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cantillation
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Teamim-tiny_WeightDecay-0.05_Augmented_Combined-Data_date-10-07-2024_14-33

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hebrew
whisper
hf-asr-leaderboard
Generated from Trainer
Inference Endpoints
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he-cantillation

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2681
  • Wer: 16.4952
  • Avg Precision Exact: 0.8439
  • Avg Recall Exact: 0.8446
  • Avg F1 Exact: 0.8437
  • Avg Precision Letter Shift: 0.8665
  • Avg Recall Letter Shift: 0.8674
  • Avg F1 Letter Shift: 0.8664
  • Avg Precision Word Level: 0.8711
  • Avg Recall Word Level: 0.8725
  • Avg F1 Word Level: 0.8713
  • Avg Precision Word Shift: 0.9505
  • Avg Recall Word Shift: 0.9538
  • Avg F1 Word Shift: 0.9515
  • Precision Median Exact: 0.9231
  • Recall Median Exact: 0.9231
  • F1 Median Exact: 0.9286
  • Precision Max Exact: 1.0
  • Recall Max Exact: 1.0
  • F1 Max Exact: 1.0
  • Precision Min Exact: 0.0
  • Recall Min Exact: 0.0
  • F1 Min Exact: 0.0
  • Precision Min Letter Shift: 0.0
  • Recall Min Letter Shift: 0.0
  • F1 Min Letter Shift: 0.0
  • Precision Min Word Level: 0.0
  • Recall Min Word Level: 0.0
  • F1 Min Word Level: 0.0
  • Precision Min Word Shift: 0.1429
  • Recall Min Word Shift: 0.125
  • F1 Min Word Shift: 0.1333

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 500000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Avg Precision Exact Avg Recall Exact Avg F1 Exact Avg Precision Letter Shift Avg Recall Letter Shift Avg F1 Letter Shift Avg Precision Word Level Avg Recall Word Level Avg F1 Word Level Avg Precision Word Shift Avg Recall Word Shift Avg F1 Word Shift Precision Median Exact Recall Median Exact F1 Median Exact Precision Max Exact Recall Max Exact F1 Max Exact Precision Min Exact Recall Min Exact F1 Min Exact Precision Min Letter Shift Recall Min Letter Shift F1 Min Letter Shift Precision Min Word Level Recall Min Word Level F1 Min Word Level Precision Min Word Shift Recall Min Word Shift F1 Min Word Shift
No log 0.0001 1 7.6124 162.6042 0.0008 0.0010 0.0006 0.0056 0.0037 0.0039 0.0052 0.0137 0.0054 0.0457 0.0410 0.0382 0.0 0.0 0.0 0.1429 0.5 0.1667 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.1423 0.5167 10000 0.2069 31.4547 0.6926 0.6967 0.6938 0.7262 0.7306 0.7275 0.7344 0.7389 0.7357 0.8749 0.8835 0.8779 0.7857 0.8 0.7879 1.0 1.0 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
0.0563 1.0334 20000 0.1762 24.7742 0.7620 0.7678 0.7642 0.7918 0.7980 0.7942 0.7980 0.8041 0.8003 0.9138 0.9218 0.9169 0.8667 0.875 0.8696 1.0 1.0 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
0.0349 1.5501 30000 0.1775 23.2071 0.7764 0.7797 0.7774 0.8058 0.8095 0.8069 0.8123 0.8163 0.8136 0.9192 0.9257 0.9215 0.875 0.8824 0.8800 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0769 0.1 0.0870
0.0197 2.0668 40000 0.1815 21.6369 0.7865 0.7919 0.7886 0.8125 0.8185 0.8148 0.8185 0.8244 0.8208 0.9226 0.9301 0.9255 0.9 0.9 0.8966 1.0 1.0 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
0.0127 2.5834 50000 0.1851 21.2876 0.8007 0.7992 0.7993 0.8265 0.8250 0.8251 0.8320 0.8310 0.8309 0.9294 0.9301 0.9290 0.9091 0.9 0.9 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0909 0.0833 0.0870
0.028 3.1001 60000 0.1917 21.2719 0.7984 0.7993 0.7983 0.8243 0.8255 0.8243 0.8295 0.8315 0.8299 0.9263 0.9306 0.9276 0.9 0.9 0.9 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0186 3.6168 70000 0.1984 20.3688 0.8036 0.8073 0.8049 0.8294 0.8333 0.8307 0.8349 0.8388 0.8362 0.9316 0.9382 0.9341 0.9091 0.9091 0.9091 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333
0.0056 4.1335 80000 0.2073 20.3751 0.8012 0.8009 0.8005 0.8268 0.8266 0.8261 0.8325 0.8324 0.8319 0.9334 0.9358 0.9338 0.9091 0.9091 0.9091 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0909 0.1 0.1053
0.0071 4.6502 90000 0.2081 19.6419 0.8040 0.8091 0.8060 0.8293 0.8347 0.8314 0.8351 0.8405 0.8372 0.9324 0.9396 0.9352 0.9091 0.9091 0.9091 1.0 1.0 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
0.0036 5.1669 100000 0.2132 19.3650 0.8079 0.8117 0.8092 0.8322 0.8364 0.8337 0.8373 0.8418 0.8389 0.9366 0.9426 0.9389 0.9091 0.9167 0.9091 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.1111 0.125
0.0063 5.6836 110000 0.2126 18.7954 0.8193 0.8210 0.8196 0.8443 0.8463 0.8447 0.8498 0.8517 0.8502 0.9414 0.9453 0.9427 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0019 6.2003 120000 0.2191 18.6633 0.8195 0.8200 0.8192 0.8435 0.8441 0.8432 0.8490 0.8496 0.8488 0.9403 0.9429 0.9409 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333
0.0034 6.7170 130000 0.2204 18.7860 0.8138 0.8145 0.8136 0.8375 0.8384 0.8374 0.8426 0.8436 0.8425 0.9370 0.9403 0.9380 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0909 0.0909 0.0909
0.005 7.2336 140000 0.2224 18.5877 0.8185 0.8247 0.8211 0.8419 0.8483 0.8445 0.8470 0.8532 0.8495 0.9384 0.9462 0.9416 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0909 0.0952
0.0028 7.7503 150000 0.2273 19.2863 0.8180 0.8169 0.8169 0.8424 0.8415 0.8414 0.8480 0.8472 0.8471 0.9376 0.9389 0.9376 0.9167 0.9167 0.9167 1.0 1.0 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
0.0013 8.2670 160000 0.2303 18.4776 0.8220 0.8252 0.8230 0.8456 0.8491 0.8468 0.8512 0.8552 0.8526 0.9418 0.9474 0.9439 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.004 8.7837 170000 0.2310 18.8238 0.8133 0.8142 0.8132 0.8378 0.8389 0.8378 0.8435 0.8446 0.8435 0.9389 0.9423 0.9399 0.9167 0.9167 0.9167 1.0 1.0 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
0.0017 9.3004 180000 0.2357 18.0371 0.8232 0.8248 0.8234 0.8478 0.8497 0.8482 0.8528 0.8551 0.8534 0.9464 0.9507 0.9479 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0039 9.8171 190000 0.2381 18.0717 0.8201 0.8216 0.8204 0.8438 0.8454 0.8441 0.8493 0.8510 0.8496 0.9435 0.9470 0.9445 0.9167 0.9167 0.9167 1.0 1.0 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
0.0034 10.3338 200000 0.2393 18.2668 0.8230 0.8253 0.8236 0.8469 0.8494 0.8476 0.8518 0.8546 0.8527 0.9406 0.9453 0.9423 0.9167 0.9167 0.9167 1.0 1.0 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
0.0012 10.8505 210000 0.2407 18.2857 0.8232 0.8268 0.8245 0.8485 0.8523 0.8498 0.8536 0.8574 0.8549 0.9392 0.9454 0.9415 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0714 0.0833 0.0870
0.0003 11.3672 220000 0.2431 18.1409 0.8230 0.8240 0.8230 0.8464 0.8478 0.8465 0.8511 0.8529 0.8515 0.9408 0.9448 0.9421 0.9167 0.9167 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1333 0.1 0.1176
0.0019 11.8838 230000 0.2458 18.2227 0.8211 0.8241 0.8221 0.8452 0.8483 0.8462 0.8506 0.8538 0.8517 0.9427 0.9482 0.9447 0.9167 0.9167 0.9167 1.0 1.0 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
0.0008 12.4005 240000 0.2445 18.0591 0.8262 0.8278 0.8265 0.8498 0.8514 0.8500 0.8549 0.8566 0.8552 0.9435 0.9470 0.9446 0.9167 0.9167 0.9231 1.0 1.0 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
0.0004 12.9172 250000 0.2486 17.9647 0.8285 0.8306 0.8290 0.8518 0.8541 0.8524 0.8565 0.8588 0.8571 0.9432 0.9472 0.9445 0.9167 0.9167 0.9167 1.0 1.0 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
0.0011 13.4339 260000 0.2550 17.8577 0.8237 0.8232 0.8229 0.8471 0.8467 0.8463 0.8518 0.8519 0.8513 0.9452 0.9481 0.9460 0.9167 0.9167 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0004 13.9506 270000 0.2535 17.9710 0.8245 0.8263 0.8248 0.8485 0.8506 0.8489 0.8537 0.8560 0.8543 0.9438 0.9485 0.9455 0.9167 0.9167 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.1111 0.125
0.0008 14.4673 280000 0.2510 17.7570 0.8331 0.8334 0.8327 0.8569 0.8572 0.8565 0.8626 0.8632 0.8624 0.9458 0.9480 0.9462 0.9167 0.9167 0.9231 1.0 1.0 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
0.0004 14.9840 290000 0.2518 17.9081 0.8274 0.8268 0.8265 0.8509 0.8504 0.8501 0.8557 0.8554 0.8550 0.9443 0.9459 0.9444 0.9167 0.9167 0.9167 1.0 1.0 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
0.0001 15.5007 300000 0.2551 17.7885 0.8296 0.8303 0.8294 0.8531 0.8538 0.8529 0.8583 0.8592 0.8582 0.9433 0.9464 0.9441 0.9167 0.9167 0.9167 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.1111 0.125
0.0005 16.0174 310000 0.2559 17.4581 0.8316 0.8329 0.8317 0.8544 0.8558 0.8545 0.8600 0.8614 0.8601 0.9438 0.9479 0.9451 0.9231 0.9231 0.9231 1.0 1.0 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
0.0001 16.5340 320000 0.2566 17.1528 0.8355 0.8361 0.8353 0.8571 0.8579 0.8570 0.8617 0.8632 0.8619 0.9475 0.9510 0.9486 0.9231 0.9231 0.9286 1.0 1.0 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
0.0002 17.0507 330000 0.2613 17.3605 0.8336 0.8353 0.8339 0.8563 0.8583 0.8567 0.8612 0.8634 0.8618 0.9483 0.9517 0.9494 0.9231 0.9231 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.1111 0.125
0.0001 17.5674 340000 0.2607 17.1560 0.8381 0.8399 0.8385 0.8602 0.8623 0.8607 0.8652 0.8675 0.8658 0.9477 0.9518 0.9491 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0 18.0841 350000 0.2630 17.0962 0.8374 0.8390 0.8377 0.8608 0.8626 0.8612 0.8660 0.8681 0.8665 0.9472 0.9515 0.9487 0.9231 0.9231 0.9231 1.0 1.0 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
0.0008 18.6008 360000 0.2622 17.3763 0.8335 0.8353 0.8339 0.8555 0.8577 0.8561 0.8603 0.8632 0.8612 0.9443 0.9492 0.9461 0.9231 0.9231 0.9231 1.0 1.0 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 19.1175 370000 0.2637 17.1245 0.8343 0.8365 0.8349 0.8574 0.8598 0.8581 0.8623 0.8652 0.8632 0.9469 0.9518 0.9487 0.9231 0.9231 0.9231 1.0 1.0 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 19.6342 380000 0.2651 17.2535 0.8347 0.8359 0.8348 0.8572 0.8585 0.8573 0.8621 0.8638 0.8624 0.9461 0.9504 0.9476 0.9231 0.9231 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0833 0.1 0.0909
0.0 20.1509 390000 0.2621 16.8130 0.8345 0.8358 0.8347 0.8569 0.8584 0.8572 0.8616 0.8632 0.8619 0.9495 0.9528 0.9506 0.9231 0.9231 0.9231 1.0 1.0 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
0.0001 20.6676 400000 0.2675 16.9420 0.8399 0.8397 0.8393 0.8622 0.8621 0.8616 0.8667 0.8673 0.8665 0.9490 0.9514 0.9495 0.9231 0.9231 0.9231 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0007 21.1843 410000 0.2629 16.6557 0.8436 0.8446 0.8435 0.8659 0.8671 0.8659 0.8705 0.8722 0.8708 0.9495 0.9534 0.9508 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1000
0.0 21.7009 420000 0.2677 16.7910 0.8367 0.8380 0.8368 0.8588 0.8604 0.8591 0.8635 0.8656 0.8641 0.9480 0.9522 0.9495 0.9231 0.9231 0.9231 1.0 1.0 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 22.2176 430000 0.2676 16.7626 0.8367 0.8387 0.8372 0.8595 0.8618 0.8601 0.8641 0.8667 0.8648 0.9474 0.9526 0.9493 0.9231 0.9231 0.9286 1.0 1.0 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 22.7343 440000 0.2664 16.8004 0.8392 0.8411 0.8397 0.8613 0.8634 0.8618 0.8659 0.8686 0.8667 0.9475 0.9518 0.9490 0.9231 0.9231 0.9286 1.0 1.0 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 23.2510 450000 0.2645 16.5455 0.8441 0.8445 0.8438 0.8665 0.8670 0.8662 0.8711 0.8721 0.8711 0.9504 0.9534 0.9513 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333
0.0 23.7677 460000 0.2675 16.5927 0.8414 0.8427 0.8416 0.8638 0.8652 0.8640 0.8682 0.8700 0.8686 0.9490 0.9526 0.9502 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333
0.0 24.2844 470000 0.2676 16.4857 0.8427 0.8438 0.8428 0.8648 0.8661 0.8650 0.8695 0.8711 0.8698 0.9497 0.9531 0.9508 0.9231 0.9231 0.9286 1.0 1.0 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 24.8011 480000 0.2673 16.5959 0.8431 0.8436 0.8428 0.8651 0.8658 0.8649 0.8697 0.8709 0.8698 0.9491 0.9523 0.9501 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.125 0.1176 0.1212
0.0 25.3178 490000 0.2677 16.5707 0.8434 0.8440 0.8432 0.8656 0.8664 0.8655 0.8701 0.8714 0.8703 0.9500 0.9532 0.9510 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333
0.0 25.8345 500000 0.2681 16.4952 0.8439 0.8446 0.8437 0.8665 0.8674 0.8664 0.8711 0.8725 0.8713 0.9505 0.9538 0.9515 0.9231 0.9231 0.9286 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1429 0.125 0.1333

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.2.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Model tree for cantillation/Teamim-tiny_WeightDecay-0.05_Augmented_Combined-Data_date-10-07-2024_14-33

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openai/whisper-tiny
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Evaluation results

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