Instructions to use taiypeo/bart-large-wikilarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taiypeo/bart-large-wikilarge with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-wikilarge") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-wikilarge") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +62 -102
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.06
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step |
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| 1.0322 | 5.2899 | 49000 | 0.9034 | 37.1024| 4.1638 | 77.1984 | 29.945 | 8.3876 | 91.9808 |
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| 1.0335 | 5.3978 | 50000 | 0.8982 | 37.0857| 4.0425 | 77.1286 | 30.086 | 8.3668 | 91.9918 |
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| 1.0305 | 5.5058 | 51000 | 0.9029 | 37.3842| 4.25 | 76.6683 | 31.2344 | 8.2457 | 91.2633 |
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| 1.0411 | 5.6137 | 52000 | 0.9058 | 37.431 | 4.3543 | 77.4162 | 30.5225 | 8.4245 | 91.8293 |
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| 1.0387 | 5.7217 | 53000 | 0.9034 | 36.9315| 3.9153 | 77.3571 | 29.5222 | 8.4376 | 92.1902 |
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| 1.0379 | 5.8296 | 54000 | 0.9021 | 36.8809| 3.9185 | 77.6108 | 29.1134 | 8.4887 | 92.6578 |
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| 1.0446 | 5.9376 | 55000 | 0.9062 | 37.5142| 4.2507 | 76.6914 | 31.6004 | 8.1979 | 91.3358 |
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| 1.0264 | 6.0456 | 56000 | 0.9093 | 37.4247| 4.2504 | 77.0639 | 30.9597 | 8.3233 | 91.6022 |
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| 0.9961 | 6.1535 | 57000 | 0.9059 | 37.1979| 4.2467 | 77.3738 | 29.9731 | 8.4179 | 92.1234 |
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| 1.0058 | 6.2615 | 58000 | 0.9083 | 37.1422| 4.2473 | 77.1172 | 30.0621 | 8.3875 | 92.0577 |
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| 1.0125 | 6.3694 | 59000 | 0.9069 | 37.2684| 4.2816 | 77.3059 | 30.2178 | 8.407 | 91.9613 |
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| 1.0067 | 6.4774 | 60000 | 0.9119 | 37.6673| 4.4573 | 77.303 | 31.2414 | 8.3735 | 91.7766 |
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| 1.0001 | 6.5853 | 61000 | 0.9073 | 37.5143| 4.4043 | 77.2634 | 30.8752 | 8.3687 | 91.6781 |
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| 0.9939 | 6.6933 | 62000 | 0.9160 | 37.7067| 4.5106 | 77.1314 | 31.4782 | 8.3577 | 91.3992 |
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| 1.0078 | 6.8013 | 63000 | 0.9051 | 37.3899| 4.2385 | 77.3884 | 30.5427 | 8.3907 | 91.9611 |
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| 1.0101 | 6.9092 | 64000 | 0.9116 | 37.6115| 4.3979 | 76.6152 | 31.8215 | 8.2645 | 90.9276 |
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| 1.0001 | 7.0172 | 65000 | 0.9215 | 38.1543| 4.8514 | 76.7861 | 32.8253 | 8.2451 | 90.3841 |
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| 0.9807 | 7.1251 | 66000 | 0.9202 | 37.9333| 4.6638 | 76.4918 | 32.6442 | 8.1644 | 90.6508 |
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| 0.9756 | 7.2331 | 67000 | 0.9211 | 38.135 | 4.762 | 76.8592 | 32.7839 | 8.2572 | 90.5125 |
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| 0.97 | 7.3410 | 68000 | 0.9224 | 37.8776| 4.6643 | 76.5491 | 32.4195 | 8.2519 | 90.4702 |
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| 0.9754 | 7.4490 | 69000 | 0.9196 | 38.1794| 4.8407 | 76.6634 | 33.0342 | 8.1918 | 90.4497 |
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| 0.9774 | 7.5569 | 70000 | 0.9176 | 37.9965| 4.6706 | 76.7535 | 32.5653 | 8.2387 | 90.7057 |
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| 0.9803 | 7.6649 | 71000 | 0.9170 | 37.9043| 4.6704 | 77.0755 | 31.967 | 8.275 | 91.2431 |
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| 0.9838 | 7.7729 | 72000 | 0.9154 | 37.6198| 4.5037 | 76.6679 | 31.6878 | 8.25 | 90.9728 |
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| 0.977 | 7.8808 | 73000 | 0.9175 | 38.0488| 4.8356 | 76.5702 | 32.7407 | 8.2145 | 90.6364 |
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| 0.9818 | 7.9888 | 74000 | 0.9200 | 38.0107| 4.7917 | 76.6851 | 32.5554 | 8.2436 | 90.5721 |
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| 0.9692 | 8.0967 | 75000 | 0.9193 | 37.7309| 4.5347 | 76.774 | 31.8841 | 8.239 | 91.0424 |
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| 0.9534 | 8.2047 | 76000 | 0.9250 | 37.6808| 4.5171 | 76.9144 | 31.6108 | 8.3268 | 90.9799 |
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| 0.9624 | 8.3126 | 77000 | 0.9251 | 38.0457| 4.7157 | 76.8543 | 32.5672 | 8.2585 | 90.7769 |
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| 0.9621 | 8.4206 | 78000 | 0.9224 | 38.0969| 4.7816 | 76.7323 | 32.7768 | 8.2099 | 90.7299 |
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| 0.9599 | 8.5286 | 79000 | 0.9249 | 37.8321| 4.6686 | 77.1811 | 31.6465 | 8.3295 | 91.3625 |
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| 0.9548 | 8.6365 | 80000 | 0.9269 | 38.1917| 4.9145 | 76.8218 | 32.8389 | 8.1997 | 90.72 |
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| 0.9608 | 8.7445 | 81000 | 0.9259 | 37.8958| 4.6665 | 76.9134 | 32.1075 | 8.2948 | 90.9334 |
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| 0.9618 | 8.8524 | 82000 | 0.9273 | 38.0048| 4.7023 | 76.9661 | 32.346 | 8.2699 | 90.8497 |
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| 0.9581 | 8.9604 | 83000 | 0.9294 | 38.2991| 4.9598 | 76.636 | 33.3016 | 8.1776 | 90.2476 |
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| 0.9505 | 9.0683 | 84000 | 0.9283 | 38.4052| 5.0305 | 76.878 | 33.3072 | 8.1979 | 90.4729 |
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| 0.9425 | 9.1763 | 85000 | 0.9269 | 38.2631| 4.8725 | 76.7421 | 33.1748 | 8.1872 | 90.6041 |
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| 0.9443 | 9.2842 | 86000 | 0.9270 | 38.1113| 4.8025 | 76.8202 | 32.7111 | 8.2668 | 90.6159 |
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| 0.9424 | 9.3922 | 87000 | 0.9280 | 38.1005| 4.8446 | 76.7846 | 32.6724 | 8.2685 | 90.6664 |
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| 0.9617 | 9.5002 | 88000 | 0.9296 | 38.2891| 4.9782 | 76.612 | 33.2772 | 8.2122 | 90.4614 |
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| 0.9463 | 9.6081 | 89000 | 0.9306 | 38.1982| 4.9246 | 76.6502 | 33.0198 | 8.2392 | 90.4594 |
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| 0.9391 | 9.7161 | 90000 | 0.9281 | 38.2458| 4.8975 | 76.6924 | 33.1476 | 8.2006 | 90.5751 |
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| 0.9526 | 9.8240 | 91000 | 0.9281 | 38.155 | 4.8996 | 76.5655 | 33.0 | 8.2088 | 90.4199 |
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| 0.9436 | 9.9320 | 92000 | 0.9284 | 38.1475| 4.868 | 76.6015 | 32.973 | 8.2083 | 90.4553 |
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9051
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- Sari: 37.0457
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- Paper Sari: 37.1345
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- Sari Add: 4.1443
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- Sari Keep: 77.5177
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- Sari Del: 29.475
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- Paper Sari Add: 4.1443
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- Paper Sari Keep: 77.7084
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- Paper Sari Del: 29.5508
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- Fkgl: 8.4619
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- Bleu: 92.6286
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.06
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Sari | Paper Sari | Sari Add | Sari Keep | Sari Del | Paper Sari Add | Paper Sari Keep | Paper Sari Del | Fkgl | Bleu |
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| 2.0874 | 0.1080 | 1000 | 0.9401 | 31.9299 | 32.0978 | 0.5451 | 77.7799 | 17.4648 | 0.5456 | 78.1089 | 17.6388 | 8.868 | 96.2302 |
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| 1.5465 | 0.2159 | 2000 | 0.8906 | 31.4483 | 31.5849 | 0.7191 | 78.6496 | 14.9763 | 0.7195 | 78.9791 | 15.056 | 9.0121 | 96.5849 |
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| 1.4814 | 0.3239 | 3000 | 0.8681 | 31.2134 | 31.3383 | 0.9158 | 79.1129 | 13.6116 | 0.9163 | 79.4448 | 13.6539 | 9.1436 | 97.0903 |
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| 1.4484 | 0.4318 | 4000 | 0.8677 | 31.4137 | 31.5424 | 0.9679 | 79.2607 | 14.0123 | 0.9683 | 79.5972 | 14.0619 | 9.133 | 97.3217 |
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| 1.4237 | 0.5398 | 5000 | 0.8712 | 32.6532 | 32.7787 | 1.3592 | 78.7355 | 17.8648 | 1.3601 | 79.0417 | 17.9343 | 8.9947 | 96.5928 |
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| 1.4088 | 0.6477 | 6000 | 0.8711 | 33.8505 | 33.9891 | 1.6794 | 77.7335 | 22.1385 | 1.6804 | 78.0123 | 22.2745 | 8.7814 | 95.2315 |
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| 1.3827 | 0.7557 | 7000 | 0.8577 | 33.4554 | 33.5788 | 1.8273 | 78.6389 | 19.8999 | 1.8278 | 78.9318 | 19.9767 | 8.9175 | 96.2523 |
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| 1.3724 | 0.8637 | 8000 | 0.8546 | 33.9822 | 34.1092 | 1.9029 | 78.1136 | 21.93 | 1.9038 | 78.3902 | 22.0335 | 8.8339 | 95.6744 |
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| 1.3765 | 0.9716 | 9000 | 0.8560 | 34.3858 | 34.5199 | 2.0618 | 77.5883 | 23.5074 | 2.0627 | 77.8534 | 23.6436 | 8.7336 | 94.8992 |
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| 1.3394 | 1.0796 | 10000 | 0.8543 | 33.9466 | 34.0591 | 2.2936 | 78.893 | 20.6532 | 2.2939 | 79.1763 | 20.7072 | 8.8746 | 95.9382 |
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| 1.3215 | 1.1875 | 11000 | 0.8586 | 34.8154 | 34.9403 | 2.5226 | 77.7114 | 24.2122 | 2.5232 | 77.967 | 24.3307 | 8.6369 | 94.8519 |
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| 1.3201 | 1.2955 | 12000 | 0.8635 | 35.0642 | 35.1821 | 2.6475 | 77.9966 | 24.5485 | 2.648 | 78.2487 | 24.6497 | 8.6923 | 94.8076 |
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| 1.305 | 1.4034 | 13000 | 0.8538 | 34.3125 | 34.4191 | 2.5477 | 78.9463 | 21.4435 | 2.548 | 79.2199 | 21.4895 | 8.8855 | 95.7623 |
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| 1.3007 | 1.5114 | 14000 | 0.8594 | 35.2924 | 35.4213 | 2.6975 | 77.1695 | 26.0102 | 2.698 | 77.4097 | 26.1563 | 8.5157 | 93.9044 |
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| 1.2941 | 1.6193 | 15000 | 0.8670 | 35.1955 | 35.3046 | 2.9201 | 78.0836 | 24.5827 | 2.9204 | 78.3297 | 24.6637 | 8.6739 | 94.4185 |
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| 1.2843 | 1.7273 | 16000 | 0.8618 | 34.7826 | 34.9015 | 2.5214 | 78.3308 | 23.4956 | 2.5216 | 78.5955 | 23.5875 | 8.7743 | 95.1965 |
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| 1.2845 | 1.8353 | 17000 | 0.8661 | 34.4209 | 34.5391 | 2.2746 | 78.1474 | 22.8407 | 2.275 | 78.4122 | 22.9303 | 8.7781 | 95.3004 |
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| 1.2752 | 1.9432 | 18000 | 0.8763 | 35.4414 | 35.5519 | 2.9318 | 78.0589 | 25.3335 | 2.9321 | 78.3016 | 25.422 | 8.6975 | 94.5009 |
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| 1.2275 | 2.0512 | 19000 | 0.8691 | 35.6042 | 35.7092 | 3.2336 | 78.0741 | 25.5048 | 3.2338 | 78.3111 | 25.5826 | 8.6568 | 94.5273 |
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| 1.212 | 2.1591 | 20000 | 0.8709 | 35.7725 | 35.8786 | 3.1674 | 77.5545 | 26.5955 | 3.1677 | 77.7781 | 26.6901 | 8.5776 | 93.7323 |
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| 1.2132 | 2.2671 | 21000 | 0.8662 | 34.9038 | 35.0133 | 2.7852 | 78.5778 | 23.3486 | 2.7853 | 78.8389 | 23.4158 | 8.81 | 95.2465 |
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| 1.2052 | 2.3750 | 22000 | 0.8707 | 35.4538 | 35.5547 | 3.1225 | 78.438 | 24.801 | 3.1226 | 78.6803 | 24.8613 | 8.7035 | 94.7578 |
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| 1.2175 | 2.4830 | 23000 | 0.8745 | 35.6625 | 35.7636 | 3.2546 | 78.2719 | 25.4612 | 3.2548 | 78.5084 | 25.5276 | 8.6879 | 94.7659 |
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| 1.2014 | 2.5910 | 24000 | 0.8725 | 35.6727 | 35.779 | 3.0206 | 77.7743 | 26.2232 | 3.0209 | 78.0033 | 26.313 | 8.5494 | 93.8561 |
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| 1.195 | 2.6989 | 25000 | 0.8726 | 35.7564 | 35.8621 | 3.12 | 77.9879 | 26.1613 | 3.1202 | 78.2202 | 26.246 | 8.596 | 93.9884 |
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| 1.2045 | 2.8069 | 26000 | 0.8702 | 35.579 | 35.6877 | 3.0601 | 77.8844 | 25.7926 | 3.0603 | 78.1198 | 25.883 | 8.6031 | 94.1975 |
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| 1.1882 | 2.9148 | 27000 | 0.8659 | 35.1077 | 35.2157 | 2.9039 | 78.3907 | 24.0286 | 2.9041 | 78.6437 | 24.0993 | 8.7458 | 94.7959 |
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| 1.1946 | 3.0228 | 28000 | 0.8895 | 36.2244 | 36.3277 | 3.4612 | 77.5469 | 27.6651 | 3.4613 | 77.7619 | 27.7599 | 8.5522 | 93.2346 |
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| 1.1346 | 3.1307 | 29000 | 0.8777 | 36.4978 | 36.5959 | 3.6593 | 77.8239 | 28.0103 | 3.6594 | 78.0366 | 28.0917 | 8.5201 | 93.3092 |
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| 1.1325 | 3.2387 | 30000 | 0.8841 | 35.8627 | 35.9653 | 3.3274 | 77.7601 | 26.5006 | 3.3275 | 77.9843 | 26.5841 | 8.5529 | 93.4478 |
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| 1.1345 | 3.3466 | 31000 | 0.8774 | 36.0619 | 36.159 | 3.4726 | 77.8183 | 26.8947 | 3.4728 | 78.0361 | 26.9679 | 8.5371 | 93.6775 |
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| 1.1456 | 3.4546 | 32000 | 0.8806 | 36.154 | 36.258 | 3.3219 | 77.7428 | 27.3972 | 3.3221 | 77.9628 | 27.4892 | 8.5411 | 93.3262 |
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| 1.1239 | 3.5626 | 33000 | 0.8762 | 36.2594 | 36.3554 | 3.5953 | 77.9167 | 27.2661 | 3.5955 | 78.1329 | 27.3379 | 8.5613 | 93.631 |
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| 1.1227 | 3.6705 | 34000 | 0.8809 | 35.6 | 35.7039 | 3.1605 | 78.0969 | 25.5426 | 3.1606 | 78.3333 | 25.6179 | 8.687 | 94.0505 |
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| 1.1413 | 3.7785 | 35000 | 0.8794 | 36.6955 | 36.7995 | 3.708 | 77.1888 | 29.1897 | 3.7082 | 77.3896 | 29.3007 | 8.4227 | 92.7837 |
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| 1.1423 | 3.8864 | 36000 | 0.8956 | 36.1318 | 36.2347 | 3.3576 | 77.581 | 27.4568 | 3.3578 | 77.7975 | 27.5488 | 8.5717 | 93.1018 |
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| 1.1339 | 3.9944 | 37000 | 0.8829 | 36.4258 | 36.5211 | 3.6958 | 77.4683 | 28.1132 | 3.696 | 77.6717 | 28.1957 | 8.5213 | 92.9871 |
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| 1.0747 | 4.1023 | 38000 | 0.9051 | 37.0457 | 37.1345 | 4.1443 | 77.5177 | 29.475 | 4.1443 | 77.7084 | 29.5508 | 8.4619 | 92.6286 |
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| 1.0711 | 4.2103 | 39000 | 0.8930 | 36.2805 | 36.3798 | 3.5565 | 78.0056 | 27.2794 | 3.5565 | 78.2265 | 27.3563 | 8.611 | 93.7963 |
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| 1.0785 | 4.3183 | 40000 | 0.8929 | 36.618 | 36.7162 | 3.6923 | 77.392 | 28.7699 | 3.6924 | 77.5932 | 28.8631 | 8.4574 | 92.7116 |
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+
| 1.0818 | 4.4262 | 41000 | 0.8896 | 36.8682 | 36.9674 | 3.8285 | 77.4044 | 29.3716 | 3.8286 | 77.6034 | 29.4702 | 8.4212 | 92.9933 |
|
| 106 |
+
| 1.0811 | 4.5342 | 42000 | 0.9119 | 36.7358 | 36.8258 | 3.888 | 77.669 | 28.6503 | 3.8881 | 77.8679 | 28.7214 | 8.484 | 92.7557 |
|
| 107 |
+
| 1.0872 | 4.6421 | 43000 | 0.8924 | 36.3606 | 36.46 | 3.5563 | 77.7412 | 27.7843 | 3.5564 | 77.9549 | 27.8688 | 8.512 | 93.3203 |
|
| 108 |
+
| 1.0968 | 4.7501 | 44000 | 0.8921 | 36.4742 | 36.5676 | 3.735 | 77.7654 | 27.9221 | 3.7352 | 77.9725 | 27.995 | 8.5476 | 93.3622 |
|
| 109 |
+
| 1.0835 | 4.8580 | 45000 | 0.9040 | 36.7224 | 36.8112 | 4.053 | 77.4397 | 28.6746 | 4.0531 | 77.6335 | 28.747 | 8.5208 | 92.7691 |
|
| 110 |
+
| 1.0895 | 4.9660 | 46000 | 0.8906 | 36.706 | 36.7989 | 3.9402 | 77.6053 | 28.5724 | 3.9404 | 77.8063 | 28.6501 | 8.5282 | 93.1717 |
|
| 111 |
+
| 1.0533 | 5.0740 | 47000 | 0.9085 | 36.4749 | 36.5574 | 3.8835 | 78.1434 | 27.3978 | 3.8837 | 78.3486 | 27.4398 | 8.6253 | 93.4822 |
|
| 112 |
+
| 1.027 | 5.1819 | 48000 | 0.9055 | 36.7132 | 36.8084 | 3.7814 | 77.1845 | 29.1737 | 3.7815 | 77.3773 | 29.2664 | 8.4275 | 92.3575 |
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| 113 |
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| 114 |
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| 115 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625426996
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62214ba52542233e284e2311382c5e13ae60e8f5311fb6228a307e438eb6a719
|
| 3 |
size 1625426996
|