Nonabzbssbbsbs commited on
Commit
d7a9747
·
verified ·
1 Parent(s): 3f53637

Trash-Net-Fine-Tuned-Demo

Browse files
Files changed (5) hide show
  1. README.md +54 -0
  2. config.json +244 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +24 -0
  5. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: prithivMLmods/Trash-Net
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: trashnet_results
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # trashnet_results
16
+
17
+ This model is a fine-tuned version of [prithivMLmods/Trash-Net](https://huggingface.co/prithivMLmods/Trash-Net) on an unknown dataset.
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 5e-05
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 1
43
+ - mixed_precision_training: Native AMP
44
+
45
+ ### Training results
46
+
47
+
48
+
49
+ ### Framework versions
50
+
51
+ - Transformers 4.57.1
52
+ - Pytorch 2.8.0+cu126
53
+ - Datasets 4.0.0
54
+ - Tokenizers 0.22.1
config.json ADDED
@@ -0,0 +1,244 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "SiglipForImageClassification"
4
+ ],
5
+ "dtype": "float32",
6
+ "id2label": {
7
+ "0": "LABEL_0",
8
+ "1": "LABEL_1",
9
+ "2": "LABEL_2",
10
+ "3": "LABEL_3",
11
+ "4": "LABEL_4",
12
+ "5": "LABEL_5",
13
+ "6": "LABEL_6",
14
+ "7": "LABEL_7",
15
+ "8": "LABEL_8",
16
+ "9": "LABEL_9",
17
+ "10": "LABEL_10",
18
+ "11": "LABEL_11",
19
+ "12": "LABEL_12",
20
+ "13": "LABEL_13",
21
+ "14": "LABEL_14",
22
+ "15": "LABEL_15",
23
+ "16": "LABEL_16",
24
+ "17": "LABEL_17",
25
+ "18": "LABEL_18",
26
+ "19": "LABEL_19",
27
+ "20": "LABEL_20",
28
+ "21": "LABEL_21",
29
+ "22": "LABEL_22",
30
+ "23": "LABEL_23",
31
+ "24": "LABEL_24",
32
+ "25": "LABEL_25",
33
+ "26": "LABEL_26",
34
+ "27": "LABEL_27",
35
+ "28": "LABEL_28",
36
+ "29": "LABEL_29",
37
+ "30": "LABEL_30",
38
+ "31": "LABEL_31",
39
+ "32": "LABEL_32",
40
+ "33": "LABEL_33",
41
+ "34": "LABEL_34",
42
+ "35": "LABEL_35",
43
+ "36": "LABEL_36",
44
+ "37": "LABEL_37",
45
+ "38": "LABEL_38",
46
+ "39": "LABEL_39",
47
+ "40": "LABEL_40",
48
+ "41": "LABEL_41",
49
+ "42": "LABEL_42",
50
+ "43": "LABEL_43",
51
+ "44": "LABEL_44",
52
+ "45": "LABEL_45",
53
+ "46": "LABEL_46",
54
+ "47": "LABEL_47",
55
+ "48": "LABEL_48",
56
+ "49": "LABEL_49",
57
+ "50": "LABEL_50",
58
+ "51": "LABEL_51",
59
+ "52": "LABEL_52",
60
+ "53": "LABEL_53",
61
+ "54": "LABEL_54",
62
+ "55": "LABEL_55",
63
+ "56": "LABEL_56",
64
+ "57": "LABEL_57",
65
+ "58": "LABEL_58",
66
+ "59": "LABEL_59",
67
+ "60": "LABEL_60",
68
+ "61": "LABEL_61",
69
+ "62": "LABEL_62",
70
+ "63": "LABEL_63",
71
+ "64": "LABEL_64",
72
+ "65": "LABEL_65",
73
+ "66": "LABEL_66",
74
+ "67": "LABEL_67",
75
+ "68": "LABEL_68",
76
+ "69": "LABEL_69",
77
+ "70": "LABEL_70",
78
+ "71": "LABEL_71",
79
+ "72": "LABEL_72",
80
+ "73": "LABEL_73",
81
+ "74": "LABEL_74",
82
+ "75": "LABEL_75",
83
+ "76": "LABEL_76",
84
+ "77": "LABEL_77",
85
+ "78": "LABEL_78",
86
+ "79": "LABEL_79",
87
+ "80": "LABEL_80",
88
+ "81": "LABEL_81",
89
+ "82": "LABEL_82",
90
+ "83": "LABEL_83",
91
+ "84": "LABEL_84",
92
+ "85": "LABEL_85",
93
+ "86": "LABEL_86",
94
+ "87": "LABEL_87",
95
+ "88": "LABEL_88",
96
+ "89": "LABEL_89",
97
+ "90": "LABEL_90",
98
+ "91": "LABEL_91",
99
+ "92": "LABEL_92",
100
+ "93": "LABEL_93",
101
+ "94": "LABEL_94",
102
+ "95": "LABEL_95",
103
+ "96": "LABEL_96",
104
+ "97": "LABEL_97",
105
+ "98": "LABEL_98",
106
+ "99": "LABEL_99",
107
+ "100": "LABEL_100"
108
+ },
109
+ "initializer_factor": 1.0,
110
+ "label2id": {
111
+ "LABEL_0": 0,
112
+ "LABEL_1": 1,
113
+ "LABEL_10": 10,
114
+ "LABEL_100": 100,
115
+ "LABEL_11": 11,
116
+ "LABEL_12": 12,
117
+ "LABEL_13": 13,
118
+ "LABEL_14": 14,
119
+ "LABEL_15": 15,
120
+ "LABEL_16": 16,
121
+ "LABEL_17": 17,
122
+ "LABEL_18": 18,
123
+ "LABEL_19": 19,
124
+ "LABEL_2": 2,
125
+ "LABEL_20": 20,
126
+ "LABEL_21": 21,
127
+ "LABEL_22": 22,
128
+ "LABEL_23": 23,
129
+ "LABEL_24": 24,
130
+ "LABEL_25": 25,
131
+ "LABEL_26": 26,
132
+ "LABEL_27": 27,
133
+ "LABEL_28": 28,
134
+ "LABEL_29": 29,
135
+ "LABEL_3": 3,
136
+ "LABEL_30": 30,
137
+ "LABEL_31": 31,
138
+ "LABEL_32": 32,
139
+ "LABEL_33": 33,
140
+ "LABEL_34": 34,
141
+ "LABEL_35": 35,
142
+ "LABEL_36": 36,
143
+ "LABEL_37": 37,
144
+ "LABEL_38": 38,
145
+ "LABEL_39": 39,
146
+ "LABEL_4": 4,
147
+ "LABEL_40": 40,
148
+ "LABEL_41": 41,
149
+ "LABEL_42": 42,
150
+ "LABEL_43": 43,
151
+ "LABEL_44": 44,
152
+ "LABEL_45": 45,
153
+ "LABEL_46": 46,
154
+ "LABEL_47": 47,
155
+ "LABEL_48": 48,
156
+ "LABEL_49": 49,
157
+ "LABEL_5": 5,
158
+ "LABEL_50": 50,
159
+ "LABEL_51": 51,
160
+ "LABEL_52": 52,
161
+ "LABEL_53": 53,
162
+ "LABEL_54": 54,
163
+ "LABEL_55": 55,
164
+ "LABEL_56": 56,
165
+ "LABEL_57": 57,
166
+ "LABEL_58": 58,
167
+ "LABEL_59": 59,
168
+ "LABEL_6": 6,
169
+ "LABEL_60": 60,
170
+ "LABEL_61": 61,
171
+ "LABEL_62": 62,
172
+ "LABEL_63": 63,
173
+ "LABEL_64": 64,
174
+ "LABEL_65": 65,
175
+ "LABEL_66": 66,
176
+ "LABEL_67": 67,
177
+ "LABEL_68": 68,
178
+ "LABEL_69": 69,
179
+ "LABEL_7": 7,
180
+ "LABEL_70": 70,
181
+ "LABEL_71": 71,
182
+ "LABEL_72": 72,
183
+ "LABEL_73": 73,
184
+ "LABEL_74": 74,
185
+ "LABEL_75": 75,
186
+ "LABEL_76": 76,
187
+ "LABEL_77": 77,
188
+ "LABEL_78": 78,
189
+ "LABEL_79": 79,
190
+ "LABEL_8": 8,
191
+ "LABEL_80": 80,
192
+ "LABEL_81": 81,
193
+ "LABEL_82": 82,
194
+ "LABEL_83": 83,
195
+ "LABEL_84": 84,
196
+ "LABEL_85": 85,
197
+ "LABEL_86": 86,
198
+ "LABEL_87": 87,
199
+ "LABEL_88": 88,
200
+ "LABEL_89": 89,
201
+ "LABEL_9": 9,
202
+ "LABEL_90": 90,
203
+ "LABEL_91": 91,
204
+ "LABEL_92": 92,
205
+ "LABEL_93": 93,
206
+ "LABEL_94": 94,
207
+ "LABEL_95": 95,
208
+ "LABEL_96": 96,
209
+ "LABEL_97": 97,
210
+ "LABEL_98": 98,
211
+ "LABEL_99": 99
212
+ },
213
+ "model_type": "siglip",
214
+ "problem_type": "single_label_classification",
215
+ "text_config": {
216
+ "attention_dropout": 0.0,
217
+ "dtype": "float32",
218
+ "hidden_act": "gelu_pytorch_tanh",
219
+ "hidden_size": 768,
220
+ "intermediate_size": 3072,
221
+ "layer_norm_eps": 1e-06,
222
+ "max_position_embeddings": 64,
223
+ "model_type": "siglip_text_model",
224
+ "num_attention_heads": 12,
225
+ "num_hidden_layers": 12,
226
+ "projection_size": 768,
227
+ "vocab_size": 256000
228
+ },
229
+ "transformers_version": "4.57.1",
230
+ "vision_config": {
231
+ "attention_dropout": 0.0,
232
+ "dtype": "float32",
233
+ "hidden_act": "gelu_pytorch_tanh",
234
+ "hidden_size": 768,
235
+ "image_size": 224,
236
+ "intermediate_size": 3072,
237
+ "layer_norm_eps": 1e-06,
238
+ "model_type": "siglip_vision_model",
239
+ "num_attention_heads": 12,
240
+ "num_channels": 3,
241
+ "num_hidden_layers": 12,
242
+ "patch_size": 16
243
+ }
244
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf0d4fa6be6d25c50f31ba4a2bab4973c97b6e65d03f128903092e65fd123f1e
3
+ size 371872532
preprocessor_config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": null,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.5,
8
+ 0.5,
9
+ 0.5
10
+ ],
11
+ "image_processor_type": "SiglipImageProcessor",
12
+ "image_std": [
13
+ 0.5,
14
+ 0.5,
15
+ 0.5
16
+ ],
17
+ "processor_class": "SiglipProcessor",
18
+ "resample": 2,
19
+ "rescale_factor": 0.00392156862745098,
20
+ "size": {
21
+ "height": 224,
22
+ "width": 224
23
+ }
24
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe9d6abf9142dada09d2bad2e08a73b7f3cc5fb31f0644349cccd71622088c3f
3
+ size 5777