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Safetensors
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End of training

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  1. README.md +209 -0
  2. model.safetensors +3 -0
  3. training_args.bin +3 -0
README.md ADDED
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+ ---
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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: results
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+ results: []
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+ ---
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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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+
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+ # results
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+
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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: 0.4221
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+ - Accuracy: 0.9349
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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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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+ - num_epochs: 150
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | No log | 1.0 | 143 | 0.9047 | 0.7230 |
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+ | No log | 2.0 | 286 | 0.9901 | 0.6931 |
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+ | No log | 3.0 | 429 | 0.8945 | 0.7098 |
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+ | 0.9505 | 4.0 | 572 | 0.9640 | 0.6992 |
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+ | 0.9505 | 5.0 | 715 | 1.5064 | 0.5673 |
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+ | 0.9505 | 6.0 | 858 | 0.7890 | 0.7467 |
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+ | 0.8095 | 7.0 | 1001 | 1.1257 | 0.6728 |
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+ | 0.8095 | 8.0 | 1144 | 0.7018 | 0.7740 |
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+ | 0.8095 | 9.0 | 1287 | 0.7466 | 0.7546 |
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+ | 0.8095 | 10.0 | 1430 | 1.0306 | 0.6992 |
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+ | 0.6863 | 11.0 | 1573 | 0.6003 | 0.7986 |
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+ | 0.6863 | 12.0 | 1716 | 0.6352 | 0.7836 |
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+ | 0.6863 | 13.0 | 1859 | 0.6771 | 0.7872 |
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+ | 0.5947 | 14.0 | 2002 | 0.7419 | 0.7704 |
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+ | 0.5947 | 15.0 | 2145 | 0.5859 | 0.8364 |
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+ | 0.5947 | 16.0 | 2288 | 0.4799 | 0.8470 |
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+ | 0.5947 | 17.0 | 2431 | 0.7130 | 0.7766 |
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+ | 0.5318 | 18.0 | 2574 | 0.6037 | 0.7995 |
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+ | 0.5318 | 19.0 | 2717 | 0.5739 | 0.8091 |
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+ | 0.5318 | 20.0 | 2860 | 0.6518 | 0.8083 |
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+ | 0.4928 | 21.0 | 3003 | 0.5201 | 0.8303 |
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+ | 0.4928 | 22.0 | 3146 | 0.4785 | 0.8452 |
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+ | 0.4928 | 23.0 | 3289 | 0.5235 | 0.8382 |
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+ | 0.4928 | 24.0 | 3432 | 0.6903 | 0.7942 |
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+ | 0.4256 | 25.0 | 3575 | 0.4861 | 0.8487 |
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+ | 0.4256 | 26.0 | 3718 | 0.7799 | 0.7810 |
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+ | 0.4256 | 27.0 | 3861 | 0.5309 | 0.8434 |
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+ | 0.4005 | 28.0 | 4004 | 0.7764 | 0.7801 |
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+ | 0.4005 | 29.0 | 4147 | 0.4251 | 0.8549 |
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+ | 0.4005 | 30.0 | 4290 | 0.4961 | 0.8461 |
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+ | 0.4005 | 31.0 | 4433 | 0.4262 | 0.8777 |
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+ | 0.3827 | 32.0 | 4576 | 0.4901 | 0.8514 |
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+ | 0.3827 | 33.0 | 4719 | 0.4752 | 0.8549 |
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+ | 0.3827 | 34.0 | 4862 | 0.5656 | 0.8496 |
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+ | 0.3493 | 35.0 | 5005 | 0.5117 | 0.8470 |
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+ | 0.3493 | 36.0 | 5148 | 0.4737 | 0.8584 |
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+ | 0.3493 | 37.0 | 5291 | 0.4528 | 0.8619 |
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+ | 0.3493 | 38.0 | 5434 | 0.4847 | 0.8663 |
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+ | 0.3129 | 39.0 | 5577 | 0.4695 | 0.8610 |
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+ | 0.3129 | 40.0 | 5720 | 0.5473 | 0.8654 |
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+ | 0.3129 | 41.0 | 5863 | 0.5131 | 0.8434 |
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+ | 0.2927 | 42.0 | 6006 | 0.4573 | 0.8716 |
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+ | 0.2927 | 43.0 | 6149 | 0.5483 | 0.8338 |
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+ | 0.2927 | 44.0 | 6292 | 0.4192 | 0.8777 |
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+ | 0.2927 | 45.0 | 6435 | 0.4449 | 0.8584 |
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+ | 0.2671 | 46.0 | 6578 | 0.4701 | 0.8751 |
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+ | 0.2671 | 47.0 | 6721 | 0.4011 | 0.8821 |
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+ | 0.2671 | 48.0 | 6864 | 0.4403 | 0.8769 |
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+ | 0.2363 | 49.0 | 7007 | 0.4142 | 0.8918 |
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+ | 0.2363 | 50.0 | 7150 | 0.4229 | 0.8804 |
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+ | 0.2363 | 51.0 | 7293 | 0.7686 | 0.8276 |
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+ | 0.2363 | 52.0 | 7436 | 0.4570 | 0.8795 |
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+ | 0.2220 | 53.0 | 7579 | 0.4136 | 0.8865 |
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+ | 0.2220 | 54.0 | 7722 | 0.4940 | 0.8681 |
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+ | 0.2220 | 55.0 | 7865 | 0.4437 | 0.8751 |
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+ | 0.2097 | 56.0 | 8008 | 0.4580 | 0.8777 |
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+ | 0.2097 | 57.0 | 8151 | 0.6307 | 0.8470 |
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+ | 0.2097 | 58.0 | 8294 | 0.5035 | 0.8857 |
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+ | 0.2097 | 59.0 | 8437 | 0.4840 | 0.8909 |
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+ | 0.1885 | 60.0 | 8580 | 0.5297 | 0.8769 |
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+ | 0.1885 | 61.0 | 8723 | 0.3821 | 0.9006 |
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+ | 0.1885 | 62.0 | 8866 | 0.6266 | 0.8443 |
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+ | 0.1822 | 63.0 | 9009 | 0.7199 | 0.8382 |
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+ | 0.1822 | 64.0 | 9152 | 0.4919 | 0.8901 |
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+ | 0.1822 | 65.0 | 9295 | 0.4071 | 0.8953 |
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+ | 0.1822 | 66.0 | 9438 | 0.4658 | 0.8857 |
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+ | 0.1865 | 67.0 | 9581 | 0.4294 | 0.8997 |
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+ | 0.1865 | 68.0 | 9724 | 0.4560 | 0.8813 |
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+ | 0.1865 | 69.0 | 9867 | 0.5093 | 0.8830 |
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+ | 0.1565 | 70.0 | 10010 | 0.3400 | 0.9147 |
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+ | 0.1565 | 71.0 | 10153 | 0.4107 | 0.9059 |
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+ | 0.1565 | 72.0 | 10296 | 0.4549 | 0.8953 |
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+ | 0.1565 | 73.0 | 10439 | 0.3510 | 0.9112 |
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+ | 0.1409 | 74.0 | 10582 | 0.4849 | 0.9024 |
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+ | 0.1409 | 75.0 | 10725 | 0.4530 | 0.8953 |
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+ | 0.1409 | 76.0 | 10868 | 0.5266 | 0.8865 |
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+ | 0.1338 | 77.0 | 11011 | 0.4622 | 0.8945 |
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+ | 0.1338 | 78.0 | 11154 | 0.4604 | 0.9059 |
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+ | 0.1338 | 79.0 | 11297 | 0.4042 | 0.9041 |
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+ | 0.1338 | 80.0 | 11440 | 0.4591 | 0.9033 |
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+ | 0.1233 | 81.0 | 11583 | 0.5011 | 0.8980 |
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+ | 0.1233 | 82.0 | 11726 | 0.4613 | 0.9041 |
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+ | 0.1233 | 83.0 | 11869 | 0.3997 | 0.9103 |
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+ | 0.1080 | 84.0 | 12012 | 0.4628 | 0.9041 |
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+ | 0.1080 | 85.0 | 12155 | 0.4170 | 0.9050 |
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+ | 0.1080 | 86.0 | 12298 | 0.6083 | 0.8848 |
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+ | 0.1080 | 87.0 | 12441 | 0.4920 | 0.8901 |
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+ | 0.1208 | 88.0 | 12584 | 0.4487 | 0.9006 |
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+ | 0.1208 | 89.0 | 12727 | 0.4995 | 0.8962 |
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+ | 0.1208 | 90.0 | 12870 | 0.4675 | 0.9015 |
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+ | 0.0947 | 91.0 | 13013 | 0.4700 | 0.9182 |
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+ | 0.0947 | 92.0 | 13156 | 0.4903 | 0.9033 |
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+ | 0.0947 | 93.0 | 13299 | 0.5484 | 0.8927 |
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+ | 0.0947 | 94.0 | 13442 | 0.4633 | 0.9164 |
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+ | 0.0759 | 95.0 | 13585 | 0.4263 | 0.9182 |
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+ | 0.0759 | 96.0 | 13728 | 0.4640 | 0.9112 |
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+ | 0.0759 | 97.0 | 13871 | 0.4883 | 0.9103 |
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+ | 0.0829 | 98.0 | 14014 | 0.3980 | 0.9226 |
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+ | 0.0829 | 99.0 | 14157 | 0.4329 | 0.9103 |
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+ | 0.0829 | 100.0 | 14300 | 0.6688 | 0.8804 |
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+ | 0.0829 | 101.0 | 14443 | 0.4229 | 0.9173 |
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+ | 0.0766 | 102.0 | 14586 | 0.4831 | 0.9033 |
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+ | 0.0766 | 103.0 | 14729 | 0.5334 | 0.9112 |
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+ | 0.0766 | 104.0 | 14872 | 0.5476 | 0.9024 |
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+ | 0.0816 | 105.0 | 15015 | 0.5713 | 0.9059 |
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+ | 0.0816 | 106.0 | 15158 | 0.5267 | 0.9112 |
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+ | 0.0816 | 107.0 | 15301 | 0.4852 | 0.9208 |
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+ | 0.0816 | 108.0 | 15444 | 0.4692 | 0.9147 |
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+ | 0.0633 | 109.0 | 15587 | 0.4433 | 0.9147 |
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+ | 0.0633 | 110.0 | 15730 | 0.4211 | 0.9173 |
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+ | 0.0633 | 111.0 | 15873 | 0.4638 | 0.9094 |
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+ | 0.0537 | 112.0 | 16016 | 0.4974 | 0.9085 |
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+ | 0.0537 | 113.0 | 16159 | 0.5763 | 0.9068 |
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+ | 0.0537 | 114.0 | 16302 | 0.4421 | 0.9217 |
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+ | 0.0537 | 115.0 | 16445 | 0.4606 | 0.9164 |
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+ | 0.0557 | 116.0 | 16588 | 0.4752 | 0.9252 |
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+ | 0.0557 | 117.0 | 16731 | 0.4896 | 0.9156 |
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+ | 0.0557 | 118.0 | 16874 | 0.4451 | 0.9200 |
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+ | 0.0527 | 119.0 | 17017 | 0.5163 | 0.9156 |
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+ | 0.0527 | 120.0 | 17160 | 0.4769 | 0.9173 |
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+ | 0.0527 | 121.0 | 17303 | 0.4732 | 0.9217 |
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+ | 0.0527 | 122.0 | 17446 | 0.4467 | 0.9173 |
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+ | 0.0389 | 123.0 | 17589 | 0.4703 | 0.9208 |
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+ | 0.0389 | 124.0 | 17732 | 0.4727 | 0.9305 |
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+ | 0.0389 | 125.0 | 17875 | 0.4924 | 0.9235 |
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+ | 0.0367 | 126.0 | 18018 | 0.4641 | 0.9235 |
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+ | 0.0367 | 127.0 | 18161 | 0.4532 | 0.9279 |
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+ | 0.0367 | 128.0 | 18304 | 0.4290 | 0.9288 |
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+ | 0.0367 | 129.0 | 18447 | 0.4596 | 0.9217 |
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+ | 0.0303 | 130.0 | 18590 | 0.4619 | 0.9270 |
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+ | 0.0303 | 131.0 | 18733 | 0.4287 | 0.9279 |
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+ | 0.0303 | 132.0 | 18876 | 0.5015 | 0.9191 |
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+ | 0.0297 | 133.0 | 19019 | 0.4739 | 0.9244 |
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+ | 0.0297 | 134.0 | 19162 | 0.4980 | 0.9270 |
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+ | 0.0297 | 135.0 | 19305 | 0.4582 | 0.9244 |
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+ | 0.0297 | 136.0 | 19448 | 0.4434 | 0.9323 |
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+ | 0.0269 | 137.0 | 19591 | 0.4730 | 0.9270 |
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+ | 0.0269 | 138.0 | 19734 | 0.4805 | 0.9296 |
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+ | 0.0269 | 139.0 | 19877 | 0.4720 | 0.9252 |
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+ | 0.0313 | 140.0 | 20020 | 0.4370 | 0.9261 |
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+ | 0.0313 | 141.0 | 20163 | 0.4456 | 0.9323 |
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+ | 0.0313 | 142.0 | 20306 | 0.4366 | 0.9288 |
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+ | 0.0313 | 143.0 | 20449 | 0.4809 | 0.9244 |
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+ | 0.0215 | 144.0 | 20592 | 0.4221 | 0.9349 |
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+ | 0.0215 | 145.0 | 20735 | 0.4467 | 0.9314 |
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+ | 0.0215 | 146.0 | 20878 | 0.4446 | 0.9296 |
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+ | 0.0161 | 147.0 | 21021 | 0.4431 | 0.9305 |
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+ | 0.0161 | 148.0 | 21164 | 0.4418 | 0.9305 |
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+ | 0.0161 | 149.0 | 21307 | 0.4483 | 0.9314 |
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+ | 0.0161 | 150.0 | 21450 | 0.4425 | 0.9296 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0.dev0
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+ - Pytorch 2.9.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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