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---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: ft_0123_korean
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. -->
# ft_0123_korean
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3699
- Cer: 0.0865
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 44.8594 | 0.08 | 100 | 44.3665 | 1.0 |
| 12.9149 | 0.16 | 200 | 6.5429 | 1.0 |
| 4.9281 | 0.24 | 300 | 5.0589 | 1.0 |
| 4.7706 | 0.32 | 400 | 5.0132 | 1.0 |
| 4.7775 | 0.4 | 500 | 4.9384 | 1.0 |
| 4.7654 | 0.48 | 600 | 4.8867 | 1.0 |
| 4.7027 | 0.56 | 700 | 4.8270 | 1.0 |
| 4.6665 | 0.64 | 800 | 4.8539 | 1.0 |
| 4.6345 | 0.72 | 900 | 4.7036 | 1.0 |
| 4.5947 | 0.8 | 1000 | 4.6693 | 1.0 |
| 4.5559 | 0.88 | 1100 | 4.5838 | 1.0 |
| 4.4675 | 0.96 | 1200 | 4.4082 | 0.9829 |
| 4.2824 | 1.04 | 1300 | 4.1135 | 0.9822 |
| 3.974 | 1.12 | 1400 | 3.5638 | 0.8459 |
| 3.4392 | 1.2 | 1500 | 2.9181 | 0.5621 |
| 3.0379 | 1.28 | 1600 | 2.6116 | 0.5058 |
| 2.8071 | 1.36 | 1700 | 2.3746 | 0.4765 |
| 2.6047 | 1.44 | 1800 | 2.2212 | 0.4516 |
| 2.4776 | 1.52 | 1900 | 2.0525 | 0.4275 |
| 2.3004 | 1.6 | 2000 | 1.9099 | 0.4083 |
| 2.2378 | 1.68 | 2100 | 1.8172 | 0.3878 |
| 2.1651 | 1.76 | 2200 | 1.7322 | 0.3740 |
| 2.0153 | 1.84 | 2300 | 1.6424 | 0.3547 |
| 1.9648 | 1.92 | 2400 | 1.5879 | 0.3416 |
| 1.8871 | 2.0 | 2500 | 1.5091 | 0.3311 |
| 1.8132 | 2.08 | 2600 | 1.4359 | 0.3203 |
| 1.7394 | 2.16 | 2700 | 1.3848 | 0.3193 |
| 1.6906 | 2.24 | 2800 | 1.3468 | 0.3147 |
| 1.6871 | 2.32 | 2900 | 1.3204 | 0.3095 |
| 1.6068 | 2.4 | 3000 | 1.2524 | 0.2957 |
| 1.5774 | 2.48 | 3100 | 1.2123 | 0.2852 |
| 1.5225 | 2.56 | 3200 | 1.1677 | 0.2785 |
| 1.4817 | 2.64 | 3300 | 1.1342 | 0.2727 |
| 1.4742 | 2.72 | 3400 | 1.0920 | 0.2667 |
| 1.4147 | 2.8 | 3500 | 1.0832 | 0.2616 |
| 1.4332 | 2.88 | 3600 | 1.0515 | 0.2588 |
| 1.3366 | 2.96 | 3700 | 1.0385 | 0.2558 |
| 1.3334 | 3.04 | 3800 | 0.9847 | 0.2501 |
| 1.277 | 3.12 | 3900 | 0.9959 | 0.2472 |
| 1.2866 | 3.2 | 4000 | 0.9506 | 0.2386 |
| 1.2299 | 3.28 | 4100 | 0.9189 | 0.2318 |
| 1.2261 | 3.36 | 4200 | 0.8910 | 0.2289 |
| 1.2111 | 3.44 | 4300 | 0.9037 | 0.2239 |
| 1.1714 | 3.52 | 4400 | 0.8729 | 0.2209 |
| 1.1327 | 3.6 | 4500 | 0.8688 | 0.2198 |
| 1.177 | 3.68 | 4600 | 0.8230 | 0.2143 |
| 1.1003 | 3.76 | 4700 | 0.8700 | 0.2196 |
| 1.083 | 3.84 | 4800 | 0.7949 | 0.2027 |
| 1.0884 | 3.92 | 4900 | 0.7844 | 0.2053 |
| 1.0457 | 4.0 | 5000 | 0.7730 | 0.2015 |
| 0.9918 | 4.08 | 5100 | 0.7647 | 0.1974 |
| 1.0337 | 4.16 | 5200 | 0.7602 | 0.1962 |
| 0.9958 | 4.24 | 5300 | 0.7328 | 0.1928 |
| 0.9732 | 4.32 | 5400 | 0.7355 | 0.1924 |
| 0.9486 | 4.4 | 5500 | 0.7216 | 0.1910 |
| 0.9375 | 4.48 | 5600 | 0.7011 | 0.1880 |
| 0.9509 | 4.56 | 5700 | 0.6768 | 0.1819 |
| 0.9454 | 4.64 | 5800 | 0.6813 | 0.1805 |
| 0.9493 | 4.72 | 5900 | 0.6705 | 0.1778 |
| 0.9406 | 4.8 | 6000 | 0.6510 | 0.1755 |
| 0.9441 | 4.88 | 6100 | 0.6461 | 0.1702 |
| 0.9469 | 4.96 | 6200 | 0.6496 | 0.1755 |
| 0.8764 | 5.04 | 6300 | 0.6510 | 0.1705 |
| 0.8494 | 5.12 | 6400 | 0.6289 | 0.1694 |
| 0.8175 | 5.2 | 6500 | 0.6184 | 0.1674 |
| 0.8543 | 5.28 | 6600 | 0.6155 | 0.1655 |
| 0.8571 | 5.36 | 6700 | 0.6156 | 0.1637 |
| 0.8629 | 5.44 | 6800 | 0.6085 | 0.1626 |
| 0.8203 | 5.52 | 6900 | 0.6037 | 0.1636 |
| 0.8155 | 5.6 | 7000 | 0.5979 | 0.1625 |
| 0.8114 | 5.68 | 7100 | 0.5817 | 0.1582 |
| 0.7884 | 5.76 | 7200 | 0.6055 | 0.1633 |
| 0.7826 | 5.84 | 7300 | 0.5757 | 0.1565 |
| 0.7918 | 5.92 | 7400 | 0.5803 | 0.1562 |
| 0.7835 | 6.0 | 7500 | 0.5714 | 0.1534 |
| 0.717 | 6.08 | 7600 | 0.5784 | 0.1557 |
| 0.726 | 6.16 | 7700 | 0.5566 | 0.1507 |
| 0.7377 | 6.24 | 7800 | 0.5686 | 0.1561 |
| 0.7187 | 6.32 | 7900 | 0.5505 | 0.1513 |
| 0.7374 | 6.4 | 8000 | 0.5610 | 0.1528 |
| 0.7278 | 6.48 | 8100 | 0.5579 | 0.1530 |
| 0.7383 | 6.56 | 8200 | 0.5479 | 0.1499 |
| 0.696 | 6.64 | 8300 | 0.5485 | 0.1484 |
| 0.726 | 6.72 | 8400 | 0.5355 | 0.1455 |
| 0.7024 | 6.8 | 8500 | 0.5213 | 0.1411 |
| 0.7294 | 6.88 | 8600 | 0.5213 | 0.1446 |
| 0.6634 | 6.96 | 8700 | 0.5211 | 0.1426 |
| 0.6888 | 7.04 | 8800 | 0.5341 | 0.1462 |
| 0.6623 | 7.12 | 8900 | 0.5123 | 0.1397 |
| 0.646 | 7.2 | 9000 | 0.5302 | 0.1447 |
| 0.6729 | 7.28 | 9100 | 0.5218 | 0.1412 |
| 0.6444 | 7.36 | 9200 | 0.5098 | 0.1384 |
| 0.6357 | 7.44 | 9300 | 0.5218 | 0.1414 |
| 0.6492 | 7.52 | 9400 | 0.5037 | 0.1365 |
| 0.6388 | 7.6 | 9500 | 0.5091 | 0.1368 |
| 0.6545 | 7.68 | 9600 | 0.4980 | 0.1365 |
| 0.6404 | 7.76 | 9700 | 0.4832 | 0.1318 |
| 0.644 | 7.84 | 9800 | 0.4904 | 0.1367 |
| 0.6401 | 7.92 | 9900 | 0.4985 | 0.1346 |
| 0.6312 | 8.0 | 10000 | 0.4863 | 0.1338 |
| 0.6088 | 8.08 | 10100 | 0.4851 | 0.1336 |
| 0.5566 | 8.16 | 10200 | 0.4844 | 0.1319 |
| 0.5806 | 8.24 | 10300 | 0.4865 | 0.1326 |
| 0.5604 | 8.32 | 10400 | 0.4833 | 0.1340 |
| 0.5977 | 8.4 | 10500 | 0.4726 | 0.1286 |
| 0.5909 | 8.48 | 10600 | 0.4784 | 0.1300 |
| 0.584 | 8.56 | 10700 | 0.4732 | 0.1282 |
| 0.5819 | 8.64 | 10800 | 0.4656 | 0.1261 |
| 0.5977 | 8.72 | 10900 | 0.4616 | 0.1249 |
| 0.5942 | 8.8 | 11000 | 0.4568 | 0.1249 |
| 0.5873 | 8.88 | 11100 | 0.4554 | 0.1252 |
| 0.576 | 8.96 | 11200 | 0.4600 | 0.1237 |
| 0.5503 | 9.04 | 11300 | 0.4699 | 0.1252 |
| 0.5586 | 9.12 | 11400 | 0.4695 | 0.1265 |
| 0.5146 | 9.2 | 11500 | 0.4544 | 0.1218 |
| 0.5505 | 9.28 | 11600 | 0.4509 | 0.1221 |
| 0.5358 | 9.36 | 11700 | 0.4577 | 0.1259 |
| 0.5465 | 9.44 | 11800 | 0.4481 | 0.1205 |
| 0.5255 | 9.52 | 11900 | 0.4427 | 0.1221 |
| 0.506 | 9.6 | 12000 | 0.4466 | 0.1193 |
| 0.5248 | 9.68 | 12100 | 0.4345 | 0.1167 |
| 0.569 | 9.76 | 12200 | 0.4429 | 0.1173 |
| 0.4933 | 9.84 | 12300 | 0.4377 | 0.1181 |
| 0.5381 | 9.92 | 12400 | 0.4359 | 0.1170 |
| 0.5206 | 10.0 | 12500 | 0.4401 | 0.1185 |
| 0.4755 | 10.08 | 12600 | 0.4409 | 0.1173 |
| 0.4899 | 10.16 | 12700 | 0.4350 | 0.1158 |
| 0.4834 | 10.24 | 12800 | 0.4351 | 0.1158 |
| 0.4973 | 10.32 | 12900 | 0.4202 | 0.1130 |
| 0.4798 | 10.4 | 13000 | 0.4335 | 0.1148 |
| 0.499 | 10.48 | 13100 | 0.4327 | 0.1149 |
| 0.4852 | 10.56 | 13200 | 0.4277 | 0.1149 |
| 0.475 | 10.64 | 13300 | 0.4233 | 0.1111 |
| 0.4653 | 10.72 | 13400 | 0.4169 | 0.1093 |
| 0.4776 | 10.8 | 13500 | 0.4341 | 0.1125 |
| 0.4803 | 10.88 | 13600 | 0.4305 | 0.1124 |
| 0.4721 | 10.96 | 13700 | 0.4212 | 0.1130 |
| 0.4655 | 11.04 | 13800 | 0.4262 | 0.1086 |
| 0.4513 | 11.12 | 13900 | 0.4295 | 0.1113 |
| 0.4563 | 11.2 | 14000 | 0.4299 | 0.1111 |
| 0.4537 | 11.28 | 14100 | 0.4192 | 0.1086 |
| 0.4273 | 11.36 | 14200 | 0.4176 | 0.1067 |
| 0.4667 | 11.44 | 14300 | 0.4125 | 0.1071 |
| 0.4468 | 11.52 | 14400 | 0.4080 | 0.1072 |
| 0.4546 | 11.6 | 14500 | 0.4108 | 0.1047 |
| 0.4468 | 11.68 | 14600 | 0.4104 | 0.1082 |
| 0.4322 | 11.76 | 14700 | 0.4071 | 0.1052 |
| 0.4379 | 11.84 | 14800 | 0.3994 | 0.1057 |
| 0.4471 | 11.92 | 14900 | 0.4043 | 0.1058 |
| 0.4394 | 12.0 | 15000 | 0.3971 | 0.1040 |
| 0.4162 | 12.08 | 15100 | 0.3995 | 0.1027 |
| 0.4183 | 12.16 | 15200 | 0.4092 | 0.1055 |
| 0.4192 | 12.24 | 15300 | 0.4078 | 0.1043 |
| 0.4154 | 12.32 | 15400 | 0.4062 | 0.1040 |
| 0.3932 | 12.4 | 15500 | 0.4032 | 0.1034 |
| 0.412 | 12.48 | 15600 | 0.4083 | 0.1041 |
| 0.4008 | 12.56 | 15700 | 0.3941 | 0.1025 |
| 0.4199 | 12.64 | 15800 | 0.4014 | 0.1031 |
| 0.4252 | 12.72 | 15900 | 0.3991 | 0.1014 |
| 0.436 | 12.8 | 16000 | 0.3938 | 0.1032 |
| 0.4137 | 12.88 | 16100 | 0.3902 | 0.1022 |
| 0.4201 | 12.96 | 16200 | 0.3927 | 0.1023 |
| 0.4052 | 13.04 | 16300 | 0.3967 | 0.1003 |
| 0.3852 | 13.12 | 16400 | 0.3942 | 0.0995 |
| 0.3912 | 13.2 | 16500 | 0.3959 | 0.1004 |
| 0.3658 | 13.28 | 16600 | 0.3970 | 0.1010 |
| 0.416 | 13.36 | 16700 | 0.4067 | 0.1036 |
| 0.396 | 13.44 | 16800 | 0.3964 | 0.0994 |
| 0.3972 | 13.52 | 16900 | 0.3937 | 0.1000 |
| 0.3863 | 13.6 | 17000 | 0.3990 | 0.0995 |
| 0.3688 | 13.68 | 17100 | 0.3901 | 0.0992 |
| 0.3712 | 13.76 | 17200 | 0.3828 | 0.0975 |
| 0.3711 | 13.84 | 17300 | 0.3853 | 0.0971 |
| 0.3845 | 13.92 | 17400 | 0.3909 | 0.0983 |
| 0.4011 | 14.0 | 17500 | 0.3859 | 0.0978 |
| 0.3762 | 14.08 | 17600 | 0.3961 | 0.0986 |
| 0.3734 | 14.16 | 17700 | 0.3930 | 0.0976 |
| 0.3577 | 14.24 | 17800 | 0.3883 | 0.0981 |
| 0.3723 | 14.32 | 17900 | 0.3864 | 0.0970 |
| 0.3596 | 14.4 | 18000 | 0.3900 | 0.0978 |
| 0.3642 | 14.48 | 18100 | 0.3848 | 0.0970 |
| 0.3684 | 14.56 | 18200 | 0.3949 | 0.0968 |
| 0.3553 | 14.64 | 18300 | 0.3968 | 0.0981 |
| 0.3564 | 14.72 | 18400 | 0.3942 | 0.0966 |
| 0.3709 | 14.8 | 18500 | 0.4025 | 0.0982 |
| 0.3653 | 14.88 | 18600 | 0.3840 | 0.0951 |
| 0.3679 | 14.96 | 18700 | 0.3777 | 0.0934 |
| 0.339 | 15.04 | 18800 | 0.3812 | 0.0941 |
| 0.3384 | 15.12 | 18900 | 0.3809 | 0.0935 |
| 0.3192 | 15.2 | 19000 | 0.3887 | 0.0942 |
| 0.3368 | 15.28 | 19100 | 0.3815 | 0.0939 |
| 0.3298 | 15.36 | 19200 | 0.3854 | 0.0935 |
| 0.3368 | 15.44 | 19300 | 0.3837 | 0.0936 |
| 0.3392 | 15.52 | 19400 | 0.3756 | 0.0935 |
| 0.3413 | 15.6 | 19500 | 0.3801 | 0.0934 |
| 0.3083 | 15.68 | 19600 | 0.3809 | 0.0930 |
| 0.3461 | 15.76 | 19700 | 0.3825 | 0.0927 |
| 0.3257 | 15.84 | 19800 | 0.3800 | 0.0928 |
| 0.3347 | 15.92 | 19900 | 0.3806 | 0.0919 |
| 0.3201 | 16.0 | 20000 | 0.3853 | 0.0927 |
| 0.3127 | 16.08 | 20100 | 0.3843 | 0.0917 |
| 0.2948 | 16.16 | 20200 | 0.3823 | 0.0907 |
| 0.3061 | 16.24 | 20300 | 0.3777 | 0.0900 |
| 0.3232 | 16.32 | 20400 | 0.3760 | 0.0904 |
| 0.3045 | 16.4 | 20500 | 0.3831 | 0.0908 |
| 0.3276 | 16.48 | 20600 | 0.3739 | 0.0898 |
| 0.3141 | 16.56 | 20700 | 0.3805 | 0.0907 |
| 0.3218 | 16.64 | 20800 | 0.3790 | 0.0906 |
| 0.3181 | 16.72 | 20900 | 0.3761 | 0.0904 |
| 0.3177 | 16.8 | 21000 | 0.3749 | 0.0903 |
| 0.3111 | 16.88 | 21100 | 0.3742 | 0.0894 |
| 0.3349 | 16.96 | 21200 | 0.3689 | 0.0883 |
| 0.3282 | 17.04 | 21300 | 0.3731 | 0.0889 |
| 0.2896 | 17.12 | 21400 | 0.3756 | 0.0895 |
| 0.2892 | 17.2 | 21500 | 0.3729 | 0.0886 |
| 0.3125 | 17.28 | 21600 | 0.3736 | 0.0882 |
| 0.31 | 17.36 | 21700 | 0.3701 | 0.0881 |
| 0.2853 | 17.44 | 21800 | 0.3742 | 0.0880 |
| 0.2954 | 17.52 | 21900 | 0.3757 | 0.0885 |
| 0.3003 | 17.6 | 22000 | 0.3720 | 0.0876 |
| 0.314 | 17.68 | 22100 | 0.3719 | 0.0883 |
| 0.3186 | 17.76 | 22200 | 0.3761 | 0.0890 |
| 0.31 | 17.84 | 22300 | 0.3698 | 0.0879 |
| 0.305 | 17.92 | 22400 | 0.3740 | 0.0881 |
| 0.2989 | 18.0 | 22500 | 0.3724 | 0.0878 |
| 0.2932 | 18.08 | 22600 | 0.3691 | 0.0872 |
| 0.2911 | 18.16 | 22700 | 0.3686 | 0.0873 |
| 0.2972 | 18.24 | 22800 | 0.3692 | 0.0872 |
| 0.2915 | 18.32 | 22900 | 0.3714 | 0.0874 |
| 0.2956 | 18.4 | 23000 | 0.3721 | 0.0873 |
| 0.2737 | 18.48 | 23100 | 0.3745 | 0.0875 |
| 0.3018 | 18.56 | 23200 | 0.3727 | 0.0873 |
| 0.2732 | 18.64 | 23300 | 0.3732 | 0.0871 |
| 0.2971 | 18.72 | 23400 | 0.3699 | 0.0876 |
| 0.3005 | 18.8 | 23500 | 0.3724 | 0.0871 |
| 0.2865 | 18.88 | 23600 | 0.3738 | 0.0869 |
| 0.2873 | 18.96 | 23700 | 0.3710 | 0.0865 |
| 0.2981 | 19.04 | 23800 | 0.3721 | 0.0869 |
| 0.2926 | 19.12 | 23900 | 0.3741 | 0.0869 |
| 0.2796 | 19.2 | 24000 | 0.3733 | 0.0867 |
| 0.2869 | 19.28 | 24100 | 0.3722 | 0.0860 |
| 0.2624 | 19.36 | 24200 | 0.3734 | 0.0862 |
| 0.2976 | 19.44 | 24300 | 0.3733 | 0.0862 |
| 0.2809 | 19.52 | 24400 | 0.3733 | 0.0864 |
| 0.273 | 19.6 | 24500 | 0.3716 | 0.0863 |
| 0.3105 | 19.68 | 24600 | 0.3702 | 0.0863 |
| 0.2937 | 19.76 | 24700 | 0.3702 | 0.0863 |
| 0.2849 | 19.84 | 24800 | 0.3697 | 0.0864 |
| 0.2865 | 19.92 | 24900 | 0.3700 | 0.0865 |
| 0.2872 | 20.0 | 25000 | 0.3699 | 0.0865 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0

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added_tokens.json Normal file
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{
"</s>": 1298,
"<s>": 1297
}

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config.json Normal file
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{
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
"activation_dropout": 0.0,
"adapter_attn_dim": null,
"adapter_kernel_size": 3,
"adapter_stride": 2,
"add_adapter": false,
"apply_spec_augment": true,
"architectures": [
"Wav2Vec2ForCTC"
],
"attention_dropout": 0.1,
"bos_token_id": 1,
"classifier_proj_size": 256,
"codevector_dim": 768,
"contrastive_logits_temperature": 0.1,
"conv_bias": true,
"conv_dim": [
512,
512,
512,
512,
512,
512,
512
],
"conv_kernel": [
10,
3,
3,
3,
3,
2,
2
],
"conv_stride": [
5,
2,
2,
2,
2,
2,
2
],
"ctc_loss_reduction": "mean",
"ctc_zero_infinity": false,
"diversity_loss_weight": 0.1,
"do_stable_layer_norm": true,
"eos_token_id": 2,
"feat_extract_activation": "gelu",
"feat_extract_dropout": 0.0,
"feat_extract_norm": "layer",
"feat_proj_dropout": 0.1,
"feat_quantizer_dropout": 0.0,
"final_dropout": 0.0,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-05,
"layerdrop": 0.1,
"mask_feature_length": 10,
"mask_feature_min_masks": 0,
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