Upload folder using huggingface_hub

#5
by Ehoil - opened
config.json CHANGED
@@ -30,5 +30,5 @@
30
  "problem_type": "single_label_classification",
31
  "qkv_bias": true,
32
  "torch_dtype": "float32",
33
- "transformers_version": "4.25.1"
34
  }
 
30
  "problem_type": "single_label_classification",
31
  "qkv_bias": true,
32
  "torch_dtype": "float32",
33
+ "transformers_version": "4.31.0"
34
  }
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3ef093cf0c329c5d6f2acd29e1e88a912a65cce3a680490ccb733594e2f5fc36
3
- size 686519237
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa34a4d664683f6352396281f804c07384abc378061a45086246eabac30c9e41
3
+ size 686524869
preprocessor_config.json CHANGED
@@ -7,7 +7,7 @@
7
  0.5,
8
  0.5
9
  ],
10
- "image_processor_type": "ViTImageProcessor",
11
  "image_std": [
12
  0.5,
13
  0.5,
 
7
  0.5,
8
  0.5
9
  ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
  "image_std": [
12
  0.5,
13
  0.5,
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:feba1c4c2c0f529b53729cb13aa3a93e558a489dab82e2f18708cd64e8374cb1
3
- size 343269037
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21f19a5e9b4f87a8893f66dee8d221f1e6e2ba845a0076b0c81db77f9d994ccb
3
+ size 343271789
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f8214c01f27f2aeae1e56fc7a28278e26d2d258088ec2bdf3bdc701698ad3524
3
- size 13553
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08d1f90efd2ec5917f1161087472df1d694f3bfb61fcf103c3c900b90c19e167
3
+ size 14575
scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1d2f8d5644864d856523bae0ede098144307fe585e171a2a4c5d5d7e03dda137
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47ccac7cc41bc4265e8ce2775b4b17b7dbc2e9a12fcead9bbbbf6eaa978c17f7
3
  size 627
trainer_state.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "best_metric": 0.0308952908962965,
3
  "best_model_checkpoint": "./vit-base-beans/checkpoint-100",
4
  "epoch": 3.076923076923077,
5
  "global_step": 200,
@@ -10,139 +10,139 @@
10
  {
11
  "epoch": 0.15,
12
  "learning_rate": 0.00019230769230769233,
13
- "loss": 0.8966,
14
  "step": 10
15
  },
16
  {
17
  "epoch": 0.31,
18
  "learning_rate": 0.00018461538461538463,
19
- "loss": 0.4521,
20
  "step": 20
21
  },
22
  {
23
  "epoch": 0.46,
24
  "learning_rate": 0.00017692307692307693,
25
- "loss": 0.3521,
26
  "step": 30
27
  },
28
  {
29
  "epoch": 0.62,
30
  "learning_rate": 0.00016923076923076923,
31
- "loss": 0.3085,
32
  "step": 40
33
  },
34
  {
35
  "epoch": 0.77,
36
  "learning_rate": 0.00016153846153846155,
37
- "loss": 0.3361,
38
  "step": 50
39
  },
40
  {
41
  "epoch": 0.92,
42
  "learning_rate": 0.00015384615384615385,
43
- "loss": 0.2748,
44
  "step": 60
45
  },
46
  {
47
  "epoch": 1.08,
48
  "learning_rate": 0.00014615384615384615,
49
- "loss": 0.1351,
50
  "step": 70
51
  },
52
  {
53
  "epoch": 1.23,
54
  "learning_rate": 0.00013846153846153847,
55
- "loss": 0.0835,
56
  "step": 80
57
  },
58
  {
59
  "epoch": 1.38,
60
  "learning_rate": 0.00013076923076923077,
61
- "loss": 0.0503,
62
  "step": 90
63
  },
64
  {
65
  "epoch": 1.54,
66
  "learning_rate": 0.0001230769230769231,
67
- "loss": 0.0915,
68
  "step": 100
69
  },
70
  {
71
  "epoch": 1.54,
72
  "eval_accuracy": 1.0,
73
- "eval_loss": 0.0308952908962965,
74
- "eval_runtime": 82.0221,
75
- "eval_samples_per_second": 1.622,
76
- "eval_steps_per_second": 0.207,
77
  "step": 100
78
  },
79
  {
80
  "epoch": 1.69,
81
  "learning_rate": 0.00011538461538461538,
82
- "loss": 0.0444,
83
  "step": 110
84
  },
85
  {
86
  "epoch": 1.85,
87
  "learning_rate": 0.0001076923076923077,
88
- "loss": 0.1631,
89
  "step": 120
90
  },
91
  {
92
  "epoch": 2.0,
93
  "learning_rate": 0.0001,
94
- "loss": 0.0487,
95
  "step": 130
96
  },
97
  {
98
  "epoch": 2.15,
99
  "learning_rate": 9.230769230769232e-05,
100
- "loss": 0.0207,
101
  "step": 140
102
  },
103
  {
104
  "epoch": 2.31,
105
  "learning_rate": 8.461538461538461e-05,
106
- "loss": 0.0177,
107
  "step": 150
108
  },
109
  {
110
  "epoch": 2.46,
111
  "learning_rate": 7.692307692307693e-05,
112
- "loss": 0.0224,
113
  "step": 160
114
  },
115
  {
116
  "epoch": 2.62,
117
  "learning_rate": 6.923076923076924e-05,
118
- "loss": 0.016,
119
  "step": 170
120
  },
121
  {
122
  "epoch": 2.77,
123
  "learning_rate": 6.153846153846155e-05,
124
- "loss": 0.0519,
125
  "step": 180
126
  },
127
  {
128
  "epoch": 2.92,
129
  "learning_rate": 5.384615384615385e-05,
130
- "loss": 0.0386,
131
  "step": 190
132
  },
133
  {
134
  "epoch": 3.08,
135
  "learning_rate": 4.615384615384616e-05,
136
- "loss": 0.0141,
137
  "step": 200
138
  },
139
  {
140
  "epoch": 3.08,
141
  "eval_accuracy": 0.9924812030075187,
142
- "eval_loss": 0.036899399012327194,
143
- "eval_runtime": 78.2673,
144
- "eval_samples_per_second": 1.699,
145
- "eval_steps_per_second": 0.217,
146
  "step": 200
147
  }
148
  ],
 
1
  {
2
+ "best_metric": 0.02877461351454258,
3
  "best_model_checkpoint": "./vit-base-beans/checkpoint-100",
4
  "epoch": 3.076923076923077,
5
  "global_step": 200,
 
10
  {
11
  "epoch": 0.15,
12
  "learning_rate": 0.00019230769230769233,
13
+ "loss": 0.8579,
14
  "step": 10
15
  },
16
  {
17
  "epoch": 0.31,
18
  "learning_rate": 0.00018461538461538463,
19
+ "loss": 0.3328,
20
  "step": 20
21
  },
22
  {
23
  "epoch": 0.46,
24
  "learning_rate": 0.00017692307692307693,
25
+ "loss": 0.2982,
26
  "step": 30
27
  },
28
  {
29
  "epoch": 0.62,
30
  "learning_rate": 0.00016923076923076923,
31
+ "loss": 0.2092,
32
  "step": 40
33
  },
34
  {
35
  "epoch": 0.77,
36
  "learning_rate": 0.00016153846153846155,
37
+ "loss": 0.2919,
38
  "step": 50
39
  },
40
  {
41
  "epoch": 0.92,
42
  "learning_rate": 0.00015384615384615385,
43
+ "loss": 0.2561,
44
  "step": 60
45
  },
46
  {
47
  "epoch": 1.08,
48
  "learning_rate": 0.00014615384615384615,
49
+ "loss": 0.175,
50
  "step": 70
51
  },
52
  {
53
  "epoch": 1.23,
54
  "learning_rate": 0.00013846153846153847,
55
+ "loss": 0.1027,
56
  "step": 80
57
  },
58
  {
59
  "epoch": 1.38,
60
  "learning_rate": 0.00013076923076923077,
61
+ "loss": 0.0535,
62
  "step": 90
63
  },
64
  {
65
  "epoch": 1.54,
66
  "learning_rate": 0.0001230769230769231,
67
+ "loss": 0.1347,
68
  "step": 100
69
  },
70
  {
71
  "epoch": 1.54,
72
  "eval_accuracy": 1.0,
73
+ "eval_loss": 0.02877461351454258,
74
+ "eval_runtime": 2.6473,
75
+ "eval_samples_per_second": 50.239,
76
+ "eval_steps_per_second": 6.422,
77
  "step": 100
78
  },
79
  {
80
  "epoch": 1.69,
81
  "learning_rate": 0.00011538461538461538,
82
+ "loss": 0.1644,
83
  "step": 110
84
  },
85
  {
86
  "epoch": 1.85,
87
  "learning_rate": 0.0001076923076923077,
88
+ "loss": 0.0519,
89
  "step": 120
90
  },
91
  {
92
  "epoch": 2.0,
93
  "learning_rate": 0.0001,
94
+ "loss": 0.0451,
95
  "step": 130
96
  },
97
  {
98
  "epoch": 2.15,
99
  "learning_rate": 9.230769230769232e-05,
100
+ "loss": 0.0227,
101
  "step": 140
102
  },
103
  {
104
  "epoch": 2.31,
105
  "learning_rate": 8.461538461538461e-05,
106
+ "loss": 0.0537,
107
  "step": 150
108
  },
109
  {
110
  "epoch": 2.46,
111
  "learning_rate": 7.692307692307693e-05,
112
+ "loss": 0.02,
113
  "step": 160
114
  },
115
  {
116
  "epoch": 2.62,
117
  "learning_rate": 6.923076923076924e-05,
118
+ "loss": 0.0149,
119
  "step": 170
120
  },
121
  {
122
  "epoch": 2.77,
123
  "learning_rate": 6.153846153846155e-05,
124
+ "loss": 0.0195,
125
  "step": 180
126
  },
127
  {
128
  "epoch": 2.92,
129
  "learning_rate": 5.384615384615385e-05,
130
+ "loss": 0.0449,
131
  "step": 190
132
  },
133
  {
134
  "epoch": 3.08,
135
  "learning_rate": 4.615384615384616e-05,
136
+ "loss": 0.013,
137
  "step": 200
138
  },
139
  {
140
  "epoch": 3.08,
141
  "eval_accuracy": 0.9924812030075187,
142
+ "eval_loss": 0.03942460939288139,
143
+ "eval_runtime": 3.3453,
144
+ "eval_samples_per_second": 39.757,
145
+ "eval_steps_per_second": 5.082,
146
  "step": 200
147
  }
148
  ],
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b32b37ee2c881b1681ed8fa5917a9ffb2ea83336e547c55936c3358445f3cba7
3
- size 3387
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d93dbb2d8ac063b095bd98c3dc6fde788c10c5b05c2fbd18a28d52dd84ccb54
3
+ size 3963