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DeCRED_linear_mixing_tuning

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joint_aed_ctc_speech-encoder-decoder
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End of training

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  1. .gitattributes +1 -0
  2. README.md +26 -24
  3. model.safetensors +2 -2
  4. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44.csv +0 -0
  5. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn +0 -0
  6. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn.dtl +0 -0
  7. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn.snt.utt +3 -0
  8. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn.sys +18 -0
  9. predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_ref.trn +0 -0
  10. training_args.bin +1 -1
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  predictions_common_voice_13_en_common_voice_13_en_test_wer19.46_hyp.trn.snt.utt filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  predictions_common_voice_13_en_common_voice_13_en_test_wer19.46_hyp.trn.snt.utt filter=lfs diff=lfs merge=lfs -text
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+ predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn.snt.utt filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
 
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  tags:
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  - generated_from_trainer
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- base_model: Lakoc/DeCRED_small_cv_2
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  datasets:
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  - common_voice_13_0
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  metrics:
@@ -18,16 +18,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Lakoc/DeCRED_small_cv_2](https://huggingface.co/Lakoc/DeCRED_small_cv_2) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0590
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  - Cer: 0.0632
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- - Wer: 0.1471
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- - Mer: 0.1444
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  - Wil: 0.2408
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  - Wip: 0.7592
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- - Hits: 23158
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- - Substitutions: 2931
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- - Deletions: 484
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- - Insertions: 494
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  ## Model description
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@@ -46,7 +46,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.05
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  - train_batch_size: 256
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  - eval_batch_size: 64
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  - seed: 42
@@ -61,18 +61,23 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|
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- | 1.185 | 2.67 | 20 | 1.1215 | 0.0646 | 0.1520 | 0.1492 | 0.2479 | 0.7521 | 23030 | 3013 | 530 | 496 |
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- | 1.0639 | 5.33 | 40 | 1.0717 | 0.0634 | 0.1480 | 0.1453 | 0.2420 | 0.7580 | 23124 | 2939 | 510 | 483 |
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- | 1.0957 | 8.0 | 60 | 1.0612 | 0.0628 | 0.1464 | 0.1438 | 0.2402 | 0.7598 | 23162 | 2929 | 482 | 480 |
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- | 1.0936 | 10.67 | 80 | 1.0595 | 0.0631 | 0.1469 | 0.1442 | 0.2407 | 0.7593 | 23158 | 2934 | 481 | 488 |
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- | 1.0804 | 13.33 | 100 | 1.0591 | 0.0630 | 0.1468 | 0.1441 | 0.2405 | 0.7595 | 23164 | 2929 | 480 | 492 |
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- | 1.1044 | 16.0 | 120 | 1.0591 | 0.0631 | 0.1469 | 0.1442 | 0.2405 | 0.7595 | 23162 | 2929 | 482 | 492 |
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- | 1.0836 | 18.67 | 140 | 1.0589 | 0.0631 | 0.1468 | 0.1442 | 0.2405 | 0.7595 | 23163 | 2929 | 481 | 492 |
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- | 1.0924 | 21.33 | 160 | 1.0590 | 0.0632 | 0.1471 | 0.1444 | 0.2408 | 0.7592 | 23158 | 2931 | 484 | 494 |
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- | 1.1048 | 24.0 | 180 | 1.0590 | 0.0632 | 0.1471 | 0.1444 | 0.2408 | 0.7592 | 23158 | 2931 | 484 | 494 |
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- | 1.0858 | 26.67 | 200 | 1.0589 | 0.0631 | 0.1470 | 0.1443 | 0.2407 | 0.7593 | 23160 | 2929 | 484 | 494 |
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- | 1.0953 | 29.33 | 220 | 1.0589 | 0.0631 | 0.1468 | 0.1442 | 0.2405 | 0.7595 | 23163 | 2929 | 481 | 492 |
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- | 1.1308 | 32.0 | 240 | 1.0590 | 0.0632 | 0.1471 | 0.1444 | 0.2408 | 0.7592 | 23158 | 2931 | 484 | 494 |
 
 
 
 
 
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  ### Framework versions
@@ -81,6 +86,3 @@ The following hyperparameters were used during training:
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  - Pytorch 2.2.0+rocm5.6
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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-
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- ### Wandb run
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- https://wandb.ai/butspeechfit/decred_commonvoice_en/runs/DeCRED_linear_mixing_tuning
 
1
  ---
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+ base_model: Lakoc/DeCRED_small_cv_2
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  tags:
4
  - generated_from_trainer
 
5
  datasets:
6
  - common_voice_13_0
7
  metrics:
 
18
 
19
  This model is a fine-tuned version of [Lakoc/DeCRED_small_cv_2](https://huggingface.co/Lakoc/DeCRED_small_cv_2) on the common_voice_13_0 dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.0601
22
  - Cer: 0.0632
23
+ - Wer: 0.1472
24
+ - Mer: 0.1445
25
  - Wil: 0.2408
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  - Wip: 0.7592
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+ - Hits: 23157
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+ - Substitutions: 2930
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+ - Deletions: 486
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+ - Insertions: 495
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32
  ## Model description
33
 
 
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  ### Training hyperparameters
47
 
48
  The following hyperparameters were used during training:
49
+ - learning_rate: 0.01
50
  - train_batch_size: 256
51
  - eval_batch_size: 64
52
  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|
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+ | 3.4981 | 2.67 | 20 | 3.3391 | 3.8755 | 3.5546 | 0.9635 | 0.9950 | 0.0050 | 3582 | 22099 | 892 | 71466 |
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+ | 1.2736 | 5.33 | 40 | 1.2175 | 0.0756 | 0.1717 | 0.1678 | 0.2775 | 0.7225 | 22623 | 3423 | 527 | 612 |
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+ | 1.1073 | 8.0 | 60 | 1.0687 | 0.0647 | 0.1511 | 0.1483 | 0.2464 | 0.7536 | 23059 | 2993 | 521 | 501 |
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+ | 1.0963 | 10.67 | 80 | 1.0656 | 0.0638 | 0.1492 | 0.1464 | 0.2436 | 0.7564 | 23122 | 2963 | 488 | 514 |
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+ | 1.0811 | 13.33 | 100 | 1.0630 | 0.0636 | 0.1478 | 0.1451 | 0.2416 | 0.7584 | 23152 | 2937 | 484 | 507 |
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+ | 1.1036 | 16.0 | 120 | 1.0617 | 0.0634 | 0.1476 | 0.1448 | 0.2410 | 0.7590 | 23160 | 2925 | 488 | 509 |
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+ | 1.0831 | 18.67 | 140 | 1.0610 | 0.0632 | 0.1474 | 0.1447 | 0.2410 | 0.7590 | 23157 | 2931 | 485 | 501 |
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+ | 1.0914 | 21.33 | 160 | 1.0607 | 0.0634 | 0.1478 | 0.1451 | 0.2418 | 0.7582 | 23142 | 2941 | 490 | 497 |
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+ | 1.1033 | 24.0 | 180 | 1.0605 | 0.0631 | 0.1470 | 0.1443 | 0.2405 | 0.7595 | 23162 | 2925 | 486 | 496 |
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+ | 1.0849 | 26.67 | 200 | 1.0603 | 0.0632 | 0.1472 | 0.1445 | 0.2407 | 0.7593 | 23159 | 2926 | 488 | 498 |
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+ | 1.0937 | 29.33 | 220 | 1.0603 | 0.0632 | 0.1473 | 0.1445 | 0.2407 | 0.7593 | 23160 | 2925 | 488 | 500 |
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+ | 1.1295 | 32.0 | 240 | 1.0601 | 0.0632 | 0.1471 | 0.1444 | 0.2406 | 0.7594 | 23162 | 2926 | 485 | 499 |
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+ | 1.0741 | 34.67 | 260 | 1.0602 | 0.0631 | 0.1471 | 0.1444 | 0.2405 | 0.7595 | 23161 | 2924 | 488 | 496 |
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+ | 1.073 | 37.33 | 280 | 1.0601 | 0.0631 | 0.1471 | 0.1444 | 0.2407 | 0.7593 | 23159 | 2927 | 487 | 496 |
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+ | 1.0846 | 40.0 | 300 | 1.0601 | 0.0631 | 0.1471 | 0.1445 | 0.2408 | 0.7592 | 23158 | 2929 | 486 | 495 |
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+ | 1.0717 | 42.67 | 320 | 1.0601 | 0.0632 | 0.1472 | 0.1445 | 0.2408 | 0.7592 | 23158 | 2929 | 486 | 497 |
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+ | 1.1017 | 45.33 | 340 | 1.0601 | 0.0632 | 0.1472 | 0.1445 | 0.2408 | 0.7592 | 23157 | 2930 | 486 | 495 |
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  ### Framework versions
 
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  - Pytorch 2.2.0+rocm5.6
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
 
 
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+
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+ SYSTEM SUMMARY PERCENTAGES by SPEAKER
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+
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+ ,-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------.
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+ |/scratch/project_465000836/ipoloka/huggingface_asr/experiments/decred/commonvoice/DeCRED_linear_mixing_tuning/predictions_common_voice_13_en_common_voice_13_en_test_wer19.44_hyp.trn|
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+ |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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+ | SPKR | # Snt # Wrd | Corr Sub Del Ins Err S.Err |
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+ |--------------------+-------------------------------------------+--------------------------------------------------------------------------------------------------------------------|
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+ | utt | 16365 144023 | 83.3 14.2 2.5 2.7 19.4 63.1 |
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+ |=====================================================================================================================================================================================|
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+ | Sum/Avg | 16365 144023 | 83.3 14.2 2.5 2.7 19.4 63.1 |
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+ |=====================================================================================================================================================================================|
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+ | Mean | 16365.0 144023.0 | 83.3 14.2 2.5 2.7 19.4 63.1 |
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+ | S.D. | 0.0 0.0 | 0.0 0.0 0.0 0.0 0.0 0.0 |
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+ | Median | 16365.0 144023.0 | 83.3 14.2 2.5 2.7 19.4 63.1 |
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+ `-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------'
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