timm
/

Image Classification
timm
PyTorch
Safetensors
File size: 2,134 Bytes
8684984
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
aa: rand-m10-inc1-mstd101
amp: true
amp_dtype: float16
amp_impl: native
aot_autograd: false
apex_amp: false
aug_repeats: 0
aug_splits: 0
batch_size: 96
bce_loss: false
bce_target_thresh: null
bn_eps: null
bn_momentum: null
channels_last: false
checkpoint_hist: 10
class_map: ''
clip_grad: 3.0
clip_mode: norm
color_jitter: 0.4
cooldown_epochs: 10
crop_pct: 1.0
cutmix: 0.0
cutmix_minmax: null
data_dir: /data/imagenet/
dataset: ''
dataset_download: false
decay_epochs: 100
decay_milestones:
- 30
- 60
decay_rate: 0.1
dist_bn: reduce
drop: 0.0
drop_block: null
drop_connect: null
drop_path: 0.1
dynamo: false
dynamo_backend: null
epoch_repeats: 0.0
epochs: 50
eval_metric: top1
experiment: ''
fast_norm: false
fuser: ''
gp: null
grad_checkpointing: true
hflip: 0.5
img_size: 384
in_chans: null
initial_checkpoint: ''
input_size: null
interpolation: ''
jsd_loss: false
layer_decay: 0.75
local_rank: 0
log_interval: 50
log_wandb: false
lr: 0.0
lr_base: 0.0001
lr_base_scale: ''
lr_base_size: 4096
lr_cycle_decay: 0.5
lr_cycle_limit: 1
lr_cycle_mul: 1.0
lr_k_decay: 1.0
lr_noise:
- 0.1
- 1.0
lr_noise_pct: 0.67
lr_noise_std: 1.0
mean: null
min_lr: 5.0e-07
mixup: 0.0
mixup_mode: batch
mixup_off_epoch: 0
mixup_prob: 1.0
mixup_switch_prob: 0.5
model: vit_base_patch16_clip_224.openai_ft_in12k
model_ema: true
model_ema_decay: 0.9998
model_ema_force_cpu: false
momentum: 0.9
native_amp: false
no_aug: false
no_ddp_bb: false
no_prefetcher: false
no_resume_opt: false
num_classes: 1000
opt: adamw
opt_betas: null
opt_eps: null
output: ''
patience_epochs: 10
pin_mem: false
pretrained: true
ratio:
- 0.75
- 1.3333333333333333
recount: 1
recovery_interval: 0
remode: pixel
reprob: 0.3
resplit: false
resume: ''
save_images: false
scale:
- 0.08
- 1.0
sched: cosine
sched_on_updates: false
seed: 42
smoothing: 0.1
split_bn: false
start_epoch: null
std: null
sync_bn: false
torchscript: false
train_interpolation: random
train_split: train
tta: 0
use_multi_epochs_loader: false
val_split: validation
validation_batch_size: null
vflip: 0.0
warmup_epochs: 10
warmup_lr: 1.0e-06
warmup_prefix: false
weight_decay: 0.05
worker_seeding: all
workers: 8