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---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ssc-led-model
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. -->
# ssc-led-model
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4926
- Cer: 0.3156
- Wer: 0.7297
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
| 6.557 | 0.1390 | 100 | 3.2742 | 0.9964 | 0.9999 |
| 3.4632 | 0.2780 | 200 | 3.2694 | 0.9912 | 0.9994 |
| 3.4078 | 0.4170 | 300 | 3.2839 | 0.9842 | 0.9999 |
| 3.3831 | 0.5559 | 400 | 3.1970 | 0.9833 | 1.0 |
| 3.2858 | 0.6949 | 500 | 3.2411 | 0.9913 | 0.9998 |
| 3.1984 | 0.8339 | 600 | 2.8873 | 0.9778 | 0.9999 |
| 3.058 | 0.9729 | 700 | 3.1117 | 0.9838 | 1.0 |
| 2.9646 | 1.1112 | 800 | 2.7581 | 0.6400 | 1.0181 |
| 2.9609 | 1.2502 | 900 | 2.7426 | 0.6333 | 1.0380 |
| 2.9051 | 1.3892 | 1000 | 2.7028 | 0.6283 | 1.1000 |
| 2.7531 | 1.5281 | 1100 | 2.4181 | 0.6132 | 1.0336 |
| 2.6876 | 1.6671 | 1200 | 2.4824 | 0.6167 | 1.0435 |
| 2.5923 | 1.8061 | 1300 | 2.2197 | 0.5982 | 0.9760 |
| 2.4445 | 1.9451 | 1400 | 2.2790 | 0.5738 | 1.0593 |
| 2.4327 | 2.0834 | 1500 | 2.0705 | 0.6024 | 0.9433 |
| 2.2965 | 2.2224 | 1600 | 1.9625 | 0.5488 | 1.0015 |
| 2.251 | 2.3614 | 1700 | 1.9497 | 0.5375 | 0.9985 |
| 2.2063 | 2.5003 | 1800 | 1.8847 | 0.5316 | 1.0227 |
| 2.1696 | 2.6393 | 1900 | 1.8468 | 0.5320 | 0.9897 |
| 2.0999 | 2.7783 | 2000 | 1.8188 | 0.5418 | 0.9231 |
| 2.106 | 2.9173 | 2100 | 1.7915 | 0.5226 | 0.9906 |
| 2.0443 | 3.0556 | 2200 | 1.7832 | 0.5175 | 0.9703 |
| 2.0008 | 3.1946 | 2300 | 1.9252 | 0.6242 | 0.9561 |
| 1.9581 | 3.3336 | 2400 | 1.7066 | 0.5050 | 0.9349 |
| 1.9088 | 3.4726 | 2500 | 1.6904 | 0.5084 | 0.9193 |
| 1.9802 | 3.6115 | 2600 | 1.7291 | 0.5031 | 0.9391 |
| 1.9073 | 3.7505 | 2700 | 1.6498 | 0.4955 | 0.9059 |
| 1.8964 | 3.8895 | 2800 | 1.6772 | 0.4835 | 0.9511 |
| 1.8309 | 4.0278 | 2900 | 1.5232 | 0.4640 | 0.9101 |
| 1.8294 | 4.1668 | 3000 | 1.5878 | 0.4740 | 0.9068 |
| 1.7896 | 4.3058 | 3100 | 1.5236 | 0.4635 | 0.8732 |
| 1.7279 | 4.4448 | 3200 | 1.5316 | 0.4659 | 0.8761 |
| 1.8116 | 4.5837 | 3300 | 1.5484 | 0.4494 | 0.9161 |
| 1.7621 | 4.7227 | 3400 | 1.4950 | 0.4332 | 0.8972 |
| 1.7334 | 4.8617 | 3500 | 1.4884 | 0.4439 | 0.8759 |
| 1.8286 | 5.0 | 3600 | 1.5486 | 0.4640 | 0.8888 |
| 1.68 | 5.1390 | 3700 | 1.5825 | 0.4565 | 0.9353 |
| 1.6566 | 5.2780 | 3800 | 1.5937 | 0.4680 | 0.8777 |
| 1.6644 | 5.4170 | 3900 | 1.4593 | 0.4405 | 0.8580 |
| 1.6664 | 5.5559 | 4000 | 1.5155 | 0.4474 | 0.8805 |
| 1.6503 | 5.6949 | 4100 | 1.6064 | 0.4754 | 0.8777 |
| 1.6167 | 5.8339 | 4200 | 1.6223 | 0.4630 | 0.9703 |
| 1.643 | 5.9729 | 4300 | 1.4182 | 0.4370 | 0.8597 |
| 1.477 | 6.1112 | 4400 | 1.4183 | 0.4144 | 0.8682 |
| 1.5618 | 6.2502 | 4500 | 1.3755 | 0.4162 | 0.8499 |
| 1.5647 | 6.3892 | 4600 | 1.4729 | 0.4105 | 0.9161 |
| 1.5552 | 6.5281 | 4700 | 1.3810 | 0.4108 | 0.8432 |
| 1.5455 | 6.6671 | 4800 | 1.3562 | 0.4252 | 0.8416 |
| 1.5155 | 6.8061 | 4900 | 1.3853 | 0.4014 | 0.8696 |
| 1.5147 | 6.9451 | 5000 | 1.4001 | 0.3984 | 0.8850 |
| 1.5683 | 7.0834 | 5100 | 1.2923 | 0.3984 | 0.8197 |
| 1.5013 | 7.2224 | 5200 | 1.3053 | 0.3908 | 0.8516 |
| 1.4608 | 7.3614 | 5300 | 1.3336 | 0.3946 | 0.8734 |
| 1.4684 | 7.5003 | 5400 | 1.2944 | 0.3925 | 0.8324 |
| 1.4936 | 7.6393 | 5500 | 1.3272 | 0.3852 | 0.8324 |
| 1.4579 | 7.7783 | 5600 | 1.3462 | 0.4061 | 0.8576 |
| 1.4586 | 7.9173 | 5700 | 1.3090 | 0.3859 | 0.8459 |
| 1.3563 | 8.0556 | 5800 | 1.3592 | 0.4145 | 0.8451 |
| 1.4024 | 8.1946 | 5900 | 1.3865 | 0.3983 | 0.9042 |
| 1.3459 | 8.3336 | 6000 | 1.4191 | 0.3923 | 0.8889 |
| 1.3772 | 8.4726 | 6100 | 1.3182 | 0.3893 | 0.8290 |
| 1.3714 | 8.6115 | 6200 | 1.3219 | 0.4035 | 0.8205 |
| 1.4096 | 8.7505 | 6300 | 1.3486 | 0.3844 | 0.8369 |
| 1.3768 | 8.8895 | 6400 | 1.2831 | 0.3810 | 0.8239 |
| 1.3808 | 9.0278 | 6500 | 1.2448 | 0.3705 | 0.7927 |
| 1.3053 | 9.1668 | 6600 | 1.3261 | 0.3886 | 0.8214 |
| 1.3379 | 9.3058 | 6700 | 1.2955 | 0.3741 | 0.8301 |
| 1.2732 | 9.4448 | 6800 | 1.2895 | 0.3771 | 0.8382 |
| 1.3168 | 9.5837 | 6900 | 1.2404 | 0.3669 | 0.8116 |
| 1.311 | 9.7227 | 7000 | 1.2535 | 0.3774 | 0.8159 |
| 1.3142 | 9.8617 | 7100 | 1.2507 | 0.3743 | 0.8225 |
| 1.4334 | 10.0 | 7200 | 1.2819 | 0.3881 | 0.8157 |
| 1.2647 | 10.1390 | 7300 | 1.3880 | 0.3891 | 0.8348 |
| 1.2282 | 10.2780 | 7400 | 1.2940 | 0.3763 | 0.8100 |
| 1.2965 | 10.4170 | 7500 | 1.3343 | 0.3774 | 0.8548 |
| 1.2611 | 10.5559 | 7600 | 1.3572 | 0.3801 | 0.8199 |
| 1.2283 | 10.6949 | 7700 | 1.3654 | 0.3708 | 0.8183 |
| 1.2699 | 10.8339 | 7800 | 1.2622 | 0.3679 | 0.7898 |
| 1.2802 | 10.9729 | 7900 | 1.3185 | 0.3849 | 0.8088 |
| 1.1242 | 11.1112 | 8000 | 1.2298 | 0.3617 | 0.7915 |
| 1.1502 | 11.2502 | 8100 | 1.2286 | 0.3525 | 0.7668 |
| 1.1642 | 11.3892 | 8200 | 1.2514 | 0.3581 | 0.8106 |
| 1.2153 | 11.5281 | 8300 | 1.2211 | 0.3544 | 0.7931 |
| 1.1378 | 11.6671 | 8400 | 1.2571 | 0.3652 | 0.7997 |
| 1.1795 | 11.8061 | 8500 | 1.2248 | 0.3527 | 0.7937 |
| 1.2308 | 11.9451 | 8600 | 1.2390 | 0.3582 | 0.7932 |
| 1.238 | 12.0834 | 8700 | 1.2046 | 0.3513 | 0.7879 |
| 1.0873 | 12.2224 | 8800 | 1.1623 | 0.3424 | 0.7721 |
| 1.1585 | 12.3614 | 8900 | 1.1803 | 0.3414 | 0.7795 |
| 1.1275 | 12.5003 | 9000 | 1.2063 | 0.3443 | 0.7714 |
| 1.1469 | 12.6393 | 9100 | 1.1775 | 0.3444 | 0.7778 |
| 1.1079 | 12.7783 | 9200 | 1.1507 | 0.3379 | 0.7576 |
| 1.1546 | 12.9173 | 9300 | 1.1499 | 0.3429 | 0.7713 |
| 1.064 | 13.0556 | 9400 | 1.2232 | 0.3445 | 0.7816 |
| 1.0603 | 13.1946 | 9500 | 1.2726 | 0.3697 | 0.7919 |
| 1.0666 | 13.3336 | 9600 | 1.2574 | 0.3545 | 0.8084 |
| 1.0512 | 13.4726 | 9700 | 1.2035 | 0.3532 | 0.7834 |
| 1.0698 | 13.6115 | 9800 | 1.2578 | 0.3527 | 0.7963 |
| 1.0912 | 13.7505 | 9900 | 1.2416 | 0.3466 | 0.7682 |
| 1.0627 | 13.8895 | 10000 | 1.2337 | 0.3453 | 0.7595 |
| 1.0987 | 14.0278 | 10100 | 1.1615 | 0.3369 | 0.7522 |
| 0.9958 | 14.1668 | 10200 | 1.1879 | 0.3412 | 0.7602 |
| 0.9942 | 14.3058 | 10300 | 1.1657 | 0.3421 | 0.7499 |
| 0.9759 | 14.4448 | 10400 | 1.1370 | 0.3482 | 0.7603 |
| 0.999 | 14.5837 | 10500 | 1.2919 | 0.3459 | 0.7803 |
| 1.0084 | 14.7227 | 10600 | 1.1895 | 0.3436 | 0.7621 |
| 1.017 | 14.8617 | 10700 | 1.1151 | 0.3301 | 0.7453 |
| 1.1085 | 15.0 | 10800 | 1.1994 | 0.3421 | 0.7856 |
| 0.9106 | 15.1390 | 10900 | 1.2353 | 0.3411 | 0.7535 |
| 0.9494 | 15.2780 | 11000 | 1.2391 | 0.3534 | 0.7680 |
| 0.9865 | 15.4170 | 11100 | 1.2126 | 0.3436 | 0.7789 |
| 0.9331 | 15.5559 | 11200 | 1.2147 | 0.3458 | 0.7521 |
| 0.9954 | 15.6949 | 11300 | 1.3586 | 0.3612 | 0.8058 |
| 0.9439 | 15.8339 | 11400 | 1.3371 | 0.3745 | 0.7877 |
| 0.9967 | 15.9729 | 11500 | 1.3378 | 0.3844 | 0.7991 |
| 0.8549 | 16.1112 | 11600 | 1.2175 | 0.3354 | 0.7517 |
| 0.8896 | 16.2502 | 11700 | 1.2278 | 0.3397 | 0.7657 |
| 0.8664 | 16.3892 | 11800 | 1.2651 | 0.3352 | 0.7603 |
| 0.8753 | 16.5281 | 11900 | 1.1716 | 0.3290 | 0.7444 |
| 0.8977 | 16.6671 | 12000 | 1.2236 | 0.3365 | 0.7479 |
| 0.9496 | 16.8061 | 12100 | 1.1973 | 0.3331 | 0.7412 |
| 0.91 | 16.9451 | 12200 | 1.1738 | 0.3343 | 0.7534 |
| 0.9119 | 17.0834 | 12300 | 1.1986 | 0.3325 | 0.7440 |
| 0.8525 | 17.2224 | 12400 | 1.1816 | 0.3435 | 0.7520 |
| 0.8101 | 17.3614 | 12500 | 1.1608 | 0.3279 | 0.7349 |
| 0.8687 | 17.5003 | 12600 | 1.1822 | 0.3338 | 0.7440 |
| 0.8453 | 17.6393 | 12700 | 1.1843 | 0.3258 | 0.7545 |
| 0.8405 | 17.7783 | 12800 | 1.1765 | 0.3392 | 0.7460 |
| 0.8665 | 17.9173 | 12900 | 1.1781 | 0.3304 | 0.7403 |
| 0.7923 | 18.0556 | 13000 | 1.2630 | 0.3339 | 0.7420 |
| 0.8042 | 18.1946 | 13100 | 1.2656 | 0.3343 | 0.7425 |
| 0.7833 | 18.3336 | 13200 | 1.2872 | 0.3359 | 0.7512 |
| 0.8003 | 18.4726 | 13300 | 1.2731 | 0.3374 | 0.7513 |
| 0.8029 | 18.6115 | 13400 | 1.2229 | 0.3304 | 0.7499 |
| 0.8214 | 18.7505 | 13500 | 1.2203 | 0.3259 | 0.7501 |
| 0.7935 | 18.8895 | 13600 | 1.2336 | 0.3246 | 0.7390 |
| 0.7993 | 19.0278 | 13700 | 1.2858 | 0.3251 | 0.7368 |
| 0.716 | 19.1668 | 13800 | 1.2969 | 0.3221 | 0.7418 |
| 0.7621 | 19.3058 | 13900 | 1.2338 | 0.3268 | 0.7489 |
| 0.7576 | 19.4448 | 14000 | 1.2330 | 0.3272 | 0.7390 |
| 0.7413 | 19.5837 | 14100 | 1.1901 | 0.3265 | 0.7326 |
| 0.7763 | 19.7227 | 14200 | 1.2638 | 0.3293 | 0.7475 |
| 0.7648 | 19.8617 | 14300 | 1.1992 | 0.3358 | 0.7456 |
| 0.8236 | 20.0 | 14400 | 1.1934 | 0.3420 | 0.7650 |
| 0.6941 | 20.1390 | 14500 | 1.2392 | 0.3316 | 0.7339 |
| 0.6681 | 20.2780 | 14600 | 1.3000 | 0.3249 | 0.7423 |
| 0.698 | 20.4170 | 14700 | 1.1913 | 0.3200 | 0.7260 |
| 0.7228 | 20.5559 | 14800 | 1.3172 | 0.3292 | 0.7378 |
| 0.7112 | 20.6949 | 14900 | 1.2621 | 0.3281 | 0.7527 |
| 0.7178 | 20.8339 | 15000 | 1.3336 | 0.3263 | 0.7634 |
| 0.7221 | 20.9729 | 15100 | 1.3298 | 0.3360 | 0.7485 |
| 0.601 | 21.1112 | 15200 | 1.3518 | 0.3298 | 0.7473 |
| 0.6322 | 21.2502 | 15300 | 1.3088 | 0.3367 | 0.7504 |
| 0.6384 | 21.3892 | 15400 | 1.2725 | 0.3278 | 0.7371 |
| 0.679 | 21.5281 | 15500 | 1.3340 | 0.3287 | 0.7537 |
| 0.6686 | 21.6671 | 15600 | 1.2990 | 0.3241 | 0.7401 |
| 0.666 | 21.8061 | 15700 | 1.3288 | 0.3265 | 0.7418 |
| 0.6466 | 21.9451 | 15800 | 1.2629 | 0.3161 | 0.7303 |
| 0.7039 | 22.0834 | 15900 | 1.2848 | 0.3208 | 0.7347 |
| 0.6094 | 22.2224 | 16000 | 1.3526 | 0.3224 | 0.7461 |
| 0.6243 | 22.3614 | 16100 | 1.3610 | 0.3253 | 0.7391 |
| 0.6053 | 22.5003 | 16200 | 1.3213 | 0.3196 | 0.7347 |
| 0.6238 | 22.6393 | 16300 | 1.3298 | 0.3202 | 0.7341 |
| 0.6083 | 22.7783 | 16400 | 1.3180 | 0.3180 | 0.7365 |
| 0.5848 | 22.9173 | 16500 | 1.3468 | 0.3208 | 0.7457 |
| 0.5828 | 23.0556 | 16600 | 1.3385 | 0.3257 | 0.7404 |
| 0.5904 | 23.1946 | 16700 | 1.3450 | 0.3191 | 0.7400 |
| 0.6162 | 23.3336 | 16800 | 1.3983 | 0.3278 | 0.7377 |
| 0.5515 | 23.4726 | 16900 | 1.3701 | 0.3212 | 0.7412 |
| 0.5598 | 23.6115 | 17000 | 1.3807 | 0.3215 | 0.7438 |
| 0.5535 | 23.7505 | 17100 | 1.4148 | 0.3301 | 0.7419 |
| 0.6105 | 23.8895 | 17200 | 1.3604 | 0.3197 | 0.7393 |
| 0.5633 | 24.0278 | 17300 | 1.3609 | 0.3193 | 0.7379 |
| 0.5327 | 24.1668 | 17400 | 1.3563 | 0.3185 | 0.7348 |
| 0.5824 | 24.3058 | 17500 | 1.4036 | 0.3231 | 0.7402 |
| 0.5035 | 24.4448 | 17600 | 1.3861 | 0.3218 | 0.7316 |
| 0.5411 | 24.5837 | 17700 | 1.3858 | 0.3218 | 0.7436 |
| 0.5418 | 24.7227 | 17800 | 1.3647 | 0.3193 | 0.7374 |
| 0.5533 | 24.8617 | 17900 | 1.4045 | 0.3211 | 0.7354 |
| 0.5557 | 25.0 | 18000 | 1.3967 | 0.3248 | 0.7414 |
| 0.493 | 25.1390 | 18100 | 1.4083 | 0.3184 | 0.7389 |
| 0.4945 | 25.2780 | 18200 | 1.3569 | 0.3174 | 0.7350 |
| 0.5113 | 25.4170 | 18300 | 1.4117 | 0.3242 | 0.7432 |
| 0.5373 | 25.5559 | 18400 | 1.4016 | 0.3206 | 0.7307 |
| 0.5291 | 25.6949 | 18500 | 1.4614 | 0.3221 | 0.7430 |
| 0.5006 | 25.8339 | 18600 | 1.3930 | 0.3189 | 0.7280 |
| 0.5286 | 25.9729 | 18700 | 1.4034 | 0.3225 | 0.7407 |
| 0.4113 | 26.1112 | 18800 | 1.4622 | 0.3169 | 0.7278 |
| 0.4876 | 26.2502 | 18900 | 1.4270 | 0.3192 | 0.7333 |
| 0.4888 | 26.3892 | 19000 | 1.4628 | 0.3157 | 0.7301 |
| 0.4572 | 26.5281 | 19100 | 1.4566 | 0.3175 | 0.7319 |
| 0.4721 | 26.6671 | 19200 | 1.4436 | 0.3208 | 0.7409 |
| 0.474 | 26.8061 | 19300 | 1.4377 | 0.3218 | 0.7391 |
| 0.4796 | 26.9451 | 19400 | 1.4474 | 0.3208 | 0.7378 |
| 0.5193 | 27.0834 | 19500 | 1.4400 | 0.3168 | 0.7309 |
| 0.4976 | 27.2224 | 19600 | 1.4349 | 0.3159 | 0.7302 |
| 0.4634 | 27.3614 | 19700 | 1.4753 | 0.3174 | 0.7339 |
| 0.4465 | 27.5003 | 19800 | 1.4669 | 0.3168 | 0.7345 |
| 0.4511 | 27.6393 | 19900 | 1.4651 | 0.3209 | 0.7390 |
| 0.4475 | 27.7783 | 20000 | 1.4643 | 0.3182 | 0.7328 |
| 0.4309 | 27.9173 | 20100 | 1.4598 | 0.3161 | 0.7303 |
| 0.4391 | 28.0556 | 20200 | 1.4789 | 0.3152 | 0.7373 |
| 0.452 | 28.1946 | 20300 | 1.4677 | 0.3145 | 0.7280 |
| 0.4376 | 28.3336 | 20400 | 1.4662 | 0.3179 | 0.7307 |
| 0.446 | 28.4726 | 20500 | 1.4773 | 0.3156 | 0.7318 |
| 0.4332 | 28.6115 | 20600 | 1.4617 | 0.3166 | 0.7297 |
| 0.4197 | 28.7505 | 20700 | 1.4659 | 0.3175 | 0.7336 |
| 0.4086 | 28.8895 | 20800 | 1.4816 | 0.3177 | 0.7359 |
| 0.4456 | 29.0278 | 20900 | 1.4862 | 0.3176 | 0.7349 |
| 0.4198 | 29.1668 | 21000 | 1.5056 | 0.3153 | 0.7317 |
| 0.4435 | 29.3058 | 21100 | 1.4887 | 0.3155 | 0.7289 |
| 0.3888 | 29.4448 | 21200 | 1.4954 | 0.3151 | 0.7261 |
| 0.4202 | 29.5837 | 21300 | 1.4947 | 0.3154 | 0.7289 |
| 0.4353 | 29.7227 | 21400 | 1.4926 | 0.3161 | 0.7300 |
| 0.4154 | 29.8617 | 21500 | 1.4921 | 0.3161 | 0.7295 |
| 0.4489 | 30.0 | 21600 | 1.4926 | 0.3156 | 0.7297 |
### Framework versions
- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0
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