vpalmerio commited on
Commit
b486ef5
1 Parent(s): 6156591

Upload folder using huggingface_hub

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 3.545449175052288e+17,
4
+ "train_loss": 0.48534091012231234,
5
+ "train_runtime": 1027.0889,
6
+ "train_samples_per_second": 4.454,
7
+ "train_steps_per_second": 0.282
8
+ }
checkpoint-100/config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "acne",
13
+ "1": "eczema",
14
+ "2": "herpes zoster",
15
+ "3": "hives",
16
+ "4": "lupus",
17
+ "5": "raynauds",
18
+ "6": "tinea",
19
+ "7": "vitiligo"
20
+ },
21
+ "image_size": 224,
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 3072,
24
+ "label2id": {
25
+ "acne": "0",
26
+ "eczema": "1",
27
+ "herpes zoster": "2",
28
+ "hives": "3",
29
+ "lupus": "4",
30
+ "raynauds": "5",
31
+ "tinea": "6",
32
+ "vitiligo": "7"
33
+ },
34
+ "layer_norm_eps": 1e-12,
35
+ "model_type": "vit",
36
+ "num_attention_heads": 12,
37
+ "num_channels": 3,
38
+ "num_hidden_layers": 12,
39
+ "patch_size": 16,
40
+ "problem_type": "single_label_classification",
41
+ "qkv_bias": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.30.2"
44
+ }
checkpoint-100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b7815cc44b1b8af2219ec3f15dba65e7bb309bfca10ee63767e5867df570bdc
3
+ size 686605317
checkpoint-100/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-100/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92df0ed344bb275826e9a28655a22f187b8af79649ce7be3dea7b52c180f14b0
3
+ size 343287149
checkpoint-100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e6fc19375cce74c0862b9871b9a851432a335ebdd452df1c7d81b4e0b89b159
3
+ size 14575
checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc55bb5635500af2d3d3f5d8e6a36f126d8277798e32baa5fb8228cf3b9773af
3
+ size 627
checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,166 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.2660315036773682,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-100",
4
+ "epoch": 1.7241379310344827,
5
+ "global_step": 100,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.17,
12
+ "learning_rate": 0.0001931034482758621,
13
+ "loss": 1.7999,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.17,
18
+ "eval_accuracy": 0.25555555555555554,
19
+ "eval_loss": 1.9382611513137817,
20
+ "eval_runtime": 128.8894,
21
+ "eval_samples_per_second": 2.095,
22
+ "eval_steps_per_second": 0.264,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.34,
27
+ "learning_rate": 0.00018620689655172415,
28
+ "loss": 1.5424,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 0.34,
33
+ "eval_accuracy": 0.4148148148148148,
34
+ "eval_loss": 1.5738633871078491,
35
+ "eval_runtime": 7.0871,
36
+ "eval_samples_per_second": 38.097,
37
+ "eval_steps_per_second": 4.797,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.52,
42
+ "learning_rate": 0.0001793103448275862,
43
+ "loss": 1.257,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.52,
48
+ "eval_accuracy": 0.5777777777777777,
49
+ "eval_loss": 1.3710002899169922,
50
+ "eval_runtime": 8.6728,
51
+ "eval_samples_per_second": 31.132,
52
+ "eval_steps_per_second": 3.92,
53
+ "step": 30
54
+ },
55
+ {
56
+ "epoch": 0.69,
57
+ "learning_rate": 0.00017241379310344826,
58
+ "loss": 1.0721,
59
+ "step": 40
60
+ },
61
+ {
62
+ "epoch": 0.69,
63
+ "eval_accuracy": 0.5074074074074074,
64
+ "eval_loss": 1.4735559225082397,
65
+ "eval_runtime": 7.1381,
66
+ "eval_samples_per_second": 37.825,
67
+ "eval_steps_per_second": 4.763,
68
+ "step": 40
69
+ },
70
+ {
71
+ "epoch": 0.86,
72
+ "learning_rate": 0.00016551724137931035,
73
+ "loss": 1.1026,
74
+ "step": 50
75
+ },
76
+ {
77
+ "epoch": 0.86,
78
+ "eval_accuracy": 0.6370370370370371,
79
+ "eval_loss": 1.2928471565246582,
80
+ "eval_runtime": 8.3556,
81
+ "eval_samples_per_second": 32.314,
82
+ "eval_steps_per_second": 4.069,
83
+ "step": 50
84
+ },
85
+ {
86
+ "epoch": 1.03,
87
+ "learning_rate": 0.00015862068965517243,
88
+ "loss": 0.9359,
89
+ "step": 60
90
+ },
91
+ {
92
+ "epoch": 1.03,
93
+ "eval_accuracy": 0.6074074074074074,
94
+ "eval_loss": 1.2788481712341309,
95
+ "eval_runtime": 7.1042,
96
+ "eval_samples_per_second": 38.006,
97
+ "eval_steps_per_second": 4.786,
98
+ "step": 60
99
+ },
100
+ {
101
+ "epoch": 1.21,
102
+ "learning_rate": 0.00015172413793103449,
103
+ "loss": 0.7,
104
+ "step": 70
105
+ },
106
+ {
107
+ "epoch": 1.21,
108
+ "eval_accuracy": 0.6592592592592592,
109
+ "eval_loss": 1.2249455451965332,
110
+ "eval_runtime": 7.5614,
111
+ "eval_samples_per_second": 35.708,
112
+ "eval_steps_per_second": 4.497,
113
+ "step": 70
114
+ },
115
+ {
116
+ "epoch": 1.38,
117
+ "learning_rate": 0.00014482758620689657,
118
+ "loss": 0.5367,
119
+ "step": 80
120
+ },
121
+ {
122
+ "epoch": 1.38,
123
+ "eval_accuracy": 0.6222222222222222,
124
+ "eval_loss": 1.3300864696502686,
125
+ "eval_runtime": 7.852,
126
+ "eval_samples_per_second": 34.386,
127
+ "eval_steps_per_second": 4.33,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 1.55,
132
+ "learning_rate": 0.00013793103448275863,
133
+ "loss": 0.6017,
134
+ "step": 90
135
+ },
136
+ {
137
+ "epoch": 1.55,
138
+ "eval_accuracy": 0.6666666666666666,
139
+ "eval_loss": 1.2042837142944336,
140
+ "eval_runtime": 8.2241,
141
+ "eval_samples_per_second": 32.83,
142
+ "eval_steps_per_second": 4.134,
143
+ "step": 90
144
+ },
145
+ {
146
+ "epoch": 1.72,
147
+ "learning_rate": 0.00013103448275862068,
148
+ "loss": 0.6007,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 1.72,
153
+ "eval_accuracy": 0.6703703703703704,
154
+ "eval_loss": 1.2660315036773682,
155
+ "eval_runtime": 8.6405,
156
+ "eval_samples_per_second": 31.248,
157
+ "eval_steps_per_second": 3.935,
158
+ "step": 100
159
+ }
160
+ ],
161
+ "max_steps": 290,
162
+ "num_train_epochs": 5,
163
+ "total_flos": 1.2298640089197773e+17,
164
+ "trial_name": null,
165
+ "trial_params": null
166
+ }
checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:779ef95e31750d3943e4f7f30b53438699b481978b1b059b4a24fa8736da35a6
3
+ size 3899
checkpoint-250/config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "acne",
13
+ "1": "eczema",
14
+ "2": "herpes zoster",
15
+ "3": "hives",
16
+ "4": "lupus",
17
+ "5": "raynauds",
18
+ "6": "tinea",
19
+ "7": "vitiligo"
20
+ },
21
+ "image_size": 224,
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 3072,
24
+ "label2id": {
25
+ "acne": "0",
26
+ "eczema": "1",
27
+ "herpes zoster": "2",
28
+ "hives": "3",
29
+ "lupus": "4",
30
+ "raynauds": "5",
31
+ "tinea": "6",
32
+ "vitiligo": "7"
33
+ },
34
+ "layer_norm_eps": 1e-12,
35
+ "model_type": "vit",
36
+ "num_attention_heads": 12,
37
+ "num_channels": 3,
38
+ "num_hidden_layers": 12,
39
+ "patch_size": 16,
40
+ "problem_type": "single_label_classification",
41
+ "qkv_bias": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.30.2"
44
+ }
checkpoint-250/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0612b5fe8cea030d4eeccda553bd400d4387d4dbf23ba147a3b4c7ceeb45a57f
3
+ size 686605317
checkpoint-250/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-250/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f43ee2364c034f6b356851d2a09050f3412a1b81bfa2442cdefaefb485c23aa4
3
+ size 343287149
checkpoint-250/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab20ec22798cfb03ec9b0af2e45ca3a7d282a1ec1c6c852be97ba0580928637b
3
+ size 14575
checkpoint-250/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7ac8a0883e053c6167ed582feec5ddfc131ae22f197d0fba801d4921afedc58
3
+ size 627
checkpoint-250/trainer_state.json ADDED
@@ -0,0 +1,391 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.2660315036773682,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-100",
4
+ "epoch": 4.310344827586207,
5
+ "global_step": 250,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.17,
12
+ "learning_rate": 0.0001931034482758621,
13
+ "loss": 1.7999,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.17,
18
+ "eval_accuracy": 0.25555555555555554,
19
+ "eval_loss": 1.9382611513137817,
20
+ "eval_runtime": 128.8894,
21
+ "eval_samples_per_second": 2.095,
22
+ "eval_steps_per_second": 0.264,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.34,
27
+ "learning_rate": 0.00018620689655172415,
28
+ "loss": 1.5424,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 0.34,
33
+ "eval_accuracy": 0.4148148148148148,
34
+ "eval_loss": 1.5738633871078491,
35
+ "eval_runtime": 7.0871,
36
+ "eval_samples_per_second": 38.097,
37
+ "eval_steps_per_second": 4.797,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.52,
42
+ "learning_rate": 0.0001793103448275862,
43
+ "loss": 1.257,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.52,
48
+ "eval_accuracy": 0.5777777777777777,
49
+ "eval_loss": 1.3710002899169922,
50
+ "eval_runtime": 8.6728,
51
+ "eval_samples_per_second": 31.132,
52
+ "eval_steps_per_second": 3.92,
53
+ "step": 30
54
+ },
55
+ {
56
+ "epoch": 0.69,
57
+ "learning_rate": 0.00017241379310344826,
58
+ "loss": 1.0721,
59
+ "step": 40
60
+ },
61
+ {
62
+ "epoch": 0.69,
63
+ "eval_accuracy": 0.5074074074074074,
64
+ "eval_loss": 1.4735559225082397,
65
+ "eval_runtime": 7.1381,
66
+ "eval_samples_per_second": 37.825,
67
+ "eval_steps_per_second": 4.763,
68
+ "step": 40
69
+ },
70
+ {
71
+ "epoch": 0.86,
72
+ "learning_rate": 0.00016551724137931035,
73
+ "loss": 1.1026,
74
+ "step": 50
75
+ },
76
+ {
77
+ "epoch": 0.86,
78
+ "eval_accuracy": 0.6370370370370371,
79
+ "eval_loss": 1.2928471565246582,
80
+ "eval_runtime": 8.3556,
81
+ "eval_samples_per_second": 32.314,
82
+ "eval_steps_per_second": 4.069,
83
+ "step": 50
84
+ },
85
+ {
86
+ "epoch": 1.03,
87
+ "learning_rate": 0.00015862068965517243,
88
+ "loss": 0.9359,
89
+ "step": 60
90
+ },
91
+ {
92
+ "epoch": 1.03,
93
+ "eval_accuracy": 0.6074074074074074,
94
+ "eval_loss": 1.2788481712341309,
95
+ "eval_runtime": 7.1042,
96
+ "eval_samples_per_second": 38.006,
97
+ "eval_steps_per_second": 4.786,
98
+ "step": 60
99
+ },
100
+ {
101
+ "epoch": 1.21,
102
+ "learning_rate": 0.00015172413793103449,
103
+ "loss": 0.7,
104
+ "step": 70
105
+ },
106
+ {
107
+ "epoch": 1.21,
108
+ "eval_accuracy": 0.6592592592592592,
109
+ "eval_loss": 1.2249455451965332,
110
+ "eval_runtime": 7.5614,
111
+ "eval_samples_per_second": 35.708,
112
+ "eval_steps_per_second": 4.497,
113
+ "step": 70
114
+ },
115
+ {
116
+ "epoch": 1.38,
117
+ "learning_rate": 0.00014482758620689657,
118
+ "loss": 0.5367,
119
+ "step": 80
120
+ },
121
+ {
122
+ "epoch": 1.38,
123
+ "eval_accuracy": 0.6222222222222222,
124
+ "eval_loss": 1.3300864696502686,
125
+ "eval_runtime": 7.852,
126
+ "eval_samples_per_second": 34.386,
127
+ "eval_steps_per_second": 4.33,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 1.55,
132
+ "learning_rate": 0.00013793103448275863,
133
+ "loss": 0.6017,
134
+ "step": 90
135
+ },
136
+ {
137
+ "epoch": 1.55,
138
+ "eval_accuracy": 0.6666666666666666,
139
+ "eval_loss": 1.2042837142944336,
140
+ "eval_runtime": 8.2241,
141
+ "eval_samples_per_second": 32.83,
142
+ "eval_steps_per_second": 4.134,
143
+ "step": 90
144
+ },
145
+ {
146
+ "epoch": 1.72,
147
+ "learning_rate": 0.00013103448275862068,
148
+ "loss": 0.6007,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 1.72,
153
+ "eval_accuracy": 0.6703703703703704,
154
+ "eval_loss": 1.2660315036773682,
155
+ "eval_runtime": 8.6405,
156
+ "eval_samples_per_second": 31.248,
157
+ "eval_steps_per_second": 3.935,
158
+ "step": 100
159
+ },
160
+ {
161
+ "epoch": 1.9,
162
+ "learning_rate": 0.00012413793103448277,
163
+ "loss": 0.6083,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 1.9,
168
+ "eval_accuracy": 0.6851851851851852,
169
+ "eval_loss": 1.2744337320327759,
170
+ "eval_runtime": 8.1117,
171
+ "eval_samples_per_second": 33.285,
172
+ "eval_steps_per_second": 4.191,
173
+ "step": 110
174
+ },
175
+ {
176
+ "epoch": 2.07,
177
+ "learning_rate": 0.00011724137931034482,
178
+ "loss": 0.4428,
179
+ "step": 120
180
+ },
181
+ {
182
+ "epoch": 2.07,
183
+ "eval_accuracy": 0.6481481481481481,
184
+ "eval_loss": 1.3982332944869995,
185
+ "eval_runtime": 9.593,
186
+ "eval_samples_per_second": 28.145,
187
+ "eval_steps_per_second": 3.544,
188
+ "step": 120
189
+ },
190
+ {
191
+ "epoch": 2.24,
192
+ "learning_rate": 0.0001103448275862069,
193
+ "loss": 0.3967,
194
+ "step": 130
195
+ },
196
+ {
197
+ "epoch": 2.24,
198
+ "eval_accuracy": 0.6851851851851852,
199
+ "eval_loss": 1.2987446784973145,
200
+ "eval_runtime": 7.0774,
201
+ "eval_samples_per_second": 38.15,
202
+ "eval_steps_per_second": 4.804,
203
+ "step": 130
204
+ },
205
+ {
206
+ "epoch": 2.41,
207
+ "learning_rate": 0.00010344827586206898,
208
+ "loss": 0.3308,
209
+ "step": 140
210
+ },
211
+ {
212
+ "epoch": 2.41,
213
+ "eval_accuracy": 0.7,
214
+ "eval_loss": 1.3469077348709106,
215
+ "eval_runtime": 7.0247,
216
+ "eval_samples_per_second": 38.436,
217
+ "eval_steps_per_second": 4.84,
218
+ "step": 140
219
+ },
220
+ {
221
+ "epoch": 2.59,
222
+ "learning_rate": 9.655172413793105e-05,
223
+ "loss": 0.2844,
224
+ "step": 150
225
+ },
226
+ {
227
+ "epoch": 2.59,
228
+ "eval_accuracy": 0.6962962962962963,
229
+ "eval_loss": 1.2884557247161865,
230
+ "eval_runtime": 9.6127,
231
+ "eval_samples_per_second": 28.088,
232
+ "eval_steps_per_second": 3.537,
233
+ "step": 150
234
+ },
235
+ {
236
+ "epoch": 2.76,
237
+ "learning_rate": 8.96551724137931e-05,
238
+ "loss": 0.2313,
239
+ "step": 160
240
+ },
241
+ {
242
+ "epoch": 2.76,
243
+ "eval_accuracy": 0.6851851851851852,
244
+ "eval_loss": 1.4098496437072754,
245
+ "eval_runtime": 8.6491,
246
+ "eval_samples_per_second": 31.217,
247
+ "eval_steps_per_second": 3.931,
248
+ "step": 160
249
+ },
250
+ {
251
+ "epoch": 2.93,
252
+ "learning_rate": 8.275862068965517e-05,
253
+ "loss": 0.2378,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 2.93,
258
+ "eval_accuracy": 0.6851851851851852,
259
+ "eval_loss": 1.4552189111709595,
260
+ "eval_runtime": 8.3406,
261
+ "eval_samples_per_second": 32.372,
262
+ "eval_steps_per_second": 4.076,
263
+ "step": 170
264
+ },
265
+ {
266
+ "epoch": 3.1,
267
+ "learning_rate": 7.586206896551724e-05,
268
+ "loss": 0.1724,
269
+ "step": 180
270
+ },
271
+ {
272
+ "epoch": 3.1,
273
+ "eval_accuracy": 0.6851851851851852,
274
+ "eval_loss": 1.3009414672851562,
275
+ "eval_runtime": 7.8433,
276
+ "eval_samples_per_second": 34.424,
277
+ "eval_steps_per_second": 4.335,
278
+ "step": 180
279
+ },
280
+ {
281
+ "epoch": 3.28,
282
+ "learning_rate": 6.896551724137931e-05,
283
+ "loss": 0.1712,
284
+ "step": 190
285
+ },
286
+ {
287
+ "epoch": 3.28,
288
+ "eval_accuracy": 0.6888888888888889,
289
+ "eval_loss": 1.3433070182800293,
290
+ "eval_runtime": 7.412,
291
+ "eval_samples_per_second": 36.427,
292
+ "eval_steps_per_second": 4.587,
293
+ "step": 190
294
+ },
295
+ {
296
+ "epoch": 3.45,
297
+ "learning_rate": 6.206896551724138e-05,
298
+ "loss": 0.1521,
299
+ "step": 200
300
+ },
301
+ {
302
+ "epoch": 3.45,
303
+ "eval_accuracy": 0.6888888888888889,
304
+ "eval_loss": 1.4084450006484985,
305
+ "eval_runtime": 7.1569,
306
+ "eval_samples_per_second": 37.726,
307
+ "eval_steps_per_second": 4.751,
308
+ "step": 200
309
+ },
310
+ {
311
+ "epoch": 3.62,
312
+ "learning_rate": 5.517241379310345e-05,
313
+ "loss": 0.1178,
314
+ "step": 210
315
+ },
316
+ {
317
+ "epoch": 3.62,
318
+ "eval_accuracy": 0.6925925925925925,
319
+ "eval_loss": 1.4383904933929443,
320
+ "eval_runtime": 15.5468,
321
+ "eval_samples_per_second": 17.367,
322
+ "eval_steps_per_second": 2.187,
323
+ "step": 210
324
+ },
325
+ {
326
+ "epoch": 3.79,
327
+ "learning_rate": 4.827586206896552e-05,
328
+ "loss": 0.0968,
329
+ "step": 220
330
+ },
331
+ {
332
+ "epoch": 3.79,
333
+ "eval_accuracy": 0.6888888888888889,
334
+ "eval_loss": 1.44044029712677,
335
+ "eval_runtime": 8.8794,
336
+ "eval_samples_per_second": 30.407,
337
+ "eval_steps_per_second": 3.829,
338
+ "step": 220
339
+ },
340
+ {
341
+ "epoch": 3.97,
342
+ "learning_rate": 4.1379310344827587e-05,
343
+ "loss": 0.1471,
344
+ "step": 230
345
+ },
346
+ {
347
+ "epoch": 3.97,
348
+ "eval_accuracy": 0.6888888888888889,
349
+ "eval_loss": 1.4447485208511353,
350
+ "eval_runtime": 9.2898,
351
+ "eval_samples_per_second": 29.064,
352
+ "eval_steps_per_second": 3.66,
353
+ "step": 230
354
+ },
355
+ {
356
+ "epoch": 4.14,
357
+ "learning_rate": 3.4482758620689657e-05,
358
+ "loss": 0.1114,
359
+ "step": 240
360
+ },
361
+ {
362
+ "epoch": 4.14,
363
+ "eval_accuracy": 0.6888888888888889,
364
+ "eval_loss": 1.4719408750534058,
365
+ "eval_runtime": 12.6934,
366
+ "eval_samples_per_second": 21.271,
367
+ "eval_steps_per_second": 2.679,
368
+ "step": 240
369
+ },
370
+ {
371
+ "epoch": 4.31,
372
+ "learning_rate": 2.7586206896551727e-05,
373
+ "loss": 0.0967,
374
+ "step": 250
375
+ },
376
+ {
377
+ "epoch": 4.31,
378
+ "eval_accuracy": 0.6925925925925925,
379
+ "eval_loss": 1.4684562683105469,
380
+ "eval_runtime": 7.9455,
381
+ "eval_samples_per_second": 33.982,
382
+ "eval_steps_per_second": 4.279,
383
+ "step": 250
384
+ }
385
+ ],
386
+ "max_steps": 290,
387
+ "num_train_epochs": 5,
388
+ "total_flos": 3.059548271717253e+17,
389
+ "trial_name": null,
390
+ "trial_params": null
391
+ }
checkpoint-250/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:779ef95e31750d3943e4f7f30b53438699b481978b1b059b4a24fa8736da35a6
3
+ size 3899
config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "acne",
13
+ "1": "eczema",
14
+ "2": "herpes zoster",
15
+ "3": "hives",
16
+ "4": "lupus",
17
+ "5": "raynauds",
18
+ "6": "tinea",
19
+ "7": "vitiligo"
20
+ },
21
+ "image_size": 224,
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 3072,
24
+ "label2id": {
25
+ "acne": "0",
26
+ "eczema": "1",
27
+ "herpes zoster": "2",
28
+ "hives": "3",
29
+ "lupus": "4",
30
+ "raynauds": "5",
31
+ "tinea": "6",
32
+ "vitiligo": "7"
33
+ },
34
+ "layer_norm_eps": 1e-12,
35
+ "model_type": "vit",
36
+ "num_attention_heads": 12,
37
+ "num_channels": 3,
38
+ "num_hidden_layers": 12,
39
+ "patch_size": 16,
40
+ "problem_type": "single_label_classification",
41
+ "qkv_bias": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.30.2"
44
+ }
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 sha256:92df0ed344bb275826e9a28655a22f187b8af79649ce7be3dea7b52c180f14b0
3
+ size 343287149
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 3.545449175052288e+17,
4
+ "train_loss": 0.48534091012231234,
5
+ "train_runtime": 1027.0889,
6
+ "train_samples_per_second": 4.454,
7
+ "train_steps_per_second": 0.282
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,460 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.2660315036773682,
3
+ "best_model_checkpoint": "./vit-base-beans/checkpoint-100",
4
+ "epoch": 5.0,
5
+ "global_step": 290,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.17,
12
+ "learning_rate": 0.0001931034482758621,
13
+ "loss": 1.7999,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.17,
18
+ "eval_accuracy": 0.25555555555555554,
19
+ "eval_loss": 1.9382611513137817,
20
+ "eval_runtime": 128.8894,
21
+ "eval_samples_per_second": 2.095,
22
+ "eval_steps_per_second": 0.264,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.34,
27
+ "learning_rate": 0.00018620689655172415,
28
+ "loss": 1.5424,
29
+ "step": 20
30
+ },
31
+ {
32
+ "epoch": 0.34,
33
+ "eval_accuracy": 0.4148148148148148,
34
+ "eval_loss": 1.5738633871078491,
35
+ "eval_runtime": 7.0871,
36
+ "eval_samples_per_second": 38.097,
37
+ "eval_steps_per_second": 4.797,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.52,
42
+ "learning_rate": 0.0001793103448275862,
43
+ "loss": 1.257,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.52,
48
+ "eval_accuracy": 0.5777777777777777,
49
+ "eval_loss": 1.3710002899169922,
50
+ "eval_runtime": 8.6728,
51
+ "eval_samples_per_second": 31.132,
52
+ "eval_steps_per_second": 3.92,
53
+ "step": 30
54
+ },
55
+ {
56
+ "epoch": 0.69,
57
+ "learning_rate": 0.00017241379310344826,
58
+ "loss": 1.0721,
59
+ "step": 40
60
+ },
61
+ {
62
+ "epoch": 0.69,
63
+ "eval_accuracy": 0.5074074074074074,
64
+ "eval_loss": 1.4735559225082397,
65
+ "eval_runtime": 7.1381,
66
+ "eval_samples_per_second": 37.825,
67
+ "eval_steps_per_second": 4.763,
68
+ "step": 40
69
+ },
70
+ {
71
+ "epoch": 0.86,
72
+ "learning_rate": 0.00016551724137931035,
73
+ "loss": 1.1026,
74
+ "step": 50
75
+ },
76
+ {
77
+ "epoch": 0.86,
78
+ "eval_accuracy": 0.6370370370370371,
79
+ "eval_loss": 1.2928471565246582,
80
+ "eval_runtime": 8.3556,
81
+ "eval_samples_per_second": 32.314,
82
+ "eval_steps_per_second": 4.069,
83
+ "step": 50
84
+ },
85
+ {
86
+ "epoch": 1.03,
87
+ "learning_rate": 0.00015862068965517243,
88
+ "loss": 0.9359,
89
+ "step": 60
90
+ },
91
+ {
92
+ "epoch": 1.03,
93
+ "eval_accuracy": 0.6074074074074074,
94
+ "eval_loss": 1.2788481712341309,
95
+ "eval_runtime": 7.1042,
96
+ "eval_samples_per_second": 38.006,
97
+ "eval_steps_per_second": 4.786,
98
+ "step": 60
99
+ },
100
+ {
101
+ "epoch": 1.21,
102
+ "learning_rate": 0.00015172413793103449,
103
+ "loss": 0.7,
104
+ "step": 70
105
+ },
106
+ {
107
+ "epoch": 1.21,
108
+ "eval_accuracy": 0.6592592592592592,
109
+ "eval_loss": 1.2249455451965332,
110
+ "eval_runtime": 7.5614,
111
+ "eval_samples_per_second": 35.708,
112
+ "eval_steps_per_second": 4.497,
113
+ "step": 70
114
+ },
115
+ {
116
+ "epoch": 1.38,
117
+ "learning_rate": 0.00014482758620689657,
118
+ "loss": 0.5367,
119
+ "step": 80
120
+ },
121
+ {
122
+ "epoch": 1.38,
123
+ "eval_accuracy": 0.6222222222222222,
124
+ "eval_loss": 1.3300864696502686,
125
+ "eval_runtime": 7.852,
126
+ "eval_samples_per_second": 34.386,
127
+ "eval_steps_per_second": 4.33,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 1.55,
132
+ "learning_rate": 0.00013793103448275863,
133
+ "loss": 0.6017,
134
+ "step": 90
135
+ },
136
+ {
137
+ "epoch": 1.55,
138
+ "eval_accuracy": 0.6666666666666666,
139
+ "eval_loss": 1.2042837142944336,
140
+ "eval_runtime": 8.2241,
141
+ "eval_samples_per_second": 32.83,
142
+ "eval_steps_per_second": 4.134,
143
+ "step": 90
144
+ },
145
+ {
146
+ "epoch": 1.72,
147
+ "learning_rate": 0.00013103448275862068,
148
+ "loss": 0.6007,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 1.72,
153
+ "eval_accuracy": 0.6703703703703704,
154
+ "eval_loss": 1.2660315036773682,
155
+ "eval_runtime": 8.6405,
156
+ "eval_samples_per_second": 31.248,
157
+ "eval_steps_per_second": 3.935,
158
+ "step": 100
159
+ },
160
+ {
161
+ "epoch": 1.9,
162
+ "learning_rate": 0.00012413793103448277,
163
+ "loss": 0.6083,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 1.9,
168
+ "eval_accuracy": 0.6851851851851852,
169
+ "eval_loss": 1.2744337320327759,
170
+ "eval_runtime": 8.1117,
171
+ "eval_samples_per_second": 33.285,
172
+ "eval_steps_per_second": 4.191,
173
+ "step": 110
174
+ },
175
+ {
176
+ "epoch": 2.07,
177
+ "learning_rate": 0.00011724137931034482,
178
+ "loss": 0.4428,
179
+ "step": 120
180
+ },
181
+ {
182
+ "epoch": 2.07,
183
+ "eval_accuracy": 0.6481481481481481,
184
+ "eval_loss": 1.3982332944869995,
185
+ "eval_runtime": 9.593,
186
+ "eval_samples_per_second": 28.145,
187
+ "eval_steps_per_second": 3.544,
188
+ "step": 120
189
+ },
190
+ {
191
+ "epoch": 2.24,
192
+ "learning_rate": 0.0001103448275862069,
193
+ "loss": 0.3967,
194
+ "step": 130
195
+ },
196
+ {
197
+ "epoch": 2.24,
198
+ "eval_accuracy": 0.6851851851851852,
199
+ "eval_loss": 1.2987446784973145,
200
+ "eval_runtime": 7.0774,
201
+ "eval_samples_per_second": 38.15,
202
+ "eval_steps_per_second": 4.804,
203
+ "step": 130
204
+ },
205
+ {
206
+ "epoch": 2.41,
207
+ "learning_rate": 0.00010344827586206898,
208
+ "loss": 0.3308,
209
+ "step": 140
210
+ },
211
+ {
212
+ "epoch": 2.41,
213
+ "eval_accuracy": 0.7,
214
+ "eval_loss": 1.3469077348709106,
215
+ "eval_runtime": 7.0247,
216
+ "eval_samples_per_second": 38.436,
217
+ "eval_steps_per_second": 4.84,
218
+ "step": 140
219
+ },
220
+ {
221
+ "epoch": 2.59,
222
+ "learning_rate": 9.655172413793105e-05,
223
+ "loss": 0.2844,
224
+ "step": 150
225
+ },
226
+ {
227
+ "epoch": 2.59,
228
+ "eval_accuracy": 0.6962962962962963,
229
+ "eval_loss": 1.2884557247161865,
230
+ "eval_runtime": 9.6127,
231
+ "eval_samples_per_second": 28.088,
232
+ "eval_steps_per_second": 3.537,
233
+ "step": 150
234
+ },
235
+ {
236
+ "epoch": 2.76,
237
+ "learning_rate": 8.96551724137931e-05,
238
+ "loss": 0.2313,
239
+ "step": 160
240
+ },
241
+ {
242
+ "epoch": 2.76,
243
+ "eval_accuracy": 0.6851851851851852,
244
+ "eval_loss": 1.4098496437072754,
245
+ "eval_runtime": 8.6491,
246
+ "eval_samples_per_second": 31.217,
247
+ "eval_steps_per_second": 3.931,
248
+ "step": 160
249
+ },
250
+ {
251
+ "epoch": 2.93,
252
+ "learning_rate": 8.275862068965517e-05,
253
+ "loss": 0.2378,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 2.93,
258
+ "eval_accuracy": 0.6851851851851852,
259
+ "eval_loss": 1.4552189111709595,
260
+ "eval_runtime": 8.3406,
261
+ "eval_samples_per_second": 32.372,
262
+ "eval_steps_per_second": 4.076,
263
+ "step": 170
264
+ },
265
+ {
266
+ "epoch": 3.1,
267
+ "learning_rate": 7.586206896551724e-05,
268
+ "loss": 0.1724,
269
+ "step": 180
270
+ },
271
+ {
272
+ "epoch": 3.1,
273
+ "eval_accuracy": 0.6851851851851852,
274
+ "eval_loss": 1.3009414672851562,
275
+ "eval_runtime": 7.8433,
276
+ "eval_samples_per_second": 34.424,
277
+ "eval_steps_per_second": 4.335,
278
+ "step": 180
279
+ },
280
+ {
281
+ "epoch": 3.28,
282
+ "learning_rate": 6.896551724137931e-05,
283
+ "loss": 0.1712,
284
+ "step": 190
285
+ },
286
+ {
287
+ "epoch": 3.28,
288
+ "eval_accuracy": 0.6888888888888889,
289
+ "eval_loss": 1.3433070182800293,
290
+ "eval_runtime": 7.412,
291
+ "eval_samples_per_second": 36.427,
292
+ "eval_steps_per_second": 4.587,
293
+ "step": 190
294
+ },
295
+ {
296
+ "epoch": 3.45,
297
+ "learning_rate": 6.206896551724138e-05,
298
+ "loss": 0.1521,
299
+ "step": 200
300
+ },
301
+ {
302
+ "epoch": 3.45,
303
+ "eval_accuracy": 0.6888888888888889,
304
+ "eval_loss": 1.4084450006484985,
305
+ "eval_runtime": 7.1569,
306
+ "eval_samples_per_second": 37.726,
307
+ "eval_steps_per_second": 4.751,
308
+ "step": 200
309
+ },
310
+ {
311
+ "epoch": 3.62,
312
+ "learning_rate": 5.517241379310345e-05,
313
+ "loss": 0.1178,
314
+ "step": 210
315
+ },
316
+ {
317
+ "epoch": 3.62,
318
+ "eval_accuracy": 0.6925925925925925,
319
+ "eval_loss": 1.4383904933929443,
320
+ "eval_runtime": 15.5468,
321
+ "eval_samples_per_second": 17.367,
322
+ "eval_steps_per_second": 2.187,
323
+ "step": 210
324
+ },
325
+ {
326
+ "epoch": 3.79,
327
+ "learning_rate": 4.827586206896552e-05,
328
+ "loss": 0.0968,
329
+ "step": 220
330
+ },
331
+ {
332
+ "epoch": 3.79,
333
+ "eval_accuracy": 0.6888888888888889,
334
+ "eval_loss": 1.44044029712677,
335
+ "eval_runtime": 8.8794,
336
+ "eval_samples_per_second": 30.407,
337
+ "eval_steps_per_second": 3.829,
338
+ "step": 220
339
+ },
340
+ {
341
+ "epoch": 3.97,
342
+ "learning_rate": 4.1379310344827587e-05,
343
+ "loss": 0.1471,
344
+ "step": 230
345
+ },
346
+ {
347
+ "epoch": 3.97,
348
+ "eval_accuracy": 0.6888888888888889,
349
+ "eval_loss": 1.4447485208511353,
350
+ "eval_runtime": 9.2898,
351
+ "eval_samples_per_second": 29.064,
352
+ "eval_steps_per_second": 3.66,
353
+ "step": 230
354
+ },
355
+ {
356
+ "epoch": 4.14,
357
+ "learning_rate": 3.4482758620689657e-05,
358
+ "loss": 0.1114,
359
+ "step": 240
360
+ },
361
+ {
362
+ "epoch": 4.14,
363
+ "eval_accuracy": 0.6888888888888889,
364
+ "eval_loss": 1.4719408750534058,
365
+ "eval_runtime": 12.6934,
366
+ "eval_samples_per_second": 21.271,
367
+ "eval_steps_per_second": 2.679,
368
+ "step": 240
369
+ },
370
+ {
371
+ "epoch": 4.31,
372
+ "learning_rate": 2.7586206896551727e-05,
373
+ "loss": 0.0967,
374
+ "step": 250
375
+ },
376
+ {
377
+ "epoch": 4.31,
378
+ "eval_accuracy": 0.6925925925925925,
379
+ "eval_loss": 1.4684562683105469,
380
+ "eval_runtime": 7.9455,
381
+ "eval_samples_per_second": 33.982,
382
+ "eval_steps_per_second": 4.279,
383
+ "step": 250
384
+ },
385
+ {
386
+ "epoch": 4.48,
387
+ "learning_rate": 2.0689655172413793e-05,
388
+ "loss": 0.0974,
389
+ "step": 260
390
+ },
391
+ {
392
+ "epoch": 4.48,
393
+ "eval_accuracy": 0.6925925925925925,
394
+ "eval_loss": 1.473760962486267,
395
+ "eval_runtime": 8.2858,
396
+ "eval_samples_per_second": 32.586,
397
+ "eval_steps_per_second": 4.103,
398
+ "step": 260
399
+ },
400
+ {
401
+ "epoch": 4.66,
402
+ "learning_rate": 1.3793103448275863e-05,
403
+ "loss": 0.0647,
404
+ "step": 270
405
+ },
406
+ {
407
+ "epoch": 4.66,
408
+ "eval_accuracy": 0.6925925925925925,
409
+ "eval_loss": 1.4769530296325684,
410
+ "eval_runtime": 7.728,
411
+ "eval_samples_per_second": 34.938,
412
+ "eval_steps_per_second": 4.4,
413
+ "step": 270
414
+ },
415
+ {
416
+ "epoch": 4.83,
417
+ "learning_rate": 6.896551724137932e-06,
418
+ "loss": 0.0899,
419
+ "step": 280
420
+ },
421
+ {
422
+ "epoch": 4.83,
423
+ "eval_accuracy": 0.6925925925925925,
424
+ "eval_loss": 1.4792803525924683,
425
+ "eval_runtime": 7.3284,
426
+ "eval_samples_per_second": 36.843,
427
+ "eval_steps_per_second": 4.64,
428
+ "step": 280
429
+ },
430
+ {
431
+ "epoch": 5.0,
432
+ "learning_rate": 0.0,
433
+ "loss": 0.0763,
434
+ "step": 290
435
+ },
436
+ {
437
+ "epoch": 5.0,
438
+ "eval_accuracy": 0.6925925925925925,
439
+ "eval_loss": 1.4800288677215576,
440
+ "eval_runtime": 7.1527,
441
+ "eval_samples_per_second": 37.748,
442
+ "eval_steps_per_second": 4.753,
443
+ "step": 290
444
+ },
445
+ {
446
+ "epoch": 5.0,
447
+ "step": 290,
448
+ "total_flos": 3.545449175052288e+17,
449
+ "train_loss": 0.48534091012231234,
450
+ "train_runtime": 1027.0889,
451
+ "train_samples_per_second": 4.454,
452
+ "train_steps_per_second": 0.282
453
+ }
454
+ ],
455
+ "max_steps": 290,
456
+ "num_train_epochs": 5,
457
+ "total_flos": 3.545449175052288e+17,
458
+ "trial_name": null,
459
+ "trial_params": null
460
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:779ef95e31750d3943e4f7f30b53438699b481978b1b059b4a24fa8736da35a6
3
+ size 3899