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DewiBrynJones
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wav2vec2-btb-cv-ft-btb-cy

Automatic Speech Recognition
TensorBoard
Safetensors
wav2vec2
./data-configs/btb.json
Generated from Trainer
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  1. README.md +52 -54
README.md CHANGED
@@ -2,8 +2,6 @@
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  license: apache-2.0
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  base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy
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  tags:
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- - automatic-speech-recognition
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- - ./data-configs/btb.json
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -19,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4345
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- - Wer: 0.3308
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  ## Model description
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@@ -53,56 +51,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:-----:|:---------------:|:------:|
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- | No log | 0.0285 | 200 | 1.2522 | 0.6292 |
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- | No log | 0.0570 | 400 | 0.6599 | 0.4544 |
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- | 2.2791 | 0.0854 | 600 | 0.6629 | 0.4395 |
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- | 2.2791 | 0.1139 | 800 | 0.7910 | 0.5453 |
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- | 0.8206 | 0.1424 | 1000 | 0.7758 | 0.5701 |
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- | 0.8206 | 0.1709 | 1200 | 0.8025 | 0.5783 |
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- | 0.8206 | 0.1994 | 1400 | 0.7715 | 0.5211 |
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- | 0.9068 | 0.2279 | 1600 | 0.7349 | 0.5128 |
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- | 0.9068 | 0.2563 | 1800 | 0.7258 | 0.5152 |
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- | 0.8679 | 0.2848 | 2000 | 0.7084 | 0.5216 |
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- | 0.8679 | 0.3133 | 2200 | 0.6904 | 0.5014 |
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- | 0.8679 | 0.3418 | 2400 | 0.6993 | 0.5178 |
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- | 0.8577 | 0.3703 | 2600 | 0.6746 | 0.4867 |
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- | 0.8577 | 0.3987 | 2800 | 0.6622 | 0.4963 |
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- | 0.7995 | 0.4272 | 3000 | 0.6793 | 0.4935 |
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- | 0.7995 | 0.4557 | 3200 | 0.6368 | 0.4701 |
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- | 0.7995 | 0.4842 | 3400 | 0.6363 | 0.4781 |
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- | 0.8141 | 0.5127 | 3600 | 0.6217 | 0.4656 |
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- | 0.8141 | 0.5412 | 3800 | 0.6418 | 0.4940 |
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- | 0.7953 | 0.5696 | 4000 | 0.6018 | 0.4542 |
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- | 0.7953 | 0.5981 | 4200 | 0.5962 | 0.4580 |
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- | 0.7953 | 0.6266 | 4400 | 0.5883 | 0.4459 |
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- | 0.7596 | 0.6551 | 4600 | 0.5788 | 0.4325 |
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- | 0.7596 | 0.6836 | 4800 | 0.5709 | 0.4412 |
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- | 0.7533 | 0.7120 | 5000 | 0.5595 | 0.4352 |
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- | 0.7533 | 0.7405 | 5200 | 0.5546 | 0.4232 |
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- | 0.7533 | 0.7690 | 5400 | 0.5545 | 0.4244 |
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- | 0.7591 | 0.7975 | 5600 | 0.5443 | 0.4076 |
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- | 0.7591 | 0.8260 | 5800 | 0.5341 | 0.4146 |
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- | 0.6621 | 0.8545 | 6000 | 0.5104 | 0.3955 |
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- | 0.6621 | 0.8829 | 6200 | 0.5139 | 0.4011 |
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- | 0.6621 | 0.9114 | 6400 | 0.5044 | 0.3804 |
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- | 0.6705 | 0.9399 | 6600 | 0.4999 | 0.3896 |
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- | 0.6705 | 0.9684 | 6800 | 0.5097 | 0.4053 |
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- | 0.6665 | 0.9969 | 7000 | 0.4925 | 0.3785 |
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- | 0.6665 | 1.0253 | 7200 | 0.4896 | 0.3689 |
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- | 0.6665 | 1.0538 | 7400 | 0.4749 | 0.3687 |
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- | 0.5826 | 1.0823 | 7600 | 0.4684 | 0.3628 |
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- | 0.5826 | 1.1108 | 7800 | 0.4729 | 0.3585 |
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- | 0.5836 | 1.1393 | 8000 | 0.4641 | 0.3553 |
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- | 0.5836 | 1.1678 | 8200 | 0.4575 | 0.3530 |
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- | 0.5836 | 1.1962 | 8400 | 0.4585 | 0.3486 |
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- | 0.5199 | 1.2247 | 8600 | 0.4549 | 0.3451 |
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- | 0.5199 | 1.2532 | 8800 | 0.4521 | 0.3408 |
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- | 0.5268 | 1.2817 | 9000 | 0.4425 | 0.3395 |
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- | 0.5268 | 1.3102 | 9200 | 0.4407 | 0.3362 |
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- | 0.5268 | 1.3386 | 9400 | 0.4383 | 0.3340 |
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- | 0.5013 | 1.3671 | 9600 | 0.4357 | 0.3325 |
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- | 0.5013 | 1.3956 | 9800 | 0.4350 | 0.3317 |
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- | 0.5095 | 1.4241 | 10000 | 0.4345 | 0.3308 |
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  ### Framework versions
 
2
  license: apache-2.0
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  base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy
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  tags:
 
 
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  - generated_from_trainer
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  metrics:
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  - wer
 
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  This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: inf
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+ - Wer: 0.3402
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:-----:|:---------------:|:------:|
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+ | No log | 0.0215 | 200 | inf | 0.5592 |
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+ | No log | 0.0429 | 400 | inf | 0.4289 |
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+ | 2.1964 | 0.0644 | 600 | inf | 0.4374 |
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+ | 2.1964 | 0.0858 | 800 | inf | 0.4944 |
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+ | 0.8327 | 0.1073 | 1000 | inf | 0.5150 |
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+ | 0.8327 | 0.1287 | 1200 | inf | 0.5634 |
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+ | 0.8327 | 0.1502 | 1400 | inf | 0.5355 |
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+ | 0.91 | 0.1716 | 1600 | inf | 0.5152 |
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+ | 0.91 | 0.1931 | 1800 | inf | 0.5595 |
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+ | 0.8721 | 0.2145 | 2000 | inf | 0.5057 |
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+ | 0.8721 | 0.2360 | 2200 | inf | 0.5041 |
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+ | 0.8721 | 0.2574 | 2400 | inf | 0.5146 |
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+ | 0.8218 | 0.2789 | 2600 | inf | 0.5018 |
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+ | 0.8218 | 0.3003 | 2800 | inf | 0.5091 |
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+ | 0.8469 | 0.3218 | 3000 | inf | 0.5037 |
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+ | 0.8469 | 0.3432 | 3200 | inf | 0.4703 |
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+ | 0.8469 | 0.3647 | 3400 | inf | 0.4795 |
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+ | 0.8142 | 0.3861 | 3600 | inf | 0.4714 |
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+ | 0.8142 | 0.4076 | 3800 | inf | 0.4554 |
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+ | 0.8085 | 0.4290 | 4000 | inf | 0.4506 |
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+ | 0.8085 | 0.4505 | 4200 | inf | 0.4458 |
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+ | 0.8085 | 0.4720 | 4400 | inf | 0.4367 |
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+ | 0.7802 | 0.4934 | 4600 | inf | 0.4401 |
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+ | 0.7802 | 0.5149 | 4800 | inf | 0.4334 |
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+ | 0.7493 | 0.5363 | 5000 | inf | 0.4224 |
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+ | 0.7493 | 0.5578 | 5200 | inf | 0.4328 |
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+ | 0.7493 | 0.5792 | 5400 | inf | 0.4176 |
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+ | 0.7668 | 0.6007 | 5600 | inf | 0.4183 |
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+ | 0.7668 | 0.6221 | 5800 | inf | 0.4030 |
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+ | 0.6999 | 0.6436 | 6000 | inf | 0.4125 |
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+ | 0.6999 | 0.6650 | 6200 | inf | 0.4076 |
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+ | 0.6999 | 0.6865 | 6400 | inf | 0.3917 |
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+ | 0.6918 | 0.7079 | 6600 | inf | 0.4004 |
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+ | 0.6918 | 0.7294 | 6800 | inf | 0.3865 |
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+ | 0.6888 | 0.7508 | 7000 | inf | 0.3785 |
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+ | 0.6888 | 0.7723 | 7200 | inf | 0.3824 |
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+ | 0.6888 | 0.7937 | 7400 | inf | 0.3743 |
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+ | 0.646 | 0.8152 | 7600 | inf | 0.3673 |
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+ | 0.646 | 0.8366 | 7800 | inf | 0.3667 |
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+ | 0.6324 | 0.8581 | 8000 | inf | 0.3662 |
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+ | 0.6324 | 0.8795 | 8200 | inf | 0.3601 |
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+ | 0.6324 | 0.9010 | 8400 | inf | 0.3535 |
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+ | 0.6221 | 0.9224 | 8600 | inf | 0.3526 |
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+ | 0.6221 | 0.9439 | 8800 | inf | 0.3487 |
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+ | 0.6215 | 0.9654 | 9000 | inf | 0.3481 |
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+ | 0.6215 | 0.9868 | 9200 | inf | 0.3447 |
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+ | 0.6215 | 1.0083 | 9400 | inf | 0.3410 |
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+ | 0.5603 | 1.0297 | 9600 | inf | 0.3405 |
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+ | 0.5603 | 1.0512 | 9800 | inf | 0.3412 |
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+ | 0.5284 | 1.0726 | 10000 | inf | 0.3402 |
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  ### Framework versions