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---
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 |