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--- |
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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: |
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- wer |
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model-index: |
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- name: DeCRED_linear_mixing_tuning |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# DeCRED_linear_mixing_tuning |
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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: 1.0601 |
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- Cer: 0.0632 |
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- Wer: 0.1472 |
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- Mer: 0.1445 |
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- 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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.01 |
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- train_batch_size: 256 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50.0 |
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### Training results |
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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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- Transformers 4.40.0.dev0 |
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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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### Wandb run |
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https://wandb.ai/butspeechfit/decred_commonvoice_en/runs/DeCRED_linear_mixing_tuning |
