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metal-graphcodebert-base-ls-ibn-only
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.3546
- Accuracy: 0.7957
- Text Start Acc: 0.8747
- Text End Acc: 0.8472
- Code Start Acc: 0.7802
- Code End Acc: 0.7566
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | Text Start Acc | Text End Acc | Code Start Acc | Code End Acc |
---|---|---|---|---|---|---|---|---|
7.8216 | 0.02 | 100 | 6.3646 | 0.4383 | 0.0967 | 0.0824 | 0.5838 | 0.5838 |
6.3558 | 0.04 | 200 | 6.1232 | 0.4558 | 0.1879 | 0.1014 | 0.5844 | 0.5868 |
6.0508 | 0.06 | 300 | 5.9067 | 0.4745 | 0.2566 | 0.1787 | 0.5792 | 0.5841 |
5.7169 | 0.08 | 400 | 5.7086 | 0.5068 | 0.3118 | 0.2549 | 0.6036 | 0.5963 |
5.2796 | 0.1 | 500 | 5.6544 | 0.5032 | 0.3594 | 0.3135 | 0.5701 | 0.5753 |
4.8897 | 0.12 | 600 | 5.5094 | 0.5276 | 0.4190 | 0.3496 | 0.5943 | 0.5804 |
4.6792 | 0.14 | 700 | 5.6578 | 0.4949 | 0.4401 | 0.3540 | 0.5388 | 0.5326 |
4.574 | 0.16 | 800 | 5.6680 | 0.5019 | 0.4700 | 0.4095 | 0.5182 | 0.5374 |
4.3534 | 0.19 | 900 | 5.5330 | 0.5244 | 0.4997 | 0.4442 | 0.5278 | 0.5648 |
4.201 | 0.21 | 1000 | 5.4205 | 0.5587 | 0.5317 | 0.4881 | 0.5677 | 0.5905 |
4.0547 | 0.23 | 1100 | 5.5041 | 0.5363 | 0.5905 | 0.5204 | 0.5211 | 0.5356 |
3.9951 | 0.25 | 1200 | 5.5359 | 0.5534 | 0.6181 | 0.5609 | 0.5543 | 0.5224 |
3.8484 | 0.27 | 1300 | 5.3455 | 0.5927 | 0.6590 | 0.5875 | 0.5762 | 0.5838 |
3.7509 | 0.29 | 1400 | 5.4124 | 0.5775 | 0.6654 | 0.6038 | 0.5627 | 0.5447 |
3.7636 | 0.31 | 1500 | 5.3803 | 0.6136 | 0.7005 | 0.6161 | 0.6095 | 0.5803 |
3.628 | 0.33 | 1600 | 5.4425 | 0.5827 | 0.6869 | 0.6321 | 0.5554 | 0.5458 |
3.5948 | 0.35 | 1700 | 5.6139 | 0.5801 | 0.7195 | 0.6705 | 0.5404 | 0.5239 |
3.5385 | 0.37 | 1800 | 5.4402 | 0.6062 | 0.7195 | 0.6651 | 0.5904 | 0.5502 |
3.4596 | 0.39 | 1900 | 5.2674 | 0.6622 | 0.7631 | 0.7066 | 0.6355 | 0.6281 |
3.4023 | 0.41 | 2000 | 5.1996 | 0.6666 | 0.7509 | 0.7073 | 0.6453 | 0.6357 |
3.3846 | 0.43 | 2100 | 5.4084 | 0.6380 | 0.7737 | 0.7209 | 0.5952 | 0.5895 |
3.3297 | 0.45 | 2200 | 5.4272 | 0.6569 | 0.7730 | 0.7263 | 0.6279 | 0.6085 |
3.3595 | 0.47 | 2300 | 5.4141 | 0.6810 | 0.7682 | 0.7029 | 0.6683 | 0.6483 |
3.2601 | 0.49 | 2400 | 5.3889 | 0.6915 | 0.7886 | 0.7332 | 0.6638 | 0.6612 |
3.3156 | 0.51 | 2500 | 5.2700 | 0.6973 | 0.7859 | 0.7543 | 0.6781 | 0.6558 |
3.2684 | 0.53 | 2600 | 5.4825 | 0.6572 | 0.7961 | 0.7423 | 0.6210 | 0.5999 |
3.2223 | 0.56 | 2700 | 5.2294 | 0.7173 | 0.7999 | 0.7590 | 0.7064 | 0.6764 |
3.2075 | 0.58 | 2800 | 5.6068 | 0.6438 | 0.8060 | 0.7621 | 0.5911 | 0.5794 |
3.1967 | 0.6 | 2900 | 5.3164 | 0.6852 | 0.7995 | 0.7570 | 0.6501 | 0.6425 |
3.1862 | 0.62 | 3000 | 5.6059 | 0.6510 | 0.8230 | 0.7815 | 0.5865 | 0.5894 |
3.1539 | 0.64 | 3100 | 5.2614 | 0.7168 | 0.8176 | 0.7658 | 0.7033 | 0.6678 |
3.1001 | 0.66 | 3200 | 5.5935 | 0.6667 | 0.8189 | 0.7682 | 0.6271 | 0.6003 |
3.1314 | 0.68 | 3300 | 5.5851 | 0.6827 | 0.8295 | 0.7856 | 0.6449 | 0.6165 |
3.0924 | 0.7 | 3400 | 5.3326 | 0.7068 | 0.8216 | 0.7634 | 0.6741 | 0.6680 |
3.0825 | 0.72 | 3500 | 5.4707 | 0.6857 | 0.8230 | 0.7856 | 0.6538 | 0.6185 |
3.0767 | 0.74 | 3600 | 5.1901 | 0.7364 | 0.8383 | 0.7788 | 0.7125 | 0.7003 |
3.0618 | 0.76 | 3700 | 5.4863 | 0.6890 | 0.8319 | 0.7828 | 0.6619 | 0.6172 |
3.0166 | 0.78 | 3800 | 5.3479 | 0.7308 | 0.8302 | 0.7934 | 0.7101 | 0.6841 |
3.0111 | 0.8 | 3900 | 5.5386 | 0.6799 | 0.8312 | 0.7968 | 0.6239 | 0.6242 |
3.0172 | 0.82 | 4000 | 5.3829 | 0.7130 | 0.8349 | 0.7985 | 0.6852 | 0.6541 |
2.9713 | 0.84 | 4100 | 5.4616 | 0.7074 | 0.8288 | 0.7869 | 0.6702 | 0.6609 |
2.9885 | 0.86 | 4200 | 5.3069 | 0.7394 | 0.8404 | 0.7975 | 0.7104 | 0.7020 |
2.99 | 0.88 | 4300 | 5.6059 | 0.6981 | 0.8479 | 0.8063 | 0.6605 | 0.6280 |
2.9695 | 0.9 | 4400 | 5.2023 | 0.7438 | 0.8465 | 0.8039 | 0.7302 | 0.6895 |
2.9408 | 0.93 | 4500 | 5.4110 | 0.7148 | 0.8353 | 0.7764 | 0.6845 | 0.6690 |
2.9897 | 0.95 | 4600 | 5.4082 | 0.7059 | 0.8393 | 0.7907 | 0.6661 | 0.6548 |
2.9272 | 0.97 | 4700 | 5.6034 | 0.7008 | 0.8404 | 0.8022 | 0.6641 | 0.6371 |
2.8985 | 0.99 | 4800 | 5.3913 | 0.7160 | 0.8468 | 0.8074 | 0.6837 | 0.6557 |
2.8482 | 1.01 | 4900 | 5.4566 | 0.7213 | 0.8502 | 0.8050 | 0.6905 | 0.6635 |
2.8106 | 1.03 | 5000 | 5.4727 | 0.7278 | 0.8465 | 0.8189 | 0.6947 | 0.6733 |
2.8389 | 1.05 | 5100 | 5.3628 | 0.7390 | 0.8400 | 0.8155 | 0.7265 | 0.6774 |
2.7929 | 1.07 | 5200 | 5.2926 | 0.7559 | 0.8410 | 0.8114 | 0.7349 | 0.7183 |
2.7717 | 1.09 | 5300 | 5.3536 | 0.7430 | 0.8428 | 0.8074 | 0.7132 | 0.7044 |
2.8309 | 1.11 | 5400 | 5.4982 | 0.7359 | 0.8363 | 0.7995 | 0.7157 | 0.6878 |
2.7942 | 1.13 | 5500 | 5.3597 | 0.7445 | 0.8451 | 0.8063 | 0.7245 | 0.6967 |
2.7829 | 1.15 | 5600 | 5.5317 | 0.7325 | 0.8438 | 0.8142 | 0.7143 | 0.6702 |
2.7695 | 1.17 | 5700 | 5.3314 | 0.7678 | 0.8598 | 0.8155 | 0.7579 | 0.7193 |
2.7708 | 1.19 | 5800 | 5.4218 | 0.7390 | 0.8526 | 0.8060 | 0.7148 | 0.6878 |
2.7922 | 1.21 | 5900 | 5.4157 | 0.7420 | 0.8475 | 0.8179 | 0.7180 | 0.6903 |
2.7567 | 1.23 | 6000 | 5.4147 | 0.7497 | 0.8567 | 0.8240 | 0.7233 | 0.7004 |
2.7675 | 1.25 | 6100 | 5.4131 | 0.7537 | 0.8581 | 0.8319 | 0.7402 | 0.6910 |
2.7764 | 1.27 | 6200 | 5.3873 | 0.7501 | 0.8625 | 0.8274 | 0.7082 | 0.7129 |
2.7573 | 1.3 | 6300 | 5.5479 | 0.7249 | 0.8581 | 0.8237 | 0.6741 | 0.6790 |
2.77 | 1.32 | 6400 | 5.5194 | 0.7247 | 0.8581 | 0.8237 | 0.6825 | 0.6700 |
2.7233 | 1.34 | 6500 | 5.3616 | 0.7584 | 0.8533 | 0.8162 | 0.7412 | 0.7119 |
2.7425 | 1.36 | 6600 | 5.4828 | 0.7265 | 0.8570 | 0.8247 | 0.6913 | 0.6662 |
2.7307 | 1.38 | 6700 | 5.2346 | 0.7764 | 0.8604 | 0.8199 | 0.7617 | 0.7379 |
2.726 | 1.4 | 6800 | 5.2884 | 0.7751 | 0.8622 | 0.8244 | 0.7627 | 0.7307 |
2.7359 | 1.42 | 6900 | 5.2998 | 0.7657 | 0.8608 | 0.8257 | 0.7362 | 0.7304 |
2.737 | 1.44 | 7000 | 5.4230 | 0.7446 | 0.8625 | 0.8220 | 0.7166 | 0.6912 |
2.7157 | 1.46 | 7100 | 5.4631 | 0.7475 | 0.8519 | 0.8281 | 0.7288 | 0.6891 |
2.7361 | 1.48 | 7200 | 5.5438 | 0.7331 | 0.8683 | 0.8325 | 0.6886 | 0.6797 |
2.7007 | 1.5 | 7300 | 5.4283 | 0.7472 | 0.8625 | 0.8346 | 0.7177 | 0.6922 |
2.7003 | 1.52 | 7400 | 5.5048 | 0.7384 | 0.8652 | 0.8179 | 0.7058 | 0.6848 |
2.7237 | 1.54 | 7500 | 5.4294 | 0.7652 | 0.8560 | 0.8366 | 0.7446 | 0.7180 |
2.6803 | 1.56 | 7600 | 5.4525 | 0.7538 | 0.8604 | 0.8182 | 0.7298 | 0.7065 |
2.689 | 1.58 | 7700 | 5.5552 | 0.7426 | 0.8591 | 0.8302 | 0.7106 | 0.6895 |
2.7019 | 1.6 | 7800 | 5.4872 | 0.7570 | 0.8639 | 0.8387 | 0.7339 | 0.7015 |
2.7033 | 1.62 | 7900 | 5.3368 | 0.7593 | 0.8673 | 0.8366 | 0.7331 | 0.7084 |
2.6944 | 1.64 | 8000 | 5.4693 | 0.7504 | 0.8618 | 0.8312 | 0.7169 | 0.7037 |
2.689 | 1.67 | 8100 | 5.4700 | 0.7630 | 0.8639 | 0.8332 | 0.7413 | 0.7133 |
2.6765 | 1.69 | 8200 | 5.4433 | 0.7703 | 0.8690 | 0.8288 | 0.7480 | 0.7271 |
2.6535 | 1.71 | 8300 | 5.3406 | 0.7759 | 0.8652 | 0.8165 | 0.7667 | 0.7309 |
2.6437 | 1.73 | 8400 | 5.5779 | 0.7390 | 0.8635 | 0.8220 | 0.7065 | 0.6849 |
2.664 | 1.75 | 8500 | 5.5064 | 0.7378 | 0.8639 | 0.8254 | 0.7182 | 0.6683 |
2.6683 | 1.77 | 8600 | 5.3742 | 0.7748 | 0.8615 | 0.8233 | 0.7571 | 0.7360 |
2.6752 | 1.79 | 8700 | 5.5185 | 0.7537 | 0.8669 | 0.8251 | 0.7287 | 0.7018 |
2.6432 | 1.81 | 8800 | 5.4709 | 0.7680 | 0.8642 | 0.8281 | 0.7529 | 0.7177 |
2.6465 | 1.83 | 8900 | 5.6372 | 0.7436 | 0.8615 | 0.8251 | 0.7177 | 0.6862 |
2.6388 | 1.85 | 9000 | 5.4166 | 0.7579 | 0.8567 | 0.8285 | 0.7412 | 0.7040 |
2.6946 | 1.87 | 9100 | 5.3870 | 0.7670 | 0.8676 | 0.8315 | 0.7413 | 0.7237 |
2.628 | 1.89 | 9200 | 5.5029 | 0.7608 | 0.8710 | 0.8322 | 0.7295 | 0.7165 |
2.6517 | 1.91 | 9300 | 5.4448 | 0.7805 | 0.8724 | 0.8410 | 0.7626 | 0.7349 |
2.6379 | 1.93 | 9400 | 5.4567 | 0.7554 | 0.8683 | 0.8414 | 0.7332 | 0.6947 |
2.6201 | 1.95 | 9500 | 5.4436 | 0.7641 | 0.8700 | 0.8400 | 0.7353 | 0.7169 |
2.6512 | 1.97 | 9600 | 5.4353 | 0.7686 | 0.8751 | 0.8346 | 0.7531 | 0.7122 |
2.6727 | 1.99 | 9700 | 5.2713 | 0.7946 | 0.8761 | 0.8373 | 0.7779 | 0.7595 |
2.554 | 2.01 | 9800 | 5.3572 | 0.7839 | 0.8754 | 0.8434 | 0.7612 | 0.7437 |
2.5699 | 2.04 | 9900 | 5.4009 | 0.7846 | 0.8747 | 0.8414 | 0.7644 | 0.7434 |
2.5355 | 2.06 | 10000 | 5.4402 | 0.7713 | 0.8788 | 0.8479 | 0.7439 | 0.7220 |
2.5418 | 2.08 | 10100 | 5.4777 | 0.7747 | 0.8775 | 0.8417 | 0.7497 | 0.7290 |
2.5556 | 2.1 | 10200 | 5.3495 | 0.7935 | 0.8785 | 0.8434 | 0.7652 | 0.7656 |
2.5377 | 2.12 | 10300 | 5.4149 | 0.7840 | 0.8799 | 0.8482 | 0.7643 | 0.7369 |
2.5699 | 2.14 | 10400 | 5.3084 | 0.7955 | 0.8730 | 0.8393 | 0.7850 | 0.7554 |
2.5618 | 2.16 | 10500 | 5.3421 | 0.7934 | 0.8788 | 0.8445 | 0.7775 | 0.7524 |
2.5152 | 2.18 | 10600 | 5.3463 | 0.7903 | 0.8696 | 0.8356 | 0.7791 | 0.7495 |
2.5413 | 2.2 | 10700 | 5.3624 | 0.7868 | 0.8707 | 0.8325 | 0.7714 | 0.7481 |
2.504 | 2.22 | 10800 | 5.4430 | 0.7808 | 0.8768 | 0.8356 | 0.7572 | 0.7414 |
2.5583 | 2.24 | 10900 | 5.3649 | 0.7884 | 0.8741 | 0.8359 | 0.7662 | 0.7551 |
2.5226 | 2.26 | 11000 | 5.4187 | 0.7750 | 0.8747 | 0.8404 | 0.7505 | 0.7305 |
2.5005 | 2.28 | 11100 | 5.4055 | 0.7846 | 0.8683 | 0.8407 | 0.7598 | 0.7512 |
2.5318 | 2.3 | 11200 | 5.4318 | 0.7783 | 0.8713 | 0.8410 | 0.7615 | 0.7301 |
2.536 | 2.32 | 11300 | 5.3246 | 0.7954 | 0.8713 | 0.8407 | 0.7772 | 0.7629 |
2.5451 | 2.34 | 11400 | 5.3373 | 0.7929 | 0.8717 | 0.8506 | 0.7812 | 0.7476 |
2.5074 | 2.36 | 11500 | 5.3783 | 0.7906 | 0.8713 | 0.8431 | 0.7742 | 0.7512 |
2.5224 | 2.38 | 11600 | 5.3735 | 0.7871 | 0.8717 | 0.8445 | 0.7588 | 0.7562 |
2.5149 | 2.41 | 11700 | 5.3319 | 0.7998 | 0.8795 | 0.8489 | 0.7846 | 0.7613 |
2.5389 | 2.43 | 11800 | 5.2504 | 0.8056 | 0.8727 | 0.8448 | 0.7991 | 0.7679 |
2.5119 | 2.45 | 11900 | 5.5226 | 0.7681 | 0.8730 | 0.8417 | 0.7399 | 0.7219 |
2.5234 | 2.47 | 12000 | 5.3983 | 0.7891 | 0.8737 | 0.8434 | 0.7669 | 0.7534 |
2.5182 | 2.49 | 12100 | 5.3814 | 0.7930 | 0.8724 | 0.8441 | 0.7796 | 0.7520 |
2.5245 | 2.51 | 12200 | 5.3952 | 0.7890 | 0.8741 | 0.8431 | 0.7728 | 0.7471 |
2.5119 | 2.53 | 12300 | 5.4067 | 0.7850 | 0.8758 | 0.8472 | 0.7608 | 0.7456 |
2.5215 | 2.55 | 12400 | 5.4097 | 0.7864 | 0.8727 | 0.8458 | 0.7613 | 0.7507 |
2.5127 | 2.57 | 12500 | 5.3509 | 0.7873 | 0.8703 | 0.8424 | 0.7777 | 0.7395 |
2.5046 | 2.59 | 12600 | 5.2962 | 0.8001 | 0.8737 | 0.8431 | 0.7796 | 0.7720 |
2.4837 | 2.61 | 12700 | 5.4046 | 0.7884 | 0.8737 | 0.8438 | 0.7752 | 0.7429 |
2.5137 | 2.63 | 12800 | 5.3183 | 0.7980 | 0.8741 | 0.8448 | 0.7806 | 0.7640 |
2.515 | 2.65 | 12900 | 5.3201 | 0.7992 | 0.8724 | 0.8489 | 0.7803 | 0.7667 |
2.5306 | 2.67 | 13000 | 5.3706 | 0.7950 | 0.8754 | 0.8428 | 0.7842 | 0.7522 |
2.4889 | 2.69 | 13100 | 5.3895 | 0.7903 | 0.8758 | 0.8424 | 0.7755 | 0.7476 |
2.5178 | 2.71 | 13200 | 5.3558 | 0.7974 | 0.8720 | 0.8407 | 0.7832 | 0.7625 |
2.5057 | 2.73 | 13300 | 5.3839 | 0.7913 | 0.8747 | 0.8438 | 0.7785 | 0.7474 |
2.522 | 2.75 | 13400 | 5.3373 | 0.7978 | 0.8734 | 0.8434 | 0.7839 | 0.7610 |
2.4612 | 2.78 | 13500 | 5.3752 | 0.7937 | 0.8744 | 0.8434 | 0.7801 | 0.7528 |
2.5035 | 2.8 | 13600 | 5.3719 | 0.7953 | 0.8778 | 0.8465 | 0.7822 | 0.7525 |
2.4851 | 2.82 | 13700 | 5.3599 | 0.7987 | 0.8754 | 0.8455 | 0.7816 | 0.7643 |
2.5165 | 2.84 | 13800 | 5.3383 | 0.8005 | 0.8764 | 0.8451 | 0.7872 | 0.7636 |
2.5382 | 2.86 | 13900 | 5.3440 | 0.7980 | 0.8747 | 0.8431 | 0.7806 | 0.7646 |
2.4977 | 2.88 | 14000 | 5.3545 | 0.7973 | 0.8751 | 0.8448 | 0.7819 | 0.7603 |
2.4886 | 2.9 | 14100 | 5.3799 | 0.7930 | 0.8747 | 0.8421 | 0.7759 | 0.7554 |
2.5048 | 2.92 | 14200 | 5.3314 | 0.7994 | 0.8741 | 0.8441 | 0.7846 | 0.7644 |
2.4761 | 2.94 | 14300 | 5.3567 | 0.7949 | 0.8747 | 0.8431 | 0.7796 | 0.7568 |
2.5016 | 2.96 | 14400 | 5.3700 | 0.7940 | 0.8754 | 0.8455 | 0.7794 | 0.7532 |
2.4906 | 2.98 | 14500 | 5.3607 | 0.7950 | 0.8751 | 0.8462 | 0.7799 | 0.7554 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3