longlephamtien commited on
Commit
cc05ff2
·
verified ·
1 Parent(s): 21a6b62

assignment-1 run transformer-seed1-20261020-125532

Browse files
assignment-1/runs/transformer-seed1-20261020-125532/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:072bdb52be7ce9ce65759005a601f6fa369bfcaa7aaf60808081e74af72c58d6
3
+ size 2175925
assignment-1/runs/transformer-seed1-20261020-125532/checksums.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "checkpoint.pt": "072bdb52be7ce9ce65759005a601f6fa369bfcaa7aaf60808081e74af72c58d6",
3
+ "config.yaml": "7c4a49aa6e8824ea73573358a583b5b2acc5b94a8531d1f5372ee4d889409fb9",
4
+ "environment.json": "0e6cb2d99270a3e06a7c1ccc1840746db19f4b623550957e3374d32e83f7ed0a",
5
+ "history.json": "6731aa72d90ad2ad26c58d3a0e9e2347da6285d656cbb13e23098a07559fbec5",
6
+ "summary.json": "8e8e8d5a72e9ebbdd63908827d1c9f61088b9ef0035358a97d04efbc0e177385",
7
+ "evaluation/val/correct.png": "bafeb0b127a58fafde060aa1635977f8198fca1854c1a77b968a72d4413a64ba",
8
+ "evaluation/val/incorrect.png": "59df5f5553ca8f2826aa8e2f9c289e157682ea41d27b6e43ad2e402f3a39e303",
9
+ "evaluation/val/report.json": "0be4830b364e817a2075001feb02d36ecafd1aa2efd8fa6ad33d366258cea721"
10
+ }
assignment-1/runs/transformer-seed1-20261020-125532/config.yaml ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ seed: 1
2
+ dataset:
3
+ name: fashion-mnist
4
+ source: torchvision.datasets.FashionMNIST
5
+ root: data
6
+ download: true
7
+ val_size: 6000
8
+ stratified: true
9
+ split_file: splits/fashion-mnist-seed0.json
10
+ normalization:
11
+ mean: 0.28579843044281006
12
+ std: 0.3528536558151245
13
+ hub:
14
+ repo_id: null
15
+ assignment: assignment-1
16
+ private: false
17
+ input:
18
+ representation: rows
19
+ patch_size: 4
20
+ loader:
21
+ batch_size: 128
22
+ num_workers: 4
23
+ augment: true
24
+ train:
25
+ epochs: 30
26
+ optimizer: adamw
27
+ lr: 0.0003
28
+ weight_decay: 0.05
29
+ scheduler: cosine
30
+ label_smoothing: 0.0
31
+ early_stopping_patience: 5
32
+ checkpoint_metric: val_macro_f1
33
+ checkpoint_mode: max
34
+ evaluation:
35
+ metrics:
36
+ - accuracy
37
+ - macro_f1
38
+ confusion_matrix: true
39
+ example_predictions: 8
40
+ output_dir: results/evaluation
41
+ inference:
42
+ batch_sizes:
43
+ - 1
44
+ - 128
45
+ warmup_batches: 5
46
+ timed_batches: 50
47
+ model:
48
+ args:
49
+ representation: rows
50
+ patch_size: 4
51
+ d_model: 128
52
+ num_heads: 4
53
+ num_layers: 4
54
+ ff_dim: 256
55
+ dropout: 0.1
56
+ pooling: cls
57
+ name: transformer
58
+ output_dir: results/runs
assignment-1/runs/transformer-seed1-20261020-125532/environment.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "commit": "42f775dbfcb780f7517ddc8ea8f33863b848da6d",
3
+ "python": "3.12.0",
4
+ "torch": "2.14.0",
5
+ "numpy": "2.5.3",
6
+ "torchvision": "0.29.0",
7
+ "scikit_learn": "1.9.1",
8
+ "hardware": "mps: Apple M4 Pro, 14 cores, 48 GB RAM",
9
+ "torch_threads": 10
10
+ }
assignment-1/runs/transformer-seed1-20261020-125532/evaluation/val/correct.png ADDED
assignment-1/runs/transformer-seed1-20261020-125532/evaluation/val/incorrect.png ADDED
assignment-1/runs/transformer-seed1-20261020-125532/evaluation/val/report.json ADDED
@@ -0,0 +1,172 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "run_id": "transformer-seed1-20261020-125532",
3
+ "model": "transformer",
4
+ "representation": "rows",
5
+ "split": "val",
6
+ "accuracy": 0.9003333449363708,
7
+ "macro_f1": 0.9004399191772112,
8
+ "per_class_precision": {
9
+ "T-shirt/top": 0.8453947368421053,
10
+ "Trouser": 0.9866220735785953,
11
+ "Pullover": 0.8358974358974359,
12
+ "Dress": 0.9131886477462438,
13
+ "Coat": 0.7898089171974523,
14
+ "Sandal": 0.9880341880341881,
15
+ "Shirt": 0.7389830508474576,
16
+ "Sneaker": 0.9452495974235104,
17
+ "Bag": 0.9847972972972973,
18
+ "Ankle boot": 0.9797979797979798
19
+ },
20
+ "per_class_recall": {
21
+ "T-shirt/top": 0.8566666666666667,
22
+ "Trouser": 0.9833333333333333,
23
+ "Pullover": 0.815,
24
+ "Dress": 0.9116666666666666,
25
+ "Coat": 0.8266666666666667,
26
+ "Sandal": 0.9633333333333334,
27
+ "Shirt": 0.7266666666666667,
28
+ "Sneaker": 0.9783333333333334,
29
+ "Bag": 0.9716666666666667,
30
+ "Ankle boot": 0.97
31
+ },
32
+ "per_class_f1": {
33
+ "T-shirt/top": 0.8509933774834437,
34
+ "Trouser": 0.9849749582637729,
35
+ "Pullover": 0.8253164556962025,
36
+ "Dress": 0.9124270225187656,
37
+ "Coat": 0.8078175895765473,
38
+ "Sandal": 0.9755274261603376,
39
+ "Shirt": 0.7327731092436974,
40
+ "Sneaker": 0.9615069615069615,
41
+ "Bag": 0.9781879194630873,
42
+ "Ankle boot": 0.9748743718592965
43
+ },
44
+ "confusion_matrix": [
45
+ [
46
+ 514,
47
+ 1,
48
+ 7,
49
+ 12,
50
+ 1,
51
+ 0,
52
+ 63,
53
+ 0,
54
+ 2,
55
+ 0
56
+ ],
57
+ [
58
+ 2,
59
+ 590,
60
+ 0,
61
+ 6,
62
+ 0,
63
+ 0,
64
+ 1,
65
+ 0,
66
+ 1,
67
+ 0
68
+ ],
69
+ [
70
+ 5,
71
+ 0,
72
+ 489,
73
+ 4,
74
+ 67,
75
+ 0,
76
+ 35,
77
+ 0,
78
+ 0,
79
+ 0
80
+ ],
81
+ [
82
+ 13,
83
+ 6,
84
+ 2,
85
+ 547,
86
+ 22,
87
+ 0,
88
+ 10,
89
+ 0,
90
+ 0,
91
+ 0
92
+ ],
93
+ [
94
+ 2,
95
+ 1,
96
+ 44,
97
+ 16,
98
+ 496,
99
+ 0,
100
+ 40,
101
+ 0,
102
+ 1,
103
+ 0
104
+ ],
105
+ [
106
+ 0,
107
+ 0,
108
+ 0,
109
+ 1,
110
+ 0,
111
+ 578,
112
+ 0,
113
+ 18,
114
+ 1,
115
+ 2
116
+ ],
117
+ [
118
+ 70,
119
+ 0,
120
+ 39,
121
+ 11,
122
+ 40,
123
+ 0,
124
+ 436,
125
+ 0,
126
+ 4,
127
+ 0
128
+ ],
129
+ [
130
+ 0,
131
+ 0,
132
+ 0,
133
+ 0,
134
+ 0,
135
+ 3,
136
+ 0,
137
+ 587,
138
+ 0,
139
+ 10
140
+ ],
141
+ [
142
+ 2,
143
+ 0,
144
+ 4,
145
+ 2,
146
+ 2,
147
+ 1,
148
+ 5,
149
+ 1,
150
+ 583,
151
+ 0
152
+ ],
153
+ [
154
+ 0,
155
+ 0,
156
+ 0,
157
+ 0,
158
+ 0,
159
+ 3,
160
+ 0,
161
+ 15,
162
+ 0,
163
+ 582
164
+ ]
165
+ ],
166
+ "parameters": 539018,
167
+ "training_seconds": 549.8278179168701,
168
+ "inference_ms_per_image": {
169
+ "1": 1.0946474998490885,
170
+ "128": 0.018090214844050934
171
+ }
172
+ }
assignment-1/runs/transformer-seed1-20261020-125532/history.json ADDED
@@ -0,0 +1,332 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "epoch": 1,
4
+ "train_loss": 0.8477474351459079,
5
+ "train_accuracy": 0.6822037037037038,
6
+ "train_macro_f1": 0.6771563776665724,
7
+ "val_loss": 0.6515940836270651,
8
+ "val_accuracy": 0.7555,
9
+ "val_macro_f1": 0.7492436993166336,
10
+ "seconds": 18.27364492416382,
11
+ "learning_rate": 0.0003
12
+ },
13
+ {
14
+ "epoch": 2,
15
+ "train_loss": 0.5942427578325625,
16
+ "train_accuracy": 0.7768148148148148,
17
+ "train_macro_f1": 0.773640386669675,
18
+ "val_loss": 0.4822105747858683,
19
+ "val_accuracy": 0.8178333333333333,
20
+ "val_macro_f1": 0.8165323582475528,
21
+ "seconds": 18.04147505760193,
22
+ "learning_rate": 0.00029917828430524096
23
+ },
24
+ {
25
+ "epoch": 3,
26
+ "train_loss": 0.5241721116878368,
27
+ "train_accuracy": 0.806,
28
+ "train_macro_f1": 0.8034334252569117,
29
+ "val_loss": 0.4577854286034902,
30
+ "val_accuracy": 0.8258333333333333,
31
+ "val_macro_f1": 0.8222828109977229,
32
+ "seconds": 18.081893920898438,
33
+ "learning_rate": 0.0002967221401100708
34
+ },
35
+ {
36
+ "epoch": 4,
37
+ "train_loss": 0.4868325994986075,
38
+ "train_accuracy": 0.8188518518518518,
39
+ "train_macro_f1": 0.8165625679656792,
40
+ "val_loss": 0.4455214460690816,
41
+ "val_accuracy": 0.8321666666666667,
42
+ "val_macro_f1": 0.83092069028235,
43
+ "seconds": 18.066375255584717,
44
+ "learning_rate": 0.00029265847744427303
45
+ },
46
+ {
47
+ "epoch": 5,
48
+ "train_loss": 0.46030119357285676,
49
+ "train_accuracy": 0.827962962962963,
50
+ "train_macro_f1": 0.826002512217395,
51
+ "val_loss": 0.41558539724349974,
52
+ "val_accuracy": 0.8433333333333334,
53
+ "val_macro_f1": 0.8408446886157979,
54
+ "seconds": 18.156234979629517,
55
+ "learning_rate": 0.0002870318186463901
56
+ },
57
+ {
58
+ "epoch": 6,
59
+ "train_loss": 0.4375398625885999,
60
+ "train_accuracy": 0.8359444444444445,
61
+ "train_macro_f1": 0.8341862326567837,
62
+ "val_loss": 0.3675247021516164,
63
+ "val_accuracy": 0.8621666666666666,
64
+ "val_macro_f1": 0.8621007550297856,
65
+ "seconds": 18.117130994796753,
66
+ "learning_rate": 0.0002799038105676658
67
+ },
68
+ {
69
+ "epoch": 7,
70
+ "train_loss": 0.4249583039107146,
71
+ "train_accuracy": 0.842,
72
+ "train_macro_f1": 0.8404289869985376,
73
+ "val_loss": 0.3741024050712585,
74
+ "val_accuracy": 0.8613333333333333,
75
+ "val_macro_f1": 0.8604320044659186,
76
+ "seconds": 18.07611083984375,
77
+ "learning_rate": 0.0002713525491562421
78
+ },
79
+ {
80
+ "epoch": 8,
81
+ "train_loss": 0.4092225739161173,
82
+ "train_accuracy": 0.8464074074074074,
83
+ "train_macro_f1": 0.84501777507071,
84
+ "val_loss": 0.36287187751134237,
85
+ "val_accuracy": 0.8646666666666667,
86
+ "val_macro_f1": 0.8628324289887314,
87
+ "seconds": 18.110090970993042,
88
+ "learning_rate": 0.00026147172382160914
89
+ },
90
+ {
91
+ "epoch": 9,
92
+ "train_loss": 0.3990704091743187,
93
+ "train_accuracy": 0.8505,
94
+ "train_macro_f1": 0.8493060867800366,
95
+ "val_loss": 0.35981582657496136,
96
+ "val_accuracy": 0.865,
97
+ "val_macro_f1": 0.863891282462722,
98
+ "seconds": 18.107638835906982,
99
+ "learning_rate": 0.00025036959095382875
100
+ },
101
+ {
102
+ "epoch": 10,
103
+ "train_loss": 0.38687067361231203,
104
+ "train_accuracy": 0.8551296296296297,
105
+ "train_macro_f1": 0.8539314516865295,
106
+ "val_loss": 0.3549997150103251,
107
+ "val_accuracy": 0.8636666666666667,
108
+ "val_macro_f1": 0.8610561005431894,
109
+ "seconds": 18.114627838134766,
110
+ "learning_rate": 0.000238167787843871
111
+ },
112
+ {
113
+ "epoch": 11,
114
+ "train_loss": 0.3783643187240318,
115
+ "train_accuracy": 0.8577592592592592,
116
+ "train_macro_f1": 0.8567511825248841,
117
+ "val_loss": 0.33545671923955284,
118
+ "val_accuracy": 0.8733333333333333,
119
+ "val_macro_f1": 0.8717027893589411,
120
+ "seconds": 18.134950160980225,
121
+ "learning_rate": 0.00022500000000000002
122
+ },
123
+ {
124
+ "epoch": 12,
125
+ "train_loss": 0.36875384525899535,
126
+ "train_accuracy": 0.8622777777777778,
127
+ "train_macro_f1": 0.8612942386995188,
128
+ "val_loss": 0.3295309015115102,
129
+ "val_accuracy": 0.8746666666666667,
130
+ "val_macro_f1": 0.8738068671834329,
131
+ "seconds": 18.411638021469116,
132
+ "learning_rate": 0.0002110104964613701
133
+ },
134
+ {
135
+ "epoch": 13,
136
+ "train_loss": 0.36504547277203314,
137
+ "train_accuracy": 0.8629074074074075,
138
+ "train_macro_f1": 0.8618998569962801,
139
+ "val_loss": 0.333461507320404,
140
+ "val_accuracy": 0.876,
141
+ "val_macro_f1": 0.8770821933983255,
142
+ "seconds": 18.99585199356079,
143
+ "learning_rate": 0.00019635254915624216
144
+ },
145
+ {
146
+ "epoch": 14,
147
+ "train_loss": 0.3555319798699132,
148
+ "train_accuracy": 0.8663518518518518,
149
+ "train_macro_f1": 0.8653675681747348,
150
+ "val_loss": 0.32645242555936177,
151
+ "val_accuracy": 0.8766666666666667,
152
+ "val_macro_f1": 0.8763226422325163,
153
+ "seconds": 19.066322803497314,
154
+ "learning_rate": 0.00018118675362266393
155
+ },
156
+ {
157
+ "epoch": 15,
158
+ "train_loss": 0.34858067391536857,
159
+ "train_accuracy": 0.8690740740740741,
160
+ "train_macro_f1": 0.8681582739867284,
161
+ "val_loss": 0.3091099932193756,
162
+ "val_accuracy": 0.8836666666666667,
163
+ "val_macro_f1": 0.8834165054087284,
164
+ "seconds": 19.657222270965576,
165
+ "learning_rate": 0.0001656792694901481
166
+ },
167
+ {
168
+ "epoch": 16,
169
+ "train_loss": 0.34016810108997203,
170
+ "train_accuracy": 0.8723888888888889,
171
+ "train_macro_f1": 0.8715154994139331,
172
+ "val_loss": 0.3082869652907054,
173
+ "val_accuracy": 0.8846666666666667,
174
+ "val_macro_f1": 0.884371191013668,
175
+ "seconds": 18.39118790626526,
176
+ "learning_rate": 0.0001500000000000001
177
+ },
178
+ {
179
+ "epoch": 17,
180
+ "train_loss": 0.33520478791660735,
181
+ "train_accuracy": 0.8740370370370371,
182
+ "train_macro_f1": 0.8732856266925302,
183
+ "val_loss": 0.3143378590742747,
184
+ "val_accuracy": 0.8811666666666667,
185
+ "val_macro_f1": 0.8804653882974585,
186
+ "seconds": 18.297115802764893,
187
+ "learning_rate": 0.00013432073050985205
188
+ },
189
+ {
190
+ "epoch": 18,
191
+ "train_loss": 0.3300457675457001,
192
+ "train_accuracy": 0.8759259259259259,
193
+ "train_macro_f1": 0.8751402894818654,
194
+ "val_loss": 0.2968063197930654,
195
+ "val_accuracy": 0.8876666666666667,
196
+ "val_macro_f1": 0.8865160626891038,
197
+ "seconds": 19.070133686065674,
198
+ "learning_rate": 0.00011881324637733612
199
+ },
200
+ {
201
+ "epoch": 19,
202
+ "train_loss": 0.32542695063131827,
203
+ "train_accuracy": 0.8774444444444445,
204
+ "train_macro_f1": 0.8767313299098654,
205
+ "val_loss": 0.3111685937643051,
206
+ "val_accuracy": 0.8795,
207
+ "val_macro_f1": 0.8786597386361249,
208
+ "seconds": 18.5068199634552,
209
+ "learning_rate": 0.00010364745084375793
210
+ },
211
+ {
212
+ "epoch": 20,
213
+ "train_loss": 0.32060488950323174,
214
+ "train_accuracy": 0.8792037037037037,
215
+ "train_macro_f1": 0.8785814986027575,
216
+ "val_loss": 0.29465187430381773,
217
+ "val_accuracy": 0.8883333333333333,
218
+ "val_macro_f1": 0.8875407471391806,
219
+ "seconds": 18.202396869659424,
220
+ "learning_rate": 8.898950353863002e-05
221
+ },
222
+ {
223
+ "epoch": 21,
224
+ "train_loss": 0.31707376568847234,
225
+ "train_accuracy": 0.8807407407407407,
226
+ "train_macro_f1": 0.8799765732537151,
227
+ "val_loss": 0.28822426482041674,
228
+ "val_accuracy": 0.8928333333333334,
229
+ "val_macro_f1": 0.8929718111748752,
230
+ "seconds": 18.107588052749634,
231
+ "learning_rate": 7.500000000000005e-05
232
+ },
233
+ {
234
+ "epoch": 22,
235
+ "train_loss": 0.31266511322833873,
236
+ "train_accuracy": 0.8821481481481481,
237
+ "train_macro_f1": 0.8815029004888913,
238
+ "val_loss": 0.28188495604197183,
239
+ "val_accuracy": 0.8948333333333334,
240
+ "val_macro_f1": 0.8942267101376549,
241
+ "seconds": 18.078409910202026,
242
+ "learning_rate": 6.183221215612906e-05
243
+ },
244
+ {
245
+ "epoch": 23,
246
+ "train_loss": 0.3056478698871754,
247
+ "train_accuracy": 0.8862962962962962,
248
+ "train_macro_f1": 0.885649515449159,
249
+ "val_loss": 0.29011006212234497,
250
+ "val_accuracy": 0.8928333333333334,
251
+ "val_macro_f1": 0.8925547654078256,
252
+ "seconds": 18.098785161972046,
253
+ "learning_rate": 4.963040904617133e-05
254
+ },
255
+ {
256
+ "epoch": 24,
257
+ "train_loss": 0.307222580048773,
258
+ "train_accuracy": 0.8845555555555555,
259
+ "train_macro_f1": 0.8839531275076504,
260
+ "val_loss": 0.2853318722248077,
261
+ "val_accuracy": 0.8931666666666667,
262
+ "val_macro_f1": 0.893128058932229,
263
+ "seconds": 18.169212102890015,
264
+ "learning_rate": 3.852827617839091e-05
265
+ },
266
+ {
267
+ "epoch": 25,
268
+ "train_loss": 0.3010576022730933,
269
+ "train_accuracy": 0.8859074074074074,
270
+ "train_macro_f1": 0.8852287541756363,
271
+ "val_loss": 0.27492775921026863,
272
+ "val_accuracy": 0.8983333333333333,
273
+ "val_macro_f1": 0.8975407198026571,
274
+ "seconds": 18.178268909454346,
275
+ "learning_rate": 2.8647450843757908e-05
276
+ },
277
+ {
278
+ "epoch": 26,
279
+ "train_loss": 0.2998311327475089,
280
+ "train_accuracy": 0.887537037037037,
281
+ "train_macro_f1": 0.8869532966817468,
282
+ "val_loss": 0.274651545882225,
283
+ "val_accuracy": 0.9003333333333333,
284
+ "val_macro_f1": 0.9004399191772112,
285
+ "seconds": 18.09980010986328,
286
+ "learning_rate": 2.00961894323342e-05
287
+ },
288
+ {
289
+ "epoch": 27,
290
+ "train_loss": 0.29762842460473377,
291
+ "train_accuracy": 0.8888518518518519,
292
+ "train_macro_f1": 0.8883522974479632,
293
+ "val_loss": 0.2772646809418996,
294
+ "val_accuracy": 0.8958333333333334,
295
+ "val_macro_f1": 0.895731980595478,
296
+ "seconds": 18.10190200805664,
297
+ "learning_rate": 1.2968181353609857e-05
298
+ },
299
+ {
300
+ "epoch": 28,
301
+ "train_loss": 0.29677929993028995,
302
+ "train_accuracy": 0.8888518518518519,
303
+ "train_macro_f1": 0.8882789787485106,
304
+ "val_loss": 0.27571588663260144,
305
+ "val_accuracy": 0.8971666666666667,
306
+ "val_macro_f1": 0.8970122652050889,
307
+ "seconds": 18.073351860046387,
308
+ "learning_rate": 7.341522555726972e-06
309
+ },
310
+ {
311
+ "epoch": 29,
312
+ "train_loss": 0.29406067896772314,
313
+ "train_accuracy": 0.8895185185185185,
314
+ "train_macro_f1": 0.8890023449165094,
315
+ "val_loss": 0.2735966603755951,
316
+ "val_accuracy": 0.8986666666666666,
317
+ "val_macro_f1": 0.8984582388417737,
318
+ "seconds": 18.41309905052185,
319
+ "learning_rate": 3.2778598899291474e-06
320
+ },
321
+ {
322
+ "epoch": 30,
323
+ "train_loss": 0.2939305702580346,
324
+ "train_accuracy": 0.8903518518518518,
325
+ "train_macro_f1": 0.8897660239232319,
326
+ "val_loss": 0.2736836162805557,
327
+ "val_accuracy": 0.899,
328
+ "val_macro_f1": 0.898815424122921,
329
+ "seconds": 18.372551918029785,
330
+ "learning_rate": 8.2171569475899e-07
331
+ }
332
+ ]
assignment-1/runs/transformer-seed1-20261020-125532/summary.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "run_id": "transformer-seed1-20261020-125532",
3
+ "model": "transformer",
4
+ "representation": "rows",
5
+ "seed": 1,
6
+ "parameters": 539018,
7
+ "epochs_trained": 30,
8
+ "best_epoch": 26,
9
+ "checkpoint_metric": "val_macro_f1",
10
+ "checkpoint_value": 0.9004399191772112,
11
+ "training_seconds": 549.8278179168701,
12
+ "commit": "42f775dbfcb780f7517ddc8ea8f33863b848da6d",
13
+ "hardware": "mps: Apple M4 Pro, 14 cores, 48 GB RAM"
14
+ }