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  1. README.md +59 -59
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4042
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- - Wer Score: 15.0983
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  ## Model description
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@@ -50,67 +50,67 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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- | 7.3155 | 0.3556 | 20 | 6.4604 | 3.3722 |
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- | 5.9348 | 0.7111 | 40 | 5.2200 | 14.8790 |
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- | 4.7759 | 1.0667 | 60 | 4.0161 | 15.3867 |
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- | 3.3568 | 1.4222 | 80 | 2.9613 | 7.8690 |
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- | 2.6044 | 1.7778 | 100 | 2.3516 | 4.0528 |
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- | 2.1117 | 2.1333 | 120 | 2.1860 | 16.4732 |
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- | 1.838 | 2.4889 | 140 | 2.1748 | 11.2939 |
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- | 1.8401 | 2.8444 | 160 | 2.1418 | 14.4823 |
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- | 1.6332 | 3.2 | 180 | 2.1454 | 14.7616 |
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- | 1.3804 | 3.5556 | 200 | 2.1459 | 14.8553 |
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- | 1.5693 | 3.9111 | 220 | 2.1277 | 16.4595 |
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- | 1.3656 | 4.2667 | 240 | 2.1574 | 15.2448 |
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- | 1.2376 | 4.6222 | 260 | 2.1584 | 15.6242 |
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- | 1.3001 | 4.9778 | 280 | 2.1589 | 12.2357 |
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- | 1.0079 | 5.3333 | 300 | 2.1939 | 15.2766 |
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- | 1.0143 | 5.6889 | 320 | 2.1840 | 16.2702 |
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- | 0.9976 | 6.0444 | 340 | 2.1779 | 16.2111 |
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- | 0.899 | 6.4 | 360 | 2.1943 | 14.4659 |
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- | 0.8759 | 6.7556 | 380 | 2.2011 | 18.0337 |
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- | 0.8869 | 7.1111 | 400 | 2.2286 | 15.5560 |
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- | 0.7972 | 7.4667 | 420 | 2.2366 | 18.5387 |
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- | 0.7829 | 7.8222 | 440 | 2.2413 | 18.1720 |
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- | 0.7661 | 8.1778 | 460 | 2.2525 | 13.2266 |
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- | 0.689 | 8.5333 | 480 | 2.2448 | 14.5960 |
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- | 0.6969 | 8.8889 | 500 | 2.2549 | 17.7616 |
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- | 0.6528 | 9.2444 | 520 | 2.2843 | 18.4923 |
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- | 0.6558 | 9.6 | 540 | 2.2773 | 17.1574 |
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- | 0.6453 | 9.9556 | 560 | 2.2923 | 14.8726 |
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- | 0.6141 | 10.3111 | 580 | 2.2979 | 14.7534 |
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- | 0.5993 | 10.6667 | 600 | 2.2998 | 17.1483 |
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- | 0.588 | 11.0222 | 620 | 2.2988 | 15.2857 |
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- | 0.565 | 11.3778 | 640 | 2.3256 | 16.7307 |
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- | 0.5491 | 11.7333 | 660 | 2.3356 | 15.5405 |
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- | 0.547 | 12.0889 | 680 | 2.3307 | 15.6178 |
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- | 0.4664 | 12.4444 | 700 | 2.3277 | 15.9600 |
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- | 0.4958 | 12.8 | 720 | 2.3426 | 16.1638 |
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- | 0.5328 | 13.1556 | 740 | 2.3354 | 15.4850 |
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- | 0.4756 | 13.5111 | 760 | 2.3560 | 15.3139 |
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- | 0.4864 | 13.8667 | 780 | 2.3651 | 15.2975 |
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- | 0.4435 | 14.2222 | 800 | 2.3763 | 16.1665 |
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- | 0.4473 | 14.5778 | 820 | 2.3772 | 16.8772 |
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- | 0.4649 | 14.9333 | 840 | 2.3715 | 15.1638 |
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- | 0.4523 | 15.2889 | 860 | 2.3803 | 15.4422 |
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- | 0.4174 | 15.6444 | 880 | 2.3934 | 15.0491 |
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- | 0.4388 | 16.0 | 900 | 2.3763 | 15.2894 |
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- | 0.4121 | 16.3556 | 920 | 2.3894 | 15.5205 |
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- | 0.406 | 16.7111 | 940 | 2.4043 | 15.0719 |
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- | 0.4198 | 17.0667 | 960 | 2.4004 | 15.0983 |
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- | 0.3716 | 17.4222 | 980 | 2.4057 | 15.0819 |
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- | 0.3669 | 17.7778 | 1000 | 2.3964 | 15.0701 |
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- | 0.3794 | 18.1333 | 1020 | 2.3948 | 15.1729 |
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- | 0.3793 | 18.4889 | 1040 | 2.4001 | 15.0391 |
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- | 0.3461 | 18.8444 | 1060 | 2.3983 | 15.2502 |
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- | 0.3555 | 19.2 | 1080 | 2.4063 | 15.2966 |
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- | 0.3264 | 19.5556 | 1100 | 2.4032 | 15.0655 |
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- | 0.3382 | 19.9111 | 1120 | 2.4042 | 15.0983 |
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  ### Framework versions
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- - Transformers 4.42.4
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8334
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+ - Wer Score: 13.4415
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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+ | 4.3503 | 0.3556 | 20 | 4.0231 | 13.3087 |
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+ | 3.2554 | 0.7111 | 40 | 3.0955 | 14.7696 |
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+ | 2.7452 | 1.0667 | 60 | 2.5707 | 11.9736 |
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+ | 1.916 | 1.4222 | 80 | 2.4606 | 14.1495 |
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+ | 2.0349 | 1.7778 | 100 | 2.4337 | 15.4433 |
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+ | 1.7522 | 2.1333 | 120 | 2.4274 | 13.5215 |
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+ | 1.5496 | 2.4889 | 140 | 2.4298 | 13.0932 |
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+ | 1.554 | 2.8444 | 160 | 2.4232 | 14.4336 |
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+ | 1.3561 | 3.2 | 180 | 2.4537 | 13.2498 |
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+ | 1.2081 | 3.5556 | 200 | 2.4563 | 14.3843 |
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+ | 1.1593 | 3.9111 | 220 | 2.4378 | 14.3703 |
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+ | 1.0503 | 4.2667 | 240 | 2.4849 | 14.6614 |
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+ | 1.0292 | 4.6222 | 260 | 2.4937 | 14.5066 |
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+ | 1.092 | 4.9778 | 280 | 2.4853 | 14.2252 |
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+ | 0.8704 | 5.3333 | 300 | 2.5228 | 13.2709 |
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+ | 0.8933 | 5.6889 | 320 | 2.5363 | 14.3369 |
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+ | 0.8494 | 6.0444 | 340 | 2.5329 | 16.8566 |
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+ | 0.7886 | 6.4 | 360 | 2.5424 | 13.8083 |
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+ | 0.8338 | 6.7556 | 380 | 2.5585 | 13.6931 |
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+ | 0.7756 | 7.1111 | 400 | 2.5856 | 14.4222 |
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+ | 0.6575 | 7.4667 | 420 | 2.5890 | 13.6350 |
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+ | 0.6793 | 7.8222 | 440 | 2.5833 | 14.1258 |
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+ | 0.6439 | 8.1778 | 460 | 2.6046 | 15.0616 |
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+ | 0.597 | 8.5333 | 480 | 2.6183 | 13.7511 |
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+ | 0.6157 | 8.8889 | 500 | 2.6166 | 15.7696 |
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+ | 0.6132 | 9.2444 | 520 | 2.6466 | 17.8857 |
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+ | 0.5666 | 9.6 | 540 | 2.6472 | 16.8452 |
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+ | 0.5691 | 9.9556 | 560 | 2.6456 | 13.7449 |
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+ | 0.529 | 10.3111 | 580 | 2.6676 | 14.5945 |
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+ | 0.5286 | 10.6667 | 600 | 2.6727 | 13.7344 |
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+ | 0.5339 | 11.0222 | 620 | 2.6706 | 14.9833 |
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+ | 0.4967 | 11.3778 | 640 | 2.6928 | 13.9587 |
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+ | 0.459 | 11.7333 | 660 | 2.7035 | 14.5708 |
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+ | 0.5117 | 12.0889 | 680 | 2.7064 | 14.3026 |
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+ | 0.4424 | 12.4444 | 700 | 2.7304 | 14.0836 |
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+ | 0.4829 | 12.8 | 720 | 2.7175 | 14.7573 |
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+ | 0.4308 | 13.1556 | 740 | 2.7129 | 14.5928 |
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+ | 0.3871 | 13.5111 | 760 | 2.7333 | 14.1328 |
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+ | 0.4238 | 13.8667 | 780 | 2.7319 | 14.1759 |
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+ | 0.4141 | 14.2222 | 800 | 2.7605 | 14.0580 |
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+ | 0.3435 | 14.5778 | 820 | 2.7604 | 13.6966 |
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+ | 0.3807 | 14.9333 | 840 | 2.7634 | 13.7836 |
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+ | 0.3293 | 15.2889 | 860 | 2.7802 | 13.9120 |
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+ | 0.3244 | 15.6444 | 880 | 2.7760 | 13.5101 |
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+ | 0.3289 | 16.0 | 900 | 2.7884 | 13.5409 |
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+ | 0.2768 | 16.3556 | 920 | 2.7946 | 13.7801 |
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+ | 0.2825 | 16.7111 | 940 | 2.7988 | 14.1662 |
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+ | 0.3059 | 17.0667 | 960 | 2.8092 | 13.6667 |
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+ | 0.2279 | 17.4222 | 980 | 2.8253 | 13.7704 |
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+ | 0.2283 | 17.7778 | 1000 | 2.8236 | 13.7256 |
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+ | 0.2293 | 18.1333 | 1020 | 2.8174 | 13.1741 |
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+ | 0.1934 | 18.4889 | 1040 | 2.8220 | 13.5479 |
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+ | 0.1927 | 18.8444 | 1060 | 2.8225 | 13.6324 |
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+ | 0.1794 | 19.2 | 1080 | 2.8343 | 13.4195 |
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+ | 0.169 | 19.5556 | 1100 | 2.8345 | 13.3967 |
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+ | 0.1724 | 19.9111 | 1120 | 2.8334 | 13.4415 |
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  ### Framework versions
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+ - Transformers 4.41.2
114
  - Pytorch 2.3.0+cu121
115
  - Datasets 2.20.0
116
  - Tokenizers 0.19.1
config.json CHANGED
@@ -22,7 +22,7 @@
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  "position_embedding_type": "absolute",
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.42.4",
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  "use_cache": true,
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  "vision_config": {
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  "dropout": 0.0,
 
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  "position_embedding_type": "absolute",
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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  "use_cache": true,
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  "vision_config": {
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  "dropout": 0.0,
generation_config.json CHANGED
@@ -3,5 +3,5 @@
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  "bos_token_id": 101,
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  "eos_token_id": 102,
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  "pad_token_id": 0,
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- "transformers_version": "4.42.4"
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  }
 
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  "bos_token_id": 101,
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  "eos_token_id": 102,
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  "pad_token_id": 0,
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+ "transformers_version": "4.41.2"
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:f043021029c626f1b412ec1cdab056a8b07148042d3ba0d4050b7710a49f8429
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  size 706516040
 
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+ oid sha256:b4d989efd9b066ace2c15f62a050a2049fba3c7984ca59559739a9c69a9c775b
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  size 706516040
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:c1744811e6c2a89fa3e5af3d4b8552560607c2d9da855629df82eb11dc066802
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- size 5176
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:4bd984a5a21fef4e1df1f4a378af4a4a61caa38a5ea60eefb784efeedb6522fc
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+ size 5112