Upload folder using huggingface_hub
Browse files- /checkpoints/best-step-step=4500-val_acc=0.9959.ckpt +3 -0
- /checkpoints/last.ckpt +3 -0
- /config.yaml +111 -0
- /hparams.yaml +47 -0
- /metrics.csv +206 -0
/checkpoints/best-step-step=4500-val_acc=0.9959.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:12a08f91cb410d73bf34af40317de088484b5e7548f58a790172ecf959ea8bad
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size 686596895
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/checkpoints/last.ckpt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d62e386c5c6b2c4a62f6c53f43b546152893e22da57cf57243cf3fa37cd92c5f
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+
size 686596895
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/config.yaml
ADDED
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@@ -0,0 +1,111 @@
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# pytorch_lightning==2.0.2
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seed_everything: true
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| 3 |
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trainer:
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| 4 |
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accelerator: gpu
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| 5 |
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strategy: auto
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| 6 |
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devices: 1
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| 7 |
+
num_nodes: 1
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| 8 |
+
precision: 16-mixed
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| 9 |
+
logger:
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| 10 |
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class_path: pytorch_lightning.loggers.CSVLogger
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| 11 |
+
init_args:
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| 12 |
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save_dir: output
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| 13 |
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name: nuts
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| 14 |
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version: null
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| 15 |
+
prefix: ''
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| 16 |
+
flush_logs_every_n_steps: 100
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| 17 |
+
callbacks: null
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| 18 |
+
fast_dev_run: false
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| 19 |
+
max_epochs: null
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| 20 |
+
min_epochs: null
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| 21 |
+
max_steps: 5000
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| 22 |
+
min_steps: null
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| 23 |
+
max_time: null
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| 24 |
+
limit_train_batches: null
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| 25 |
+
limit_val_batches: null
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| 26 |
+
limit_test_batches: null
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| 27 |
+
limit_predict_batches: null
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| 28 |
+
overfit_batches: 0.0
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| 29 |
+
val_check_interval: 500
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| 30 |
+
check_val_every_n_epoch: null
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| 31 |
+
num_sanity_val_steps: null
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| 32 |
+
log_every_n_steps: null
|
| 33 |
+
enable_checkpointing: null
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| 34 |
+
enable_progress_bar: null
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| 35 |
+
enable_model_summary: null
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| 36 |
+
accumulate_grad_batches: 1
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| 37 |
+
gradient_clip_val: null
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| 38 |
+
gradient_clip_algorithm: null
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| 39 |
+
deterministic: null
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| 40 |
+
benchmark: null
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| 41 |
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inference_mode: true
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| 42 |
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use_distributed_sampler: true
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| 43 |
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profiler: null
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| 44 |
+
detect_anomaly: false
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| 45 |
+
barebones: false
|
| 46 |
+
plugins: null
|
| 47 |
+
sync_batchnorm: false
|
| 48 |
+
reload_dataloaders_every_n_epochs: 0
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| 49 |
+
default_root_dir: null
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| 50 |
+
model:
|
| 51 |
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model_name: vit-b16-224-in21k
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| 52 |
+
optimizer: sgd
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| 53 |
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lr: 0.01
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| 54 |
+
betas:
|
| 55 |
+
- 0.9
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| 56 |
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- 0.999
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| 57 |
+
momentum: 0.9
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| 58 |
+
weight_decay: 0.0
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| 59 |
+
scheduler: cosine
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| 60 |
+
warmup_steps: 500
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| 61 |
+
mixup_alpha: 0.0
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| 62 |
+
cutmix_alpha: 0.0
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| 63 |
+
mix_prob: 1.0
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| 64 |
+
label_smoothing: 0.0
|
| 65 |
+
weights: null
|
| 66 |
+
training_mode: full
|
| 67 |
+
lora_r: 16
|
| 68 |
+
lora_alpha: 16
|
| 69 |
+
lora_target_modules:
|
| 70 |
+
- query
|
| 71 |
+
- value
|
| 72 |
+
lora_dropout: 0.0
|
| 73 |
+
lora_bias: none
|
| 74 |
+
from_scratch: false
|
| 75 |
+
data:
|
| 76 |
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dataset: custom
|
| 77 |
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root: data/
|
| 78 |
+
num_classes: 10
|
| 79 |
+
size: 224
|
| 80 |
+
min_scale: 0.08
|
| 81 |
+
max_scale: 1.0
|
| 82 |
+
flip_prob: 0.5
|
| 83 |
+
rand_aug_n: 0
|
| 84 |
+
rand_aug_m: 9
|
| 85 |
+
erase_prob: 0.0
|
| 86 |
+
use_trivial_aug: false
|
| 87 |
+
mean:
|
| 88 |
+
- 0.5
|
| 89 |
+
- 0.5
|
| 90 |
+
- 0.5
|
| 91 |
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std:
|
| 92 |
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- 0.5
|
| 93 |
+
- 0.5
|
| 94 |
+
- 0.5
|
| 95 |
+
batch_size: 128
|
| 96 |
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workers: 8
|
| 97 |
+
model_checkpoint:
|
| 98 |
+
dirpath: null
|
| 99 |
+
filename: best-step-{step}-{val_acc:.4f}
|
| 100 |
+
monitor: val_acc
|
| 101 |
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verbose: false
|
| 102 |
+
save_last: true
|
| 103 |
+
save_top_k: 1
|
| 104 |
+
save_weights_only: false
|
| 105 |
+
mode: max
|
| 106 |
+
auto_insert_metric_name: true
|
| 107 |
+
every_n_train_steps: null
|
| 108 |
+
train_time_interval: null
|
| 109 |
+
every_n_epochs: null
|
| 110 |
+
save_on_train_epoch_end: null
|
| 111 |
+
ckpt_path: null
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/hparams.yaml
ADDED
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@@ -0,0 +1,47 @@
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| 1 |
+
model_name: vit-b16-224-in21k
|
| 2 |
+
optimizer: sgd
|
| 3 |
+
lr: 0.01
|
| 4 |
+
betas:
|
| 5 |
+
- 0.9
|
| 6 |
+
- 0.999
|
| 7 |
+
momentum: 0.9
|
| 8 |
+
weight_decay: 0.0
|
| 9 |
+
scheduler: cosine
|
| 10 |
+
warmup_steps: 500
|
| 11 |
+
n_classes: 10
|
| 12 |
+
mixup_alpha: 0.0
|
| 13 |
+
cutmix_alpha: 0.0
|
| 14 |
+
mix_prob: 1.0
|
| 15 |
+
label_smoothing: 0.0
|
| 16 |
+
image_size: 224
|
| 17 |
+
weights: null
|
| 18 |
+
training_mode: full
|
| 19 |
+
lora_r: 16
|
| 20 |
+
lora_alpha: 16
|
| 21 |
+
lora_target_modules:
|
| 22 |
+
- query
|
| 23 |
+
- value
|
| 24 |
+
lora_dropout: 0.0
|
| 25 |
+
lora_bias: none
|
| 26 |
+
from_scratch: false
|
| 27 |
+
dataset: custom
|
| 28 |
+
root: data/
|
| 29 |
+
num_classes: 10
|
| 30 |
+
size: 224
|
| 31 |
+
min_scale: 0.08
|
| 32 |
+
max_scale: 1.0
|
| 33 |
+
flip_prob: 0.5
|
| 34 |
+
rand_aug_n: 0
|
| 35 |
+
rand_aug_m: 9
|
| 36 |
+
erase_prob: 0.0
|
| 37 |
+
use_trivial_aug: false
|
| 38 |
+
mean:
|
| 39 |
+
- 0.5
|
| 40 |
+
- 0.5
|
| 41 |
+
- 0.5
|
| 42 |
+
std:
|
| 43 |
+
- 0.5
|
| 44 |
+
- 0.5
|
| 45 |
+
- 0.5
|
| 46 |
+
batch_size: 128
|
| 47 |
+
workers: 8
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/metrics.csv
ADDED
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@@ -0,0 +1,206 @@
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|
| 1 |
+
lr,train_loss_step,train_acc_step,train_acc_top5_step,epoch,step,train_loss_epoch,train_acc_epoch,train_acc_top5_epoch,val_loss,val_acc,val_acc_top5
|
| 2 |
+
0.0009800000116229057,2.188640594482422,0.40625,0.84375,0,49,,,,,,
|
| 3 |
+
,,,,0,52,2.2583699226379395,0.20061910152435303,0.640625,,,
|
| 4 |
+
0.001979999942705035,1.7443692684173584,0.7109375,0.953125,1,99,,,,,,
|
| 5 |
+
,,,,1,105,1.978491187095642,0.5896226167678833,0.9059551954269409,,,
|
| 6 |
+
0.0029800001066178083,1.1577157974243164,0.7109375,0.953125,2,149,,,,,,
|
| 7 |
+
,,,,2,158,1.336289882659912,0.7426297068595886,0.9389740824699402,,,
|
| 8 |
+
0.003980000037699938,0.6362015604972839,0.859375,0.984375,3,199,,,,,,
|
| 9 |
+
,,,,3,211,0.7070918083190918,0.8340212106704712,0.9827535152435303,,,
|
| 10 |
+
0.004980000201612711,0.39406847953796387,0.921875,1.0,4,249,,,,,,
|
| 11 |
+
,,,,4,264,0.43461230397224426,0.8785377144813538,0.9936615824699402,,,
|
| 12 |
+
0.005979999899864197,0.24827606976032257,0.9375,1.0,5,299,,,,,,
|
| 13 |
+
,,,,5,317,0.2684619724750519,0.9242334961891174,0.9970518946647644,,,
|
| 14 |
+
0.00698000006377697,0.2672410309314728,0.90625,0.9921875,6,349,,,,,,
|
| 15 |
+
,,,,6,370,0.1933872401714325,0.942806601524353,0.9966096878051758,,,
|
| 16 |
+
0.007980000227689743,0.1866435557603836,0.9375,1.0,7,399,,,,,,
|
| 17 |
+
,,,,7,423,0.15971948206424713,0.9535672068595886,0.9977889060974121,,,
|
| 18 |
+
0.008980000391602516,0.16058941185474396,0.953125,1.0,8,449,,,,,,
|
| 19 |
+
,,,,8,476,0.14193028211593628,0.9563679099082947,0.9979363083839417,,,
|
| 20 |
+
0.009979999624192715,0.15114179253578186,0.953125,1.0,9,499,,,,,,
|
| 21 |
+
,,,,9,499,,,,0.15797491371631622,0.9488966464996338,1.0
|
| 22 |
+
,,,,9,529,0.11015585064888,0.9656544923782349,0.9992629885673523,,,
|
| 23 |
+
0.009997074492275715,0.03847995772957802,0.9921875,1.0,10,549,,,,,,
|
| 24 |
+
,,,,10,582,0.09625416249036789,0.9709610939025879,0.9992629885673523,,,
|
| 25 |
+
0.009988062083721161,0.09704533964395523,0.96875,1.0,11,599,,,,,,
|
| 26 |
+
,,,,11,635,0.09519542753696442,0.9694870114326477,0.9988207817077637,,,
|
| 27 |
+
0.009972972795367241,0.07534511387348175,0.9765625,1.0,12,649,,,,,,
|
| 28 |
+
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0.009951825253665447,0.019934501498937607,1.0,1.0,13,699,,,,,,
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| 194 |
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7.656858360860497e-05,0.02981523610651493,0.9765625,1.0,89,4749,,,,,,
|
| 195 |
+
,,,,89,4769,0.010533451102674007,0.9966096878051758,1.0,,,
|
| 196 |
+
4.914666715194471e-05,0.0010502963559702039,1.0,1.0,90,4799,,,,,,
|
| 197 |
+
,,,,90,4822,0.009107301011681557,0.9967570900917053,1.0,,,
|
| 198 |
+
2.775660868792329e-05,0.019602488726377487,0.9921875,1.0,91,4849,,,,,,
|
| 199 |
+
,,,,91,4875,0.014281682670116425,0.9948408007621765,1.0,,,
|
| 200 |
+
1.2424459782778285e-05,0.0014843372628092766,1.0,1.0,92,4899,,,,,,
|
| 201 |
+
,,,,92,4928,0.009829012677073479,0.997199296951294,0.9998525977134705,,,
|
| 202 |
+
3.1689048682892462e-06,0.004152578767389059,1.0,1.0,93,4949,,,,,,
|
| 203 |
+
,,,,93,4981,0.013476332649588585,0.9955778121948242,1.0,,,
|
| 204 |
+
1.2184696585038068e-09,0.011198409833014011,0.9921875,1.0,94,4999,,,,,,
|
| 205 |
+
,,,,94,4999,,,,0.012996485456824303,0.9959349632263184,1.0
|
| 206 |
+
,,,,94,4999,0.010867015458643436,0.9965277910232544,1.0,,,
|