning_rate": 4.8437500000000005e-05,
|
277 |
+
"loss": 0.1783,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 10.62,
|
282 |
+
"learning_rate": 4.6875e-05,
|
283 |
+
"loss": 0.1859,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 10.94,
|
288 |
+
"learning_rate": 4.5312500000000004e-05,
|
289 |
+
"loss": 0.1705,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 11.25,
|
294 |
+
"learning_rate": 4.375e-05,
|
295 |
+
"loss": 0.1659,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 11.25,
|
300 |
+
"eval_accuracy": 0.9838709677419355,
|
301 |
+
"eval_loss": 0.23752211034297943,
|
302 |
+
"eval_runtime": 5.7417,
|
303 |
+
"eval_samples_per_second": 75.588,
|
304 |
+
"eval_steps_per_second": 9.579,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 11.56,
|
309 |
+
"learning_rate": 4.21875e-05,
|
310 |
+
"loss": 0.1753,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 11.88,
|
315 |
+
"learning_rate": 4.0625000000000005e-05,
|
316 |
+
"loss": 0.1509,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 12.19,
|
321 |
+
"learning_rate": 3.90625e-05,
|
322 |
+
"loss": 0.1447,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 12.5,
|
327 |
+
"learning_rate": 3.7500000000000003e-05,
|
328 |
+
"loss": 0.1401,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 12.5,
|
333 |
+
"eval_accuracy": 0.9792626728110599,
|
334 |
+
"eval_loss": 0.20333679020404816,
|
335 |
+
"eval_runtime": 5.2814,
|
336 |
+
"eval_samples_per_second": 82.175,
|
337 |
+
"eval_steps_per_second": 10.414,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 12.81,
|
342 |
+
"learning_rate": 3.59375e-05,
|
343 |
+
"loss": 0.1508,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 13.12,
|
348 |
+
"learning_rate": 3.4375e-05,
|
349 |
+
"loss": 0.1364,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 13.44,
|
354 |
+
"learning_rate": 3.2812500000000005e-05,
|
355 |
+
"loss": 0.1415,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 13.75,
|
360 |
+
"learning_rate": 3.125e-05,
|
361 |
+
"loss": 0.131,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 13.75,
|
366 |
+
"eval_accuracy": 0.9792626728110599,
|
367 |
+
"eval_loss": 0.19693893194198608,
|
368 |
+
"eval_runtime": 5.0279,
|
369 |
+
"eval_samples_per_second": 86.318,
|
370 |
+
"eval_steps_per_second": 10.939,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 14.06,
|
375 |
+
"learning_rate": 2.96875e-05,
|
376 |
+
"loss": 0.1264,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 14.38,
|
381 |
+
"learning_rate": 2.8125000000000003e-05,
|
382 |
+
"loss": 0.1376,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 14.69,
|
387 |
+
"learning_rate": 2.6562500000000002e-05,
|
388 |
+
"loss": 0.1211,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 15.0,
|
393 |
+
"learning_rate": 2.5e-05,
|
394 |
+
"loss": 0.1162,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 15.0,
|
399 |
+
"eval_accuracy": 0.9792626728110599,
|
400 |
+
"eval_loss": 0.1791529506444931,
|
401 |
+
"eval_runtime": 4.2132,
|
402 |
+
"eval_samples_per_second": 103.009,
|
403 |
+
"eval_steps_per_second": 13.054,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 15.31,
|
408 |
+
"learning_rate": 2.34375e-05,
|
409 |
+
"loss": 0.1285,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 15.62,
|
414 |
+
"learning_rate": 2.1875e-05,
|
415 |
+
"loss": 0.1136,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 15.94,
|
420 |
+
"learning_rate": 2.0312500000000002e-05,
|
421 |
+
"loss": 0.1117,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 16.25,
|
426 |
+
"learning_rate": 1.8750000000000002e-05,
|
427 |
+
"loss": 0.11,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 16.25,
|
432 |
+
"eval_accuracy": 0.9792626728110599,
|
433 |
+
"eval_loss": 0.17193575203418732,
|
434 |
+
"eval_runtime": 4.2988,
|
435 |
+
"eval_samples_per_second": 100.957,
|
436 |
+
"eval_steps_per_second": 12.794,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 16.56,
|
441 |
+
"learning_rate": 1.71875e-05,
|
442 |
+
"loss": 0.1087,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 16.88,
|
447 |
+
"learning_rate": 1.5625e-05,
|
448 |
+
"loss": 0.1065,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 17.19,
|
453 |
+
"learning_rate": 1.4062500000000001e-05,
|
454 |
+
"loss": 0.1207,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 17.5,
|
459 |
+
"learning_rate": 1.25e-05,
|
460 |
+
"loss": 0.1056,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 17.5,
|
465 |
+
"eval_accuracy": 0.9792626728110599,
|
466 |
+
"eval_loss": 0.16766877472400665,
|
467 |
+
"eval_runtime": 5.7239,
|
468 |
+
"eval_samples_per_second": 75.823,
|
469 |
+
"eval_steps_per_second": 9.609,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 17.81,
|
474 |
+
"learning_rate": 1.09375e-05,
|
475 |
+
"loss": 0.1051,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 18.12,
|
480 |
+
"learning_rate": 9.375000000000001e-06,
|
481 |
+
"loss": 0.1148,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 18.44,
|
486 |
+
"learning_rate": 7.8125e-06,
|
487 |
+
"loss": 0.1043,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 18.75,
|
492 |
+
"learning_rate": 6.25e-06,
|
493 |
+
"loss": 0.1128,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 18.75,
|
498 |
+
"eval_accuracy": 0.9723502304147466,
|
499 |
+
"eval_loss": 0.17274537682533264,
|
500 |
+
"eval_runtime": 5.5073,
|
501 |
+
"eval_samples_per_second": 78.805,
|
502 |
+
"eval_steps_per_second": 9.987,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 19.06,
|
507 |
+
"learning_rate": 4.6875000000000004e-06,
|
508 |
+
"loss": 0.102,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 19.38,
|
513 |
+
"learning_rate": 3.125e-06,
|
514 |
+
"loss": 0.1028,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 19.69,
|
519 |
+
"learning_rate": 1.5625e-06,
|
520 |
+
"loss": 0.1096,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 20.0,
|
525 |
+
"learning_rate": 0.0,
|
526 |
+
"loss": 0.1018,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 20.0,
|
531 |
+
"eval_accuracy": 0.9792626728110599,
|
532 |
+
"eval_loss": 0.16443897783756256,
|
533 |
+
"eval_runtime": 4.9159,
|
534 |
+
"eval_samples_per_second": 88.285,
|
535 |
+
"eval_steps_per_second": 11.188,
|
536 |
+
"step": 640
|
537 |
+
}
|
538 |
+
],
|
539 |
+
"max_steps": 640,
|
540 |
+
"num_train_epochs": 20,
|
541 |
+
"total_flos": 1.1843641391623373e+18,
|
542 |
+
"trial_name": null,
|
543 |
+
"trial_params": null
|
544 |
+
}
|
checkpoint-640/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e00db2a0e0945cff474f615b599cebc0ca0436459ecf509b6097643ca635938b
|
3 |
+
size 3899
|
config.json
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "a",
|
13 |
+
"1": "b",
|
14 |
+
"10": "j",
|
15 |
+
"11": "k",
|
16 |
+
"12": "l",
|
17 |
+
"13": "m",
|
18 |
+
"14": "n",
|
19 |
+
"15": "o",
|
20 |
+
"16": "p",
|
21 |
+
"17": "period",
|
22 |
+
"18": "q",
|
23 |
+
"19": "question%20mark",
|
24 |
+
"2": "c",
|
25 |
+
"20": "r",
|
26 |
+
"21": "s",
|
27 |
+
"22": "t",
|
28 |
+
"23": "u",
|
29 |
+
"24": "v",
|
30 |
+
"25": "w",
|
31 |
+
"26": "x",
|
32 |
+
"27": "y",
|
33 |
+
"28": "z",
|
34 |
+
"3": "capital",
|
35 |
+
"4": "d",
|
36 |
+
"5": "e",
|
37 |
+
"6": "f",
|
38 |
+
"7": "g",
|
39 |
+
"8": "h",
|
40 |
+
"9": "i"
|
41 |
+
},
|
42 |
+
"image_size": 224,
|
43 |
+
"initializer_range": 0.02,
|
44 |
+
"intermediate_size": 3072,
|
45 |
+
"label2id": {
|
46 |
+
"a": "0",
|
47 |
+
"b": "1",
|
48 |
+
"c": "2",
|
49 |
+
"capital": "3",
|
50 |
+
"d": "4",
|
51 |
+
"e": "5",
|
52 |
+
"f": "6",
|
53 |
+
"g": "7",
|
54 |
+
"h": "8",
|
55 |
+
"i": "9",
|
56 |
+
"j": "10",
|
57 |
+
"k": "11",
|
58 |
+
"l": "12",
|
59 |
+
"m": "13",
|
60 |
+
"n": "14",
|
61 |
+
"o": "15",
|
62 |
+
"p": "16",
|
63 |
+
"period": "17",
|
64 |
+
"q": "18",
|
65 |
+
"question%20mark": "19",
|
66 |
+
"r": "20",
|
67 |
+
"s": "21",
|
68 |
+
"t": "22",
|
69 |
+
"u": "23",
|
70 |
+
"v": "24",
|
71 |
+
"w": "25",
|
72 |
+
"x": "26",
|
73 |
+
"y": "27",
|
74 |
+
"z": "28"
|
75 |
+
},
|
76 |
+
"layer_norm_eps": 1e-12,
|
77 |
+
"model_type": "vit",
|
78 |
+
"num_attention_heads": 12,
|
79 |
+
"num_channels": 3,
|
80 |
+
"num_hidden_layers": 12,
|
81 |
+
"patch_size": 16,
|
82 |
+
"problem_type": "single_label_classification",
|
83 |
+
"qkv_bias": true,
|
84 |
+
"torch_dtype": "float32",
|
85 |
+
"transformers_version": "4.30.2"
|
86 |
+
}
|
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 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73148133251e579307cedbc6460e628f9c60344cf1f6bcc16883d36df666f0d1
|
3 |
+
size 343351725
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"total_flos": 1.1843641391623373e+18,
|
4 |
+
"train_loss": 0.6315841894596815,
|
5 |
+
"train_runtime": 473.5366,
|
6 |
+
"train_samples_per_second": 32.268,
|
7 |
+
"train_steps_per_second": 1.352
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,553 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.16443897783756256,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-640",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"global_step": 640,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.31,
|
12 |
+
"learning_rate": 9.84375e-05,
|
13 |
+
"loss": 3.3252,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.62,
|
18 |
+
"learning_rate": 9.687500000000001e-05,
|
19 |
+
"loss": 3.217,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.94,
|
24 |
+
"learning_rate": 9.53125e-05,
|
25 |
+
"loss": 3.0799,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.25,
|
30 |
+
"learning_rate": 9.375e-05,
|
31 |
+
"loss": 2.8394,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.25,
|
36 |
+
"eval_accuracy": 0.4815668202764977,
|
37 |
+
"eval_loss": 2.7347912788391113,
|
38 |
+
"eval_runtime": 5.6305,
|
39 |
+
"eval_samples_per_second": 77.081,
|
40 |
+
"eval_steps_per_second": 9.768,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 1.56,
|
45 |
+
"learning_rate": 9.21875e-05,
|
46 |
+
"loss": 2.598,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.88,
|
51 |
+
"learning_rate": 9.062500000000001e-05,
|
52 |
+
"loss": 2.417,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 2.19,
|
57 |
+
"learning_rate": 8.90625e-05,
|
58 |
+
"loss": 2.111,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 2.5,
|
63 |
+
"learning_rate": 8.75e-05,
|
64 |
+
"loss": 1.9174,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.5,
|
69 |
+
"eval_accuracy": 0.8963133640552995,
|
70 |
+
"eval_loss": 1.8127654790878296,
|
71 |
+
"eval_runtime": 5.3595,
|
72 |
+
"eval_samples_per_second": 80.978,
|
73 |
+
"eval_steps_per_second": 10.262,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.81,
|
78 |
+
"learning_rate": 8.593750000000001e-05,
|
79 |
+
"loss": 1.666,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 3.12,
|
84 |
+
"learning_rate": 8.4375e-05,
|
85 |
+
"loss": 1.5159,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 3.44,
|
90 |
+
"learning_rate": 8.28125e-05,
|
91 |
+
"loss": 1.3105,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.75,
|
96 |
+
"learning_rate": 8.125000000000001e-05,
|
97 |
+
"loss": 1.1859,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.75,
|
102 |
+
"eval_accuracy": 0.9470046082949308,
|
103 |
+
"eval_loss": 1.1414676904678345,
|
104 |
+
"eval_runtime": 5.3582,
|
105 |
+
"eval_samples_per_second": 80.997,
|
106 |
+
"eval_steps_per_second": 10.265,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 4.06,
|
111 |
+
"learning_rate": 7.96875e-05,
|
112 |
+
"loss": 1.0525,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 4.38,
|
117 |
+
"learning_rate": 7.8125e-05,
|
118 |
+
"loss": 0.9085,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 4.69,
|
123 |
+
"learning_rate": 7.65625e-05,
|
124 |
+
"loss": 0.8207,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 5.0,
|
129 |
+
"learning_rate": 7.500000000000001e-05,
|
130 |
+
"loss": 0.7413,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 5.0,
|
135 |
+
"eval_accuracy": 0.9654377880184332,
|
136 |
+
"eval_loss": 0.7720305919647217,
|
137 |
+
"eval_runtime": 5.6625,
|
138 |
+
"eval_samples_per_second": 76.645,
|
139 |
+
"eval_steps_per_second": 9.713,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 5.31,
|
144 |
+
"learning_rate": 7.34375e-05,
|
145 |
+
"loss": 0.6334,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 5.62,
|
150 |
+
"learning_rate": 7.1875e-05,
|
151 |
+
"loss": 0.6058,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 5.94,
|
156 |
+
"learning_rate": 7.031250000000001e-05,
|
157 |
+
"loss": 0.5319,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 6.25,
|
162 |
+
"learning_rate": 6.875e-05,
|
163 |
+
"loss": 0.4761,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.25,
|
168 |
+
"eval_accuracy": 0.9838709677419355,
|
169 |
+
"eval_loss": 0.5084273815155029,
|
170 |
+
"eval_runtime": 5.4846,
|
171 |
+
"eval_samples_per_second": 79.131,
|
172 |
+
"eval_steps_per_second": 10.028,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 6.56,
|
177 |
+
"learning_rate": 6.71875e-05,
|
178 |
+
"loss": 0.4109,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 6.88,
|
183 |
+
"learning_rate": 6.562500000000001e-05,
|
184 |
+
"loss": 0.3707,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 7.19,
|
189 |
+
"learning_rate": 6.40625e-05,
|
190 |
+
"loss": 0.3536,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 7.5,
|
195 |
+
"learning_rate": 6.25e-05,
|
196 |
+
"loss": 0.3108,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 7.5,
|
201 |
+
"eval_accuracy": 0.9746543778801844,
|
202 |
+
"eval_loss": 0.36055463552474976,
|
203 |
+
"eval_runtime": 5.6696,
|
204 |
+
"eval_samples_per_second": 76.549,
|
205 |
+
"eval_steps_per_second": 9.701,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 7.81,
|
210 |
+
"learning_rate": 6.0937500000000004e-05,
|
211 |
+
"loss": 0.2789,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 8.12,
|
216 |
+
"learning_rate": 5.9375e-05,
|
217 |
+
"loss": 0.2905,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 8.44,
|
222 |
+
"learning_rate": 5.78125e-05,
|
223 |
+
"loss": 0.2462,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 8.75,
|
228 |
+
"learning_rate": 5.6250000000000005e-05,
|
229 |
+
"loss": 0.251,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 8.75,
|
234 |
+
"eval_accuracy": 0.9769585253456221,
|
235 |
+
"eval_loss": 0.2958492040634155,
|
236 |
+
"eval_runtime": 7.6402,
|
237 |
+
"eval_samples_per_second": 56.805,
|
238 |
+
"eval_steps_per_second": 7.199,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 9.06,
|
243 |
+
"learning_rate": 5.46875e-05,
|
244 |
+
"loss": 0.2171,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 9.38,
|
249 |
+
"learning_rate": 5.3125000000000004e-05,
|
250 |
+
"loss": 0.2064,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 9.69,
|
255 |
+
"learning_rate": 5.15625e-05,
|
256 |
+
"loss": 0.2116,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 10.0,
|
261 |
+
"learning_rate": 5e-05,
|
262 |
+
"loss": 0.1896,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 10.0,
|
267 |
+
"eval_accuracy": 0.9769585253456221,
|
268 |
+
"eval_loss": 0.24788345396518707,
|
269 |
+
"eval_runtime": 5.2479,
|
270 |
+
"eval_samples_per_second": 82.699,
|
271 |
+
"eval_steps_per_second": 10.48,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 10.31,
|
276 |
+
"learning_rate": 4.8437500000000005e-05,
|
277 |
+
"loss": 0.1783,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 10.62,
|
282 |
+
"learning_rate": 4.6875e-05,
|
283 |
+
"loss": 0.1859,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 10.94,
|
288 |
+
"learning_rate": 4.5312500000000004e-05,
|
289 |
+
"loss": 0.1705,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 11.25,
|
294 |
+
"learning_rate": 4.375e-05,
|
295 |
+
"loss": 0.1659,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 11.25,
|
300 |
+
"eval_accuracy": 0.9838709677419355,
|
301 |
+
"eval_loss": 0.23752211034297943,
|
302 |
+
"eval_runtime": 5.7417,
|
303 |
+
"eval_samples_per_second": 75.588,
|
304 |
+
"eval_steps_per_second": 9.579,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 11.56,
|
309 |
+
"learning_rate": 4.21875e-05,
|
310 |
+
"loss": 0.1753,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 11.88,
|
315 |
+
"learning_rate": 4.0625000000000005e-05,
|
316 |
+
"loss": 0.1509,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 12.19,
|
321 |
+
"learning_rate": 3.90625e-05,
|
322 |
+
"loss": 0.1447,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 12.5,
|
327 |
+
"learning_rate": 3.7500000000000003e-05,
|
328 |
+
"loss": 0.1401,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 12.5,
|
333 |
+
"eval_accuracy": 0.9792626728110599,
|
334 |
+
"eval_loss": 0.20333679020404816,
|
335 |
+
"eval_runtime": 5.2814,
|
336 |
+
"eval_samples_per_second": 82.175,
|
337 |
+
"eval_steps_per_second": 10.414,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 12.81,
|
342 |
+
"learning_rate": 3.59375e-05,
|
343 |
+
"loss": 0.1508,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 13.12,
|
348 |
+
"learning_rate": 3.4375e-05,
|
349 |
+
"loss": 0.1364,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 13.44,
|
354 |
+
"learning_rate": 3.2812500000000005e-05,
|
355 |
+
"loss": 0.1415,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 13.75,
|
360 |
+
"learning_rate": 3.125e-05,
|
361 |
+
"loss": 0.131,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 13.75,
|
366 |
+
"eval_accuracy": 0.9792626728110599,
|
367 |
+
"eval_loss": 0.19693893194198608,
|
368 |
+
"eval_runtime": 5.0279,
|
369 |
+
"eval_samples_per_second": 86.318,
|
370 |
+
"eval_steps_per_second": 10.939,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 14.06,
|
375 |
+
"learning_rate": 2.96875e-05,
|
376 |
+
"loss": 0.1264,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 14.38,
|
381 |
+
"learning_rate": 2.8125000000000003e-05,
|
382 |
+
"loss": 0.1376,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 14.69,
|
387 |
+
"learning_rate": 2.6562500000000002e-05,
|
388 |
+
"loss": 0.1211,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 15.0,
|
393 |
+
"learning_rate": 2.5e-05,
|
394 |
+
"loss": 0.1162,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 15.0,
|
399 |
+
"eval_accuracy": 0.9792626728110599,
|
400 |
+
"eval_loss": 0.1791529506444931,
|
401 |
+
"eval_runtime": 4.2132,
|
402 |
+
"eval_samples_per_second": 103.009,
|
403 |
+
"eval_steps_per_second": 13.054,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 15.31,
|
408 |
+
"learning_rate": 2.34375e-05,
|
409 |
+
"loss": 0.1285,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 15.62,
|
414 |
+
"learning_rate": 2.1875e-05,
|
415 |
+
"loss": 0.1136,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 15.94,
|
420 |
+
"learning_rate": 2.0312500000000002e-05,
|
421 |
+
"loss": 0.1117,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 16.25,
|
426 |
+
"learning_rate": 1.8750000000000002e-05,
|
427 |
+
"loss": 0.11,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 16.25,
|
432 |
+
"eval_accuracy": 0.9792626728110599,
|
433 |
+
"eval_loss": 0.17193575203418732,
|
434 |
+
"eval_runtime": 4.2988,
|
435 |
+
"eval_samples_per_second": 100.957,
|
436 |
+
"eval_steps_per_second": 12.794,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 16.56,
|
441 |
+
"learning_rate": 1.71875e-05,
|
442 |
+
"loss": 0.1087,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 16.88,
|
447 |
+
"learning_rate": 1.5625e-05,
|
448 |
+
"loss": 0.1065,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 17.19,
|
453 |
+
"learning_rate": 1.4062500000000001e-05,
|
454 |
+
"loss": 0.1207,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 17.5,
|
459 |
+
"learning_rate": 1.25e-05,
|
460 |
+
"loss": 0.1056,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 17.5,
|
465 |
+
"eval_accuracy": 0.9792626728110599,
|
466 |
+
"eval_loss": 0.16766877472400665,
|
467 |
+
"eval_runtime": 5.7239,
|
468 |
+
"eval_samples_per_second": 75.823,
|
469 |
+
"eval_steps_per_second": 9.609,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 17.81,
|
474 |
+
"learning_rate": 1.09375e-05,
|
475 |
+
"loss": 0.1051,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 18.12,
|
480 |
+
"learning_rate": 9.375000000000001e-06,
|
481 |
+
"loss": 0.1148,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 18.44,
|
486 |
+
"learning_rate": 7.8125e-06,
|
487 |
+
"loss": 0.1043,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 18.75,
|
492 |
+
"learning_rate": 6.25e-06,
|
493 |
+
"loss": 0.1128,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 18.75,
|
498 |
+
"eval_accuracy": 0.9723502304147466,
|
499 |
+
"eval_loss": 0.17274537682533264,
|
500 |
+
"eval_runtime": 5.5073,
|
501 |
+
"eval_samples_per_second": 78.805,
|
502 |
+
"eval_steps_per_second": 9.987,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 19.06,
|
507 |
+
"learning_rate": 4.6875000000000004e-06,
|
508 |
+
"loss": 0.102,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 19.38,
|
513 |
+
"learning_rate": 3.125e-06,
|
514 |
+
"loss": 0.1028,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 19.69,
|
519 |
+
"learning_rate": 1.5625e-06,
|
520 |
+
"loss": 0.1096,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 20.0,
|
525 |
+
"learning_rate": 0.0,
|
526 |
+
"loss": 0.1018,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 20.0,
|
531 |
+
"eval_accuracy": 0.9792626728110599,
|
532 |
+
"eval_loss": 0.16443897783756256,
|
533 |
+
"eval_runtime": 4.9159,
|
534 |
+
"eval_samples_per_second": 88.285,
|
535 |
+
"eval_steps_per_second": 11.188,
|
536 |
+
"step": 640
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 20.0,
|
540 |
+
"step": 640,
|
541 |
+
"total_flos": 1.1843641391623373e+18,
|
542 |
+
"train_loss": 0.6315841894596815,
|
543 |
+
"train_runtime": 473.5366,
|
544 |
+
"train_samples_per_second": 32.268,
|
545 |
+
"train_steps_per_second": 1.352
|
546 |
+
}
|
547 |
+
],
|
548 |
+
"max_steps": 640,
|
549 |
+
"num_train_epochs": 20,
|
550 |
+
"total_flos": 1.1843641391623373e+18,
|
551 |
+
"trial_name": null,
|
552 |
+
"trial_params": null
|
553 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e00db2a0e0945cff474f615b599cebc0ca0436459ecf509b6097643ca635938b
|
3 |
+
size 3899
|