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Teamim-tiny_WeightDecay-0.05_Combined-Data_date-17-07-2024_10-10

Automatic Speech Recognition
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Hebrew
whisper
hf-asr-leaderboard
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metadata
language:
  - he
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: he-cantillation
    results: []

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: 0.2642
  • Wer: 16.6210
  • Avg Precision Exact: 0.8369
  • Avg Recall Exact: 0.8382
  • Avg F1 Exact: 0.8371
  • Avg Precision Letter Shift: 0.8586
  • Avg Recall Letter Shift: 0.8599
  • Avg F1 Letter Shift: 0.8588
  • Avg Precision Word Level: 0.8633
  • Avg Recall Word Level: 0.8652
  • Avg F1 Word Level: 0.8637
  • Avg Precision Word Shift: 0.9480
  • Avg Recall Word Shift: 0.9510
  • Avg F1 Word Shift: 0.9488
  • 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 9.1305 104.1002 0.0008 0.0017 0.0007 0.0055 0.0068 0.0048 0.0027 0.0187 0.0046 0.0242 0.0322 0.0233 0.0 0.0 0.0 0.1429 1.0 0.1818 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.1404 0.5167 10000 0.2062 31.3792 0.7018 0.7031 0.7017 0.7345 0.7359 0.7344 0.7437 0.7448 0.7434 0.8802 0.8850 0.8815 0.8 0.8 0.8 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 0.125 0.1111
0.0565 1.0334 20000 0.1776 25.7434 0.7505 0.7534 0.7513 0.7792 0.7821 0.7799 0.7865 0.7900 0.7875 0.9069 0.9122 0.9086 0.8462 0.8462 0.8485 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 0.0909 0.0833
0.0343 1.5501 30000 0.1768 24.2487 0.7700 0.7691 0.7689 0.7984 0.7974 0.7972 0.8052 0.8043 0.8040 0.9143 0.9158 0.9142 0.875 0.875 0.875 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
0.0202 2.0668 40000 0.1824 22.5935 0.7783 0.7853 0.7812 0.8052 0.8126 0.8082 0.8107 0.8185 0.8139 0.9196 0.9301 0.9240 0.8889 0.9 0.8889 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
0.0136 2.5834 50000 0.1848 21.7408 0.7886 0.7912 0.7893 0.8142 0.8169 0.8150 0.8199 0.8229 0.8208 0.9234 0.9281 0.9249 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
0.0338 3.1001 60000 0.1936 21.6149 0.7881 0.7909 0.7889 0.8137 0.8166 0.8146 0.8188 0.8233 0.8203 0.9222 0.9295 0.9250 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
0.0148 3.6168 70000 0.1932 20.5198 0.8045 0.8086 0.8059 0.8295 0.8339 0.8311 0.8346 0.8394 0.8364 0.9261 0.9333 0.9289 0.9 0.9091 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
0.007 4.1335 80000 0.1995 20.3562 0.8039 0.8048 0.8038 0.8285 0.8296 0.8285 0.8340 0.8356 0.8342 0.9314 0.9354 0.9326 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 0.1111 0.125
0.0073 4.6502 90000 0.2057 20.7275 0.8005 0.8036 0.8015 0.8252 0.8284 0.8262 0.8304 0.8335 0.8314 0.9252 0.9312 0.9274 0.9091 0.9091 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 0.0 0.0 0.0
0.0033 5.1669 100000 0.2070 19.5727 0.8112 0.8105 0.8103 0.8356 0.8350 0.8347 0.8410 0.8407 0.8403 0.9364 0.9383 0.9366 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 0.1111 0.125
0.0058 5.6836 110000 0.2166 19.9157 0.8124 0.8128 0.8121 0.8371 0.8377 0.8368 0.8426 0.8434 0.8424 0.9334 0.9368 0.9344 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 0.1 0.1176
0.0022 6.2003 120000 0.2149 19.3398 0.8147 0.8156 0.8146 0.8385 0.8395 0.8384 0.8438 0.8450 0.8438 0.9363 0.9395 0.9371 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
0.0032 6.7170 130000 0.2221 19.3744 0.8092 0.8134 0.8107 0.8333 0.8378 0.8350 0.8392 0.8439 0.8409 0.9326 0.9391 0.9351 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 0.0909 0.0667 0.0769
0.0033 7.2336 140000 0.2266 19.7017 0.8094 0.8137 0.8109 0.8344 0.8390 0.8361 0.8397 0.8447 0.8416 0.9317 0.9391 0.9347 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 0.0 0.0 0.0
0.0028 7.7503 150000 0.2305 19.2454 0.8130 0.8163 0.8141 0.8365 0.8400 0.8377 0.8414 0.8456 0.8430 0.9331 0.9380 0.9348 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 0.125 0.1333
0.0018 8.2670 160000 0.2335 19.0220 0.8196 0.8232 0.8209 0.8429 0.8468 0.8443 0.8480 0.8524 0.8496 0.9366 0.9435 0.9393 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
0.005 8.7837 170000 0.2321 18.8961 0.8197 0.8217 0.8202 0.8432 0.8453 0.8437 0.8482 0.8508 0.8489 0.9372 0.9415 0.9387 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
0.0015 9.3004 180000 0.2320 18.7734 0.8198 0.8223 0.8205 0.8429 0.8456 0.8437 0.8477 0.8508 0.8487 0.9381 0.9431 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
0.0032 9.8171 190000 0.2357 18.4178 0.8207 0.8226 0.8211 0.8440 0.8460 0.8445 0.8485 0.8513 0.8493 0.9390 0.9434 0.9405 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
0.0025 10.3338 200000 0.2467 19.3430 0.8115 0.8124 0.8114 0.8346 0.8355 0.8345 0.8395 0.8409 0.8397 0.9325 0.9363 0.9337 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
0.0007 10.8505 210000 0.2415 18.6381 0.8175 0.8200 0.8182 0.8411 0.8437 0.8419 0.8455 0.8484 0.8464 0.9381 0.9430 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
0.0009 11.3672 220000 0.2405 18.0843 0.8247 0.8244 0.8241 0.8475 0.8474 0.8469 0.8522 0.8526 0.8519 0.9410 0.9437 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 0.1 0.1000
0.0027 11.8838 230000 0.2407 18.3517 0.8176 0.8208 0.8187 0.8405 0.8438 0.8416 0.8455 0.8491 0.8468 0.9377 0.9438 0.9401 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 12.4005 240000 0.2424 18.4808 0.8130 0.8141 0.8130 0.8361 0.8374 0.8362 0.8412 0.8428 0.8415 0.9373 0.9409 0.9384 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 0.0833 0.0870
0.0006 12.9172 250000 0.2495 18.2982 0.8213 0.8236 0.8219 0.8454 0.8480 0.8461 0.8501 0.8533 0.8512 0.9374 0.9428 0.9394 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
0.0015 13.4339 260000 0.2507 17.9647 0.8283 0.8315 0.8294 0.8508 0.8541 0.8519 0.8554 0.8589 0.8566 0.9401 0.9460 0.9424 0.9167 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
0.0005 13.9506 270000 0.2497 18.2668 0.8255 0.8255 0.8250 0.8481 0.8483 0.8477 0.8528 0.8534 0.8526 0.9387 0.9418 0.9396 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 0.0625 0.0714 0.0667
0.0003 14.4673 280000 0.2543 18.2038 0.8243 0.8289 0.8261 0.8466 0.8515 0.8485 0.8513 0.8567 0.8534 0.9359 0.9427 0.9386 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
0.0004 14.9840 290000 0.2506 17.8357 0.8278 0.8286 0.8277 0.8503 0.8513 0.8503 0.8552 0.8568 0.8555 0.9404 0.9445 0.9418 0.9167 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 0.0909 0.0909 0.0909
0.0005 15.5007 300000 0.2551 17.8923 0.8219 0.8259 0.8234 0.8449 0.8492 0.8465 0.8495 0.8541 0.8513 0.9391 0.9453 0.9415 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 0.125 0.1333
0.0003 16.0174 310000 0.2566 17.6469 0.8287 0.8285 0.8281 0.8517 0.8516 0.8512 0.8567 0.8568 0.8562 0.9431 0.9454 0.9437 0.9231 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 0.0769 0.1 0.0870
0.0005 16.5340 320000 0.2564 17.8168 0.8242 0.8279 0.8255 0.8478 0.8516 0.8492 0.8525 0.8564 0.8539 0.9428 0.9477 0.9446 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 0.1 0.1176
0.0003 17.0507 330000 0.2518 17.5682 0.8289 0.8328 0.8304 0.8521 0.8562 0.8536 0.8565 0.8608 0.8581 0.9439 0.9501 0.9464 0.9167 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 0.125 0.1333
0.0002 17.5674 340000 0.2561 17.6311 0.8281 0.8300 0.8286 0.8508 0.8528 0.8513 0.8555 0.8577 0.8561 0.9434 0.9469 0.9445 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 0.125 0.1333
0.0002 18.0841 350000 0.2566 17.5399 0.8275 0.8301 0.8283 0.8505 0.8532 0.8513 0.8552 0.8582 0.8562 0.9433 0.9487 0.9453 0.9167 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
0.0007 18.6008 360000 0.2592 17.6437 0.8299 0.8336 0.8312 0.8530 0.8568 0.8544 0.8574 0.8616 0.8590 0.9432 0.9487 0.9453 0.9167 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 0.125 0.1333
0.0003 19.1175 370000 0.2609 17.4958 0.8337 0.8362 0.8344 0.8570 0.8597 0.8578 0.8615 0.8646 0.8625 0.9450 0.9499 0.9468 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 0.2601 17.5053 0.8286 0.8305 0.8291 0.8513 0.8534 0.8519 0.8558 0.8582 0.8565 0.9446 0.9486 0.9460 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 0.125 0.1333
0.0 20.1509 390000 0.2595 16.9200 0.8378 0.8387 0.8378 0.8602 0.8610 0.8601 0.8648 0.8658 0.8648 0.9480 0.9499 0.9484 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
0.0 20.6676 400000 0.2615 17.1528 0.8337 0.8337 0.8332 0.8558 0.8558 0.8553 0.8603 0.8608 0.8601 0.9464 0.9490 0.9470 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
0.0 21.1843 410000 0.2617 17.0333 0.8351 0.8345 0.8344 0.8565 0.8559 0.8557 0.8608 0.8605 0.8601 0.9472 0.9484 0.9472 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 21.7009 420000 0.2644 17.0301 0.8360 0.8353 0.8352 0.8586 0.8578 0.8577 0.8635 0.8631 0.8628 0.9484 0.9498 0.9485 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 0.125 0.1333
0.0002 22.2176 430000 0.2624 17.1591 0.8329 0.8333 0.8326 0.8550 0.8555 0.8548 0.8599 0.8608 0.8598 0.9470 0.9494 0.9475 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 0.1 0.1176
0.0 22.7343 440000 0.2643 17.1402 0.8330 0.8347 0.8333 0.8549 0.8567 0.8553 0.8597 0.8618 0.8602 0.9455 0.9487 0.9464 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 0.125 0.1333
0.0 23.2510 450000 0.2634 16.8287 0.8358 0.8366 0.8357 0.8576 0.8584 0.8575 0.8622 0.8634 0.8623 0.9465 0.9492 0.9472 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 0.0714 0.0833
0.0 23.7677 460000 0.2643 16.8098 0.8331 0.8343 0.8332 0.8553 0.8567 0.8555 0.8600 0.8618 0.8604 0.9474 0.9507 0.9485 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 0.125 0.1333
0.0 24.2844 470000 0.2641 16.9294 0.8361 0.8372 0.8362 0.8581 0.8592 0.8581 0.8626 0.8643 0.8629 0.9471 0.9505 0.9482 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 24.8011 480000 0.2646 16.8004 0.8338 0.8348 0.8338 0.8553 0.8563 0.8553 0.8600 0.8617 0.8603 0.9465 0.9497 0.9475 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 25.3178 490000 0.2639 16.7154 0.8372 0.8387 0.8374 0.8589 0.8605 0.8592 0.8636 0.8658 0.8642 0.9475 0.9509 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 0.1429 0.125 0.1333
0.0 25.8345 500000 0.2642 16.6210 0.8369 0.8382 0.8371 0.8586 0.8599 0.8588 0.8633 0.8652 0.8637 0.9480 0.9510 0.9488 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