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---
tags:
- generated_from_trainer
base_model: Lakoc/DeCRED_small_cv_2
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: DeCRED_linear_mixing_tuning
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. -->
# DeCRED_linear_mixing_tuning
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.
It achieves the following results on the evaluation set:
- Loss: 1.0601
- Cer: 0.0632
- Wer: 0.1472
- Mer: 0.1445
- Wil: 0.2408
- Wip: 0.7592
- Hits: 23157
- Substitutions: 2930
- Deletions: 486
- Insertions: 495
## 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: 0.01
- train_batch_size: 256
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|
| 3.4981 | 2.67 | 20 | 3.3391 | 3.8755 | 3.5546 | 0.9635 | 0.9950 | 0.0050 | 3582 | 22099 | 892 | 71466 |
| 1.2736 | 5.33 | 40 | 1.2175 | 0.0756 | 0.1717 | 0.1678 | 0.2775 | 0.7225 | 22623 | 3423 | 527 | 612 |
| 1.1073 | 8.0 | 60 | 1.0687 | 0.0647 | 0.1511 | 0.1483 | 0.2464 | 0.7536 | 23059 | 2993 | 521 | 501 |
| 1.0963 | 10.67 | 80 | 1.0656 | 0.0638 | 0.1492 | 0.1464 | 0.2436 | 0.7564 | 23122 | 2963 | 488 | 514 |
| 1.0811 | 13.33 | 100 | 1.0630 | 0.0636 | 0.1478 | 0.1451 | 0.2416 | 0.7584 | 23152 | 2937 | 484 | 507 |
| 1.1036 | 16.0 | 120 | 1.0617 | 0.0634 | 0.1476 | 0.1448 | 0.2410 | 0.7590 | 23160 | 2925 | 488 | 509 |
| 1.0831 | 18.67 | 140 | 1.0610 | 0.0632 | 0.1474 | 0.1447 | 0.2410 | 0.7590 | 23157 | 2931 | 485 | 501 |
| 1.0914 | 21.33 | 160 | 1.0607 | 0.0634 | 0.1478 | 0.1451 | 0.2418 | 0.7582 | 23142 | 2941 | 490 | 497 |
| 1.1033 | 24.0 | 180 | 1.0605 | 0.0631 | 0.1470 | 0.1443 | 0.2405 | 0.7595 | 23162 | 2925 | 486 | 496 |
| 1.0849 | 26.67 | 200 | 1.0603 | 0.0632 | 0.1472 | 0.1445 | 0.2407 | 0.7593 | 23159 | 2926 | 488 | 498 |
| 1.0937 | 29.33 | 220 | 1.0603 | 0.0632 | 0.1473 | 0.1445 | 0.2407 | 0.7593 | 23160 | 2925 | 488 | 500 |
| 1.1295 | 32.0 | 240 | 1.0601 | 0.0632 | 0.1471 | 0.1444 | 0.2406 | 0.7594 | 23162 | 2926 | 485 | 499 |
| 1.0741 | 34.67 | 260 | 1.0602 | 0.0631 | 0.1471 | 0.1444 | 0.2405 | 0.7595 | 23161 | 2924 | 488 | 496 |
| 1.073 | 37.33 | 280 | 1.0601 | 0.0631 | 0.1471 | 0.1444 | 0.2407 | 0.7593 | 23159 | 2927 | 487 | 496 |
| 1.0846 | 40.0 | 300 | 1.0601 | 0.0631 | 0.1471 | 0.1445 | 0.2408 | 0.7592 | 23158 | 2929 | 486 | 495 |
| 1.0717 | 42.67 | 320 | 1.0601 | 0.0632 | 0.1472 | 0.1445 | 0.2408 | 0.7592 | 23158 | 2929 | 486 | 497 |
| 1.1017 | 45.33 | 340 | 1.0601 | 0.0632 | 0.1472 | 0.1445 | 0.2408 | 0.7592 | 23157 | 2930 | 486 | 495 |
### Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.0+rocm5.6
- Datasets 2.18.0
- Tokenizers 0.15.2
### Wandb run
https://wandb.ai/butspeechfit/decred_commonvoice_en/runs/DeCRED_linear_mixing_tuning |