Model save
Browse files- README.md +1 -122
- training_args.bin +1 -1
README.md
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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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- accuracy
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model-index:
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- name: exceptions_exp2_swap_require_to_drop_2128
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results: []
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/craaaa/exceptions_exp2/runs/
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# exceptions_exp2_swap_require_to_drop_2128
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5560
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- Accuracy: 0.3697
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## Model description
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- num_epochs: 50.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-------:|:------:|:--------:|:---------------:|
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| 4.8313 | 0.2911 | 1000 | 0.2540 | 4.7551 |
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| 4.327 | 0.5822 | 2000 | 0.2997 | 4.2808 |
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| 4.143 | 0.8733 | 3000 | 0.3158 | 4.0936 |
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| 3.9875 | 1.1642 | 4000 | 0.3258 | 3.9878 |
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| 3.9281 | 1.4553 | 5000 | 0.3324 | 3.9116 |
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| 3.8772 | 1.7464 | 6000 | 0.3377 | 3.8521 |
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| 3.7465 | 2.0373 | 7000 | 0.3420 | 3.8094 |
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| 3.7597 | 2.3284 | 8000 | 0.3449 | 3.7793 |
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| 3.7427 | 2.6195 | 9000 | 0.3474 | 3.7533 |
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| 3.7251 | 2.9106 | 10000 | 0.3499 | 3.7231 |
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| 3.629 | 3.2017 | 11000 | 0.3521 | 3.7163 |
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| 67 |
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| 3.6484 | 3.4928 | 12000 | 0.3533 | 3.6963 |
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| 68 |
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| 3.6332 | 3.7839 | 13000 | 0.3548 | 3.6787 |
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| 3.5315 | 4.0748 | 14000 | 0.3562 | 3.6728 |
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| 3.5681 | 4.3659 | 15000 | 0.3573 | 3.6608 |
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| 3.5781 | 4.6570 | 16000 | 0.3587 | 3.6463 |
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| 3.5613 | 4.9481 | 17000 | 0.3599 | 3.6338 |
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| 3.4987 | 5.2390 | 18000 | 0.3604 | 3.6328 |
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| 3.5154 | 5.5301 | 19000 | 0.3614 | 3.6225 |
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| 3.528 | 5.8212 | 20000 | 0.3622 | 3.6133 |
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| 3.442 | 6.1121 | 21000 | 0.3626 | 3.6160 |
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| 3.4671 | 6.4032 | 22000 | 0.3636 | 3.6099 |
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| 3.4893 | 6.6943 | 23000 | 0.3643 | 3.5987 |
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| 3.4985 | 6.9854 | 24000 | 0.3649 | 3.5882 |
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| 3.4264 | 7.2763 | 25000 | 0.3644 | 3.5983 |
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| 81 |
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| 3.4448 | 7.5674 | 26000 | 0.3653 | 3.5921 |
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| 3.4691 | 7.8585 | 27000 | 0.3662 | 3.5819 |
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| 3.3775 | 8.1493 | 28000 | 0.3663 | 3.5903 |
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| 3.4149 | 8.4404 | 29000 | 0.3668 | 3.5849 |
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| 3.4252 | 8.7315 | 30000 | 0.3674 | 3.5762 |
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| 3.3288 | 9.0224 | 31000 | 0.3674 | 3.5799 |
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| 3.3776 | 9.3135 | 32000 | 0.3673 | 3.5804 |
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| 3.3921 | 9.6046 | 33000 | 0.3678 | 3.5719 |
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| 3.4212 | 9.8957 | 34000 | 0.3686 | 3.5636 |
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| 3.3329 | 10.1866 | 35000 | 0.3683 | 3.5705 |
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| 3.367 | 10.4777 | 36000 | 0.3687 | 3.5656 |
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| 3.3889 | 10.7688 | 37000 | 0.3696 | 3.5565 |
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| 3.2762 | 11.0597 | 38000 | 0.3693 | 3.5687 |
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| 3.3424 | 11.3508 | 39000 | 0.3693 | 3.5665 |
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| 3.3651 | 11.6419 | 40000 | 0.3697 | 3.5560 |
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| 3.3767 | 11.9330 | 41000 | 0.3705 | 3.5478 |
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| 3.3124 | 12.2239 | 42000 | 0.3699 | 3.5633 |
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| 3.3323 | 12.5150 | 43000 | 0.3704 | 3.5532 |
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| 3.3498 | 12.8061 | 44000 | 0.3707 | 3.5505 |
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| 3.2658 | 13.0969 | 45000 | 0.3704 | 3.5606 |
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| 3.3054 | 13.3880 | 46000 | 0.3709 | 3.5550 |
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| 3.3295 | 13.6791 | 47000 | 0.3710 | 3.5496 |
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| 3.3345 | 13.9702 | 48000 | 0.3717 | 3.5407 |
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| 3.2725 | 14.2611 | 49000 | 0.3708 | 3.5595 |
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| 3.3044 | 14.5522 | 50000 | 0.3714 | 3.5515 |
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| 3.3212 | 14.8433 | 51000 | 0.3720 | 3.5415 |
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| 3.2308 | 15.1342 | 52000 | 0.3712 | 3.5574 |
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| 3.288 | 15.4253 | 53000 | 0.3717 | 3.5501 |
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| 3.2921 | 15.7164 | 54000 | 0.3723 | 3.5417 |
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| 3.2591 | 16.0073 | 55000 | 0.3717 | 3.5503 |
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| 3.2485 | 16.2984 | 56000 | 0.3718 | 3.5517 |
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| 3.2739 | 16.5895 | 57000 | 0.3727 | 3.5459 |
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| 3.3028 | 16.8806 | 58000 | 0.3731 | 3.5335 |
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| 3.2237 | 17.1715 | 59000 | 0.3720 | 3.5547 |
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| 3.2656 | 17.4626 | 60000 | 0.3724 | 3.5480 |
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| 3.2953 | 17.7537 | 61000 | 0.3731 | 3.5424 |
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| 3.1951 | 18.0445 | 62000 | 0.3726 | 3.5493 |
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| 3.2331 | 18.3356 | 63000 | 0.3729 | 3.5486 |
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| 3.2593 | 18.6267 | 64000 | 0.3727 | 3.5409 |
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| 3.2761 | 18.9179 | 65000 | 0.3735 | 3.5339 |
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| 3.2115 | 19.2087 | 66000 | 0.3726 | 3.5528 |
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| 3.253 | 19.4998 | 67000 | 0.3732 | 3.5418 |
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| 3.2466 | 19.7909 | 68000 | 0.3734 | 3.5372 |
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| 3.1752 | 20.0818 | 69000 | 0.3730 | 3.5488 |
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| 3.2125 | 20.3729 | 70000 | 0.3733 | 3.5475 |
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| 3.2385 | 20.6640 | 71000 | 0.3739 | 3.5358 |
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| 3.251 | 20.9551 | 72000 | 0.3739 | 3.5311 |
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| 3.1939 | 21.2460 | 73000 | 0.3729 | 3.5486 |
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| 3.2151 | 21.5371 | 74000 | 0.3736 | 3.5441 |
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| 3.2295 | 21.8282 | 75000 | 0.3741 | 3.5372 |
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| 3.1566 | 22.1191 | 76000 | 0.3733 | 3.5541 |
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| 3.2004 | 22.4102 | 77000 | 0.3737 | 3.5459 |
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| 3.2214 | 22.7013 | 78000 | 0.3741 | 3.5404 |
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| 3.2437 | 22.9924 | 79000 | 0.3744 | 3.5299 |
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| 3.1845 | 23.2832 | 80000 | 0.3739 | 3.5493 |
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| 3.1994 | 23.5743 | 81000 | 0.3744 | 3.5441 |
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| 3.2281 | 23.8655 | 82000 | 0.3746 | 3.5324 |
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| 3.1537 | 24.1563 | 83000 | 0.3739 | 3.5519 |
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| 3.1843 | 24.4474 | 84000 | 0.3741 | 3.5443 |
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| 3.2124 | 24.7385 | 85000 | 0.3745 | 3.5374 |
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| 3.1189 | 25.0294 | 86000 | 0.3743 | 3.5461 |
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| 3.1644 | 25.3205 | 87000 | 0.3739 | 3.5504 |
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| 3.1798 | 25.6116 | 88000 | 0.3746 | 3.5400 |
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| 3.2071 | 25.9027 | 89000 | 0.3752 | 3.5329 |
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| 3.1338 | 26.1936 | 90000 | 0.3739 | 3.5499 |
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| 3.1641 | 26.4844 | 91000 | 3.5498 | 0.3740 |
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| 3.178 | 26.7755 | 92000 | 3.5460 | 0.3745 |
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| 3.1156 | 27.0667 | 93000 | 3.5507 | 0.3741 |
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| 3.1562 | 27.3578 | 94000 | 3.5479 | 0.3744 |
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| 3.1706 | 27.6489 | 95000 | 3.5415 | 0.3746 |
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| 3.1879 | 27.9400 | 96000 | 3.5346 | 0.3752 |
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| 3.1258 | 28.2308 | 97000 | 3.5558 | 0.3742 |
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| 3.1493 | 28.5219 | 98000 | 3.5431 | 0.3749 |
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| 3.1672 | 28.8131 | 99000 | 3.5380 | 0.3752 |
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| 3.1068 | 29.1039 | 100000 | 3.5491 | 0.3745 |
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| 3.1256 | 29.3950 | 101000 | 3.5464 | 0.3746 |
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| 3.1698 | 29.6861 | 102000 | 3.5399 | 0.3752 |
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| 3.1656 | 29.9772 | 103000 | 3.5373 | 0.3754 |
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| 3.1042 | 30.2681 | 104000 | 3.5522 | 0.3748 |
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| 3.1346 | 30.5592 | 105000 | 3.5461 | 0.3748 |
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| 3.1582 | 30.8503 | 106000 | 3.5354 | 0.3756 |
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| 3.0962 | 31.1412 | 107000 | 3.5549 | 0.3744 |
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| 3.1241 | 31.4323 | 108000 | 3.5477 | 0.3750 |
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| 3.1358 | 31.7234 | 109000 | 3.5379 | 0.3755 |
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| 3.0608 | 32.0143 | 110000 | 3.5513 | 0.3749 |
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### Framework versions
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- Transformers 4.55.2
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: exceptions_exp2_swap_require_to_drop_2128
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results: []
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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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+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/craaaa/exceptions_exp2/runs/kafyvz29)
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# exceptions_exp2_swap_require_to_drop_2128
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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- num_epochs: 50.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.55.2
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training_args.bin
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 5969
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:e33445c56040fa6c8ed111c93fae2574061ff682ac57ce6d1244b1e4412ff190
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size 5969
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