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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# he-cantillation
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/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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