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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: outputs
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. -->
# outputs
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4804
- Wer: 0.3867
- Cer: 0.1484
## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.25
- num_epochs: 60.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 0.126 | 1.0 | 1080 | 0.4804 | 0.3867 | 0.1485 |
| 0.1441 | 2.0 | 2160 | 0.6097 | 0.4424 | 0.1950 |
| 0.1675 | 3.0 | 3240 | 0.5237 | 0.4448 | 0.1676 |
| 0.1919 | 4.0 | 4320 | 0.6256 | 0.4844 | 0.1884 |
| 0.2168 | 5.0 | 5400 | 0.6817 | 0.5131 | 0.1992 |
| 0.2411 | 6.0 | 6480 | 0.6816 | 0.5234 | 0.2041 |
| 0.2493 | 7.0 | 7560 | 0.8295 | 0.6788 | 0.2559 |
| 0.2718 | 8.0 | 8640 | 0.8849 | 0.6757 | 0.2669 |
| 0.2922 | 9.0 | 9720 | 1.0527 | 0.6722 | 0.3401 |
| 0.3156 | 10.0 | 10800 | 1.0661 | 0.7528 | 0.3576 |
| 0.3273 | 11.0 | 11880 | 1.0083 | 0.7841 | 0.2930 |
| 0.3216 | 12.0 | 12960 | 1.1305 | 0.7282 | 0.3154 |
| 0.3498 | 13.0 | 14040 | 1.0759 | 0.7312 | 0.3106 |
| 0.3553 | 14.0 | 15120 | 0.8732 | 0.6757 | 0.2803 |
| 0.3582 | 15.0 | 16200 | 1.0551 | 0.7623 | 0.3185 |
| 0.3607 | 16.0 | 17280 | 1.0535 | 0.7483 | 0.3101 |
| 0.3447 | 17.0 | 18360 | 1.0640 | 0.7369 | 0.3081 |
| 0.325 | 18.0 | 19440 | 1.0327 | 0.7535 | 0.2905 |
| 0.3022 | 19.0 | 20520 | 0.9870 | 0.7232 | 0.2887 |
| 0.2825 | 20.0 | 21600 | 0.9183 | 0.6864 | 0.2806 |
| 0.2706 | 21.0 | 22680 | 0.9366 | 0.6812 | 0.2860 |
| 0.2507 | 22.0 | 23760 | 0.9585 | 0.6941 | 0.2608 |
| 0.237 | 23.0 | 24840 | 1.0100 | 0.6798 | 0.2802 |
| 0.2298 | 24.0 | 25920 | 0.9185 | 0.6349 | 0.2449 |
| 0.221 | 25.0 | 27000 | 0.9353 | 0.6580 | 0.2785 |
| 0.2052 | 26.0 | 28080 | 0.8652 | 0.6493 | 0.2507 |
| 0.1928 | 27.0 | 29160 | 0.8859 | 0.6776 | 0.2631 |
| 0.1889 | 28.0 | 30240 | 0.9240 | 0.6637 | 0.2666 |
| 0.1771 | 29.0 | 31320 | 0.9043 | 0.6256 | 0.2493 |
| 0.163 | 30.0 | 32400 | 0.9131 | 0.6504 | 0.2621 |
| 0.1603 | 31.0 | 33480 | 0.8102 | 0.6319 | 0.2406 |
| 0.1447 | 32.0 | 34560 | 0.9245 | 0.6337 | 0.2448 |
| 0.1418 | 33.0 | 35640 | 0.9590 | 0.6236 | 0.2530 |
| 0.1415 | 34.0 | 36720 | 0.9275 | 0.6345 | 0.2579 |
| 0.1313 | 35.0 | 37800 | 0.8644 | 0.6280 | 0.2498 |
| 0.1285 | 36.0 | 38880 | 0.9071 | 0.625 | 0.2651 |
| 0.1204 | 37.0 | 39960 | 0.8658 | 0.6092 | 0.2387 |
| 0.1116 | 38.0 | 41040 | 0.8684 | 0.6267 | 0.2459 |
| 0.102 | 39.0 | 42120 | 0.9792 | 0.6245 | 0.2410 |
| 0.0966 | 40.0 | 43200 | 0.8881 | 0.6163 | 0.2466 |
| 0.0934 | 41.0 | 44280 | 0.8669 | 0.5971 | 0.2340 |
| 0.0847 | 42.0 | 45360 | 0.9718 | 0.6207 | 0.2371 |
| 0.0828 | 43.0 | 46440 | 0.9573 | 0.6223 | 0.2393 |
| 0.0727 | 44.0 | 47520 | 0.9872 | 0.6097 | 0.2358 |
| 0.0701 | 45.0 | 48600 | 0.9421 | 0.6116 | 0.2446 |
| 0.0648 | 46.0 | 49680 | 0.9591 | 0.6043 | 0.2467 |
| 0.0634 | 47.0 | 50760 | 0.9991 | 0.6110 | 0.2355 |
| 0.0573 | 48.0 | 51840 | 0.9873 | 0.6054 | 0.2345 |
| 0.0527 | 49.0 | 52920 | 0.9886 | 0.5936 | 0.2325 |
| 0.0506 | 50.0 | 54000 | 1.0199 | 0.5941 | 0.2287 |
| 0.0486 | 51.0 | 55080 | 1.0691 | 0.5881 | 0.2263 |
| 0.0447 | 52.0 | 56160 | 1.0141 | 0.5893 | 0.2296 |
| 0.0419 | 53.0 | 57240 | 1.0658 | 0.5873 | 0.2279 |
| 0.0376 | 54.0 | 58320 | 1.1441 | 0.5889 | 0.2254 |
| 0.0355 | 55.0 | 59400 | 1.1462 | 0.5881 | 0.2249 |
| 0.0335 | 56.0 | 60480 | 1.1712 | 0.5860 | 0.2244 |
| 0.0296 | 57.0 | 61560 | 1.1622 | 0.5786 | 0.2218 |
| 0.0301 | 58.0 | 62640 | 1.1704 | 0.5840 | 0.2235 |
| 0.0283 | 59.0 | 63720 | 1.1973 | 0.5805 | 0.2213 |
| 0.0245 | 60.0 | 64800 | 1.1908 | 0.5762 | 0.2198 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
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