classify-ISIN-STEP5 / README.md
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metadata
base_model: albert/albert-base-v2
license: apache-2.0
metrics:
  - accuracy
  - f1
  - precision
  - recall
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: classify-ISIN-STEP5
    results: []

classify-ISIN-STEP5

This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 4.2671
  • Accuracy: 0.3299
  • F1: 0.2074
  • Precision: 0.1550
  • Recall: 0.3299
  • Accuracy Label Gd622: null: 1.0
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  • Accuracy Label Gd622:xs3344556686: 0.0
  • Accuracy Label Gd622:xs3345678901: 0.0
  • Accuracy Label Gd622:xs3356789012: 0.0
  • Accuracy Label Gd622:xs3367890123: 0.0
  • Accuracy Label Gd622:xs3378901234: 0.0
  • Accuracy Label Gd622:xs3389012345: 0.0
  • Accuracy Label Gd622:xs3390123456: 0.0
  • Accuracy Label Gd622:xs3401234567: 0.0
  • Accuracy Label Gd622:xs3412345678: 0.0
  • Accuracy Label Gd622:xs3423456789: 0.0
  • Accuracy Label Gd622:xs3434567890: 0.0
  • Accuracy Label Gd622:xs3445678901: 0.0
  • Accuracy Label Gd622:xs3456789012: 0.0
  • Accuracy Label Gd622:xs3467890123: 0.0
  • Accuracy Label Gd622:xs3478901234: 0.0
  • Accuracy Label Gd622:xs3489012345: 0.0
  • Accuracy Label Gd622:xs3490123456: 0.0
  • Accuracy Label Gd622:xs3501234567: 0.0
  • Accuracy Label Gd622:xs3512345678: 0.0
  • Accuracy Label Gd622:xs3523456789: 0.0
  • Accuracy Label Gd622:xs3534567890: 0.0
  • Accuracy Label Gd622:xs3545678901: 0.0
  • Accuracy Label Gd622:xs3556789012: 0.0
  • Accuracy Label Gd622:xs3567890123: 0.0
  • Accuracy Label Gd622:xs3578901234: 0.0
  • Accuracy Label Gd622:xs3589012345: 0.0
  • Accuracy Label Gd622:xs3590123456: 0.0
  • Accuracy Label Gd622:xs3601234567: 0.0
  • Accuracy Label Gd622:xs3612345678: 0.0
  • Accuracy Label Gd622:xs3623456789: 0.0
  • Accuracy Label Gd622:xs3634567890: 0.0
  • Accuracy Label Gd622:xs3645678901: 0.0
  • Accuracy Label Gd622:xs3656789012: 0.0
  • Accuracy Label Gd622:xs3667890123: 0.0
  • Accuracy Label Gd622:xs3678901234: 0.0
  • Accuracy Label Gd622:xs3689012345: 0.0
  • Accuracy Label Gd622:xs3690123456: 0.0
  • Accuracy Label Gd622:xs3701234567: 0.0
  • Accuracy Label Gd622:xs3712345678: 0.0
  • Accuracy Label Gd622:xs3723456789: 0.0
  • Accuracy Label Gd622:xs3734567890: 0.0
  • Accuracy Label Gd622:xs3745678901: 0.0
  • Accuracy Label Gd622:xs3756789012: 0.0
  • Accuracy Label Gd622:xs3767890123: 0.0
  • Accuracy Label Gd622:xs3778901234: 0.0
  • Accuracy Label Gd622:xs3789012345: 0.0
  • Accuracy Label Gd622:xs3790123456: 0.0
  • Accuracy Label Gd622:xs3801234567: 0.0
  • Accuracy Label Gd622:xs3812345678: 0.0
  • Accuracy Label Gd622:xs3823456789: 0.0
  • Accuracy Label Gd622:xs3834567890: 0.0
  • Accuracy Label Gd622:xs3845678901: 0.0
  • Accuracy Label Gd622:xs3856789012: 0.0
  • Accuracy Label Gd622:xs3867890123: 0.0
  • Accuracy Label Gd622:xs3878901234: 0.0
  • Accuracy Label Gd622:xs3889012345: 0.0
  • Accuracy Label Gd622:xs3890123456: 0.0
  • Accuracy Label Gd622:xs3901234567: 0.0
  • Accuracy Label Gd622:xs3912345678: 0.0
  • Accuracy Label Gd622:xs3923456789: 0.0
  • Accuracy Label Gd622:xs3934567890: 0.0
  • Accuracy Label Gd622:xs3945678901: 0.0
  • Accuracy Label Gd622:xs3956789012: 0.0
  • Accuracy Label Gd622:xs3967890123: 0.0
  • Accuracy Label Gd622:xs4455667780: 0.0
  • Accuracy Label Gd622:xs4455667781: 0.0
  • Accuracy Label Gd622:xs4455667782: 0.0
  • Accuracy Label Gd622:xs4455667783: 0.0
  • Accuracy Label Gd622:xs4455667784: 0.0
  • Accuracy Label Gd622:xs4455667785: 0.0
  • Accuracy Label Gd622:xs4455667786: 0.0
  • Accuracy Label Gd622:xs4455667787: 0.0
  • Accuracy Label Gd622:xs4455667788: 0.0
  • Accuracy Label Gd622:xs4455667789: 0.0
  • Accuracy Label Gd622:xs5566778890: 0.0
  • Accuracy Label Gd622:xs5566778891: 0.0
  • Accuracy Label Gd622:xs5566778892: 0.0
  • Accuracy Label Gd622:xs5566778893: 0.0
  • Accuracy Label Gd622:xs5566778894: 0.0
  • Accuracy Label Gd622:xs5566778895: 0.0
  • Accuracy Label Gd622:xs5566778896: 0.0
  • Accuracy Label Gd622:xs5566778897: 0.0
  • Accuracy Label Gd622:xs5566778899: 0.0
  • Accuracy Label Gd622:xs6101234567: 0.0
  • Accuracy Label Gd622:xs6112345678: 0.0
  • Accuracy Label Gd622:xs6123456789: 0.0
  • Accuracy Label Gd622:xs6134567890: 0.0
  • Accuracy Label Gd622:xs6145678901: 0.0
  • Accuracy Label Gd622:xs6156789012: 0.0
  • Accuracy Label Gd622:xs6167890123: 0.0
  • Accuracy Label Gd622:xs6178901234: 0.0
  • Accuracy Label Gd622:xs6189012345: 0.0
  • Accuracy Label Gd622:xs6190123456: 0.0
  • Accuracy Label Gd622:xs6201234567: 0.0
  • Accuracy Label Gd622:xs6212345678: 0.0
  • Accuracy Label Gd622:xs6223456789: 0.0
  • Accuracy Label Gd622:xs6234567890: 0.0
  • Accuracy Label Gd622:xs6245678901: 0.0
  • Accuracy Label Gd622:xs6256789012: 0.0
  • Accuracy Label Gd622:xs6267890123: 0.0
  • Accuracy Label Gd622:xs6278901234: 0.0
  • Accuracy Label Gd622:xs6289012345: 0.0
  • Accuracy Label Gd622:xs6290123456: 0.0
  • Accuracy Label Gd622:xs6301234567: 0.0
  • Accuracy Label Gd622:xs6312345678: 0.0
  • Accuracy Label Gd622:xs6323456789: 0.0
  • Accuracy Label Gd622:xs6334567890: 0.0
  • Accuracy Label Gd622:xs6345678901: 0.0
  • Accuracy Label Gd622:xs6356789012: 0.0
  • Accuracy Label Gd622:xs6367890123: 0.0
  • Accuracy Label Gd622:xs6378901234: 0.0
  • Accuracy Label Gd622:xs6389012345: 0.0
  • Accuracy Label Gd622:xs6390123456: 0.0
  • Accuracy Label Gd622:xs6401234567: 0.0
  • Accuracy Label Gd622:xs6412345678: 0.0
  • Accuracy Label Gd622:xs6423456789: 0.0
  • Accuracy Label Gd622:xs6434567890: 0.0
  • Accuracy Label Gd622:xs6445678901: 0.0
  • Accuracy Label Gd622:xs6456789012: 0.0
  • Accuracy Label Gd622:xs6467890123: 0.0
  • Accuracy Label Gd622:xs6478901234: 0.0
  • Accuracy Label Gd622:xs6489012345: 0.0
  • Accuracy Label Gd622:xs6490123456: 0.0
  • Accuracy Label Gd622:xs6501234567: 0.0
  • Accuracy Label Gd622:xs6512345678: 0.0
  • Accuracy Label Gd622:xs6523456789: 0.0
  • Accuracy Label Gd622:xs6534567890: 0.0
  • Accuracy Label Gd622:xs6545678901: 0.0
  • Accuracy Label Gd622:xs6556789012: 0.0
  • Accuracy Label Gd622:xs6567890123: 0.0
  • Accuracy Label Gd622:xs6578901234: 0.0
  • Accuracy Label Gd622:xs6589012345: 0.0
  • Accuracy Label Gd622:xs6590123456: 0.0
  • Accuracy Label Gd622:xs6601234567: 0.0
  • Accuracy Label Gd622:xs6677889900: 0.0
  • Accuracy Label Gd622:xs6677889901: 0.0
  • Accuracy Label Gd622:xs6677889902: 0.0
  • Accuracy Label Gd622:xs6677889903: 0.0
  • Accuracy Label Gd622:xs6677889904: 0.0
  • Accuracy Label Gd622:xs6677889905: 0.0
  • Accuracy Label Gd622:xs6677889906: 0.0
  • Accuracy Label Gd622:xs6677889907: 0.0
  • Accuracy Label Gd622:xs6677889908: 0.0
  • Accuracy Label Gd622:xs7101234567: 0.0
  • Accuracy Label Gd622:xs7112345678: 0.0
  • Accuracy Label Gd622:xs7123456789: 0.0
  • Accuracy Label Gd622:xs7134567890: 0.0
  • Accuracy Label Gd622:xs7145678901: 0.0
  • Accuracy Label Gd622:xs7156789012: 0.0
  • Accuracy Label Gd622:xs7167890123: 0.0
  • Accuracy Label Gd622:xs7178901234: 0.0
  • Accuracy Label Gd622:xs7189012345: 0.0
  • Accuracy Label Gd622:xs7190123456: 0.0
  • Accuracy Label Gd622:xs7201234567: 0.0
  • Accuracy Label Gd622:xs7212345678: 0.0
  • Accuracy Label Gd622:xs7223456789: 0.0
  • Accuracy Label Gd622:xs7234567890: 0.0
  • Accuracy Label Gd622:xs7245678901: 0.0
  • Accuracy Label Gd622:xs7256789012: 0.0
  • Accuracy Label Gd622:xs7267890123: 0.0
  • Accuracy Label Gd622:xs7278901234: 0.0
  • Accuracy Label Gd622:xs7289012345: 0.0
  • Accuracy Label Gd622:xs7290123456: 0.0
  • Accuracy Label Gd622:xs7301234567: 0.0
  • Accuracy Label Gd622:xs7312345678: 0.0
  • Accuracy Label Gd622:xs7323456789: 0.0
  • Accuracy Label Gd622:xs7334567890: 0.0
  • Accuracy Label Gd622:xs7345678901: 0.0
  • Accuracy Label Gd622:xs7356789012: 0.0
  • Accuracy Label Gd622:xs7367890123: 0.0
  • Accuracy Label Gd622:xs7378901234: 0.0
  • Accuracy Label Gd622:xs7389012345: 0.0
  • Accuracy Label Gd622:xs7390123456: 0.0
  • Accuracy Label Gd622:xs7401234567: 0.0
  • Accuracy Label Gd622:xs7412345678: 0.0
  • Accuracy Label Gd622:xs7423456789: 0.0
  • Accuracy Label Gd622:xs7434567890: 0.0
  • Accuracy Label Gd622:xs7445678901: 0.0
  • Accuracy Label Gd622:xs7456789012: 0.0
  • Accuracy Label Gd622:xs7467890123: 0.0
  • Accuracy Label Gd622:xs7478901234: 0.0
  • Accuracy Label Gd622:xs7489012345: 0.0
  • Accuracy Label Gd622:xs7490123456: 0.0
  • Accuracy Label Gd622:xs7501234567: 0.0
  • Accuracy Label Gd622:xs7512345678: 0.0
  • Accuracy Label Gd622:xs7523456789: 0.0
  • Accuracy Label Gd622:xs7534567890: 0.0
  • Accuracy Label Gd622:xs7545678901: 0.0
  • Accuracy Label Gd622:xs7556789012: 0.0
  • Accuracy Label Gd622:xs7567890123: 0.0
  • Accuracy Label Gd622:xs7578901234: 0.0
  • Accuracy Label Gd622:xs7589012345: 0.0
  • Accuracy Label Gd622:xs7590123456: 0.0
  • Accuracy Label Gd622:xs7601234567: 0.0
  • Accuracy Label Gd622:xs7788990011: 0.0
  • Accuracy Label Gd622:xs7788990012: 0.0
  • Accuracy Label Gd622:xs7788990013: 0.0
  • Accuracy Label Gd622:xs7788990014: 0.0
  • Accuracy Label Gd622:xs7788990015: 0.0
  • Accuracy Label Gd622:xs7788990016: 0.0
  • Accuracy Label Gd622:xs7788990017: 0.0
  • Accuracy Label Gd622:xs7788990018: 0.0
  • Accuracy Label Gd622:xs7788990019: 0.0
  • Accuracy Label Gd622:xs8899001122: 0.0
  • Accuracy Label Gd622:xs8899001123: 0.0
  • Accuracy Label Gd622:xs8899001124: 0.0
  • Accuracy Label Gd622:xs8899001125: 0.0
  • Accuracy Label Gd622:xs8899001126: 0.0
  • Accuracy Label Gd622:xs8899001127: 0.0
  • Accuracy Label Gd622:xs8899001128: 0.0
  • Accuracy Label Gd622:xs8899001129: 0.0
  • Accuracy Label Gd622:xs8899001130: 0.0
  • Accuracy Label Gd622:xs9900112233: 0.0
  • Accuracy Label Gd622:xs9900112234: 0.0
  • Accuracy Label Gd622:xs9900112235: 0.0
  • Accuracy Label Gd622:xs9900112236: 0.0
  • Accuracy Label Gd622:xs9900112237: 0.0
  • Accuracy Label Gd622:xs9900112238: 0.0
  • Accuracy Label Gd622:xs9900112239: 0.0
  • Accuracy Label Gd622:xs9900112240: 0.0
  • Accuracy Label Gd622:xs9900112241: 0.0
  • Accuracy Label Gd622:xs9900112242: 0.0
  • Accuracy Label Gd622:xs9900112243: 0.0
  • Accuracy Label Gd622:xs9900112244: 0.0
  • Accuracy Label Gd622:xs9900112245: 0.0
  • Accuracy Label Gd622:xs9900112246: 0.0
  • Accuracy Label Gd622:xs9900112247: 0.0
  • Accuracy Label Gd622:xs9900112248: 0.0
  • Accuracy Label Gd622:xs9900112249: 0.0
  • Accuracy Label Gd622:xs9900112250: 0.0
  • Accuracy Label Gd622:xs9900112251: 0.0
  • Accuracy Label Gd622:xs9900112252: 0.0
  • Accuracy Label Gd622:xs9900112253: 0.0
  • Accuracy Label Gd622:xs9900112254: 0.0
  • Accuracy Label Gd622:xs9900112255: 0.0
  • Accuracy Label Gd622:xs9900112256: 0.0
  • Accuracy Label Gd622:xs9900112257: 0.0
  • Accuracy Label Gd622:xs9900112258: 0.0
  • Accuracy Label Gd622:xs9900112259: 0.0
  • Accuracy Label Gd622:xs9900112260: 0.0
  • Accuracy Label Gd622:xs9900112261: 0.0
  • Accuracy Label Gd622:xs9900112262: 0.0
  • Accuracy Label Gd622:xs9900112263: 0.0
  • Accuracy Label Gd622:xs9900112264: 0.0
  • Accuracy Label Gd622:xs9900112265: 0.0
  • Accuracy Label Gd622:xs9900112266: 0.0
  • Accuracy Label Gd622:xs9900112267: 0.0
  • Accuracy Label Gd622:xs9900112268: 0.0
  • Accuracy Label Gd622:xs9900112269: 0.0
  • Accuracy Label Gd622:xs9900112270: 0.0
  • Accuracy Label Gd622:xs9900112271: 0.0
  • Accuracy Label Gd622:xs9900112272: 0.0
  • Accuracy Label Gd622:xs9900112273: 0.0
  • Accuracy Label Gd622:xs9900112274: 0.0
  • Accuracy Label Gd622:xs9900112275: 0.0
  • Accuracy Label Gd622:xs9900112276: 0.0
  • Accuracy Label Gd622:xs9900112277: 0.0
  • Accuracy Label Gd622:xs9900112278: 0.0
  • Accuracy Label Gd622:xs9900112279: 0.0
  • Accuracy Label Gd622:xs9900112280: 0.0
  • Accuracy Label Gd622:xs9900112281: 0.0
  • Accuracy Label Gd622:xs9900112282: 0.0
  • Accuracy Label Gd622:xs9900112283: 0.0
  • Accuracy Label Gd622:xs9900112284: 0.0
  • Accuracy Label Gd622:xs9900112285: 0.0
  • Accuracy Label Gd622:xs9900112286: 0.0
  • Accuracy Label Gd622:xs9900112287: 0.0
  • Accuracy Label Gd622:xs9900112288: 0.0
  • Accuracy Label Gd622:xs9900112289: 0.0
  • Accuracy Label Gd622:xs9900112290: 0.0
  • Accuracy Label Gd622:xs9900112291: 0.0
  • Accuracy Label Gd622:xs9900112292: 0.0
  • Accuracy Label Gd622:xs9900112293: 0.0
  • Accuracy Label Gd622:xs9900112294: 0.0
  • Accuracy Label Gd622:xs9900112295: 0.0
  • Accuracy Label Gd622:xs9900112296: 0.0
  • Accuracy Label Gd622:xs9900112297: 0.0
  • Accuracy Label Gd622:xs9900112298: 0.0
  • Accuracy Label Gd622:xs9900112299: 0.0
  • Accuracy Label Gd622:xs9900112300: 0.0
  • Accuracy Label Gd622:xs9900112301: 0.0
  • Accuracy Label Gd622:xs9900112302: 0.0
  • Accuracy Label Gd622:xs9900112303: 0.0
  • Accuracy Label Gd622:xs9900112304: 0.0
  • Accuracy Label Gd622:xs9900112305: 0.0
  • Accuracy Label Gd622:xs9900112306: 0.0
  • Accuracy Label Gd622:xs9900112307: 0.0
  • Accuracy Label Gd622:xs9900112308: 0.0
  • Accuracy Label Gd622:xs9900112309: 0.0
  • Accuracy Label Gd622:xs9900112310: 0.0
  • Accuracy Label Gd622:xs9900112311: 0.0
  • Accuracy Label Gd622:null: 0.75

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 720
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall Accuracy Label Gd622: null Accuracy Label Gd622:xs0011223344 Accuracy Label Gd622:xs0011223345 Accuracy Label Gd622:xs0011223346 Accuracy Label Gd622:xs0011223347 Accuracy Label Gd622:xs0011223348 Accuracy Label Gd622:xs0011223349 Accuracy Label Gd622:xs0011223351 Accuracy Label Gd622:xs0011223352 Accuracy Label Gd622:xs0987654321 Accuracy Label Gd622:xs1122334455 Accuracy Label Gd622:xs1122334456 Accuracy Label Gd622:xs1122334457 Accuracy Label Gd622:xs1122334458 Accuracy Label Gd622:xs1122334459 Accuracy Label Gd622:xs1122334460 Accuracy Label Gd622:xs1122334461 Accuracy Label Gd622:xs1122334462 Accuracy Label Gd622:xs1122334463 Accuracy Label Gd622:xs1122334464 Accuracy Label Gd622:xs1234567890 Accuracy Label Gd622:xs1812345678 Accuracy Label Gd622:xs1829674215 Accuracy Label Gd622:xs1839456723 Accuracy Label Gd622:xs1853649601 Accuracy Label Gd622:xs1853649602 Accuracy Label Gd622:xs1853649603 Accuracy Label Gd622:xs1853649604 Accuracy Label Gd622:xs1853649605 Accuracy Label Gd622:xs1853649606 Accuracy Label Gd622:xs1853649607 Accuracy Label Gd622:xs1853649608 Accuracy Label Gd622:xs1853649609 Accuracy Label Gd622:xs1853649610 Accuracy Label Gd622:xs1853649611 Accuracy Label Gd622:xs1853649612 Accuracy Label Gd622:xs1853649613 Accuracy Label Gd622:xs1853649614 Accuracy Label Gd622:xs1853649615 Accuracy Label Gd622:xs1853649616 Accuracy Label Gd622:xs1853649617 Accuracy Label Gd622:xs1853649618 Accuracy Label Gd622:xs1853649619 Accuracy Label Gd622:xs1853649620 Accuracy Label Gd622:xs1853649621 Accuracy Label Gd622:xs1853649622 Accuracy Label Gd622:xs1853649623 Accuracy Label Gd622:xs1853649624 Accuracy Label Gd622:xs1853649625 Accuracy Label Gd622:xs1853649626 Accuracy Label Gd622:xs1853649627 Accuracy Label Gd622:xs1853649628 Accuracy Label Gd622:xs1853649629 Accuracy Label Gd622:xs1853649630 Accuracy Label Gd622:xs1853649631 Accuracy Label Gd622:xs1853649632 Accuracy Label Gd622:xs1853649633 Accuracy Label Gd622:xs1853649634 Accuracy Label Gd622:xs1853649635 Accuracy Label Gd622:xs1853649636 Accuracy Label Gd622:xs1853649637 Accuracy Label Gd622:xs1853649638 Accuracy Label Gd622:xs1853649639 Accuracy Label Gd622:xs1853649640 Accuracy Label Gd622:xs1853649641 Accuracy Label Gd622:xs1853649642 Accuracy Label Gd622:xs1853649643 Accuracy Label Gd622:xs1853649644 Accuracy Label Gd622:xs1853649645 Accuracy Label Gd622:xs1853649646 Accuracy Label Gd622:xs1853649647 Accuracy Label Gd622:xs1853649648 Accuracy Label Gd622:xs1853649649 Accuracy Label Gd622:xs1853649650 Accuracy Label Gd622:xs1853649651 Accuracy Label Gd622:xs1853649652 Accuracy Label Gd622:xs1853649653 Accuracy Label Gd622:xs1853649654 Accuracy Label Gd622:xs1853649655 Accuracy Label Gd622:xs1853649656 Accuracy Label Gd622:xs1853649657 Accuracy Label Gd622:xs1853649658 Accuracy Label Gd622:xs1853649659 Accuracy Label Gd622:xs1853649660 Accuracy Label Gd622:xs1853649661 Accuracy Label Gd622:xs1853649662 Accuracy Label Gd622:xs1853649663 Accuracy Label Gd622:xs1853649664 Accuracy Label Gd622:xs1853649665 Accuracy Label Gd622:xs1853649666 Accuracy Label Gd622:xs1853649667 Accuracy Label Gd622:xs1853649668 Accuracy Label Gd622:xs1853649669 Accuracy Label Gd622:xs1853649670 Accuracy Label Gd622:xs1853649675 Accuracy Label Gd622:xs1853649680 Accuracy Label Gd622:xs1853649684 Accuracy Label Gd622:xs1853649685 Accuracy Label Gd622:xs1853649689 Accuracy Label Gd622:xs1853649694 Accuracy Label Gd622:xs1853649697 Accuracy Label Gd622:xs1853649699 Accuracy Label Gd622:xs1853649702 Accuracy Label Gd622:xs1853649703 Accuracy Label Gd622:xs1853649704 Accuracy Label Gd622:xs1853649705 Accuracy Label Gd622:xs1853649706 Accuracy Label Gd622:xs1853649707 Accuracy Label Gd622:xs1853649708 Accuracy Label Gd622:xs1853649709 Accuracy Label Gd622:xs1853649710 Accuracy Label Gd622:xs1853649712 Accuracy Label Gd622:xs1853649714 Accuracy Label Gd622:xs1853649715 Accuracy Label Gd622:xs1853649716 Accuracy Label Gd622:xs1853649717 Accuracy Label Gd622:xs1853649718 Accuracy Label Gd622:xs1853649720 Accuracy Label Gd622:xs1853649722 Accuracy Label Gd622:xs1853649727 Accuracy Label Gd622:xs1853649728 Accuracy Label Gd622:xs1853649729 Accuracy Label Gd622:xs1853649731 Accuracy Label Gd622:xs1853649732 Accuracy Label Gd622:xs1853649733 Accuracy Label Gd622:xs1853649734 Accuracy Label Gd622:xs1853649735 Accuracy Label Gd622:xs1853649736 Accuracy Label Gd622:xs1853649738 Accuracy Label Gd622:xs1853649739 Accuracy Label Gd622:xs1853649740 Accuracy Label Gd622:xs1853649741 Accuracy Label Gd622:xs1853649742 Accuracy Label Gd622:xs1853649743 Accuracy Label Gd622:xs1853649744 Accuracy Label Gd622:xs1853649745 Accuracy Label Gd622:xs1853649746 Accuracy Label Gd622:xs1853649747 Accuracy Label Gd622:xs1853649748 Accuracy Label Gd622:xs1853649749 Accuracy Label Gd622:xs1853649750 Accuracy Label Gd622:xs1853649751 Accuracy Label Gd622:xs1853649752 Accuracy Label 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Gd622:xs9900112265 Accuracy Label Gd622:xs9900112266 Accuracy Label Gd622:xs9900112267 Accuracy Label Gd622:xs9900112268 Accuracy Label Gd622:xs9900112269 Accuracy Label Gd622:xs9900112270 Accuracy Label Gd622:xs9900112271 Accuracy Label Gd622:xs9900112272 Accuracy Label Gd622:xs9900112273 Accuracy Label Gd622:xs9900112274 Accuracy Label Gd622:xs9900112275 Accuracy Label Gd622:xs9900112276 Accuracy Label Gd622:xs9900112277 Accuracy Label Gd622:xs9900112278 Accuracy Label Gd622:xs9900112279 Accuracy Label Gd622:xs9900112280 Accuracy Label Gd622:xs9900112281 Accuracy Label Gd622:xs9900112282 Accuracy Label Gd622:xs9900112283 Accuracy Label Gd622:xs9900112284 Accuracy Label Gd622:xs9900112285 Accuracy Label Gd622:xs9900112286 Accuracy Label Gd622:xs9900112287 Accuracy Label Gd622:xs9900112288 Accuracy Label Gd622:xs9900112289 Accuracy Label Gd622:xs9900112290 Accuracy Label Gd622:xs9900112291 Accuracy Label Gd622:xs9900112292 Accuracy Label Gd622:xs9900112293 Accuracy Label Gd622:xs9900112294 Accuracy Label Gd622:xs9900112295 Accuracy Label Gd622:xs9900112296 Accuracy Label Gd622:xs9900112297 Accuracy Label Gd622:xs9900112298 Accuracy Label Gd622:xs9900112299 Accuracy Label Gd622:xs9900112300 Accuracy Label Gd622:xs9900112301 Accuracy Label Gd622:xs9900112302 Accuracy Label Gd622:xs9900112303 Accuracy Label Gd622:xs9900112304 Accuracy Label Gd622:xs9900112305 Accuracy Label Gd622:xs9900112306 Accuracy Label Gd622:xs9900112307 Accuracy Label Gd622:xs9900112308 Accuracy Label Gd622:xs9900112309 Accuracy Label Gd622:xs9900112310 Accuracy Label Gd622:xs9900112311 Accuracy Label Gd622:null
6.1274 2.4691 100 5.8765 0.2887 0.1304 0.0842 0.2887 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
5.1336 4.9383 200 4.8266 0.2887 0.1304 0.0842 0.2887 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4.271 7.4074 300 4.4564 0.2887 0.1370 0.0898 0.2887 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
4.3457 9.8765 400 4.2671 0.3299 0.2074 0.1550 0.3299 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.75

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.4.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1