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---
library_name: transformers
language:
- vi
base_model: lock_s2t-small-uit-vimd_192355
tags:
- speech-to-text
- vietnamese
- uit-vimd
- generated_from_trainer
datasets:
- uit-vimd
metrics:
- wer
model-index:
- name: s2t-small-uit-vimd-finetuned
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: UIT-ViMD
type: uit-vimd
metrics:
- name: Wer
type: wer
value: 0.299330570608862
---
<!-- 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. -->
# s2t-small-uit-vimd-finetuned
This model is a fine-tuned version of [lock_s2t-small-uit-vimd_192355](https://huggingface.co/lock_s2t-small-uit-vimd_192355) on the UIT-ViMD dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9924
- Wer: 0.2993
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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_steps: 1500
- training_steps: 40000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 1.7572 | 0.0490 | 46 | 1.8361 | 0.6165 |
| 1.7571 | 0.0980 | 92 | 1.8453 | 0.6250 |
| 1.7017 | 0.1470 | 138 | 1.8005 | 0.6551 |
| 1.6797 | 0.1960 | 184 | 1.7893 | 0.6621 |
| 1.6581 | 0.2449 | 230 | 1.7749 | 0.6178 |
| 1.6088 | 0.2939 | 276 | 1.7541 | 0.6911 |
| 1.624 | 0.3429 | 322 | 1.7435 | 0.6374 |
| 1.6397 | 0.3919 | 368 | 1.7343 | 0.6046 |
| 1.5714 | 0.4409 | 414 | 1.7033 | 0.5620 |
| 1.5615 | 0.4899 | 460 | 1.6827 | 0.6565 |
| 1.5751 | 0.5389 | 506 | 1.6752 | 0.5916 |
| 1.5767 | 0.5879 | 552 | 1.6542 | 0.5945 |
| 1.5185 | 0.6368 | 598 | 1.6385 | 0.6006 |
| 1.5641 | 0.6858 | 644 | 1.6269 | 0.5714 |
| 1.4975 | 0.7348 | 690 | 1.6170 | 0.5542 |
| 1.5288 | 0.7838 | 736 | 1.6039 | 0.5483 |
| 1.5106 | 0.8328 | 782 | 1.6066 | 0.5137 |
| 1.4704 | 0.8818 | 828 | 1.5884 | 0.5148 |
| 1.4625 | 0.9308 | 874 | 1.5818 | 0.5367 |
| 1.4827 | 0.9798 | 920 | 1.5753 | 0.5805 |
| 1.4287 | 1.0288 | 966 | 1.5727 | 0.6089 |
| 1.423 | 1.0777 | 1012 | 1.5546 | 0.5685 |
| 1.4065 | 1.1267 | 1058 | 1.5430 | 0.5897 |
| 1.4159 | 1.1757 | 1104 | 1.5189 | 0.5792 |
| 1.4114 | 1.2247 | 1150 | 1.5148 | 0.5591 |
| 1.3863 | 1.2737 | 1196 | 1.5100 | 0.5359 |
| 1.4605 | 1.3227 | 1242 | 1.5091 | 0.4837 |
| 1.4049 | 1.3717 | 1288 | 1.4959 | 0.4890 |
| 1.3761 | 1.4207 | 1334 | 1.4824 | 0.4645 |
| 1.4008 | 1.4696 | 1380 | 1.4540 | 0.4528 |
| 1.3893 | 1.5186 | 1426 | 1.4479 | 0.4949 |
| 1.3644 | 1.5676 | 1472 | 1.4556 | 0.5312 |
| 1.3774 | 1.6166 | 1518 | 1.4441 | 0.5046 |
| 1.3733 | 1.6656 | 1564 | 1.4311 | 0.4608 |
| 1.3722 | 1.7146 | 1610 | 1.4247 | 0.4935 |
| 1.3116 | 1.7636 | 1656 | 1.4148 | 0.4273 |
| 1.3391 | 1.8126 | 1702 | 1.4128 | 0.5014 |
| 1.3505 | 1.8616 | 1748 | 1.4087 | 0.5013 |
| 1.3371 | 1.9105 | 1794 | 1.3920 | 0.4507 |
| 1.3235 | 1.9595 | 1840 | 1.3964 | 0.4842 |
| 1.3062 | 2.0085 | 1886 | 1.3700 | 0.5218 |
| 1.2194 | 2.0575 | 1932 | 1.3757 | 0.4731 |
| 1.2488 | 2.1065 | 1978 | 1.3812 | 0.4668 |
| 1.2392 | 2.1555 | 2024 | 1.3662 | 0.4557 |
| 1.2676 | 2.2045 | 2070 | 1.3563 | 0.4734 |
| 1.2242 | 2.2535 | 2116 | 1.3378 | 0.4319 |
| 1.2472 | 2.3024 | 2162 | 1.3513 | 0.4442 |
| 1.2285 | 2.3514 | 2208 | 1.3445 | 0.4385 |
| 1.2297 | 2.4004 | 2254 | 1.3343 | 0.4627 |
| 1.2016 | 2.4494 | 2300 | 1.3360 | 0.4493 |
| 1.2439 | 2.4984 | 2346 | 1.3183 | 0.4480 |
| 1.2096 | 2.5474 | 2392 | 1.3168 | 0.4394 |
| 1.227 | 2.5964 | 2438 | 1.3125 | 0.4417 |
| 1.1905 | 2.6454 | 2484 | 1.3057 | 0.4047 |
| 1.1681 | 2.6944 | 2530 | 1.2961 | 0.4139 |
| 1.2209 | 2.7433 | 2576 | 1.2938 | 0.4135 |
| 1.2029 | 2.7923 | 2622 | 1.2849 | 0.4332 |
| 1.1977 | 2.8413 | 2668 | 1.2938 | 0.4267 |
| 1.1976 | 2.8903 | 2714 | 1.2877 | 0.4259 |
| 1.1939 | 2.9393 | 2760 | 1.2771 | 0.4133 |
| 1.2151 | 2.9883 | 2806 | 1.2670 | 0.4197 |
| 1.1395 | 3.0373 | 2852 | 1.2865 | 0.4354 |
| 1.0845 | 3.0863 | 2898 | 1.2641 | 0.4316 |
| 1.0471 | 3.1353 | 2944 | 1.2609 | 0.4099 |
| 1.1189 | 3.1842 | 2990 | 1.2681 | 0.4265 |
| 1.1358 | 3.2332 | 3036 | 1.2564 | 0.3983 |
| 1.1279 | 3.2822 | 3082 | 1.2441 | 0.4326 |
| 1.157 | 3.3312 | 3128 | 1.2515 | 0.3814 |
| 1.0963 | 3.3802 | 3174 | 1.2468 | 0.4001 |
| 1.0981 | 3.4292 | 3220 | 1.2414 | 0.4206 |
| 1.1165 | 3.4782 | 3266 | 1.2393 | 0.3809 |
| 1.0594 | 3.5272 | 3312 | 1.2229 | 0.3851 |
| 1.0668 | 3.5761 | 3358 | 1.2264 | 0.3760 |
| 1.0991 | 3.6251 | 3404 | 1.2175 | 0.3931 |
| 1.1016 | 3.6741 | 3450 | 1.2042 | 0.3946 |
| 1.068 | 3.7231 | 3496 | 1.2146 | 0.3618 |
| 1.0918 | 3.7721 | 3542 | 1.1883 | 0.3902 |
| 1.077 | 3.8211 | 3588 | 1.2077 | 0.3696 |
| 1.0912 | 3.8701 | 3634 | 1.1838 | 0.3970 |
| 1.0739 | 3.9191 | 3680 | 1.1903 | 0.3668 |
| 1.1475 | 3.9681 | 3726 | 1.1983 | 0.3841 |
| 1.0658 | 4.0170 | 3772 | 1.1937 | 0.3725 |
| 1.0177 | 4.0660 | 3818 | 1.1894 | 0.3790 |
| 0.9442 | 4.1150 | 3864 | 1.2047 | 0.3572 |
| 1.0337 | 4.1640 | 3910 | 1.1978 | 0.3561 |
| 1.0644 | 4.2130 | 3956 | 1.2001 | 0.3586 |
| 0.9971 | 4.2620 | 4002 | 1.1912 | 0.3502 |
| 1.0139 | 4.3110 | 4048 | 1.1946 | 0.3671 |
| 1.007 | 4.3600 | 4094 | 1.1893 | 0.3618 |
| 1.03 | 4.4089 | 4140 | 1.1738 | 0.3644 |
| 1.0011 | 4.4579 | 4186 | 1.1887 | 0.4018 |
| 0.9874 | 4.5069 | 4232 | 1.1751 | 0.3741 |
| 1.0079 | 4.5559 | 4278 | 1.1790 | 0.3867 |
| 1.0059 | 4.6049 | 4324 | 1.1649 | 0.3768 |
| 1.0051 | 4.6539 | 4370 | 1.1648 | 0.3918 |
| 1.0397 | 4.7029 | 4416 | 1.1517 | 0.3698 |
| 1.0216 | 4.7519 | 4462 | 1.1600 | 0.3585 |
| 0.9799 | 4.8009 | 4508 | 1.1628 | 0.3538 |
| 1.0347 | 4.8498 | 4554 | 1.1560 | 0.3562 |
| 0.9958 | 4.8988 | 4600 | 1.1504 | 0.3481 |
| 1.019 | 4.9478 | 4646 | 1.1421 | 0.3637 |
| 1.0019 | 4.9968 | 4692 | 1.1248 | 0.3765 |
| 0.9473 | 5.0458 | 4738 | 1.1379 | 0.3521 |
| 0.9194 | 5.0948 | 4784 | 1.1369 | 0.3481 |
| 0.928 | 5.1438 | 4830 | 1.1418 | 0.3495 |
| 0.9204 | 5.1928 | 4876 | 1.1392 | 0.3977 |
| 0.9382 | 5.2417 | 4922 | 1.1333 | 0.3462 |
| 0.9572 | 5.2907 | 4968 | 1.1376 | 0.3471 |
| 0.939 | 5.3397 | 5014 | 1.1436 | 0.3446 |
| 0.9695 | 5.3887 | 5060 | 1.1225 | 0.3422 |
| 0.9303 | 5.4377 | 5106 | 1.1261 | 0.3562 |
| 0.9572 | 5.4867 | 5152 | 1.1320 | 0.3543 |
| 0.9614 | 5.5357 | 5198 | 1.1267 | 0.3564 |
| 0.9328 | 5.5847 | 5244 | 1.1318 | 0.3872 |
| 0.9005 | 5.6337 | 5290 | 1.1323 | 0.3379 |
| 0.9758 | 5.6826 | 5336 | 1.1254 | 0.3390 |
| 0.9411 | 5.7316 | 5382 | 1.1224 | 0.3919 |
| 0.9359 | 5.7806 | 5428 | 1.1112 | 0.3617 |
| 0.9433 | 5.8296 | 5474 | 1.0961 | 0.3325 |
| 0.9454 | 5.8786 | 5520 | 1.0988 | 0.3443 |
| 0.923 | 5.9276 | 5566 | 1.1049 | 0.3267 |
| 0.9525 | 5.9766 | 5612 | 1.0973 | 0.3682 |
| 0.9083 | 6.0256 | 5658 | 1.0923 | 0.3368 |
| 0.912 | 6.0745 | 5704 | 1.1067 | 0.3322 |
| 0.858 | 6.1235 | 5750 | 1.1026 | 0.3382 |
| 0.9162 | 6.1725 | 5796 | 1.0954 | 0.3486 |
| 0.8776 | 6.2215 | 5842 | 1.0930 | 0.3620 |
| 0.8828 | 6.2705 | 5888 | 1.0965 | 0.3266 |
| 0.8723 | 6.3195 | 5934 | 1.0964 | 0.3175 |
| 0.8524 | 6.3685 | 5980 | 1.0978 | 0.3379 |
| 0.8791 | 6.4175 | 6026 | 1.1007 | 0.3640 |
| 0.8962 | 6.4665 | 6072 | 1.0807 | 0.3363 |
| 0.9189 | 6.5154 | 6118 | 1.0934 | 0.3363 |
| 0.8487 | 6.5644 | 6164 | 1.0807 | 0.3247 |
| 0.8904 | 6.6134 | 6210 | 1.0922 | 0.3398 |
| 0.8679 | 6.6624 | 6256 | 1.0910 | 0.3491 |
| 0.89 | 6.7114 | 6302 | 1.0819 | 0.3277 |
| 0.9157 | 6.7604 | 6348 | 1.0806 | 0.3457 |
| 0.8636 | 6.8094 | 6394 | 1.0757 | 0.3245 |
| 0.8912 | 6.8584 | 6440 | 1.0726 | 0.3460 |
| 0.9072 | 6.9073 | 6486 | 1.0707 | 0.3315 |
| 0.8774 | 6.9563 | 6532 | 1.0611 | 0.3221 |
| 0.8869 | 7.0053 | 6578 | 1.0692 | 0.3204 |
| 0.8122 | 7.0543 | 6624 | 1.0877 | 0.3116 |
| 0.8716 | 7.1033 | 6670 | 1.0745 | 0.3306 |
| 0.8196 | 7.1523 | 6716 | 1.0662 | 0.3261 |
| 0.8396 | 7.2013 | 6762 | 1.0625 | 0.3172 |
| 0.8319 | 7.2503 | 6808 | 1.0560 | 0.3226 |
| 0.848 | 7.2993 | 6854 | 1.0851 | 0.3277 |
| 0.8479 | 7.3482 | 6900 | 1.0611 | 0.3226 |
| 0.8153 | 7.3972 | 6946 | 1.0742 | 0.3350 |
| 0.8269 | 7.4462 | 6992 | 1.0741 | 0.3334 |
| 0.8385 | 7.4952 | 7038 | 1.0639 | 0.3465 |
| 0.8096 | 7.5442 | 7084 | 1.0757 | 0.3494 |
| 0.8544 | 7.5932 | 7130 | 1.0519 | 0.3507 |
| 0.8415 | 7.6422 | 7176 | 1.0547 | 0.3524 |
| 0.8645 | 7.6912 | 7222 | 1.0560 | 0.3416 |
| 0.8594 | 7.7401 | 7268 | 1.0589 | 0.3264 |
| 0.8092 | 7.7891 | 7314 | 1.0535 | 0.3441 |
| 0.8595 | 7.8381 | 7360 | 1.0498 | 0.3379 |
| 0.8432 | 7.8871 | 7406 | 1.0523 | 0.3252 |
| 0.8735 | 7.9361 | 7452 | 1.0557 | 0.3749 |
| 0.8588 | 7.9851 | 7498 | 1.0536 | 0.3186 |
| 0.8199 | 8.0341 | 7544 | 1.0510 | 0.3318 |
| 0.7679 | 8.0831 | 7590 | 1.0604 | 0.3446 |
| 0.789 | 8.1321 | 7636 | 1.0530 | 0.3444 |
| 0.7756 | 8.1810 | 7682 | 1.0377 | 0.3570 |
| 0.7923 | 8.2300 | 7728 | 1.0643 | 0.3747 |
| 0.7933 | 8.2790 | 7774 | 1.0546 | 0.3181 |
| 0.7804 | 8.3280 | 7820 | 1.0455 | 0.3275 |
| 0.7988 | 8.3770 | 7866 | 1.0362 | 0.3358 |
| 0.8083 | 8.4260 | 7912 | 1.0341 | 0.3301 |
| 0.7837 | 8.4750 | 7958 | 1.0330 | 0.3460 |
| 0.8011 | 8.5240 | 8004 | 1.0370 | 0.3537 |
| 0.8241 | 8.5729 | 8050 | 1.0383 | 0.3272 |
| 0.7776 | 8.6219 | 8096 | 1.0266 | 0.3468 |
| 0.7931 | 8.6709 | 8142 | 1.0358 | 0.3177 |
| 0.8014 | 8.7199 | 8188 | 1.0329 | 0.3178 |
| 0.814 | 8.7689 | 8234 | 1.0409 | 0.3838 |
| 0.8312 | 8.8179 | 8280 | 1.0403 | 0.3232 |
| 0.8477 | 8.8669 | 8326 | 1.0332 | 0.3193 |
| 0.816 | 8.9159 | 8372 | 1.0259 | 0.3216 |
| 0.8083 | 8.9649 | 8418 | 1.0208 | 0.3099 |
| 0.8057 | 9.0138 | 8464 | 1.0238 | 0.3218 |
| 0.7335 | 9.0628 | 8510 | 1.0403 | 0.3240 |
| 0.7546 | 9.1118 | 8556 | 1.0388 | 0.3309 |
| 0.7287 | 9.1608 | 8602 | 1.0240 | 0.3197 |
| 0.7685 | 9.2098 | 8648 | 1.0375 | 0.3317 |
| 0.7734 | 9.2588 | 8694 | 1.0431 | 0.3336 |
| 0.8028 | 9.3078 | 8740 | 1.0522 | 0.3272 |
| 0.7345 | 9.3568 | 8786 | 1.0398 | 0.3146 |
| 0.7659 | 9.4058 | 8832 | 1.0259 | 0.3548 |
| 0.7735 | 9.4547 | 8878 | 1.0353 | 0.3199 |
| 0.7758 | 9.5037 | 8924 | 1.0259 | 0.3487 |
| 0.7496 | 9.5527 | 8970 | 1.0229 | 0.3287 |
| 0.7764 | 9.6017 | 9016 | 1.0332 | 0.3502 |
| 0.7826 | 9.6507 | 9062 | 1.0285 | 0.3231 |
| 0.7731 | 9.6997 | 9108 | 1.0202 | 0.3481 |
| 0.7714 | 9.7487 | 9154 | 1.0272 | 0.3344 |
| 0.7781 | 9.7977 | 9200 | 1.0170 | 0.3204 |
| 0.8076 | 9.8466 | 9246 | 1.0104 | 0.3266 |
| 0.7609 | 9.8956 | 9292 | 1.0145 | 0.3127 |
| 0.7595 | 9.9446 | 9338 | 1.0116 | 0.3118 |
| 0.7975 | 9.9936 | 9384 | 1.0146 | 0.3099 |
| 0.7265 | 10.0426 | 9430 | 1.0183 | 0.3097 |
| 0.702 | 10.0916 | 9476 | 1.0155 | 0.3114 |
| 0.7254 | 10.1406 | 9522 | 1.0299 | 0.3419 |
| 0.7453 | 10.1896 | 9568 | 1.0093 | 0.3127 |
| 0.7232 | 10.2386 | 9614 | 1.0165 | 0.3242 |
| 0.7516 | 10.2875 | 9660 | 1.0097 | 0.3395 |
| 0.7404 | 10.3365 | 9706 | 1.0181 | 0.3535 |
| 0.7419 | 10.3855 | 9752 | 1.0072 | 0.3199 |
| 0.7193 | 10.4345 | 9798 | 1.0088 | 0.3116 |
| 0.6984 | 10.4835 | 9844 | 1.0169 | 0.3216 |
| 0.7382 | 10.5325 | 9890 | 1.0142 | 0.3462 |
| 0.7495 | 10.5815 | 9936 | 1.0101 | 0.3336 |
| 0.7388 | 10.6305 | 9982 | 1.0111 | 0.3389 |
| 0.7348 | 10.6794 | 10028 | 1.0037 | 0.3397 |
| 0.7586 | 10.7284 | 10074 | 0.9927 | 0.3521 |
| 0.7304 | 10.7774 | 10120 | 1.0082 | 0.3298 |
| 0.7667 | 10.8264 | 10166 | 1.0086 | 0.3279 |
| 0.7357 | 10.8754 | 10212 | 0.9974 | 0.3196 |
| 0.793 | 10.9244 | 10258 | 1.0059 | 0.3545 |
| 0.7668 | 10.9734 | 10304 | 0.9908 | 0.3186 |
| 0.7007 | 11.0224 | 10350 | 1.0085 | 0.3162 |
| 0.7216 | 11.0714 | 10396 | 0.9879 | 0.3159 |
| 0.6698 | 11.1203 | 10442 | 0.9882 | 0.3197 |
| 0.7225 | 11.1693 | 10488 | 1.0060 | 0.3102 |
| 0.709 | 11.2183 | 10534 | 1.0000 | 0.2944 |
| 0.6797 | 11.2673 | 10580 | 1.0035 | 0.3127 |
| 0.7062 | 11.3163 | 10626 | 0.9957 | 0.3146 |
| 0.7043 | 11.3653 | 10672 | 0.9986 | 0.3097 |
| 0.6759 | 11.4143 | 10718 | 1.0029 | 0.3201 |
| 0.7107 | 11.4633 | 10764 | 0.9810 | 0.3609 |
| 0.7013 | 11.5122 | 10810 | 0.9798 | 0.3280 |
| 0.6903 | 11.5612 | 10856 | 0.9827 | 0.3207 |
| 0.6967 | 11.6102 | 10902 | 0.9906 | 0.3105 |
| 0.7206 | 11.6592 | 10948 | 0.9862 | 0.3127 |
| 0.7435 | 11.7082 | 10994 | 0.9853 | 0.3078 |
| 0.7311 | 11.7572 | 11040 | 1.0085 | 0.3309 |
| 0.7318 | 11.8062 | 11086 | 1.0002 | 0.3172 |
| 0.7397 | 11.8552 | 11132 | 0.9791 | 0.3169 |
| 0.7179 | 11.9042 | 11178 | 0.9846 | 0.3145 |
| 0.7143 | 11.9531 | 11224 | 0.9977 | 0.3033 |
| 0.7496 | 12.0021 | 11270 | 0.9967 | 0.3285 |
| 0.6547 | 12.0511 | 11316 | 0.9954 | 0.3065 |
| 0.6897 | 12.1001 | 11362 | 1.0002 | 0.3076 |
| 0.6642 | 12.1491 | 11408 | 0.9978 | 0.3142 |
| 0.661 | 12.1981 | 11454 | 0.9927 | 0.3057 |
| 0.6781 | 12.2471 | 11500 | 0.9992 | 0.3162 |
| 0.6856 | 12.2961 | 11546 | 1.0077 | 0.3151 |
| 0.6776 | 12.3450 | 11592 | 0.9895 | 0.3197 |
| 0.6921 | 12.3940 | 11638 | 1.0124 | 0.3204 |
| 0.6982 | 12.4430 | 11684 | 1.0040 | 0.3103 |
| 0.6885 | 12.4920 | 11730 | 0.9951 | 0.3113 |
| 0.679 | 12.5410 | 11776 | 1.0012 | 0.3089 |
| 0.6974 | 12.5900 | 11822 | 0.9946 | 0.3202 |
| 0.6862 | 12.6390 | 11868 | 0.9875 | 0.3076 |
| 0.6929 | 12.6880 | 11914 | 0.9867 | 0.3099 |
| 0.6526 | 12.7370 | 11960 | 0.9897 | 0.3078 |
| 0.7107 | 12.7859 | 12006 | 0.9849 | 0.3228 |
| 0.6697 | 12.8349 | 12052 | 0.9829 | 0.3430 |
| 0.6986 | 12.8839 | 12098 | 0.9949 | 0.3373 |
| 0.7056 | 12.9329 | 12144 | 0.9660 | 0.3389 |
| 0.722 | 12.9819 | 12190 | 0.9513 | 0.3239 |
| 0.6482 | 13.0309 | 12236 | 0.9834 | 0.3559 |
| 0.651 | 13.0799 | 12282 | 0.9834 | 0.3317 |
| 0.612 | 13.1289 | 12328 | 0.9858 | 0.3354 |
| 0.6633 | 13.1778 | 12374 | 0.9837 | 0.3266 |
| 0.6286 | 13.2268 | 12420 | 0.9792 | 0.3303 |
| 0.6242 | 13.2758 | 12466 | 0.9844 | 0.3293 |
| 0.663 | 13.3248 | 12512 | 0.9814 | 0.3285 |
| 0.6688 | 13.3738 | 12558 | 0.9924 | 0.2993 |
### Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0
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