,j?JSSKrSSKrSr"SS\R5rSrg)NcJUR5nSU;aSSSSS.$SSSSS.$) NvitgMb@?g?g\(\?gư>)lrbeta1beta2epsg+?g:0yE>)lower) model_names ڤC:\Users\johnn\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\LocalCache\local-packages\Python313\site-packages\open_clip_train/params.pyget_default_paramsr s6!!#J sT&IIsU6JJc\rSrSrSSjrSrg) ParseKwargsNc0nUH/nURS5upv[R"U5XW'M1 [ X R U5 g![a [ U5XW'Mdf=f)N=)splitast literal_eval ValueErrorstrsetattrdest)selfparser namespacevalues option_stringkwvaluekeys r __call__ParseKwargs.__call__sd ES)JC %**51  99b) %e* %sAA*)A*)N)__name__ __module__ __qualname____firstlineno__r"__static_attributes__r$r r rrs*r rc [R"5nURS[SSS9 URS[SSS9 URS[SSS9 URS[SS S9 URS [SS S9 URS /S QSSS9 URSSSSS9 URS[SSS9 URS[SSS9 URS[SSS9 URS[SS S9 URS![SS"S9 URS#[SS$S9 URS%[S&S'S9 URS(SSS)S*9 URS+[SS,S9 URS-[S.S/S9 URS0[S1S2S9 URS3[S4S5S9 URS6[SS7S9 URS8[ SS9S9 URS:[ SS;S9 URS<[ SS=S9 URS>[ SS?S9 URS@[ SASBS9 URSC[ SSDS9 URSE[SFSGS9 URSH[SISJS9 URSKSSSLS9 URSMSSSNS*9 URSO[SPSQS9 URSR[ SSSTS9 URSU[ SVSWS9 URSX[SYSZS9 URS[SSS\S*9 URS][S^S_S9 URS`[SYSaS9 URSbS[ScSd9 URSe/SfQSgShS9 URSi[SjSkS9 URSlSm[SnSd9 URSoSSSpS9 URSqSSSrS9 URSs[StSuS9 URSvSSSwS9 URSx[ SySSzS{S|9 URS}[ SySS~SS|9 URSS[/SQSS9 URSS[/SQSS9 URSS0[ S9 URSSSSS9 URSSSSS9 URSSSSS9 URS[SSS9 URS[SySSS9 URSSSSS9 URSS[ SSd9 URSSSSS9 URSSSSS9 URSSSSS9 URSSSSS9 URS[SYSS9 URSS[SSd9 URSS[SSd9 URSS[SSd9 URSSm[SSd9 URSSm[SSd9 URS[SSS9 URSSSSS9 URSSSSS9 URSSSSS9 URSSSSS9 URSSSSS9 URS[StSS9 URS[ SSS9 URSSSSS9 URS[StSS9 URSSSSS9 URS[SSS9 URS[ SSS9 URS[ SVSS9 URS[SSS9 URS[SSS9 URSSS/SSS9 URSSSSS9 URSSSS9 URSSSS9 URSSSS9 URSSSSS9 URSS[SSd9 URU5nSUR;aH[UR5nUR5Hup4[X5bM[XU5 M! U$)Nz --train-datazyPath to file(s) with training data. When using webdataset, multiple datasources can be combined using the `::` separator.)typedefaulthelpz--train-data-upsampling-factorsaUWhen using multiple data sources with webdataset and sampling with replacement, this can be used to upsample specific data sources. Similar to --train-data, this should be a string with as many numbers as there are data sources, separated by `::` (e.g. 1::2::0.5) By default, datapoints are sampled uniformly regardless of the dataset sizes.z --val-dataz$Path to file(s) with validation dataz--train-num-sampleszTNumber of samples in dataset. Required for webdataset if not available in info file.z--val-num-sampleszRNumber of samples in dataset. Useful for webdataset if not available in info file.z--dataset-type) webdatasetcsv syntheticautor1z!Which type of dataset to process.)choicesr,r-z--dataset-resampledF store_truezHWhether to use sampling with replacement for webdataset shard selection.)r,actionr-z--csv-separator z.For csv-like datasets, which separator to use.z --csv-img-keyfilepathz?For csv-like datasets, the name of the key for the image paths.z--csv-caption-keytitlez= 1.11.z--no-set-device-rankz^Don't set device index from local rank (when CUDA_VISIBLE_DEVICES restricted to one per proc).z--seedzDefault random seed.z--grad-clip-normzGradient clip.z --lock-textz,Lock full text tower by disabling gradients.z--lock-text-unlocked-layersz.Leave last n text tower layer groups unlocked.z--lock-text-freeze-layer-normzCFreeze LayerNorm running stats in text tower for any locked layers.z--log-every-n-stepsdz/Log every n steps to tensorboard/console/wandb.z--coca-caption-loss-weightg@z(Weight assigned to caption loss in CoCa.z--coca-contrastive-loss-weightz7Weight assigned to contrastive loss when training CoCa.z --remote-syncz8Optinoally sync with a remote path specified by this argz--remote-sync-frequencyi,zIHow frequently to sync to a remote directly if --remote-sync is not None.z--remote-sync-protocols3fsspecz>How to do the remote sync backup if --remote-sync is not None.z--delete-previous-checkpointz   & S   U#tV ;= EdE AC 3(I :  3(I K   3;O  -    k    B    sD . 3c4 *  S     w    G    i    H    B   S!2] F3H   6     M     H     *     9    3    ]    4    K    m   sA,B ;K  ;   %  =   ' R     >   $  7   (  F     G   !  X    x  M   & K    8   A  /   )     N    T "D TXX+DJJ7'--/IDt"*C(0 Kr )rZrr Actionrr_r$r r ris' K *(// *Rr