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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: outputs
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # outputs
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 551.5420
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+ - Wer: 0.5423
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+ - Cer: 0.1998
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.25
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+ - num_epochs: 60.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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+ | 3985.5875 | 1.0 | 1080 | 283.6873 | 0.5933 | 0.1666 |
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+ | 665.3671 | 2.0 | 2160 | 223.1731 | 0.3818 | 0.1186 |
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+ | 481.9958 | 3.0 | 3240 | 223.3375 | 0.4375 | 0.1354 |
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+ | 442.5208 | 4.0 | 4320 | 236.0903 | 0.4233 | 0.1444 |
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+ | 421.2154 | 5.0 | 5400 | 304.9387 | 0.4626 | 0.1564 |
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+ | 431.8639 | 6.0 | 6480 | 298.5758 | 0.5199 | 0.1793 |
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+ | 444.0917 | 7.0 | 7560 | 347.2079 | 0.5570 | 0.1988 |
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+ | 451.4575 | 8.0 | 8640 | 375.0053 | 0.5731 | 0.2092 |
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+ | 445.6943 | 9.0 | 9720 | 360.6095 | 0.6165 | 0.2406 |
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+ | 457.5267 | 10.0 | 10800 | 413.6321 | 0.6510 | 0.2522 |
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+ | 468.0921 | 11.0 | 11880 | 405.5587 | 0.6422 | 0.2447 |
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+ | 469.1014 | 12.0 | 12960 | 423.7671 | 0.6370 | 0.2496 |
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+ | 472.7028 | 13.0 | 14040 | 476.4250 | 0.6583 | 0.2521 |
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+ | 477.4817 | 14.0 | 15120 | 431.7321 | 0.6496 | 0.2523 |
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+ | 476.1046 | 15.0 | 16200 | 456.8628 | 0.6735 | 0.2686 |
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+ | 478.12 | 16.0 | 17280 | 477.7070 | 0.6667 | 0.2542 |
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+ | 439.3815 | 17.0 | 18360 | 441.1053 | 0.6577 | 0.2600 |
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+ | 406.8238 | 18.0 | 19440 | 417.4709 | 0.6793 | 0.2496 |
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+ | 381.221 | 19.0 | 20520 | 385.2146 | 0.6340 | 0.2346 |
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+ | 349.7026 | 20.0 | 21600 | 417.8041 | 0.6319 | 0.2451 |
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+ | 336.5142 | 21.0 | 22680 | 446.5249 | 0.6700 | 0.2432 |
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+ | 316.0003 | 22.0 | 23760 | 414.9000 | 0.6574 | 0.2296 |
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+ | 301.4025 | 23.0 | 24840 | 435.7232 | 0.6242 | 0.2294 |
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+ | 276.272 | 24.0 | 25920 | 447.3780 | 0.6108 | 0.2273 |
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+ | 267.6378 | 25.0 | 27000 | 412.0445 | 0.6068 | 0.2430 |
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+ | 249.7945 | 26.0 | 28080 | 411.8222 | 0.6144 | 0.2386 |
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+ | 238.2421 | 27.0 | 29160 | 403.0204 | 0.6283 | 0.2365 |
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+ | 226.9799 | 28.0 | 30240 | 399.3009 | 0.6117 | 0.2249 |
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+ | 209.7066 | 29.0 | 31320 | 418.8339 | 0.5925 | 0.2297 |
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+ | 200.3202 | 30.0 | 32400 | 411.5076 | 0.6037 | 0.2221 |
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+ | 193.5312 | 31.0 | 33480 | 421.6948 | 0.5925 | 0.2199 |
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+ | 186.5759 | 32.0 | 34560 | 403.4677 | 0.5838 | 0.2202 |
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+ | 176.4434 | 33.0 | 35640 | 449.6694 | 0.5985 | 0.2256 |
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+ | 164.8203 | 34.0 | 36720 | 373.5114 | 0.5936 | 0.2238 |
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+ | 153.8149 | 35.0 | 37800 | 387.5101 | 0.5713 | 0.2196 |
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+ | 148.2955 | 36.0 | 38880 | 422.5177 | 0.5836 | 0.2219 |
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+ | 139.206 | 37.0 | 39960 | 424.9959 | 0.5836 | 0.2233 |
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+ | 137.3851 | 38.0 | 41040 | 428.6248 | 0.5863 | 0.2188 |
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+ | 128.706 | 39.0 | 42120 | 420.8113 | 0.5759 | 0.2173 |
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+ | 122.1991 | 40.0 | 43200 | 449.3417 | 0.5792 | 0.2218 |
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+ | 114.7006 | 41.0 | 44280 | 472.1264 | 0.5743 | 0.2232 |
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+ | 112.9208 | 42.0 | 45360 | 484.6367 | 0.5870 | 0.2134 |
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+ | 104.3684 | 43.0 | 46440 | 475.1778 | 0.5617 | 0.2078 |
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+ | 101.3417 | 44.0 | 47520 | 438.1502 | 0.5639 | 0.2081 |
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+ | 93.9768 | 45.0 | 48600 | 450.4065 | 0.5582 | 0.2067 |
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+ | 95.7108 | 46.0 | 49680 | 471.1706 | 0.5646 | 0.2114 |
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+ | 85.0469 | 47.0 | 50760 | 466.9779 | 0.5614 | 0.2078 |
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+ | 86.9859 | 48.0 | 51840 | 457.3221 | 0.5639 | 0.2069 |
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+ | 82.6203 | 49.0 | 52920 | 467.1034 | 0.5559 | 0.2060 |
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+ | 76.6465 | 50.0 | 54000 | 488.0355 | 0.5606 | 0.2075 |
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+ | 72.2897 | 51.0 | 55080 | 506.8006 | 0.5529 | 0.2017 |
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+ | 66.3217 | 52.0 | 56160 | 513.1782 | 0.5503 | 0.2066 |
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+ | 63.3613 | 53.0 | 57240 | 509.8887 | 0.5571 | 0.2055 |
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+ | 63.2432 | 54.0 | 58320 | 532.0458 | 0.5603 | 0.2093 |
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+ | 58.8891 | 55.0 | 59400 | 529.6933 | 0.5526 | 0.2062 |
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+ | 64.8119 | 56.0 | 60480 | 530.6396 | 0.5466 | 0.2025 |
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+ | 53.2317 | 57.0 | 61560 | 548.7179 | 0.5415 | 0.1994 |
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+ | 52.8465 | 58.0 | 62640 | 547.5447 | 0.5399 | 0.2007 |
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+ | 50.4224 | 59.0 | 63720 | 545.9059 | 0.5426 | 0.2007 |
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+ | 50.2867 | 60.0 | 64800 | 551.5420 | 0.5423 | 0.1998 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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