--- library_name: transformers tags: - generated_from_trainer model-index: - name: calculator_model_test results: [] --- # calculator_model_test This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4887 ## 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: 0.0001 - train_batch_size: 512 - eval_batch_size: 512 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.7992 | 1.0 | 4 | 3.3759 | | 3.2713 | 2.0 | 8 | 3.0747 | | 3.0077 | 3.0 | 12 | 2.8470 | | 2.8017 | 4.0 | 16 | 2.6776 | | 2.6544 | 5.0 | 20 | 2.5598 | | 2.5406 | 6.0 | 24 | 2.4680 | | 2.4533 | 7.0 | 28 | 2.3877 | | 2.3706 | 8.0 | 32 | 2.3072 | | 2.2888 | 9.0 | 36 | 2.2281 | | 2.2113 | 10.0 | 40 | 2.1635 | | 2.1521 | 11.0 | 44 | 2.0968 | | 2.0820 | 12.0 | 48 | 2.0234 | | 2.0103 | 13.0 | 52 | 1.9459 | | 1.9386 | 14.0 | 56 | 1.8604 | | 1.8504 | 15.0 | 60 | 1.7755 | | 1.7743 | 16.0 | 64 | 1.6988 | | 1.7016 | 17.0 | 68 | 1.6309 | | 1.6317 | 18.0 | 72 | 1.5733 | | 1.5746 | 19.0 | 76 | 1.5232 | | 1.5296 | 20.0 | 80 | 1.4786 | | 1.4842 | 21.0 | 84 | 1.4378 | | 1.4424 | 22.0 | 88 | 1.3982 | | 1.4026 | 23.0 | 92 | 1.3584 | | 1.3666 | 24.0 | 96 | 1.3200 | | 1.3270 | 25.0 | 100 | 1.2837 | | 1.2885 | 26.0 | 104 | 1.2460 | | 1.2536 | 27.0 | 108 | 1.2117 | | 1.2224 | 28.0 | 112 | 1.1795 | | 1.1877 | 29.0 | 116 | 1.1505 | | 1.1601 | 30.0 | 120 | 1.1205 | | 1.1318 | 31.0 | 124 | 1.0939 | | 1.1067 | 32.0 | 128 | 1.0691 | | 1.0819 | 33.0 | 132 | 1.0422 | | 1.0510 | 34.0 | 136 | 1.0184 | | 1.0321 | 35.0 | 140 | 0.9936 | | 1.0098 | 36.0 | 144 | 0.9706 | | 0.9784 | 37.0 | 148 | 0.9458 | | 0.9552 | 38.0 | 152 | 0.9205 | | 0.9388 | 39.0 | 156 | 0.8972 | | 0.9144 | 40.0 | 160 | 0.8710 | | 0.8855 | 41.0 | 164 | 0.8509 | | 0.8683 | 42.0 | 168 | 0.8277 | | 0.8407 | 43.0 | 172 | 0.8134 | | 0.8343 | 44.0 | 176 | 0.7972 | | 0.8074 | 45.0 | 180 | 0.7759 | | 0.7915 | 46.0 | 184 | 0.7621 | | 0.7782 | 47.0 | 188 | 0.7481 | | 0.7615 | 48.0 | 192 | 0.7329 | | 0.7475 | 49.0 | 196 | 0.7170 | | 0.7301 | 50.0 | 200 | 0.7028 | | 0.7258 | 51.0 | 204 | 0.6922 | | 0.7165 | 52.0 | 208 | 0.6794 | | 0.7019 | 53.0 | 212 | 0.6723 | | 0.6936 | 54.0 | 216 | 0.6623 | | 0.6817 | 55.0 | 220 | 0.6507 | | 0.6698 | 56.0 | 224 | 0.6422 | | 0.6609 | 57.0 | 228 | 0.6360 | | 0.6599 | 58.0 | 232 | 0.6297 | | 0.6467 | 59.0 | 236 | 0.6223 | | 0.6475 | 60.0 | 240 | 0.6133 | | 0.6388 | 61.0 | 244 | 0.6070 | | 0.6265 | 62.0 | 248 | 0.5988 | | 0.6248 | 63.0 | 252 | 0.5900 | | 0.6150 | 64.0 | 256 | 0.5890 | | 0.6124 | 65.0 | 260 | 0.5820 | | 0.6042 | 66.0 | 264 | 0.5772 | | 0.6059 | 67.0 | 268 | 0.5699 | | 0.5938 | 68.0 | 272 | 0.5640 | | 0.5920 | 69.0 | 276 | 0.5596 | | 0.5904 | 70.0 | 280 | 0.5550 | | 0.5843 | 71.0 | 284 | 0.5520 | | 0.5784 | 72.0 | 288 | 0.5443 | | 0.5716 | 73.0 | 292 | 0.5434 | | 0.5674 | 74.0 | 296 | 0.5381 | | 0.5629 | 75.0 | 300 | 0.5369 | | 0.5635 | 76.0 | 304 | 0.5301 | | 0.5572 | 77.0 | 308 | 0.5274 | | 0.5574 | 78.0 | 312 | 0.5248 | | 0.5529 | 79.0 | 316 | 0.5207 | | 0.5472 | 80.0 | 320 | 0.5171 | | 0.5497 | 81.0 | 324 | 0.5148 | | 0.5475 | 82.0 | 328 | 0.5108 | | 0.5360 | 83.0 | 332 | 0.5090 | | 0.5498 | 84.0 | 336 | 0.5069 | | 0.5367 | 85.0 | 340 | 0.5039 | | 0.5377 | 86.0 | 344 | 0.5025 | | 0.5403 | 87.0 | 348 | 0.5025 | | 0.5321 | 88.0 | 352 | 0.5008 | | 0.5340 | 89.0 | 356 | 0.4972 | | 0.5292 | 90.0 | 360 | 0.4955 | | 0.5299 | 91.0 | 364 | 0.4958 | | 0.5316 | 92.0 | 368 | 0.4942 | | 0.5237 | 93.0 | 372 | 0.4927 | | 0.5258 | 94.0 | 376 | 0.4924 | | 0.5258 | 95.0 | 380 | 0.4916 | | 0.5180 | 96.0 | 384 | 0.4909 | | 0.5249 | 97.0 | 388 | 0.4901 | | 0.5210 | 98.0 | 392 | 0.4895 | | 0.5207 | 99.0 | 396 | 0.4889 | | 0.5229 | 100.0 | 400 | 0.4887 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2