---
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: ED_small_cv_en_continue2
  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. -->

# ED_small_cv_en_continue2

This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1534
- Cer: 0.0838
- Wer: 0.1978
- Mer: 0.1928
- Wil: 0.3161
- Wip: 0.6839
- Hits: 122778
- Substitutions: 22066
- Deletions: 3337
- Insertions: 3914

## 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: 0.0005
- train_batch_size: 256
- eval_batch_size: 7
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 512
- total_eval_batch_size: 14
- 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  | Cer    | Deletions | Hits   | Insertions | Validation Loss | Mer    | Substitutions | Wer    | Wil    | Wip    |
|:-------------:|:-----:|:-----:|:------:|:---------:|:------:|:----------:|:---------------:|:------:|:-------------:|:------:|:------:|:------:|
| 1.3588        | 5.0   | 7445  | 0.1570 | 5345      | 104522 | 7446       | 1.5216          | 0.3284 | 38314         | 0.3449 | 0.5094 | 0.4906 |
| 1.285         | 6.0   | 8934  | 0.1497 | 6362      | 105386 | 5691       | 1.4842          | 0.3151 | 36433         | 0.3272 | 0.4919 | 0.5081 |
| 1.7562        | 7.0   | 10423 | 0.1487 | 6144      | 106299 | 5993       | 1.4710          | 0.3105 | 35738         | 0.3231 | 0.4849 | 0.5151 |
| 1.5766        | 8.0   | 11912 | 0.1343 | 5075      | 110239 | 5997       | 1.3866          | 0.2850 | 32867         | 0.2965 | 0.4500 | 0.5500 |
| 1.478         | 9.0   | 13401 | 0.1193 | 4513      | 113519 | 5389       | 1.3274          | 0.2608 | 30149         | 0.2703 | 0.4166 | 0.5834 |
| 1.4494        | 10.0  | 14890 | 0.1141 | 4925      | 114772 | 4845       | 1.2920          | 0.2500 | 28484         | 0.2582 | 0.3998 | 0.6002 |
| 1.4086        | 11.0  | 16379 | 0.1063 | 4113      | 116948 | 4863       | 1.2627          | 0.2359 | 27120         | 0.2436 | 0.3803 | 0.6197 |
| 1.375         | 12.0  | 17868 | 0.1017 | 3817      | 118153 | 4921       | 1.2363          | 0.2283 | 26211         | 0.2359 | 0.3689 | 0.6311 |
| 1.3304        | 13.0  | 19357 | 0.0977 | 3489      | 119548 | 4862       | 1.2181          | 0.2189 | 25144         | 0.2260 | 0.3551 | 0.6449 |
| 1.3215        | 14.0  | 20846 | 0.0928 | 3994      | 120102 | 3969       | 1.1973          | 0.2106 | 24085         | 0.2163 | 0.3430 | 0.6570 |
| 1.2824        | 15.0  | 22335 | 0.0894 | 3388      | 121469 | 4429       | 1.1777          | 0.2041 | 23324         | 0.2102 | 0.3327 | 0.6673 |
| 1.2535        | 16.0  | 23824 | 0.0857 | 3131      | 122436 | 4283       | 1.1625          | 0.1970 | 22614         | 0.2026 | 0.3226 | 0.6774 |
| 1.2096        | 17.0  | 25313 | 0.0817 | 3242      | 123261 | 3842       | 1.1429          | 0.1892 | 21678         | 0.1941 | 0.3109 | 0.6891 |
| 1.1749        | 18.0  | 26802 | 0.0795 | 3384      | 123650 | 3604       | 1.1330          | 0.1854 | 21147         | 0.1899 | 0.3047 | 0.6953 |
| 1.1528        | 19.0  | 28291 | 0.0770 | 3262      | 124432 | 3579       | 1.1220          | 0.1801 | 20487         | 0.1844 | 0.2964 | 0.7036 |
| 1.1373        | 20.0  | 29780 | 0.0762 | 3197      | 124623 | 3517       | 1.1168          | 0.1785 | 20361         | 0.1827 | 0.2942 | 0.7058 |
| 1.2751        | 21.0  | 31269 | 1.1934 | 0.0921    | 0.2159 | 0.2093     | 0.3408          | 0.6592 | 120871        | 24019  | 3291   | 4681   |
| 1.2585        | 22.0  | 32758 | 1.1727 | 0.0884    | 0.2087 | 0.2022     | 0.3297          | 0.6703 | 122013        | 23124  | 3044   | 4751   |
| 1.2612        | 23.0  | 34247 | 1.1634 | 0.0863    | 0.2043 | 0.1986     | 0.3247          | 0.6753 | 122169        | 22727  | 3285   | 4260   |
| 1.2389        | 24.0  | 35736 | 1.1574 | 0.0851    | 0.2020 | 0.1964     | 0.3215          | 0.6785 | 122473        | 22496  | 3212   | 4220   |
| 1.2422        | 25.0  | 37225 | 1.1534 | 0.0838    | 0.1978 | 0.1928     | 0.3161          | 0.6839 | 122778        | 22066  | 3337   | 3914   |


### 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/ED_small_cv_en_continue2