eligapris commited on
Commit
a11a44d
1 Parent(s): a6a09e4

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - image-classification
6
+ base_model: microsoft/resnet-152
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: 0.369663268327713
22
+
23
+ f1_macro: 0.6843075887364951
24
+
25
+ f1_micro: 0.858508604206501
26
+
27
+ f1_weighted: 0.8303295709630173
28
+
29
+ precision_macro: 0.8204154992433914
30
+
31
+ precision_micro: 0.858508604206501
32
+
33
+ precision_weighted: 0.882137838723129
34
+
35
+ recall_macro: 0.7169578798305077
36
+
37
+ recall_micro: 0.858508604206501
38
+
39
+ recall_weighted: 0.858508604206501
40
+
41
+ accuracy: 0.858508604206501
checkpoint-1569/config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-152",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "ResNetForImageClassification"
6
+ ],
7
+ "depths": [
8
+ 3,
9
+ 8,
10
+ 36,
11
+ 3
12
+ ],
13
+ "downsample_in_bottleneck": false,
14
+ "downsample_in_first_stage": false,
15
+ "embedding_size": 64,
16
+ "hidden_act": "relu",
17
+ "hidden_sizes": [
18
+ 256,
19
+ 512,
20
+ 1024,
21
+ 2048
22
+ ],
23
+ "id2label": {
24
+ "0": "Common_Rust",
25
+ "1": "Gray_Leaf_Spot",
26
+ "2": "Healthy_Leaf",
27
+ "3": "Northern_Leaf_Blight"
28
+ },
29
+ "label2id": {
30
+ "Common_Rust": 0,
31
+ "Gray_Leaf_Spot": 1,
32
+ "Healthy_Leaf": 2,
33
+ "Northern_Leaf_Blight": 3
34
+ },
35
+ "layer_type": "bottleneck",
36
+ "model_type": "resnet",
37
+ "num_channels": 3,
38
+ "out_features": [
39
+ "stage4"
40
+ ],
41
+ "out_indices": [
42
+ 4
43
+ ],
44
+ "problem_type": "single_label_classification",
45
+ "stage_names": [
46
+ "stem",
47
+ "stage1",
48
+ "stage2",
49
+ "stage3",
50
+ "stage4"
51
+ ],
52
+ "torch_dtype": "float32",
53
+ "transformers_version": "4.45.0"
54
+ }
checkpoint-1569/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:645576a82568b0eef5352984eca080ea05a70ae94011f53978ab703b27247fd2
3
+ size 233338200
checkpoint-1569/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8ea98e5edc2439025f95974b346faa0020d650fde8fcdc440f991bcf46bda26
3
+ size 465609611
checkpoint-1569/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ddc2ba2f53d47f9e93f59b943a5c2285c82191f107608aa0970d651697f4fdce
3
+ size 14244
checkpoint-1569/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bede44975d1f7de145427b3d6a115ba78bce06803261b20f85aa5bb4e7f3b03c
3
+ size 1064
checkpoint-1569/trainer_state.json ADDED
@@ -0,0 +1,530 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.369663268327713,
3
+ "best_model_checkpoint": "v-mdd-2000-150/checkpoint-1569",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1569,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04780114722753346,
13
+ "grad_norm": 24.8793888092041,
14
+ "learning_rate": 6.687898089171975e-06,
15
+ "loss": 1.391,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.09560229445506692,
20
+ "grad_norm": 13.04520034790039,
21
+ "learning_rate": 1.464968152866242e-05,
22
+ "loss": 1.3907,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.14340344168260039,
27
+ "grad_norm": 12.42558765411377,
28
+ "learning_rate": 2.261146496815287e-05,
29
+ "loss": 1.3641,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.19120458891013384,
34
+ "grad_norm": 40.01886749267578,
35
+ "learning_rate": 3.057324840764331e-05,
36
+ "loss": 1.3144,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.2390057361376673,
41
+ "grad_norm": 16.6850528717041,
42
+ "learning_rate": 3.8535031847133766e-05,
43
+ "loss": 1.2513,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.28680688336520077,
48
+ "grad_norm": 20.78025245666504,
49
+ "learning_rate": 4.617834394904459e-05,
50
+ "loss": 1.139,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.33460803059273425,
55
+ "grad_norm": 56.91587448120117,
56
+ "learning_rate": 4.9575070821529744e-05,
57
+ "loss": 1.0721,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.3824091778202677,
62
+ "grad_norm": 27.284250259399414,
63
+ "learning_rate": 4.868980169971671e-05,
64
+ "loss": 1.0102,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.43021032504780116,
69
+ "grad_norm": 18.555421829223633,
70
+ "learning_rate": 4.7804532577903685e-05,
71
+ "loss": 0.9647,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.4780114722753346,
76
+ "grad_norm": 17.996288299560547,
77
+ "learning_rate": 4.691926345609066e-05,
78
+ "loss": 0.8751,
79
+ "step": 250
80
+ },
81
+ {
82
+ "epoch": 0.5258126195028681,
83
+ "grad_norm": 16.214096069335938,
84
+ "learning_rate": 4.6033994334277626e-05,
85
+ "loss": 0.7932,
86
+ "step": 275
87
+ },
88
+ {
89
+ "epoch": 0.5736137667304015,
90
+ "grad_norm": 12.805717468261719,
91
+ "learning_rate": 4.514872521246459e-05,
92
+ "loss": 0.8325,
93
+ "step": 300
94
+ },
95
+ {
96
+ "epoch": 0.621414913957935,
97
+ "grad_norm": 9.800782203674316,
98
+ "learning_rate": 4.426345609065156e-05,
99
+ "loss": 0.6662,
100
+ "step": 325
101
+ },
102
+ {
103
+ "epoch": 0.6692160611854685,
104
+ "grad_norm": 63.53221893310547,
105
+ "learning_rate": 4.337818696883853e-05,
106
+ "loss": 0.6896,
107
+ "step": 350
108
+ },
109
+ {
110
+ "epoch": 0.7170172084130019,
111
+ "grad_norm": 3.3974146842956543,
112
+ "learning_rate": 4.24929178470255e-05,
113
+ "loss": 0.6671,
114
+ "step": 375
115
+ },
116
+ {
117
+ "epoch": 0.7648183556405354,
118
+ "grad_norm": 20.420568466186523,
119
+ "learning_rate": 4.160764872521247e-05,
120
+ "loss": 0.6681,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.8126195028680688,
125
+ "grad_norm": 29.39402198791504,
126
+ "learning_rate": 4.0722379603399435e-05,
127
+ "loss": 0.7249,
128
+ "step": 425
129
+ },
130
+ {
131
+ "epoch": 0.8604206500956023,
132
+ "grad_norm": 2.5485928058624268,
133
+ "learning_rate": 3.98371104815864e-05,
134
+ "loss": 0.5976,
135
+ "step": 450
136
+ },
137
+ {
138
+ "epoch": 0.9082217973231358,
139
+ "grad_norm": 20.10879135131836,
140
+ "learning_rate": 3.895184135977337e-05,
141
+ "loss": 0.7261,
142
+ "step": 475
143
+ },
144
+ {
145
+ "epoch": 0.9560229445506692,
146
+ "grad_norm": 20.019594192504883,
147
+ "learning_rate": 3.806657223796034e-05,
148
+ "loss": 0.6267,
149
+ "step": 500
150
+ },
151
+ {
152
+ "epoch": 1.0,
153
+ "eval_accuracy": 0.7160611854684512,
154
+ "eval_f1_macro": 0.37856670758190913,
155
+ "eval_f1_micro": 0.7160611854684512,
156
+ "eval_f1_weighted": 0.6476372575798962,
157
+ "eval_loss": 0.59242182970047,
158
+ "eval_precision_macro": 0.33835803984515156,
159
+ "eval_precision_micro": 0.7160611854684512,
160
+ "eval_precision_weighted": 0.6202676864244742,
161
+ "eval_recall_macro": 0.47908837692380324,
162
+ "eval_recall_micro": 0.7160611854684512,
163
+ "eval_recall_weighted": 0.7160611854684512,
164
+ "eval_runtime": 47.1589,
165
+ "eval_samples_per_second": 22.18,
166
+ "eval_steps_per_second": 1.4,
167
+ "step": 523
168
+ },
169
+ {
170
+ "epoch": 1.0038240917782026,
171
+ "grad_norm": 52.7318229675293,
172
+ "learning_rate": 3.718130311614731e-05,
173
+ "loss": 0.7421,
174
+ "step": 525
175
+ },
176
+ {
177
+ "epoch": 1.0516252390057361,
178
+ "grad_norm": 7.203369617462158,
179
+ "learning_rate": 3.629603399433428e-05,
180
+ "loss": 0.6477,
181
+ "step": 550
182
+ },
183
+ {
184
+ "epoch": 1.0994263862332696,
185
+ "grad_norm": 3.6017909049987793,
186
+ "learning_rate": 3.5410764872521244e-05,
187
+ "loss": 0.5586,
188
+ "step": 575
189
+ },
190
+ {
191
+ "epoch": 1.147227533460803,
192
+ "grad_norm": 52.35728073120117,
193
+ "learning_rate": 3.452549575070821e-05,
194
+ "loss": 0.5506,
195
+ "step": 600
196
+ },
197
+ {
198
+ "epoch": 1.1950286806883366,
199
+ "grad_norm": 3.721095085144043,
200
+ "learning_rate": 3.364022662889519e-05,
201
+ "loss": 0.5279,
202
+ "step": 625
203
+ },
204
+ {
205
+ "epoch": 1.24282982791587,
206
+ "grad_norm": 4.125187397003174,
207
+ "learning_rate": 3.275495750708216e-05,
208
+ "loss": 0.6266,
209
+ "step": 650
210
+ },
211
+ {
212
+ "epoch": 1.2906309751434035,
213
+ "grad_norm": 15.054932594299316,
214
+ "learning_rate": 3.1869688385269126e-05,
215
+ "loss": 0.6104,
216
+ "step": 675
217
+ },
218
+ {
219
+ "epoch": 1.338432122370937,
220
+ "grad_norm": 12.489537239074707,
221
+ "learning_rate": 3.098441926345609e-05,
222
+ "loss": 0.6529,
223
+ "step": 700
224
+ },
225
+ {
226
+ "epoch": 1.3862332695984705,
227
+ "grad_norm": 7.253444671630859,
228
+ "learning_rate": 3.0099150141643063e-05,
229
+ "loss": 0.4816,
230
+ "step": 725
231
+ },
232
+ {
233
+ "epoch": 1.4340344168260037,
234
+ "grad_norm": 42.50492858886719,
235
+ "learning_rate": 2.921388101983003e-05,
236
+ "loss": 0.5376,
237
+ "step": 750
238
+ },
239
+ {
240
+ "epoch": 1.4818355640535372,
241
+ "grad_norm": 38.91421127319336,
242
+ "learning_rate": 2.8328611898017e-05,
243
+ "loss": 0.6558,
244
+ "step": 775
245
+ },
246
+ {
247
+ "epoch": 1.5296367112810707,
248
+ "grad_norm": 10.420364379882812,
249
+ "learning_rate": 2.7443342776203968e-05,
250
+ "loss": 0.5679,
251
+ "step": 800
252
+ },
253
+ {
254
+ "epoch": 1.5774378585086042,
255
+ "grad_norm": 121.50483703613281,
256
+ "learning_rate": 2.6558073654390935e-05,
257
+ "loss": 0.6325,
258
+ "step": 825
259
+ },
260
+ {
261
+ "epoch": 1.6252390057361377,
262
+ "grad_norm": 29.850032806396484,
263
+ "learning_rate": 2.5672804532577905e-05,
264
+ "loss": 0.6696,
265
+ "step": 850
266
+ },
267
+ {
268
+ "epoch": 1.6730401529636711,
269
+ "grad_norm": 7.039335250854492,
270
+ "learning_rate": 2.4787535410764872e-05,
271
+ "loss": 0.5333,
272
+ "step": 875
273
+ },
274
+ {
275
+ "epoch": 1.7208413001912046,
276
+ "grad_norm": 18.278392791748047,
277
+ "learning_rate": 2.3902266288951843e-05,
278
+ "loss": 0.4725,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 1.7686424474187379,
283
+ "grad_norm": 20.07522964477539,
284
+ "learning_rate": 2.3016997167138813e-05,
285
+ "loss": 0.532,
286
+ "step": 925
287
+ },
288
+ {
289
+ "epoch": 1.8164435946462714,
290
+ "grad_norm": 26.724767684936523,
291
+ "learning_rate": 2.213172804532578e-05,
292
+ "loss": 0.4835,
293
+ "step": 950
294
+ },
295
+ {
296
+ "epoch": 1.8642447418738048,
297
+ "grad_norm": 14.43714714050293,
298
+ "learning_rate": 2.124645892351275e-05,
299
+ "loss": 0.4511,
300
+ "step": 975
301
+ },
302
+ {
303
+ "epoch": 1.9120458891013383,
304
+ "grad_norm": 12.802144050598145,
305
+ "learning_rate": 2.0361189801699718e-05,
306
+ "loss": 0.4632,
307
+ "step": 1000
308
+ },
309
+ {
310
+ "epoch": 1.9598470363288718,
311
+ "grad_norm": 8.717876434326172,
312
+ "learning_rate": 1.9475920679886685e-05,
313
+ "loss": 0.481,
314
+ "step": 1025
315
+ },
316
+ {
317
+ "epoch": 2.0,
318
+ "eval_accuracy": 0.844168260038241,
319
+ "eval_f1_macro": 0.6551494818857037,
320
+ "eval_f1_micro": 0.844168260038241,
321
+ "eval_f1_weighted": 0.8158741281490736,
322
+ "eval_loss": 0.40430399775505066,
323
+ "eval_precision_macro": 0.7424475164964295,
324
+ "eval_precision_micro": 0.844168260038241,
325
+ "eval_precision_weighted": 0.8497777860209276,
326
+ "eval_recall_macro": 0.6970111110408359,
327
+ "eval_recall_micro": 0.844168260038241,
328
+ "eval_recall_weighted": 0.844168260038241,
329
+ "eval_runtime": 44.9693,
330
+ "eval_samples_per_second": 23.26,
331
+ "eval_steps_per_second": 1.468,
332
+ "step": 1046
333
+ },
334
+ {
335
+ "epoch": 2.0076481835564053,
336
+ "grad_norm": 3.963388681411743,
337
+ "learning_rate": 1.8590651558073655e-05,
338
+ "loss": 0.4624,
339
+ "step": 1050
340
+ },
341
+ {
342
+ "epoch": 2.0554493307839388,
343
+ "grad_norm": 37.179256439208984,
344
+ "learning_rate": 1.7705382436260622e-05,
345
+ "loss": 0.5283,
346
+ "step": 1075
347
+ },
348
+ {
349
+ "epoch": 2.1032504780114722,
350
+ "grad_norm": 14.825626373291016,
351
+ "learning_rate": 1.6820113314447596e-05,
352
+ "loss": 0.4486,
353
+ "step": 1100
354
+ },
355
+ {
356
+ "epoch": 2.1510516252390057,
357
+ "grad_norm": 11.206725120544434,
358
+ "learning_rate": 1.5934844192634563e-05,
359
+ "loss": 0.5357,
360
+ "step": 1125
361
+ },
362
+ {
363
+ "epoch": 2.198852772466539,
364
+ "grad_norm": 14.244481086730957,
365
+ "learning_rate": 1.5049575070821532e-05,
366
+ "loss": 0.3786,
367
+ "step": 1150
368
+ },
369
+ {
370
+ "epoch": 2.2466539196940727,
371
+ "grad_norm": 23.3243408203125,
372
+ "learning_rate": 1.41643059490085e-05,
373
+ "loss": 0.4675,
374
+ "step": 1175
375
+ },
376
+ {
377
+ "epoch": 2.294455066921606,
378
+ "grad_norm": 13.028168678283691,
379
+ "learning_rate": 1.3279036827195467e-05,
380
+ "loss": 0.5151,
381
+ "step": 1200
382
+ },
383
+ {
384
+ "epoch": 2.3422562141491396,
385
+ "grad_norm": 13.557563781738281,
386
+ "learning_rate": 1.2393767705382436e-05,
387
+ "loss": 0.4448,
388
+ "step": 1225
389
+ },
390
+ {
391
+ "epoch": 2.390057361376673,
392
+ "grad_norm": 5.000290870666504,
393
+ "learning_rate": 1.1508498583569407e-05,
394
+ "loss": 0.3802,
395
+ "step": 1250
396
+ },
397
+ {
398
+ "epoch": 2.4378585086042066,
399
+ "grad_norm": 25.394447326660156,
400
+ "learning_rate": 1.0623229461756375e-05,
401
+ "loss": 0.4251,
402
+ "step": 1275
403
+ },
404
+ {
405
+ "epoch": 2.48565965583174,
406
+ "grad_norm": 21.63365364074707,
407
+ "learning_rate": 9.737960339943342e-06,
408
+ "loss": 0.4564,
409
+ "step": 1300
410
+ },
411
+ {
412
+ "epoch": 2.5334608030592736,
413
+ "grad_norm": 32.95785140991211,
414
+ "learning_rate": 8.852691218130311e-06,
415
+ "loss": 0.4532,
416
+ "step": 1325
417
+ },
418
+ {
419
+ "epoch": 2.581261950286807,
420
+ "grad_norm": 64.51441955566406,
421
+ "learning_rate": 7.967422096317281e-06,
422
+ "loss": 0.566,
423
+ "step": 1350
424
+ },
425
+ {
426
+ "epoch": 2.62906309751434,
427
+ "grad_norm": 42.481014251708984,
428
+ "learning_rate": 7.08215297450425e-06,
429
+ "loss": 0.403,
430
+ "step": 1375
431
+ },
432
+ {
433
+ "epoch": 2.676864244741874,
434
+ "grad_norm": 4.409757137298584,
435
+ "learning_rate": 6.196883852691218e-06,
436
+ "loss": 0.4463,
437
+ "step": 1400
438
+ },
439
+ {
440
+ "epoch": 2.724665391969407,
441
+ "grad_norm": 51.99477767944336,
442
+ "learning_rate": 5.347025495750709e-06,
443
+ "loss": 0.5211,
444
+ "step": 1425
445
+ },
446
+ {
447
+ "epoch": 2.772466539196941,
448
+ "grad_norm": 37.646881103515625,
449
+ "learning_rate": 4.461756373937677e-06,
450
+ "loss": 0.3393,
451
+ "step": 1450
452
+ },
453
+ {
454
+ "epoch": 2.820267686424474,
455
+ "grad_norm": 33.17749786376953,
456
+ "learning_rate": 3.576487252124646e-06,
457
+ "loss": 0.4809,
458
+ "step": 1475
459
+ },
460
+ {
461
+ "epoch": 2.8680688336520075,
462
+ "grad_norm": 16.174297332763672,
463
+ "learning_rate": 2.691218130311615e-06,
464
+ "loss": 0.4465,
465
+ "step": 1500
466
+ },
467
+ {
468
+ "epoch": 2.915869980879541,
469
+ "grad_norm": 88.04303741455078,
470
+ "learning_rate": 1.8059490084985835e-06,
471
+ "loss": 0.4669,
472
+ "step": 1525
473
+ },
474
+ {
475
+ "epoch": 2.9636711281070744,
476
+ "grad_norm": 6.651047229766846,
477
+ "learning_rate": 9.206798866855524e-07,
478
+ "loss": 0.4518,
479
+ "step": 1550
480
+ },
481
+ {
482
+ "epoch": 3.0,
483
+ "eval_accuracy": 0.858508604206501,
484
+ "eval_f1_macro": 0.6843075887364951,
485
+ "eval_f1_micro": 0.858508604206501,
486
+ "eval_f1_weighted": 0.8303295709630173,
487
+ "eval_loss": 0.369663268327713,
488
+ "eval_precision_macro": 0.8204154992433914,
489
+ "eval_precision_micro": 0.858508604206501,
490
+ "eval_precision_weighted": 0.882137838723129,
491
+ "eval_recall_macro": 0.7169578798305077,
492
+ "eval_recall_micro": 0.858508604206501,
493
+ "eval_recall_weighted": 0.858508604206501,
494
+ "eval_runtime": 44.9545,
495
+ "eval_samples_per_second": 23.268,
496
+ "eval_steps_per_second": 1.468,
497
+ "step": 1569
498
+ }
499
+ ],
500
+ "logging_steps": 25,
501
+ "max_steps": 1569,
502
+ "num_input_tokens_seen": 0,
503
+ "num_train_epochs": 3,
504
+ "save_steps": 500,
505
+ "stateful_callbacks": {
506
+ "EarlyStoppingCallback": {
507
+ "args": {
508
+ "early_stopping_patience": 5,
509
+ "early_stopping_threshold": 0.01
510
+ },
511
+ "attributes": {
512
+ "early_stopping_patience_counter": 0
513
+ }
514
+ },
515
+ "TrainerControl": {
516
+ "args": {
517
+ "should_epoch_stop": false,
518
+ "should_evaluate": false,
519
+ "should_log": false,
520
+ "should_save": true,
521
+ "should_training_stop": true
522
+ },
523
+ "attributes": {}
524
+ }
525
+ },
526
+ "total_flos": 6.587712686117929e+17,
527
+ "train_batch_size": 8,
528
+ "trial_name": null,
529
+ "trial_params": null
530
+ }
checkpoint-1569/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eca3a10d9a741565046f2876e2cfce87d38a02c28237ca2b935a06fa9964f373
3
+ size 5240
config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/resnet-152",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "ResNetForImageClassification"
6
+ ],
7
+ "depths": [
8
+ 3,
9
+ 8,
10
+ 36,
11
+ 3
12
+ ],
13
+ "downsample_in_bottleneck": false,
14
+ "downsample_in_first_stage": false,
15
+ "embedding_size": 64,
16
+ "hidden_act": "relu",
17
+ "hidden_sizes": [
18
+ 256,
19
+ 512,
20
+ 1024,
21
+ 2048
22
+ ],
23
+ "id2label": {
24
+ "0": "Common_Rust",
25
+ "1": "Gray_Leaf_Spot",
26
+ "2": "Healthy_Leaf",
27
+ "3": "Northern_Leaf_Blight"
28
+ },
29
+ "label2id": {
30
+ "Common_Rust": 0,
31
+ "Gray_Leaf_Spot": 1,
32
+ "Healthy_Leaf": 2,
33
+ "Northern_Leaf_Blight": 3
34
+ },
35
+ "layer_type": "bottleneck",
36
+ "model_type": "resnet",
37
+ "num_channels": 3,
38
+ "out_features": [
39
+ "stage4"
40
+ ],
41
+ "out_indices": [
42
+ 4
43
+ ],
44
+ "problem_type": "single_label_classification",
45
+ "stage_names": [
46
+ "stem",
47
+ "stage1",
48
+ "stage2",
49
+ "stage3",
50
+ "stage4"
51
+ ],
52
+ "torch_dtype": "float32",
53
+ "transformers_version": "4.45.0"
54
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:645576a82568b0eef5352984eca080ea05a70ae94011f53978ab703b27247fd2
3
+ size 233338200
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_pct": 0.875,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.485,
8
+ 0.456,
9
+ 0.406
10
+ ],
11
+ "image_processor_type": "ConvNextImageProcessor",
12
+ "image_std": [
13
+ 0.229,
14
+ 0.224,
15
+ 0.225
16
+ ],
17
+ "resample": 3,
18
+ "rescale_factor": 0.00392156862745098,
19
+ "size": {
20
+ "shortest_edge": 224
21
+ }
22
+ }
runs/Oct18_06-24-24_07b4c6376f8e/events.out.tfevents.1729232666.07b4c6376f8e.21206.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5b6cc343cf168bffe7f03725c8c29caeb9ea65adc0ce771631f665b463f1ad6c
3
- size 15906
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f37bdba438437302083a85a6dfee44a678c1d1b00cb2f80a993b2bb8f55ad0e
3
+ size 21102
runs/Oct18_06-24-24_07b4c6376f8e/events.out.tfevents.1729233657.07b4c6376f8e.21206.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d59d89550d685a293f8325fc5bdb7ef5d01b247313518cd75d78cd561a3c6b50
3
+ size 921
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eca3a10d9a741565046f2876e2cfce87d38a02c28237ca2b935a06fa9964f373
3
+ size 5240
training_params.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "v-mdd-2000-150/autotrain-data",
3
+ "model": "microsoft/resnet-152",
4
+ "username": "eligapris",
5
+ "lr": 5e-05,
6
+ "epochs": 3,
7
+ "batch_size": 8,
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": "v-mdd-2000-150",
19
+ "auto_find_batch_size": false,
20
+ "mixed_precision": "fp16",
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
+ }