snats's picture
added a couple of models and their checkpoints
3e7991a
accum_freq: 1
aug_cfg: {}
batch_size: 2048
beta1: 0.9
beta2: 0.98
checkpoint_path: /home/breaking_0.1_trained/10% most difficult/checkpoints
coca_caption_loss_weight: 2.0
coca_contrastive_loss_weight: 1.0
copy_codebase: False
csv_caption_key: title
csv_img_key: filepath
csv_separator:
dataset_resampled: True
dataset_type: webdataset
ddp_static_graph: True
debug: False
delete_previous_checkpoint: False
device: cuda:0
dist_backend: nccl
dist_url: env://
distill: False
distill_model: None
distill_pretrained: None
distributed: True
epochs: 5
epochs_cooldown: None
eps: 1e-06
force_custom_text: False
force_image_size: None
force_patch_dropout: None
force_quick_gelu: False
gather_with_grad: True
grad_checkpointing: True
grad_clip_norm: None
horovod: False
image_mean: None
image_std: None
imagenet_v2: None
imagenet_val: None
local_loss: True
local_rank: 0
lock_image: False
lock_image_freeze_bn_stats: False
lock_image_unlocked_groups: 0
lock_text: False
lock_text_freeze_layer_norm: False
lock_text_unlocked_layers: 0
log_every_n_steps: 100
log_level: 20
log_local: False
log_path: /home/breaking_0.1_trained/10% most difficult/out.log
logs: /home/breaking_0.1_trained
lr: 0.0005
lr_cooldown_end: 0.0
lr_cooldown_power: 1.0
lr_scheduler: cosine
model: ViT-B-32
name: 10% most difficult
no_set_device_rank: False
precision: amp
pretrained:
pretrained_image: False
rank: 0
remote_sync: None
remote_sync_frequency: 300
remote_sync_protocol: s3
report_to: wandb
resume: None
save_frequency: 0
save_most_recent: True
seed: 0
skip_scheduler: False
tensorboard: False
tensorboard_path:
torchscript: False
trace: False
train_data: /home/breaking_0.1/{00000000..00000127}.tar
train_data_upsampling_factors: None
train_num_samples: 2560000
use_bn_sync: False
val_data: None
val_frequency: 1
val_num_samples: None
wandb: True
wandb_notes:
wandb_project_name: clip_text_hq_clusters
warmup: 500
wd: 0.2
workers: 4
world_size: 2
zeroshot_frequency: 2