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karlitoxz
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ServiModelV2

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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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: ServiModelV2
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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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+ # ServiModelV2
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9217
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+ - Accuracy: 0.5460
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 1
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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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+ | 0.9053 | 0.0120 | 3 | 1.0672 | 0.4851 |
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+ | 1.1016 | 0.0239 | 6 | 0.9759 | 0.4931 |
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+ | 0.8911 | 0.0359 | 9 | 0.9359 | 0.5207 |
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+ | 0.9685 | 0.0478 | 12 | 0.9348 | 0.5563 |
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+ | 0.9589 | 0.0598 | 15 | 0.9609 | 0.5529 |
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+ | 0.9283 | 0.0717 | 18 | 0.9581 | 0.5494 |
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+ | 1.0205 | 0.0837 | 21 | 0.9475 | 0.5471 |
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+ | 0.7105 | 0.0956 | 24 | 0.9582 | 0.5379 |
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+ | 1.0178 | 0.1076 | 27 | 0.9957 | 0.5299 |
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+ | 1.0645 | 0.1195 | 30 | 1.0076 | 0.5333 |
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+ | 0.8359 | 0.1315 | 33 | 0.9997 | 0.5356 |
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+ | 0.8526 | 0.1434 | 36 | 0.9759 | 0.5287 |
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+ | 0.9672 | 0.1554 | 39 | 0.9646 | 0.5356 |
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+ | 0.972 | 0.1673 | 42 | 0.9563 | 0.5299 |
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+ | 1.1935 | 0.1793 | 45 | 0.9433 | 0.5333 |
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+ | 0.8012 | 0.1912 | 48 | 0.9415 | 0.5299 |
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+ | 1.1007 | 0.2032 | 51 | 0.9415 | 0.5368 |
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+ | 0.8461 | 0.2151 | 54 | 0.9306 | 0.5437 |
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+ | 0.8329 | 0.2271 | 57 | 0.9292 | 0.5322 |
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+ | 0.6564 | 0.2390 | 60 | 0.9432 | 0.5310 |
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+ | 1.0364 | 0.2510 | 63 | 0.9627 | 0.5276 |
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+ | 0.8999 | 0.2629 | 66 | 0.9646 | 0.5115 |
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+ | 0.813 | 0.2749 | 69 | 0.9957 | 0.5023 |
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+ | 1.0287 | 0.2869 | 72 | 1.0307 | 0.4805 |
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+ | 1.1745 | 0.2988 | 75 | 0.9998 | 0.4862 |
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+ | 0.7797 | 0.3108 | 78 | 0.9556 | 0.5080 |
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+ | 0.68 | 0.3227 | 81 | 0.9344 | 0.5276 |
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+ | 0.6929 | 0.3347 | 84 | 0.9413 | 0.5356 |
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+ | 1.0455 | 0.3466 | 87 | 0.9584 | 0.5195 |
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+ | 0.8388 | 0.3586 | 90 | 0.9676 | 0.5230 |
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+ | 0.8741 | 0.3705 | 93 | 0.9797 | 0.5218 |
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+ | 0.7958 | 0.3825 | 96 | 0.9849 | 0.5218 |
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+ | 1.1008 | 0.3944 | 99 | 0.9723 | 0.5230 |
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+ | 0.7522 | 0.4064 | 102 | 0.9543 | 0.5310 |
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+ | 0.782 | 0.4183 | 105 | 0.9364 | 0.5310 |
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+ | 0.7891 | 0.4303 | 108 | 0.9358 | 0.5414 |
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+ | 0.9653 | 0.4422 | 111 | 0.9430 | 0.5356 |
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+ | 0.6824 | 0.4542 | 114 | 0.9444 | 0.5414 |
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+ | 1.0553 | 0.4661 | 117 | 0.9396 | 0.5414 |
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+ | 0.9817 | 0.4781 | 120 | 0.9284 | 0.5460 |
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+ | 0.9246 | 0.4900 | 123 | 0.9276 | 0.5471 |
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+ | 0.9104 | 0.5020 | 126 | 0.9308 | 0.5517 |
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+ | 0.968 | 0.5139 | 129 | 0.9407 | 0.5575 |
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+ | 0.8514 | 0.5259 | 132 | 0.9508 | 0.5552 |
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+ | 0.8625 | 0.5378 | 135 | 0.9539 | 0.5494 |
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+ | 0.8176 | 0.5498 | 138 | 0.9444 | 0.5586 |
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+ | 0.899 | 0.5618 | 141 | 0.9273 | 0.5540 |
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+ | 0.7019 | 0.5737 | 144 | 0.9215 | 0.5471 |
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+ | 0.7463 | 0.5857 | 147 | 0.9254 | 0.5483 |
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+ | 0.7975 | 0.5976 | 150 | 0.9315 | 0.5448 |
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+ | 0.8744 | 0.6096 | 153 | 0.9393 | 0.5379 |
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+ | 1.0331 | 0.6215 | 156 | 0.9505 | 0.5356 |
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+ | 1.261 | 0.6335 | 159 | 0.9463 | 0.5368 |
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+ | 0.8668 | 0.6454 | 162 | 0.9384 | 0.5379 |
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+ | 0.8954 | 0.6574 | 165 | 0.9303 | 0.5460 |
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+ | 0.9757 | 0.6693 | 168 | 0.9264 | 0.5437 |
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+ | 0.9377 | 0.6813 | 171 | 0.9239 | 0.5471 |
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+ | 0.9672 | 0.6932 | 174 | 0.9170 | 0.5437 |
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+ | 0.753 | 0.7052 | 177 | 0.9132 | 0.5471 |
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+ | 0.8249 | 0.7171 | 180 | 0.9123 | 0.5471 |
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+ | 0.9821 | 0.7291 | 183 | 0.9103 | 0.5529 |
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+ | 0.5874 | 0.7410 | 186 | 0.9115 | 0.5437 |
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+ | 1.2268 | 0.7530 | 189 | 0.9120 | 0.5448 |
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+ | 0.9057 | 0.7649 | 192 | 0.9115 | 0.5471 |
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+ | 0.7629 | 0.7769 | 195 | 0.9128 | 0.5460 |
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+ | 0.7118 | 0.7888 | 198 | 0.9192 | 0.5517 |
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+ | 0.7853 | 0.8008 | 201 | 0.9266 | 0.5414 |
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+ | 1.0594 | 0.8127 | 204 | 0.9273 | 0.5448 |
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+ | 0.9289 | 0.8247 | 207 | 0.9273 | 0.5402 |
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+ | 0.925 | 0.8367 | 210 | 0.9251 | 0.5517 |
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+ | 1.0229 | 0.8486 | 213 | 0.9218 | 0.5483 |
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+ | 0.7402 | 0.8606 | 216 | 0.9193 | 0.5471 |
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+ | 0.8425 | 0.8725 | 219 | 0.9185 | 0.5448 |
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+ | 0.7125 | 0.8845 | 222 | 0.9191 | 0.5517 |
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+ | 0.7757 | 0.8964 | 225 | 0.9198 | 0.5529 |
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+ | 0.8713 | 0.9084 | 228 | 0.9202 | 0.5529 |
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+ | 0.7946 | 0.9203 | 231 | 0.9205 | 0.5494 |
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+ | 0.6899 | 0.9323 | 234 | 0.9213 | 0.5471 |
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+ | 0.8105 | 0.9442 | 237 | 0.9223 | 0.5448 |
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+ | 0.9919 | 0.9562 | 240 | 0.9225 | 0.5448 |
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+ | 0.7766 | 0.9681 | 243 | 0.9222 | 0.5471 |
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+ | 1.0589 | 0.9801 | 246 | 0.9218 | 0.5471 |
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+ | 0.779 | 0.9920 | 249 | 0.9217 | 0.5460 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.1
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+ - Pytorch 2.9.0+cpu
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+ - Datasets 4.4.1
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+ - Tokenizers 0.22.1