Test passed
Browse files- all_results.json +14 -14
- config.json +16 -32
- eval_results.json +5 -5
- preprocessor_config.json +10 -11
- pytorch_model.bin +2 -2
- runs/Aug31_13-25-03_surveily-ag-02/events.out.tfevents.1693481104.surveily-ag-02.6684.0 +3 -0
- runs/Aug31_13-25-03_surveily-ag-02/events.out.tfevents.1693481674.surveily-ag-02.6684.1 +3 -0
- runs/Aug31_13-43-24_surveily-ag-02/events.out.tfevents.1693482204.surveily-ag-02.6684.2 +3 -0
- runs/Aug31_13-43-24_surveily-ag-02/events.out.tfevents.1693482893.surveily-ag-02.6684.3 +3 -0
- runs/Aug31_13-55-36_surveily-ag-02/events.out.tfevents.1693482936.surveily-ag-02.6684.4 +3 -0
- runs/Aug31_13-55-36_surveily-ag-02/events.out.tfevents.1693483672.surveily-ag-02.6684.5 +3 -0
- test_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +179 -131
- training_args.bin +1 -1
all_results.json
CHANGED
|
@@ -1,17 +1,17 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"test_accuracy": 0.
|
| 9 |
-
"test_loss": 0.
|
| 10 |
-
"test_runtime": 0.
|
| 11 |
-
"test_samples_per_second":
|
| 12 |
-
"test_steps_per_second":
|
| 13 |
-
"train_loss": 0.
|
| 14 |
-
"train_runtime":
|
| 15 |
-
"train_samples_per_second":
|
| 16 |
-
"train_steps_per_second":
|
| 17 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9915611814345991,
|
| 4 |
+
"eval_loss": 0.023517148569226265,
|
| 5 |
+
"eval_runtime": 14.6863,
|
| 6 |
+
"eval_samples_per_second": 80.687,
|
| 7 |
+
"eval_steps_per_second": 10.145,
|
| 8 |
+
"test_accuracy": 0.9333333333333333,
|
| 9 |
+
"test_loss": 0.32354873418807983,
|
| 10 |
+
"test_runtime": 0.5696,
|
| 11 |
+
"test_samples_per_second": 52.669,
|
| 12 |
+
"test_steps_per_second": 7.022,
|
| 13 |
+
"train_loss": 0.004172653943921321,
|
| 14 |
+
"train_runtime": 720.5262,
|
| 15 |
+
"train_samples_per_second": 35.079,
|
| 16 |
+
"train_steps_per_second": 3.511
|
| 17 |
}
|
config.json
CHANGED
|
@@ -1,50 +1,34 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"architectures": [
|
| 4 |
-
"
|
| 5 |
-
],
|
| 6 |
-
"depths": [
|
| 7 |
-
3,
|
| 8 |
-
4,
|
| 9 |
-
6,
|
| 10 |
-
3
|
| 11 |
-
],
|
| 12 |
-
"downsample_in_first_stage": false,
|
| 13 |
-
"embedding_size": 64,
|
| 14 |
-
"hidden_act": "relu",
|
| 15 |
-
"hidden_sizes": [
|
| 16 |
-
256,
|
| 17 |
-
512,
|
| 18 |
-
1024,
|
| 19 |
-
2048
|
| 20 |
],
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
"id2label": {
|
| 22 |
"0": "cctv",
|
| 23 |
"1": "phone",
|
| 24 |
"2": "topdown"
|
| 25 |
},
|
|
|
|
|
|
|
|
|
|
| 26 |
"label2id": {
|
| 27 |
"cctv": "0",
|
| 28 |
"phone": "1",
|
| 29 |
"topdown": "2"
|
| 30 |
},
|
| 31 |
-
"
|
| 32 |
-
"model_type": "
|
|
|
|
| 33 |
"num_channels": 3,
|
| 34 |
-
"
|
| 35 |
-
|
| 36 |
-
],
|
| 37 |
-
"out_indices": [
|
| 38 |
-
4
|
| 39 |
-
],
|
| 40 |
"problem_type": "single_label_classification",
|
| 41 |
-
"
|
| 42 |
-
"stem",
|
| 43 |
-
"stage1",
|
| 44 |
-
"stage2",
|
| 45 |
-
"stage3",
|
| 46 |
-
"stage4"
|
| 47 |
-
],
|
| 48 |
"torch_dtype": "float32",
|
| 49 |
"transformers_version": "4.31.0"
|
| 50 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
| 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": "cctv",
|
| 13 |
"1": "phone",
|
| 14 |
"2": "topdown"
|
| 15 |
},
|
| 16 |
+
"image_size": 224,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 3072,
|
| 19 |
"label2id": {
|
| 20 |
"cctv": "0",
|
| 21 |
"phone": "1",
|
| 22 |
"topdown": "2"
|
| 23 |
},
|
| 24 |
+
"layer_norm_eps": 1e-12,
|
| 25 |
+
"model_type": "vit",
|
| 26 |
+
"num_attention_heads": 12,
|
| 27 |
"num_channels": 3,
|
| 28 |
+
"num_hidden_layers": 12,
|
| 29 |
+
"patch_size": 16,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
"problem_type": "single_label_classification",
|
| 31 |
+
"qkv_bias": true,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
"torch_dtype": "float32",
|
| 33 |
"transformers_version": "4.31.0"
|
| 34 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
+
"eval_accuracy": 0.9915611814345991,
|
| 4 |
+
"eval_loss": 0.023517148569226265,
|
| 5 |
+
"eval_runtime": 14.6863,
|
| 6 |
+
"eval_samples_per_second": 80.687,
|
| 7 |
+
"eval_steps_per_second": 10.145
|
| 8 |
}
|
preprocessor_config.json
CHANGED
|
@@ -1,23 +1,22 @@
|
|
| 1 |
{
|
| 2 |
-
"crop_pct": 0.875,
|
| 3 |
"do_normalize": true,
|
| 4 |
"do_rescale": true,
|
| 5 |
"do_resize": true,
|
| 6 |
-
"feature_extractor_type": "ConvNextFeatureExtractor",
|
| 7 |
"image_mean": [
|
| 8 |
-
0.
|
| 9 |
-
0.
|
| 10 |
-
0.
|
| 11 |
],
|
| 12 |
-
"image_processor_type": "
|
| 13 |
"image_std": [
|
| 14 |
-
0.
|
| 15 |
-
0.
|
| 16 |
-
0.
|
| 17 |
],
|
| 18 |
-
"resample":
|
| 19 |
"rescale_factor": 0.00392156862745098,
|
| 20 |
"size": {
|
| 21 |
-
"
|
|
|
|
| 22 |
}
|
| 23 |
}
|
|
|
|
| 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
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d9e93a397eb093ec4fe14e8f7d6fb52de2afc10b7ad8b9ef877e9aa5d2a458a
|
| 3 |
+
size 343271789
|
runs/Aug31_13-25-03_surveily-ag-02/events.out.tfevents.1693481104.surveily-ag-02.6684.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a8150829bfd690e36c5e4280aed25f63f65c18dcec6b040ef5939f7fc6853df
|
| 3 |
+
size 11453
|
runs/Aug31_13-25-03_surveily-ag-02/events.out.tfevents.1693481674.surveily-ag-02.6684.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd2ee4cd89b083af9df09cc39f4788f721476b567541854e5b4eb9d6d9479790
|
| 3 |
+
size 411
|
runs/Aug31_13-43-24_surveily-ag-02/events.out.tfevents.1693482204.surveily-ag-02.6684.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6db5aba99827c972325207483473787c02fcf1433e9e9bce2ac2dbae8cd68d0a
|
| 3 |
+
size 11610
|
runs/Aug31_13-43-24_surveily-ag-02/events.out.tfevents.1693482893.surveily-ag-02.6684.3
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60a1b0454aa07e5a92c413ebc60514fa0bed3631b9017380fc60326928122fe4
|
| 3 |
+
size 411
|
runs/Aug31_13-55-36_surveily-ag-02/events.out.tfevents.1693482936.surveily-ag-02.6684.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1f532bb293059f29bf35a92c097c9eb47302ea9222cd71ab60cfef1b10a8815
|
| 3 |
+
size 12247
|
runs/Aug31_13-55-36_surveily-ag-02/events.out.tfevents.1693483672.surveily-ag-02.6684.5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b5c396d8de2a5d761ce4147709ecbdcf736b21baf22c82cc36df526257a33ae
|
| 3 |
+
size 411
|
test_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
-
"test_accuracy": 0.
|
| 3 |
-
"test_loss": 0.
|
| 4 |
-
"test_runtime": 0.
|
| 5 |
-
"test_samples_per_second":
|
| 6 |
-
"test_steps_per_second":
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"test_accuracy": 0.9333333333333333,
|
| 3 |
+
"test_loss": 0.32354873418807983,
|
| 4 |
+
"test_runtime": 0.5696,
|
| 5 |
+
"test_samples_per_second": 52.669,
|
| 6 |
+
"test_steps_per_second": 7.022
|
| 7 |
}
|
train_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples_per_second":
|
| 6 |
-
"train_steps_per_second":
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
+
"train_loss": 0.004172653943921321,
|
| 4 |
+
"train_runtime": 720.5262,
|
| 5 |
+
"train_samples_per_second": 35.079,
|
| 6 |
+
"train_steps_per_second": 3.511
|
| 7 |
}
|
trainer_state.json
CHANGED
|
@@ -1,235 +1,283 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "./models/camera-type/checkpoint-
|
| 4 |
"epoch": 5.0,
|
| 5 |
-
"global_step":
|
| 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.
|
| 12 |
-
"learning_rate": 9.
|
| 13 |
-
"loss": 0.
|
| 14 |
"step": 100
|
| 15 |
},
|
| 16 |
{
|
| 17 |
-
"epoch": 0.
|
| 18 |
-
"learning_rate": 9.
|
| 19 |
-
"loss": 0.
|
| 20 |
"step": 200
|
| 21 |
},
|
| 22 |
{
|
| 23 |
-
"epoch": 0.
|
| 24 |
-
"eval_accuracy": 0.
|
| 25 |
-
"eval_loss": 0.
|
| 26 |
-
"eval_runtime":
|
| 27 |
-
"eval_samples_per_second":
|
| 28 |
-
"eval_steps_per_second":
|
| 29 |
"step": 200
|
| 30 |
},
|
| 31 |
{
|
| 32 |
-
"epoch": 0.
|
| 33 |
-
"learning_rate": 8.
|
| 34 |
-
"loss": 0.
|
| 35 |
"step": 300
|
| 36 |
},
|
| 37 |
{
|
| 38 |
-
"epoch": 0.
|
| 39 |
-
"learning_rate": 8.
|
| 40 |
-
"loss": 0.
|
| 41 |
"step": 400
|
| 42 |
},
|
| 43 |
{
|
| 44 |
-
"epoch": 0.
|
| 45 |
-
"eval_accuracy": 0.
|
| 46 |
-
"eval_loss": 0.
|
| 47 |
-
"eval_runtime":
|
| 48 |
-
"eval_samples_per_second":
|
| 49 |
-
"eval_steps_per_second":
|
| 50 |
"step": 400
|
| 51 |
},
|
| 52 |
{
|
| 53 |
-
"epoch":
|
| 54 |
-
"learning_rate":
|
| 55 |
-
"loss": 0.
|
| 56 |
"step": 500
|
| 57 |
},
|
| 58 |
{
|
| 59 |
-
"epoch": 1.
|
| 60 |
-
"learning_rate": 7.
|
| 61 |
-
"loss": 0.
|
| 62 |
"step": 600
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch": 1.
|
| 66 |
-
"eval_accuracy": 0.
|
| 67 |
-
"eval_loss": 0.
|
| 68 |
-
"eval_runtime":
|
| 69 |
-
"eval_samples_per_second":
|
| 70 |
-
"eval_steps_per_second":
|
| 71 |
"step": 600
|
| 72 |
},
|
| 73 |
{
|
| 74 |
-
"epoch": 1.
|
| 75 |
-
"learning_rate":
|
| 76 |
-
"loss": 0.
|
| 77 |
"step": 700
|
| 78 |
},
|
| 79 |
{
|
| 80 |
-
"epoch": 1.
|
| 81 |
-
"learning_rate": 6.
|
| 82 |
-
"loss": 0.
|
| 83 |
"step": 800
|
| 84 |
},
|
| 85 |
{
|
| 86 |
-
"epoch": 1.
|
| 87 |
-
"eval_accuracy": 0.
|
| 88 |
-
"eval_loss": 0.
|
| 89 |
-
"eval_runtime":
|
| 90 |
-
"eval_samples_per_second":
|
| 91 |
-
"eval_steps_per_second":
|
| 92 |
"step": 800
|
| 93 |
},
|
| 94 |
{
|
| 95 |
-
"epoch":
|
| 96 |
-
"learning_rate":
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 900
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch":
|
| 102 |
-
"learning_rate":
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 1000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch":
|
| 108 |
-
"eval_accuracy": 0.
|
| 109 |
-
"eval_loss": 0.
|
| 110 |
-
"eval_runtime":
|
| 111 |
-
"eval_samples_per_second":
|
| 112 |
-
"eval_steps_per_second":
|
| 113 |
"step": 1000
|
| 114 |
},
|
| 115 |
{
|
| 116 |
-
"epoch": 2.
|
| 117 |
-
"learning_rate":
|
| 118 |
-
"loss": 0.
|
| 119 |
"step": 1100
|
| 120 |
},
|
| 121 |
{
|
| 122 |
-
"epoch": 2.
|
| 123 |
-
"learning_rate":
|
| 124 |
-
"loss": 0.
|
| 125 |
"step": 1200
|
| 126 |
},
|
| 127 |
{
|
| 128 |
-
"epoch": 2.
|
| 129 |
-
"eval_accuracy": 0.
|
| 130 |
-
"eval_loss": 0.
|
| 131 |
-
"eval_runtime":
|
| 132 |
-
"eval_samples_per_second":
|
| 133 |
-
"eval_steps_per_second":
|
| 134 |
"step": 1200
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch":
|
| 138 |
-
"learning_rate":
|
| 139 |
-
"loss": 0.
|
| 140 |
"step": 1300
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch":
|
| 144 |
-
"learning_rate":
|
| 145 |
-
"loss": 0.
|
| 146 |
"step": 1400
|
| 147 |
},
|
| 148 |
{
|
| 149 |
-
"epoch":
|
| 150 |
-
"eval_accuracy": 0.
|
| 151 |
-
"eval_loss": 0.
|
| 152 |
-
"eval_runtime":
|
| 153 |
-
"eval_samples_per_second":
|
| 154 |
-
"eval_steps_per_second":
|
| 155 |
"step": 1400
|
| 156 |
},
|
| 157 |
{
|
| 158 |
-
"epoch":
|
| 159 |
-
"learning_rate":
|
| 160 |
-
"loss": 0.
|
| 161 |
"step": 1500
|
| 162 |
},
|
| 163 |
{
|
| 164 |
-
"epoch": 3.
|
| 165 |
-
"learning_rate":
|
| 166 |
-
"loss": 0.
|
| 167 |
"step": 1600
|
| 168 |
},
|
| 169 |
{
|
| 170 |
-
"epoch": 3.
|
| 171 |
-
"eval_accuracy": 0.
|
| 172 |
-
"eval_loss": 0.
|
| 173 |
-
"eval_runtime":
|
| 174 |
-
"eval_samples_per_second":
|
| 175 |
-
"eval_steps_per_second":
|
| 176 |
"step": 1600
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch":
|
| 180 |
-
"learning_rate":
|
| 181 |
-
"loss": 0.
|
| 182 |
"step": 1700
|
| 183 |
},
|
| 184 |
{
|
| 185 |
-
"epoch":
|
| 186 |
-
"learning_rate":
|
| 187 |
-
"loss": 0.
|
| 188 |
"step": 1800
|
| 189 |
},
|
| 190 |
{
|
| 191 |
-
"epoch":
|
| 192 |
-
"eval_accuracy": 0.
|
| 193 |
-
"eval_loss": 0.
|
| 194 |
-
"eval_runtime":
|
| 195 |
-
"eval_samples_per_second":
|
| 196 |
-
"eval_steps_per_second":
|
| 197 |
"step": 1800
|
| 198 |
},
|
| 199 |
{
|
| 200 |
-
"epoch":
|
| 201 |
-
"learning_rate":
|
| 202 |
-
"loss": 0.
|
| 203 |
"step": 1900
|
| 204 |
},
|
| 205 |
{
|
| 206 |
-
"epoch":
|
| 207 |
-
"learning_rate":
|
| 208 |
-
"loss": 0.
|
| 209 |
"step": 2000
|
| 210 |
},
|
| 211 |
{
|
| 212 |
-
"epoch":
|
| 213 |
-
"eval_accuracy": 0.
|
| 214 |
-
"eval_loss": 0.
|
| 215 |
-
"eval_runtime":
|
| 216 |
-
"eval_samples_per_second":
|
| 217 |
-
"eval_steps_per_second":
|
| 218 |
"step": 2000
|
| 219 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 220 |
{
|
| 221 |
"epoch": 5.0,
|
| 222 |
-
"step":
|
| 223 |
-
"total_flos":
|
| 224 |
-
"train_loss": 0.
|
| 225 |
-
"train_runtime":
|
| 226 |
-
"train_samples_per_second":
|
| 227 |
-
"train_steps_per_second":
|
| 228 |
}
|
| 229 |
],
|
| 230 |
-
"max_steps":
|
| 231 |
"num_train_epochs": 5,
|
| 232 |
-
"total_flos":
|
| 233 |
"trial_name": null,
|
| 234 |
"trial_params": null
|
| 235 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.023517148569226265,
|
| 3 |
+
"best_model_checkpoint": "./models/camera-type/checkpoint-200",
|
| 4 |
"epoch": 5.0,
|
| 5 |
+
"global_step": 2530,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 0.2,
|
| 12 |
+
"learning_rate": 9.604743083003953e-05,
|
| 13 |
+
"loss": 0.0703,
|
| 14 |
"step": 100
|
| 15 |
},
|
| 16 |
{
|
| 17 |
+
"epoch": 0.4,
|
| 18 |
+
"learning_rate": 9.213438735177866e-05,
|
| 19 |
+
"loss": 0.0064,
|
| 20 |
"step": 200
|
| 21 |
},
|
| 22 |
{
|
| 23 |
+
"epoch": 0.4,
|
| 24 |
+
"eval_accuracy": 0.9915611814345991,
|
| 25 |
+
"eval_loss": 0.023517148569226265,
|
| 26 |
+
"eval_runtime": 13.6256,
|
| 27 |
+
"eval_samples_per_second": 86.968,
|
| 28 |
+
"eval_steps_per_second": 10.935,
|
| 29 |
"step": 200
|
| 30 |
},
|
| 31 |
{
|
| 32 |
+
"epoch": 0.59,
|
| 33 |
+
"learning_rate": 8.818181818181818e-05,
|
| 34 |
+
"loss": 0.015,
|
| 35 |
"step": 300
|
| 36 |
},
|
| 37 |
{
|
| 38 |
+
"epoch": 0.79,
|
| 39 |
+
"learning_rate": 8.426877470355731e-05,
|
| 40 |
+
"loss": 0.0034,
|
| 41 |
"step": 400
|
| 42 |
},
|
| 43 |
{
|
| 44 |
+
"epoch": 0.79,
|
| 45 |
+
"eval_accuracy": 0.9940928270042194,
|
| 46 |
+
"eval_loss": 0.03918765112757683,
|
| 47 |
+
"eval_runtime": 26.2367,
|
| 48 |
+
"eval_samples_per_second": 45.166,
|
| 49 |
+
"eval_steps_per_second": 5.679,
|
| 50 |
"step": 400
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"epoch": 0.99,
|
| 54 |
+
"learning_rate": 8.031620553359685e-05,
|
| 55 |
+
"loss": 0.0036,
|
| 56 |
"step": 500
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"epoch": 1.19,
|
| 60 |
+
"learning_rate": 7.636363636363637e-05,
|
| 61 |
+
"loss": 0.0066,
|
| 62 |
"step": 600
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 1.19,
|
| 66 |
+
"eval_accuracy": 0.9839662447257383,
|
| 67 |
+
"eval_loss": 0.10105644911527634,
|
| 68 |
+
"eval_runtime": 13.5269,
|
| 69 |
+
"eval_samples_per_second": 87.603,
|
| 70 |
+
"eval_steps_per_second": 11.015,
|
| 71 |
"step": 600
|
| 72 |
},
|
| 73 |
{
|
| 74 |
+
"epoch": 1.38,
|
| 75 |
+
"learning_rate": 7.24110671936759e-05,
|
| 76 |
+
"loss": 0.0001,
|
| 77 |
"step": 700
|
| 78 |
},
|
| 79 |
{
|
| 80 |
+
"epoch": 1.58,
|
| 81 |
+
"learning_rate": 6.845849802371542e-05,
|
| 82 |
+
"loss": 0.0,
|
| 83 |
"step": 800
|
| 84 |
},
|
| 85 |
{
|
| 86 |
+
"epoch": 1.58,
|
| 87 |
+
"eval_accuracy": 0.9839662447257383,
|
| 88 |
+
"eval_loss": 0.12266893684864044,
|
| 89 |
+
"eval_runtime": 14.2674,
|
| 90 |
+
"eval_samples_per_second": 83.057,
|
| 91 |
+
"eval_steps_per_second": 10.443,
|
| 92 |
"step": 800
|
| 93 |
},
|
| 94 |
{
|
| 95 |
+
"epoch": 1.78,
|
| 96 |
+
"learning_rate": 6.450592885375494e-05,
|
| 97 |
+
"loss": 0.0,
|
| 98 |
"step": 900
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 1.98,
|
| 102 |
+
"learning_rate": 6.055335968379446e-05,
|
| 103 |
+
"loss": 0.0,
|
| 104 |
"step": 1000
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"epoch": 1.98,
|
| 108 |
+
"eval_accuracy": 0.9839662447257383,
|
| 109 |
+
"eval_loss": 0.12320054322481155,
|
| 110 |
+
"eval_runtime": 13.4323,
|
| 111 |
+
"eval_samples_per_second": 88.22,
|
| 112 |
+
"eval_steps_per_second": 11.093,
|
| 113 |
"step": 1000
|
| 114 |
},
|
| 115 |
{
|
| 116 |
+
"epoch": 2.17,
|
| 117 |
+
"learning_rate": 5.660079051383399e-05,
|
| 118 |
+
"loss": 0.0,
|
| 119 |
"step": 1100
|
| 120 |
},
|
| 121 |
{
|
| 122 |
+
"epoch": 2.37,
|
| 123 |
+
"learning_rate": 5.2648221343873516e-05,
|
| 124 |
+
"loss": 0.0,
|
| 125 |
"step": 1200
|
| 126 |
},
|
| 127 |
{
|
| 128 |
+
"epoch": 2.37,
|
| 129 |
+
"eval_accuracy": 0.9839662447257383,
|
| 130 |
+
"eval_loss": 0.143290176987648,
|
| 131 |
+
"eval_runtime": 14.5978,
|
| 132 |
+
"eval_samples_per_second": 81.177,
|
| 133 |
+
"eval_steps_per_second": 10.207,
|
| 134 |
"step": 1200
|
| 135 |
},
|
| 136 |
{
|
| 137 |
+
"epoch": 2.57,
|
| 138 |
+
"learning_rate": 4.8695652173913046e-05,
|
| 139 |
+
"loss": 0.0,
|
| 140 |
"step": 1300
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 2.77,
|
| 144 |
+
"learning_rate": 4.4743083003952576e-05,
|
| 145 |
+
"loss": 0.0,
|
| 146 |
"step": 1400
|
| 147 |
},
|
| 148 |
{
|
| 149 |
+
"epoch": 2.77,
|
| 150 |
+
"eval_accuracy": 0.9839662447257383,
|
| 151 |
+
"eval_loss": 0.14161579310894012,
|
| 152 |
+
"eval_runtime": 13.9736,
|
| 153 |
+
"eval_samples_per_second": 84.803,
|
| 154 |
+
"eval_steps_per_second": 10.663,
|
| 155 |
"step": 1400
|
| 156 |
},
|
| 157 |
{
|
| 158 |
+
"epoch": 2.96,
|
| 159 |
+
"learning_rate": 4.079051383399209e-05,
|
| 160 |
+
"loss": 0.0,
|
| 161 |
"step": 1500
|
| 162 |
},
|
| 163 |
{
|
| 164 |
+
"epoch": 3.16,
|
| 165 |
+
"learning_rate": 3.6837944664031623e-05,
|
| 166 |
+
"loss": 0.0,
|
| 167 |
"step": 1600
|
| 168 |
},
|
| 169 |
{
|
| 170 |
+
"epoch": 3.16,
|
| 171 |
+
"eval_accuracy": 0.9839662447257383,
|
| 172 |
+
"eval_loss": 0.14079466462135315,
|
| 173 |
+
"eval_runtime": 13.3148,
|
| 174 |
+
"eval_samples_per_second": 88.999,
|
| 175 |
+
"eval_steps_per_second": 11.191,
|
| 176 |
"step": 1600
|
| 177 |
},
|
| 178 |
{
|
| 179 |
+
"epoch": 3.36,
|
| 180 |
+
"learning_rate": 3.288537549407115e-05,
|
| 181 |
+
"loss": 0.0,
|
| 182 |
"step": 1700
|
| 183 |
},
|
| 184 |
{
|
| 185 |
+
"epoch": 3.56,
|
| 186 |
+
"learning_rate": 2.8932806324110674e-05,
|
| 187 |
+
"loss": 0.0,
|
| 188 |
"step": 1800
|
| 189 |
},
|
| 190 |
{
|
| 191 |
+
"epoch": 3.56,
|
| 192 |
+
"eval_accuracy": 0.9839662447257383,
|
| 193 |
+
"eval_loss": 0.140061616897583,
|
| 194 |
+
"eval_runtime": 13.4092,
|
| 195 |
+
"eval_samples_per_second": 88.372,
|
| 196 |
+
"eval_steps_per_second": 11.112,
|
| 197 |
"step": 1800
|
| 198 |
},
|
| 199 |
{
|
| 200 |
+
"epoch": 3.75,
|
| 201 |
+
"learning_rate": 2.4980237154150198e-05,
|
| 202 |
+
"loss": 0.0,
|
| 203 |
"step": 1900
|
| 204 |
},
|
| 205 |
{
|
| 206 |
+
"epoch": 3.95,
|
| 207 |
+
"learning_rate": 2.1027667984189725e-05,
|
| 208 |
+
"loss": 0.0,
|
| 209 |
"step": 2000
|
| 210 |
},
|
| 211 |
{
|
| 212 |
+
"epoch": 3.95,
|
| 213 |
+
"eval_accuracy": 0.9839662447257383,
|
| 214 |
+
"eval_loss": 0.13938628137111664,
|
| 215 |
+
"eval_runtime": 13.5631,
|
| 216 |
+
"eval_samples_per_second": 87.369,
|
| 217 |
+
"eval_steps_per_second": 10.986,
|
| 218 |
"step": 2000
|
| 219 |
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 4.15,
|
| 222 |
+
"learning_rate": 1.707509881422925e-05,
|
| 223 |
+
"loss": 0.0,
|
| 224 |
+
"step": 2100
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 4.35,
|
| 228 |
+
"learning_rate": 1.3122529644268775e-05,
|
| 229 |
+
"loss": 0.0,
|
| 230 |
+
"step": 2200
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 4.35,
|
| 234 |
+
"eval_accuracy": 0.9839662447257383,
|
| 235 |
+
"eval_loss": 0.13903304934501648,
|
| 236 |
+
"eval_runtime": 14.2016,
|
| 237 |
+
"eval_samples_per_second": 83.441,
|
| 238 |
+
"eval_steps_per_second": 10.492,
|
| 239 |
+
"step": 2200
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 4.55,
|
| 243 |
+
"learning_rate": 9.1699604743083e-06,
|
| 244 |
+
"loss": 0.0,
|
| 245 |
+
"step": 2300
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 4.74,
|
| 249 |
+
"learning_rate": 5.217391304347826e-06,
|
| 250 |
+
"loss": 0.0,
|
| 251 |
+
"step": 2400
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 4.74,
|
| 255 |
+
"eval_accuracy": 0.9839662447257383,
|
| 256 |
+
"eval_loss": 0.13887113332748413,
|
| 257 |
+
"eval_runtime": 13.5995,
|
| 258 |
+
"eval_samples_per_second": 87.136,
|
| 259 |
+
"eval_steps_per_second": 10.956,
|
| 260 |
+
"step": 2400
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 4.94,
|
| 264 |
+
"learning_rate": 1.2648221343873517e-06,
|
| 265 |
+
"loss": 0.0,
|
| 266 |
+
"step": 2500
|
| 267 |
+
},
|
| 268 |
{
|
| 269 |
"epoch": 5.0,
|
| 270 |
+
"step": 2530,
|
| 271 |
+
"total_flos": 1.9586275919110656e+18,
|
| 272 |
+
"train_loss": 0.004172653943921321,
|
| 273 |
+
"train_runtime": 720.5262,
|
| 274 |
+
"train_samples_per_second": 35.079,
|
| 275 |
+
"train_steps_per_second": 3.511
|
| 276 |
}
|
| 277 |
],
|
| 278 |
+
"max_steps": 2530,
|
| 279 |
"num_train_epochs": 5,
|
| 280 |
+
"total_flos": 1.9586275919110656e+18,
|
| 281 |
"trial_name": null,
|
| 282 |
"trial_params": null
|
| 283 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4027
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a891659bbef29a096768cfc757449f649d7adc620258759a34f11798e1676ca
|
| 3 |
size 4027
|