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--- |
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language: |
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- ga |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ymoslem/IWSLT2023-GA-EN |
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- ymoslem/FLEURS-GA-EN |
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- ymoslem/BitesizeIrish-GA-EN |
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- ymoslem/SpokenWords-GA-EN-MTed |
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- ymoslem/Tatoeba-Speech-Irish |
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- ymoslem/Wikimedia-Speech-Irish |
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metrics: |
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- bleu |
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- wer |
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model-index: |
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- name: Whisper Medium GA-EN Speech Translation, 1 epoch, 10k steps |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia |
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type: ymoslem/IWSLT2023-GA-EN |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 31.69 |
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- name: Wer |
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type: wer |
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value: 64.970733903647 |
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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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# Whisper Medium GA-EN Speech Translation, 1 epoch, 10k steps |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co./openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5548 |
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- Bleu: 31.69 |
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- Chrf: 50.38 |
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- Wer: 64.9707 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 19000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Bleu | Chrf | Validation Loss | Wer | |
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|:-------------:|:------:|:-----:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.4382 | 0.0109 | 100 | 3.07 | 16.85 | 2.1114 | 171.0491 | |
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| 2.6151 | 0.0219 | 200 | 6.25 | 23.02 | 2.0207 | 126.9698 | |
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| 2.5699 | 0.0328 | 300 | 5.71 | 24.03 | 1.8660 | 155.5606 | |
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| 2.3084 | 0.0438 | 400 | 9.87 | 28.45 | 1.8084 | 129.0860 | |
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| 2.3327 | 0.0547 | 500 | 12.01 | 31.92 | 1.7823 | 102.7915 | |
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| 2.1495 | 0.0657 | 600 | 13.97 | 32.4 | 1.7238 | 98.6042 | |
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| 2.2164 | 0.0766 | 700 | 11.21 | 33.19 | 1.6538 | 146.0153 | |
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| 2.0071 | 0.0876 | 800 | 14.34 | 35.72 | 1.7038 | 96.9383 | |
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| 1.8334 | 0.0985 | 900 | 16.51 | 37.23 | 1.6329 | 96.8032 | |
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| 1.8359 | 0.1095 | 1000 | 17.87 | 35.94 | 1.6637 | 84.4665 | |
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| 1.7703 | 0.1204 | 1100 | 19.54 | 39.02 | 1.5626 | 79.7839 | |
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| 1.5805 | 0.1314 | 1200 | 20.19 | 40.4 | 1.5618 | 77.8028 | |
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| 1.4545 | 0.1423 | 1300 | 13.88 | 35.53 | 1.5599 | 112.5619 | |
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| 1.5177 | 0.1533 | 1400 | 18.79 | 40.11 | 1.4880 | 84.6916 | |
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| 1.6335 | 0.1642 | 1500 | 16.41 | 38.64 | 1.4996 | 96.9833 | |
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| 1.3809 | 0.1752 | 1600 | 18.3 | 40.17 | 1.4739 | 101.8910 | |
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| 1.2694 | 0.1861 | 1700 | 22.53 | 43.15 | 1.4498 | 76.9923 | |
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| 1.2321 | 0.1970 | 1800 | 19.92 | 42.59 | 1.4163 | 84.6015 | |
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| 1.1969 | 0.2080 | 1900 | 21.63 | 44.92 | 1.4137 | 85.3670 | |
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| 1.2023 | 0.2189 | 2000 | 20.42 | 41.57 | 1.3530 | 82.8906 | |
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| 1.1676 | 0.2299 | 2100 | 22.82 | 44.23 | 1.3723 | 78.1180 | |
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| 1.0332 | 0.2408 | 2200 | 26.73 | 44.75 | 1.3641 | 70.2386 | |
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| 0.8589 | 0.2518 | 2300 | 26.94 | 46.89 | 1.3344 | 72.7600 | |
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| 0.9829 | 0.2627 | 2400 | 28.15 | 47.21 | 1.3181 | 69.1130 | |
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| 0.8228 | 0.2737 | 2500 | 26.98 | 47.41 | 1.3049 | 74.0207 | |
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| 0.7667 | 0.2846 | 2600 | 30.0 | 49.42 | 1.2698 | 65.1058 | |
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| 0.8749 | 0.2956 | 2700 | 27.91 | 47.67 | 1.2878 | 66.9518 | |
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| 0.7504 | 0.3065 | 2800 | 32.03 | 50.35 | 1.2670 | 63.6650 | |
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| 0.7069 | 0.3175 | 2900 | 30.7 | 49.53 | 1.2771 | 64.4304 | |
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| 0.7199 | 0.3284 | 3000 | 30.21 | 48.93 | 1.2658 | 65.5561 | |
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| 0.6207 | 0.3394 | 3100 | 30.82 | 49.11 | 1.2687 | 66.0063 | |
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| 0.5995 | 0.3503 | 3200 | 31.99 | 50.94 | 1.2207 | 62.9446 | |
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| 0.6294 | 0.3612 | 3300 | 31.05 | 50.85 | 1.2422 | 64.7006 | |
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| 0.4612 | 0.3722 | 3400 | 33.1 | 51.82 | 1.2203 | 61.9090 | |
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| 0.5138 | 0.3831 | 3500 | 32.08 | 51.86 | 1.2007 | 63.0797 | |
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| 0.5059 | 0.3941 | 3600 | 31.8 | 51.19 | 1.2130 | 63.9352 | |
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| 0.417 | 0.4050 | 3700 | 32.45 | 51.41 | 1.1975 | 62.2692 | |
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| 0.2958 | 0.4160 | 3800 | 29.29 | 51.39 | 1.2046 | 62.7645 | |
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| 0.393 | 0.4269 | 3900 | 28.95 | 51.45 | 1.1968 | 63.1697 | |
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| 0.3858 | 0.4379 | 4000 | 29.54 | 51.58 | 1.1929 | 62.4043 | |
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| 0.5416 | 0.4488 | 4100 | 27.29 | 43.94 | 1.3522 | 67.9424 | |
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| 0.6644 | 0.4598 | 4200 | 23.16 | 44.45 | 1.4191 | 77.3976 | |
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| 0.5246 | 0.4707 | 4300 | 22.26 | 44.91 | 1.4221 | 77.2625 | |
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| 0.614 | 0.4817 | 4400 | 26.9 | 46.15 | 1.3956 | 70.4638 | |
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| 0.5973 | 0.4926 | 4500 | 25.55 | 45.51 | 1.4152 | 76.7222 | |
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| 0.544 | 0.5036 | 4600 | 23.54 | 47.87 | 1.4091 | 79.1085 | |
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| 0.5975 | 0.5145 | 4700 | 21.85 | 42.69 | 1.4644 | 78.5682 | |
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| 0.4675 | 0.5255 | 4800 | 22.93 | 43.69 | 1.4598 | 76.9023 | |
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| 0.7959 | 0.5364 | 4900 | 24.91 | 44.98 | 1.3884 | 74.5610 | |
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| 0.5936 | 0.5473 | 5000 | 26.91 | 44.88 | 1.4235 | 69.0680 | |
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| 0.4631 | 0.5583 | 5100 | 25.77 | 45.81 | 1.4002 | 74.0207 | |
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| 0.5188 | 0.5692 | 5200 | 28.37 | 45.48 | 1.4405 | 66.2765 | |
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| 0.4675 | 0.5802 | 5300 | 21.1 | 43.11 | 1.4045 | 92.1207 | |
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| 0.4214 | 0.5911 | 5400 | 25.62 | 44.82 | 1.4250 | 72.2197 | |
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| 0.4592 | 0.6021 | 5500 | 27.24 | 46.44 | 1.4107 | 70.0585 | |
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| 0.4809 | 0.6130 | 5600 | 27.93 | 47.42 | 1.3896 | 69.5182 | |
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| 0.4364 | 0.6240 | 5700 | 25.84 | 47.47 | 1.3808 | 77.6227 | |
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| 0.3333 | 0.6349 | 5800 | 26.46 | 47.08 | 1.4203 | 72.4899 | |
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| 0.3345 | 0.6459 | 5900 | 23.1 | 44.6 | 1.4763 | 81.2247 | |
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| 0.3368 | 0.6568 | 6000 | 24.55 | 45.76 | 1.4182 | 80.5493 | |
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| 0.3061 | 0.6678 | 6100 | 23.1 | 45.97 | 1.4218 | 81.3597 | |
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| 0.324 | 0.6787 | 6200 | 28.26 | 47.06 | 1.4453 | 67.5822 | |
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| 0.2667 | 0.6897 | 6300 | 27.87 | 46.14 | 1.4494 | 69.0230 | |
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| 0.2845 | 0.7006 | 6400 | 26.39 | 46.72 | 1.4448 | 71.4543 | |
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| 0.3125 | 0.7115 | 6500 | 27.81 | 46.45 | 1.4643 | 70.0135 | |
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| 0.264 | 0.7225 | 6600 | 26.27 | 47.75 | 1.4244 | 72.7600 | |
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| 0.2426 | 0.7334 | 6700 | 25.84 | 46.68 | 1.4081 | 76.4070 | |
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| 0.2174 | 0.7444 | 6800 | 30.67 | 47.92 | 1.4036 | 65.8262 | |
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| 0.2265 | 0.7553 | 6900 | 28.11 | 49.12 | 1.4174 | 71.2292 | |
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| 0.2016 | 0.7663 | 7000 | 30.43 | 49.47 | 1.4341 | 65.9163 | |
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| 0.1865 | 0.7772 | 7100 | 32.05 | 49.5 | 1.3690 | 63.1697 | |
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| 0.2148 | 0.7882 | 7200 | 32.29 | 49.91 | 1.3603 | 63.8901 | |
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| 0.2126 | 0.7991 | 7300 | 32.07 | 49.31 | 1.4046 | 63.6650 | |
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| 0.1594 | 0.8101 | 7400 | 29.94 | 47.48 | 1.4122 | 65.5110 | |
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| 0.1295 | 0.8210 | 7500 | 30.14 | 49.79 | 1.4243 | 65.7812 | |
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| 0.1378 | 0.8320 | 7600 | 31.23 | 49.42 | 1.4334 | 65.9613 | |
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| 0.1701 | 0.8429 | 7700 | 31.04 | 49.95 | 1.4149 | 65.6461 | |
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| 0.1102 | 0.8539 | 7800 | 31.37 | 50.2 | 1.4082 | 63.7100 | |
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| 0.1267 | 0.8648 | 7900 | 32.86 | 50.83 | 1.3642 | 60.8285 | |
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| 0.1384 | 0.8758 | 8000 | 33.47 | 49.61 | 1.3860 | 59.8829 | |
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| 0.1128 | 0.8867 | 8100 | 32.78 | 50.04 | 1.3840 | 61.8190 | |
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| 0.1197 | 0.8976 | 8200 | 33.69 | 50.94 | 1.3641 | 61.8190 | |
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| 0.1181 | 0.9086 | 8300 | 32.0 | 49.65 | 1.3913 | 63.5299 | |
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| 0.0866 | 0.9195 | 8400 | 30.39 | 48.48 | 1.4171 | 68.0324 | |
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| 0.0784 | 0.9305 | 8500 | 32.27 | 49.32 | 1.3850 | 63.3949 | |
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| 0.092 | 0.9414 | 8600 | 33.78 | 51.13 | 1.3880 | 61.2787 | |
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| 0.0685 | 0.9524 | 8700 | 34.33 | 51.23 | 1.3876 | 61.1887 | |
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| 0.0783 | 0.9633 | 8800 | 33.4 | 48.9 | 1.4010 | 62.5844 | |
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| 0.0735 | 0.9743 | 8900 | 33.72 | 49.01 | 1.4035 | 61.5038 | |
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| 0.0875 | 0.9852 | 9000 | 30.44 | 49.06 | 1.4064 | 67.5371 | |
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| 0.0822 | 0.9962 | 9100 | 34.64 | 51.51 | 1.3803 | 60.5133 | |
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| 0.041 | 1.0071 | 9200 | 34.66 | 52.06 | 1.3678 | 59.4327 | |
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| 0.0351 | 1.0181 | 9300 | 33.88 | 51.16 | 1.3739 | 61.3688 | |
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| 0.0368 | 1.0290 | 9400 | 35.2 | 51.73 | 1.3846 | 60.4232 | |
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| 0.035 | 1.0400 | 9500 | 34.23 | 51.32 | 1.3753 | 60.8735 | |
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| 0.0277 | 1.0509 | 9600 | 35.0 | 52.59 | 1.3788 | 60.0180 | |
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| 0.0247 | 1.0619 | 9700 | 34.69 | 51.7 | 1.3914 | 60.2882 | |
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| 0.0321 | 1.0728 | 9800 | 34.63 | 51.91 | 1.3804 | 60.6033 | |
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| 0.0286 | 1.0837 | 9900 | 33.92 | 51.64 | 1.3795 | 61.8640 | |
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| 0.0239 | 1.0947 | 10000 | 33.79 | 51.67 | 1.3818 | 61.6839 | |
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| 0.085 | 1.1056 | 10100 | 1.5082| 26.54 | 46.14 | 70.9140 | |
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| 0.1002 | 1.1166 | 10200 | 1.5156| 31.06 | 47.27 | 64.7006 | |
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| 0.1144 | 1.1275 | 10300 | 1.5837| 24.93 | 44.33 | 73.3003 | |
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| 0.1137 | 1.1385 | 10400 | 1.5372| 28.96 | 47.2 | 65.7812 | |
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| 0.1182 | 1.1494 | 10500 | 1.5366| 30.05 | 47.09 | 65.6461 | |
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| 0.1214 | 1.1604 | 10600 | 1.5160| 26.83 | 46.73 | 70.2386 | |
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| 0.1413 | 1.1713 | 10700 | 1.5384| 27.92 | 47.04 | 70.3287 | |
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| 0.1011 | 1.1823 | 10800 | 1.5791| 27.71 | 46.13 | 70.5538 | |
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| 0.1187 | 1.1932 | 10900 | 1.6188| 22.91 | 44.41 | 81.8100 | |
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| 0.1364 | 1.2042 | 11000 | 1.5807| 29.38 | 45.46 | 67.3570 | |
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| 0.1158 | 1.2151 | 11100 | 1.5819| 25.33 | 44.25 | 76.0919 | |
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| 0.1199 | 1.2261 | 11200 | 1.5727| 27.52 | 46.0 | 68.3926 | |
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| 0.1213 | 1.2370 | 11300 | 1.5728| 26.92 | 45.92 | 69.4732 | |
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| 0.1291 | 1.2479 | 11400 | 1.5743| 28.13 | 44.72 | 67.9874 | |
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| 0.131 | 1.2589 | 11500 | 1.5337| 29.42 | 48.65 | 66.6367 | |
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| 0.1279 | 1.2698 | 11600 | 1.6752| 22.78 | 43.45 | 79.2436 | |
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| 0.116 | 1.2808 | 11700 | 1.6056| 26.91 | 45.46 | 70.4638 | |
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| 0.1126 | 1.2917 | 11800 | 1.6341| 26.11 | 45.71 | 70.5988 | |
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| 0.1263 | 1.3027 | 11900 | 1.6231| 28.31 | 46.34 | 69.6983 | |
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| 0.1072 | 1.3136 | 12000 | 1.5580| 30.51 | 47.66 | 65.5110 | |
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| 0.115 | 1.3246 | 12100 | 1.5944| 28.13 | 46.39 | 68.2575 | |
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| 0.1014 | 1.3355 | 12200 | 1.5486| 28.75 | 47.01 | 67.9874 | |
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| 0.1149 | 1.3465 | 12300 | 1.5973| 29.4 | 46.21 | 67.4021 | |
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| 0.1131 | 1.3574 | 12400 | 1.5769| 29.94 | 48.17 | 65.1959 | |
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| 0.1032 | 1.3684 | 12500 | 1.6363| 25.02 | 47.46 | 78.4331 | |
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| 0.1103 | 1.3793 | 12600 | 1.6057| 28.2 | 45.82 | 68.7528 | |
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| 0.109 | 1.3903 | 12700 | 1.5884| 28.0 | 45.95 | 69.1130 | |
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| 0.0927 | 1.4012 | 12800 | 1.5881| 29.86 | 47.67 | 67.5371 | |
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| 0.0829 | 1.4122 | 12900 | 1.5855| 29.15 | 45.76 | 67.6722 | |
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| 0.0955 | 1.4231 | 13000 | 1.6313| 27.59 | 46.3 | 69.7884 | |
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| 0.0874 | 1.4340 | 13100 | 1.6173| 30.52 | 45.99 | 64.5205 | |
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| 0.0816 | 1.4450 | 13200 | 1.5864| 30.89 | 47.34 | 65.1959 | |
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| 0.0836 | 1.4559 | 13300 | 1.6319| 30.18 | 47.3 | 65.5110 | |
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| 0.0832 | 1.4669 | 13400 | 1.6353| 28.85 | 47.8 | 67.3570 | |
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| 0.0622 | 1.4778 | 13500 | 1.6117| 28.91 | 46.78 | 69.0680 | |
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| 0.0689 | 1.4888 | 13600 | 1.5919| 31.32 | 47.68 | 64.7006 | |
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| 0.0921 | 1.4997 | 13700 | 1.6180| 30.09 | 46.8 | 66.8167 | |
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| 0.0754 | 1.5107 | 13800 | 1.5755| 30.77 | 47.55 | 64.4755 | |
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| 0.0844 | 1.5216 | 13900 | 1.5681| 31.12 | 48.9 | 64.9707 | |
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| 0.0696 | 1.5326 | 14000 | 1.5481| 31.27 | 49.63 | 64.0252 | |
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| 0.0914 | 1.5435 | 14100 | 1.5603| 29.61 | 47.28 | 65.8262 | |
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| 0.0789 | 1.5545 | 14200 | 1.5896| 31.85 | 48.49 | 62.8546 | |
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| 0.0572 | 1.5654 | 14300 | 1.5931| 27.55 | 46.87 | 69.1580 | |
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| 0.0619 | 1.5764 | 14400 | 1.5988| 28.82 | 46.89 | 66.4566 | |
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| 0.0566 | 1.5873 | 14500 | 1.5838| 29.97 | 48.6 | 66.6817 | |
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| 0.0661 | 1.5982 | 14600 | 1.6447| 30.47 | 46.25 | 65.5561 | |
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| 0.0607 | 1.6092 | 14700 | 1.5621| 32.31 | 48.53 | 63.1247 | |
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| 0.0566 | 1.6201 | 14800 | 1.5838| 31.08 | 49.25 | 66.3665 | |
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| 0.0354 | 1.6311 | 14900 | 1.5723| 30.73 | 48.58 | 66.3215 | |
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| 0.0585 | 1.6420 | 15000 | 1.5825| 29.84 | 47.27 | 66.5466 | |
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| 0.0542 | 1.6530 | 15100 | 1.6012| 28.7 | 47.32 | 69.8784 | |
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| 0.0641 | 1.6639 | 15200 | 1.5662| 28.8 | 47.35 | 67.4021 | |
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| 0.0588 | 1.6749 | 15300 | 1.5596| 30.62 | 47.51 | 65.9613 | |
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| 0.0401 | 1.6858 | 15400 | 1.5719| 30.74 | 48.55 | 66.0513 | |
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| 0.043 | 1.6968 | 15500 | 1.5979| 29.37 | 47.1 | 69.3381 | |
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| 0.0384 | 1.7077 | 15600 | 1.5718| 29.56 | 48.58 | 68.7978 | |
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| 0.0399 | 1.7187 | 15700 | 1.5873| 30.84 | 47.72 | 66.9518 | |
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| 0.0437 | 1.7296 | 15800 | 1.5493| 31.43 | 48.06 | 65.7812 | |
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| 0.0473 | 1.7406 | 15900 | 1.5185| 31.4 | 49.44 | 64.1153 | |
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| 0.0477 | 1.7515 | 16000 | 1.5695| 32.89 | 49.91 | 62.0891 | |
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| 0.0435 | 1.7625 | 16100 | 1.5550| 32.99 | 50.86 | 62.0891 | |
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| 0.0478 | 1.7734 | 16200 | 1.5662| 31.31 | 49.58 | 63.5750 | |
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| 0.0337 | 1.7843 | 16300 | 1.5792| 31.22 | 49.44 | 63.8901 | |
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| 0.0387 | 1.7953 | 16400 | 1.5715| 32.2 | 49.5 | 62.3143 | |
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| 0.0376 | 1.8062 | 16500 | 1.5783| 31.95 | 49.34 | 64.0252 | |
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| 0.0357 | 1.8172 | 16600 | 1.5684| 30.67 | 49.15 | 65.8712 | |
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| 0.028 | 1.8281 | 16700 | 1.5544| 29.78 | 48.23 | 67.5822 | |
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| 0.0185 | 1.8391 | 16800 | 1.5419| 31.16 | 50.1 | 64.0252 | |
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| 0.0408 | 1.8500 | 16900 | 1.5504| 31.25 | 49.53 | 64.6556 | |
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| 0.0259 | 1.8610 | 17000 | 1.5501| 30.73 | 50.13 | 68.3026 | |
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| 0.0276 | 1.8719 | 17100 | 1.5359| 29.97 | 49.96 | 69.0680 | |
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| 0.0201 | 1.8829 | 17200 | 1.5504| 32.06 | 51.35 | 63.2598 | |
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| 0.0268 | 1.8938 | 17300 | 1.5322| 34.47 | 51.53 | 60.0180 | |
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| 0.023 | 1.9048 | 17400 | 1.5407| 34.65 | 52.44 | 59.5678 | |
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| 0.0138 | 1.9157 | 17500 | 1.5653| 33.97 | 51.65 | 61.5038 | |
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| 0.0164 | 1.9267 | 17600 | 1.5470| 32.62 | 50.82 | 64.6556 | |
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| 0.018 | 1.9376 | 17700 | 1.5450| 33.09 | 50.06 | 61.9541 | |
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| 0.0246 | 1.9485 | 17800 | 1.5473| 31.67 | 50.21 | 65.1058 | |
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| 0.0196 | 1.9595 | 17900 | 1.5414| 31.1 | 50.36 | 66.9068 | |
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| 0.0163 | 1.9704 | 18000 | 1.5453| 32.63 | 50.62 | 62.9446 | |
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| 0.018 | 1.9814 | 18100 | 1.5361| 32.99 | 50.91 | 61.2337 | |
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| 0.025 | 1.9923 | 18200 | 1.5394| 33.18 | 50.61 | 61.2787 | |
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| 0.0081 | 2.0033 | 18300 | 1.5481| 33.39 | 50.63 | 61.1436 | |
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| 0.0147 | 2.0142 | 18400 | 1.5500| 33.39 | 51.22 | 61.3688 | |
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| 0.0121 | 2.0252 | 18500 | 1.5515| 32.35 | 50.74 | 62.0441 | |
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| 0.0154 | 2.0361 | 18600 | 1.5524| 31.18 | 50.35 | 66.0964 | |
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| 0.0157 | 2.0471 | 18700 | 1.5585| 31.68 | 50.44 | 65.4660 | |
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| 0.0089 | 2.0580 | 18800 | 1.5559| 33.33 | 50.68 | 61.2337 | |
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| 0.0112 | 2.0690 | 18900 | 1.5552| 31.64 | 50.43 | 65.1959 | |
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| 0.0109 | 2.0799 | 19000 | 1.5548| 31.69 | 50.38 | 64.9707 | |
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### Framework versions |
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|
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- Transformers 4.41.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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