amiune commited on
Commit
06254ac
·
verified ·
1 Parent(s): 159f844

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - image-classification
6
+ base_model: google/mobilenet_v2_1.0_224
7
+ widget:
8
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
9
+ example_title: Tiger
10
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
11
+ example_title: Teapot
12
+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
13
+ example_title: Palace
14
+ ---
15
+
16
+ # Model Trained Using AutoTrain
17
+
18
+ - Problem type: Image Classification
19
+
20
+ ## Validation Metrics
21
+ loss: 0.32454729080200195
22
+
23
+ f1: 1.0
24
+
25
+ precision: 1.0
26
+
27
+ recall: 1.0
28
+
29
+ auc: 1.0
30
+
31
+ accuracy: 1.0
checkpoint-10/config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mobilenet_v2_1.0_224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "MobileNetV2ForImageClassification"
6
+ ],
7
+ "classifier_dropout_prob": 0.2,
8
+ "depth_divisible_by": 8,
9
+ "depth_multiplier": 1.0,
10
+ "expand_ratio": 6,
11
+ "finegrained_output": true,
12
+ "first_layer_is_expansion": true,
13
+ "hidden_act": "relu6",
14
+ "id2label": {
15
+ "0": "maduras",
16
+ "1": "normales"
17
+ },
18
+ "image_size": 224,
19
+ "initializer_range": 0.02,
20
+ "label2id": {
21
+ "maduras": 0,
22
+ "normales": 1
23
+ },
24
+ "layer_norm_eps": 0.001,
25
+ "min_depth": 8,
26
+ "model_type": "mobilenet_v2",
27
+ "num_channels": 3,
28
+ "output_stride": 32,
29
+ "problem_type": "single_label_classification",
30
+ "semantic_loss_ignore_index": 255,
31
+ "tf_padding": true,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.42.2"
34
+ }
checkpoint-10/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bafd93905a48bd8cf97dddb413ff62219998417b768dae17ea28a028e0e13db7
3
+ size 9080216
checkpoint-10/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63bb46a9ccdaceec2612db46931e5ec1ff3d3d4c3f8de89109c3ada069fd90b2
3
+ size 17939322
checkpoint-10/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d930ad2f04334baab7d36f8d6e5860b1998ad51fdc2c02c53192d595680f6037
3
+ size 13990
checkpoint-10/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1927c10173b643e7df22a5e8db1caf9d7b3d4cb0b8e825b825302f019d3952ee
3
+ size 1064
checkpoint-10/trainer_state.json ADDED
@@ -0,0 +1,177 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.32454729080200195,
3
+ "best_model_checkpoint": "clasificacion-bananas/checkpoint-10",
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 10,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5,
13
+ "grad_norm": 17.483074188232422,
14
+ "learning_rate": 2.5e-05,
15
+ "loss": 0.6514,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "grad_norm": 17.71515464782715,
21
+ "learning_rate": 5e-05,
22
+ "loss": 0.699,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 1.0,
27
+ "eval_accuracy": 0.5,
28
+ "eval_auc": 0.0,
29
+ "eval_f1": 0.0,
30
+ "eval_loss": 0.6983617544174194,
31
+ "eval_precision": 0.0,
32
+ "eval_recall": 0.0,
33
+ "eval_runtime": 0.0756,
34
+ "eval_samples_per_second": 26.449,
35
+ "eval_steps_per_second": 13.225,
36
+ "step": 2
37
+ },
38
+ {
39
+ "epoch": 1.5,
40
+ "grad_norm": 18.718172073364258,
41
+ "learning_rate": 4.722222222222222e-05,
42
+ "loss": 0.7047,
43
+ "step": 3
44
+ },
45
+ {
46
+ "epoch": 2.0,
47
+ "grad_norm": 15.484118461608887,
48
+ "learning_rate": 4.4444444444444447e-05,
49
+ "loss": 0.6165,
50
+ "step": 4
51
+ },
52
+ {
53
+ "epoch": 2.0,
54
+ "eval_accuracy": 0.5,
55
+ "eval_auc": 1.0,
56
+ "eval_f1": 0.6666666666666666,
57
+ "eval_loss": 0.6035097241401672,
58
+ "eval_precision": 0.5,
59
+ "eval_recall": 1.0,
60
+ "eval_runtime": 0.0625,
61
+ "eval_samples_per_second": 31.982,
62
+ "eval_steps_per_second": 15.991,
63
+ "step": 4
64
+ },
65
+ {
66
+ "epoch": 2.5,
67
+ "grad_norm": 16.05043601989746,
68
+ "learning_rate": 4.166666666666667e-05,
69
+ "loss": 0.5776,
70
+ "step": 5
71
+ },
72
+ {
73
+ "epoch": 3.0,
74
+ "grad_norm": 16.094289779663086,
75
+ "learning_rate": 3.888888888888889e-05,
76
+ "loss": 0.6129,
77
+ "step": 6
78
+ },
79
+ {
80
+ "epoch": 3.0,
81
+ "eval_accuracy": 0.0,
82
+ "eval_auc": 0.0,
83
+ "eval_f1": 0.0,
84
+ "eval_loss": 0.7506046891212463,
85
+ "eval_precision": 0.0,
86
+ "eval_recall": 0.0,
87
+ "eval_runtime": 0.0622,
88
+ "eval_samples_per_second": 32.154,
89
+ "eval_steps_per_second": 16.077,
90
+ "step": 6
91
+ },
92
+ {
93
+ "epoch": 3.5,
94
+ "grad_norm": 14.702045440673828,
95
+ "learning_rate": 3.611111111111111e-05,
96
+ "loss": 0.5869,
97
+ "step": 7
98
+ },
99
+ {
100
+ "epoch": 4.0,
101
+ "grad_norm": 15.221928596496582,
102
+ "learning_rate": 3.3333333333333335e-05,
103
+ "loss": 0.4532,
104
+ "step": 8
105
+ },
106
+ {
107
+ "epoch": 4.0,
108
+ "eval_accuracy": 0.0,
109
+ "eval_auc": 0.0,
110
+ "eval_f1": 0.0,
111
+ "eval_loss": 0.7223799824714661,
112
+ "eval_precision": 0.0,
113
+ "eval_recall": 0.0,
114
+ "eval_runtime": 0.0638,
115
+ "eval_samples_per_second": 31.339,
116
+ "eval_steps_per_second": 15.669,
117
+ "step": 8
118
+ },
119
+ {
120
+ "epoch": 4.5,
121
+ "grad_norm": 16.220394134521484,
122
+ "learning_rate": 3.055555555555556e-05,
123
+ "loss": 0.5442,
124
+ "step": 9
125
+ },
126
+ {
127
+ "epoch": 5.0,
128
+ "grad_norm": 15.754592895507812,
129
+ "learning_rate": 2.777777777777778e-05,
130
+ "loss": 0.4644,
131
+ "step": 10
132
+ },
133
+ {
134
+ "epoch": 5.0,
135
+ "eval_accuracy": 1.0,
136
+ "eval_auc": 1.0,
137
+ "eval_f1": 1.0,
138
+ "eval_loss": 0.32454729080200195,
139
+ "eval_precision": 1.0,
140
+ "eval_recall": 1.0,
141
+ "eval_runtime": 0.063,
142
+ "eval_samples_per_second": 31.741,
143
+ "eval_steps_per_second": 15.871,
144
+ "step": 10
145
+ }
146
+ ],
147
+ "logging_steps": 1,
148
+ "max_steps": 20,
149
+ "num_input_tokens_seen": 0,
150
+ "num_train_epochs": 10,
151
+ "save_steps": 500,
152
+ "stateful_callbacks": {
153
+ "EarlyStoppingCallback": {
154
+ "args": {
155
+ "early_stopping_patience": 5,
156
+ "early_stopping_threshold": 0.01
157
+ },
158
+ "attributes": {
159
+ "early_stopping_patience_counter": 0
160
+ }
161
+ },
162
+ "TrainerControl": {
163
+ "args": {
164
+ "should_epoch_stop": false,
165
+ "should_evaluate": false,
166
+ "should_log": false,
167
+ "should_save": true,
168
+ "should_training_stop": false
169
+ },
170
+ "attributes": {}
171
+ }
172
+ },
173
+ "total_flos": 105056336609280.0,
174
+ "train_batch_size": 4,
175
+ "trial_name": null,
176
+ "trial_params": null
177
+ }
checkpoint-10/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f595f0a3b7d344b65bdcb5eec572a34c55b067fe4c87d74a112dc4fbba90a30e
3
+ size 5176
config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mobilenet_v2_1.0_224",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "MobileNetV2ForImageClassification"
6
+ ],
7
+ "classifier_dropout_prob": 0.2,
8
+ "depth_divisible_by": 8,
9
+ "depth_multiplier": 1.0,
10
+ "expand_ratio": 6,
11
+ "finegrained_output": true,
12
+ "first_layer_is_expansion": true,
13
+ "hidden_act": "relu6",
14
+ "id2label": {
15
+ "0": "maduras",
16
+ "1": "normales"
17
+ },
18
+ "image_size": 224,
19
+ "initializer_range": 0.02,
20
+ "label2id": {
21
+ "maduras": 0,
22
+ "normales": 1
23
+ },
24
+ "layer_norm_eps": 0.001,
25
+ "min_depth": 8,
26
+ "model_type": "mobilenet_v2",
27
+ "num_channels": 3,
28
+ "output_stride": 32,
29
+ "problem_type": "single_label_classification",
30
+ "semantic_loss_ignore_index": 255,
31
+ "tf_padding": true,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.42.2"
34
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bafd93905a48bd8cf97dddb413ff62219998417b768dae17ea28a028e0e13db7
3
+ size 9080216
preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": {
3
+ "height": 224,
4
+ "width": 224
5
+ },
6
+ "do_center_crop": true,
7
+ "do_normalize": true,
8
+ "do_rescale": true,
9
+ "do_resize": true,
10
+ "image_mean": [
11
+ 0.5,
12
+ 0.5,
13
+ 0.5
14
+ ],
15
+ "image_processor_type": "MobileNetV2ImageProcessor",
16
+ "image_std": [
17
+ 0.5,
18
+ 0.5,
19
+ 0.5
20
+ ],
21
+ "resample": 2,
22
+ "rescale_factor": 0.00392156862745098,
23
+ "size": {
24
+ "shortest_edge": 256
25
+ }
26
+ }
runs/Jul15_17-06-19_r-amiune-prueba-finetuning-6ambs8vf-f9659-du8vo/events.out.tfevents.1721063180.r-amiune-prueba-finetuning-6ambs8vf-f9659-du8vo.98.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5dbbae30039ea4ce262260be667b0a8e02fc0b70a6152a5a1f297d0045067d1f
3
- size 4986
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:181c914e8fa3a165d4551b98de4384b8ad9373fd07f752682d53a10a2bb9dbc4
3
+ size 14564
runs/Jul15_17-06-19_r-amiune-prueba-finetuning-6ambs8vf-f9659-du8vo/events.out.tfevents.1721063192.r-amiune-prueba-finetuning-6ambs8vf-f9659-du8vo.98.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa5d389051b4fd8d0c7af00f4536b5b1c20f64236d618f24a43abae09852fd30
3
+ size 597
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f595f0a3b7d344b65bdcb5eec572a34c55b067fe4c87d74a112dc4fbba90a30e
3
+ size 5176
training_params.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "clasificacion-bananas/autotrain-data",
3
+ "model": "google/mobilenet_v2_1.0_224",
4
+ "username": "amiune",
5
+ "lr": 5e-05,
6
+ "epochs": 10,
7
+ "batch_size": 4,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "logging_steps": -1,
18
+ "project_name": "clasificacion-bananas",
19
+ "auto_find_batch_size": false,
20
+ "mixed_precision": "none",
21
+ "save_total_limit": 1,
22
+ "push_to_hub": true,
23
+ "eval_strategy": "epoch",
24
+ "image_column": "autotrain_image",
25
+ "target_column": "autotrain_label",
26
+ "log": "tensorboard",
27
+ "early_stopping_patience": 5,
28
+ "early_stopping_threshold": 0.01
29
+ }