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lierotica_llama2

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  1. README.md +57 -0
  2. adapter_config.json +34 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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+ model-index:
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+ - name: working
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # working
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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+ - training_steps: 40
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.2
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588
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589
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591
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593
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595
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598
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599
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600
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602
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603
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604
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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632
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633
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635
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636
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637
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653
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658
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660
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686
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704
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706
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715
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716
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718
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719
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720
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722
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726
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728
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730
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731
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732
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733
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737
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738
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740
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744
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745
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750
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768
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771
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772
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773
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774
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775
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777
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778
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780
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781
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782
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785
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787
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790
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791
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792
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793
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794
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796
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797
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798
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800
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801
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802
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804
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805
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806
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807
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808
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809
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810
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811
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812
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813
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814
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815
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816
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817
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818
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819
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820
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821
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822
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823
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824
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825
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826
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827
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828
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829
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830
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831
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832
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833
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834
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835
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836
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837
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838
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839
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840
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841
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842
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843
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844
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845
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846
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847
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848
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849
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850
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851
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852
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853
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854
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855
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856
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857
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858
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859
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860
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861
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862
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863
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864
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865
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866
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867
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868
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869
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870
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871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
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891
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
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904
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905
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906
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907
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908
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909
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910
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911
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912
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913
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914
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915
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916
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917
+ - setproctitle==1.3.3
918
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919
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920
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921
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922
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923
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924
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925
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926
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927
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928
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929
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930
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931
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932
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933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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946
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947
+ - stable-baselines3==2.1.0
948
+ - stack-data==0.6.3
949
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950
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951
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952
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953
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954
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955
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956
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957
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958
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959
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960
+ - tbb==2021.11.0
961
+ - tenacity==8.2.3
962
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963
+ - tensorboard-data-server==0.7.2
964
+ - tensorboard-plugin-profile==2.15.0
965
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966
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967
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968
+ - tensorflow-datasets==4.9.4
969
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970
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971
+ - tensorflow-hub==0.16.1
972
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973
+ - tensorflow-io-gcs-filesystem==0.35.0
974
+ - tensorflow-metadata==0.14.0
975
+ - tensorflow-probability==0.23.0
976
+ - tensorflow-serving-api==2.14.1
977
+ - tensorflow-text==2.15.0
978
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979
+ - tensorpack==0.11
980
+ - tensorstore==0.1.56
981
+ - termcolor==2.4.0
982
+ - testpath==0.6.0
983
+ - text-unidecode==1.3
984
+ - textblob==0.18.0.post0
985
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986
+ - tf-keras==2.15.1
987
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988
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989
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990
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991
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992
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993
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994
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995
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996
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997
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998
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999
+ - torchaudio==2.1.2
1000
+ - torchdata==0.7.1
1001
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1002
+ - torchmetrics==1.3.2
1003
+ - torchtext==0.16.2
1004
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1005
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1006
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1007
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1008
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1009
+ - treelite-runtime==3.2.0
1010
+ - trl==0.8.1
1011
+ - trueskill==0.4.5
1012
+ - trx-python==0.2.9
1013
+ - tsfresh==0.20.2
1014
+ - typeguard==4.1.5
1015
+ - typing-inspect==0.9.0
1016
+ - tyro==0.8.2
1017
+ - tzdata==2023.4
1018
+ - uc-micro-py==1.0.3
1019
+ - ujson==5.9.0
1020
+ - umap-learn==0.5.5
1021
+ - unidecode==1.3.8
1022
+ - update-checker==0.18.0
1023
+ - uritemplate==3.0.1
1024
+ - urllib3==1.26.18
1025
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1026
+ - urwid-readline==0.14
1027
+ - uvicorn==0.25.0
1028
+ - uvloop==0.19.0
1029
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1030
+ - vaex-astro==0.9.3
1031
+ - vaex-core==4.17.1
1032
+ - vaex-hdf5==0.14.1
1033
+ - vaex-jupyter==0.8.2
1034
+ - vaex-ml==0.18.3
1035
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1036
+ - vaex-viz==0.5.4
1037
+ - vec-noise==1.1.4
1038
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1039
+ - virtualenv==20.21.0
1040
+ - visions==0.7.5
1041
+ - vowpalwabbit==9.9.0
1042
+ - vtk==9.3.0
1043
+ - wand==0.6.13
1044
+ - wandb==0.16.4
1045
+ - watchfiles==0.21.0
1046
+ - wavio==0.0.8
1047
+ - websockets==12.0
1048
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1049
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1050
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1051
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1052
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1053
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1054
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1055
+ - wordsegment==1.3.1
1056
+ - wrapt==1.14.1
1057
+ - xarray==2024.2.0
1058
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1059
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1060
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1061
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1062
+ - y-py==0.6.2
1063
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1064
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1065
+ - ydata-profiling==4.6.4
1066
+ - yellowbrick==1.5
1067
+ - ypy-websocket==0.8.4
1068
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+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
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+ warnings.warn('Was asked to gather along dimension 0, but all '
5
+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
6
+ warnings.warn(
7
+ /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
8
+ warnings.warn('Was asked to gather along dimension 0, but all '
9
+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
10
+ warnings.warn(
11
+ /opt/conda/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
12
+ warnings.warn('Was asked to gather along dimension 0, but all '
13
+ huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
14
+ To disable this warning, you can either:
15
+ - Avoid using `tokenizers` before the fork if possible
16
+ - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
17
+ Requirement already satisfied: huggingface_hub in /opt/conda/lib/python3.10/site-packages (0.21.4)
18
+ Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (3.13.1)
19
+ Requirement already satisfied: fsspec>=2023.5.0 in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (2023.10.0)
20
+ Requirement already satisfied: requests in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (2.31.0)
21
+ Requirement already satisfied: tqdm>=4.42.1 in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (4.66.1)
22
+ Requirement already satisfied: pyyaml>=5.1 in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (6.0.1)
23
+ Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (4.9.0)
24
+ Requirement already satisfied: packaging>=20.9 in /opt/conda/lib/python3.10/site-packages (from huggingface_hub) (21.3)
25
+ Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /opt/conda/lib/python3.10/site-packages (from packaging>=20.9->huggingface_hub) (3.1.1)
26
+ Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/lib/python3.10/site-packages (from requests->huggingface_hub) (3.3.2)
27
+ Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.10/site-packages (from requests->huggingface_hub) (3.6)
28
+ Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests->huggingface_hub) (1.26.18)
29
+ Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.10/site-packages (from requests->huggingface_hub) (2024.2.2)
30
+ Note: you may need to restart the kernel to use updated packages.
wandb/run-20240408_182243-93ndfgce/files/requirements.txt ADDED
@@ -0,0 +1,879 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ==
2
+ Babel==2.14.0
3
+ Boruta==0.3
4
+ Brotli==1.0.9
5
+ CVXcanon==0.1.2
6
+ Cartopy==0.22.0
7
+ Cython==3.0.8
8
+ Deprecated==1.2.14
9
+ Farama-Notifications==0.0.4
10
+ Flask==3.0.2
11
+ Geohash==1.0
12
+ GitPython==3.1.41
13
+ ImageHash==4.3.1
14
+ Janome==0.5.0
15
+ Jinja2==3.1.2
16
+ Levenshtein==0.25.0
17
+ LunarCalendar==0.0.9
18
+ Mako==1.3.2
19
+ Markdown==3.5.2
20
+ MarkupSafe==2.1.3
21
+ MarkupSafe==2.1.5
22
+ Pillow==9.5.0
23
+ PuLP==2.8.0
24
+ PyArabic==0.6.15
25
+ PyAstronomy==0.21.0
26
+ PyJWT==2.8.0
27
+ PyMeeus==0.5.12
28
+ PySocks==1.7.1
29
+ PyUpSet==0.1.1.post7
30
+ PyWavelets==1.5.0
31
+ PyYAML==6.0.1
32
+ Pygments==2.17.2
33
+ Pympler==1.0.1
34
+ QtPy==2.4.1
35
+ Rtree==1.2.0
36
+ SQLAlchemy==2.0.25
37
+ SecretStorage==3.3.3
38
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39
+ Shapely==1.8.5.post1
40
+ Shimmy==1.3.0
41
+ SimpleITK==2.3.1
42
+ TPOT==0.12.1
43
+ Theano-PyMC==1.1.2
44
+ Theano==1.0.5
45
+ Unidecode==1.3.8
46
+ Wand==0.6.13
47
+ Werkzeug==3.0.1
48
+ absl-py==1.4.0
49
+ accelerate==0.28.0
50
+ access==1.1.9
51
+ affine==2.4.0
52
+ aiobotocore==2.12.1
53
+ aiofiles==22.1.0
54
+ aiohttp-cors==0.7.0
55
+ aiohttp==3.9.1
56
+ aioitertools==0.11.0
57
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58
+ aiosignal==1.3.1
59
+ aiosqlite==0.19.0
60
+ albumentations==1.4.0
61
+ alembic==1.13.1
62
+ altair==5.2.0
63
+ annotated-types==0.6.0
64
+ annoy==1.17.3
65
+ anyio==4.2.0
66
+ apache-beam==2.46.0
67
+ aplus==0.11.0
68
+ appdirs==1.4.4
69
+ archspec==0.2.2
70
+ argon2-cffi-bindings==21.2.0
71
+ argon2-cffi==23.1.0
72
+ array-record==0.5.0
73
+ arrow==1.3.0
74
+ arviz==0.17.1
75
+ astroid==3.0.3
76
+ astropy-iers-data==0.2024.3.18.0.29.47
77
+ astropy==6.0.0
78
+ asttokens==2.4.1
79
+ astunparse==1.6.3
80
+ async-lru==2.0.4
81
+ async-timeout==4.0.3
82
+ attrs==23.2.0
83
+ audioread==3.0.1
84
+ autopep8==2.0.4
85
+ backoff==2.2.1
86
+ bayesian-optimization==1.4.3
87
+ beatrix_jupyterlab==2023.128.151533
88
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89
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90
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91
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92
+ bleach==6.1.0
93
+ blessed==1.20.0
94
+ blinker==1.7.0
95
+ blis==0.7.10
96
+ blosc2==2.5.1
97
+ bokeh==3.3.4
98
+ boltons==23.1.1
99
+ boto3==1.26.100
100
+ botocore==1.34.51
101
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102
+ bqplot==0.12.43
103
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104
+ brewer2mpl==1.4.1
105
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106
+ cached-property==1.5.2
107
+ cachetools==4.2.4
108
+ cachetools==5.3.2
109
+ catalogue==2.0.10
110
+ catalyst==22.4
111
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112
+ category-encoders==2.6.3
113
+ certifi==2024.2.2
114
+ cesium==0.12.1
115
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116
+ charset-normalizer==3.3.2
117
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118
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119
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120
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121
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122
+ cloud-tpu-client==0.10
123
+ cloud-tpu-profiler==2.4.0
124
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125
+ cloudpickle==2.2.1
126
+ cloudpickle==3.0.0
127
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128
+ cmudict==1.0.21
129
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130
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131
+ colorful==0.5.6
132
+ colorlog==6.8.2
133
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134
+ comm==0.2.1
135
+ conda-libmamba-solver==23.7.0
136
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137
+ conda==23.7.4
138
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139
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140
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141
+ contourpy==1.2.0
142
+ convertdate==2.4.0
143
+ crcmod==1.7
144
+ cryptography==41.0.7
145
+ cuda-python==12.4.0
146
+ cudf==23.8.0
147
+ cufflinks==0.17.3
148
+ cuml==23.8.0
149
+ cupy==13.0.0
150
+ cycler==0.12.1
151
+ cymem==2.0.8
152
+ cytoolz==0.12.3
153
+ daal4py==2024.1.0
154
+ daal==2024.1.0
155
+ dacite==1.8.1
156
+ dask-cuda==23.8.0
157
+ dask-cudf==23.8.0
158
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159
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160
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161
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162
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163
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164
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165
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166
+ deap==1.4.1
167
+ debugpy==1.8.0
168
+ decorator==5.1.1
169
+ deepdiff==6.7.1
170
+ defusedxml==0.7.1
171
+ deprecation==2.1.0
172
+ descartes==1.1.0
173
+ dill==0.3.7
174
+ dipy==1.9.0
175
+ distlib==0.3.8
176
+ distributed==2023.7.1
177
+ distro==1.9.0
178
+ dm-tree==0.1.8
179
+ docker-pycreds==0.4.0
180
+ docker==7.0.0
181
+ docopt==0.6.2
182
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183
+ docstring-to-markdown==0.15
184
+ docutils==0.20.1
185
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186
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187
+ easyocr==1.7.1
188
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189
+ eli5==0.13.0
190
+ emoji==2.10.1
191
+ en-core-web-lg==3.7.1
192
+ en-core-web-sm==3.7.1
193
+ entrypoints==0.4
194
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195
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196
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197
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198
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199
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200
+ executing==2.0.1
201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
+ google-ai-generativelanguage==0.4.0
246
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247
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248
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249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
+ google-cloud-recommendations-ai==0.7.1
267
+ google-cloud-resource-manager==1.11.0
268
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269
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270
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271
+ google-cloud-videointelligence==2.13.3
272
+ google-cloud-vision==2.8.0
273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
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364
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365
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366
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367
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368
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369
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370
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371
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372
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373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
+ keras-nlp==0.8.2
384
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385
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386
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363
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371
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393
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396
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397
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398
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399
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400
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401
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408
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409
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410
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411
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438
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440
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441
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442
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443
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444
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452
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453
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462
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463
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464
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465
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471
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474
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476
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477
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478
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492
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493
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494
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495
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533
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534
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537
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540
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541
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543
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544
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545
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546
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547
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552
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553
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554
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555
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556
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558
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559
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560
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561
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562
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563
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564
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565
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567
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568
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569
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570
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571
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572
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573
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574
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576
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577
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578
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579
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580
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582
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584
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585
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586
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593
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594
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595
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597
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598
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599
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600
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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622
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624
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625
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626
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627
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628
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629
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630
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632
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633
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635
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636
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637
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657
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658
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659
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660
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661
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662
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663
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664
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666
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674
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675
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679
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680
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681
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682
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683
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684
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685
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686
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689
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691
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
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704
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705
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706
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707
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708
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709
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712
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713
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714
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715
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716
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717
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718
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719
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720
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722
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725
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726
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727
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728
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729
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730
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731
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732
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733
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734
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735
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736
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737
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738
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740
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741
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743
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744
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745
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746
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747
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748
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749
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750
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751
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752
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753
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754
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755
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756
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757
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758
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759
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760
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761
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762
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763
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764
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765
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768
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769
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770
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771
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772
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773
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774
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775
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776
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777
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778
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779
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780
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781
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782
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783
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785
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790
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791
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792
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793
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794
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796
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797
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798
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800
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801
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802
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803
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804
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805
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806
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807
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808
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810
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812
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813
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814
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815
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816
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817
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818
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823
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824
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+ 2024-04-08 18:56:12,348 INFO MainThread:347 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 2048, 'hidden_size': 2048, 'intermediate_size': 5632, 'num_hidden_layers': 22, 'num_attention_heads': 32, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 10000.0, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 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wandb/run-20240408_184716-rbc2gze0/run-rbc2gze0.wandb ADDED
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