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alforhad
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unt_faqs_model

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distilbert
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  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: unt_faqs_model
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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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+ # unt_faqs_model
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.1017
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 12 | 5.4252 |
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+ | No log | 2.0 | 24 | 4.4929 |
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+ | No log | 3.0 | 36 | 3.8593 |
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+ | No log | 4.0 | 48 | 3.1898 |
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+ | No log | 5.0 | 60 | 3.2708 |
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+ | No log | 6.0 | 72 | 3.2766 |
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+ | No log | 7.0 | 84 | 3.6022 |
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+ | No log | 8.0 | 96 | 3.8336 |
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+ | No log | 9.0 | 108 | 4.0215 |
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+ | No log | 10.0 | 120 | 4.1909 |
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+ | No log | 11.0 | 132 | 4.4297 |
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+ | No log | 12.0 | 144 | 4.3085 |
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+ | No log | 13.0 | 156 | 4.4102 |
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+ | No log | 14.0 | 168 | 4.4956 |
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+ | No log | 15.0 | 180 | 4.8586 |
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+ | No log | 16.0 | 192 | 4.8999 |
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+ | No log | 17.0 | 204 | 4.6935 |
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+ | No log | 18.0 | 216 | 4.5933 |
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+ | No log | 19.0 | 228 | 4.5490 |
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+ | No log | 20.0 | 240 | 4.7068 |
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+ | No log | 21.0 | 252 | 4.7150 |
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+ | No log | 22.0 | 264 | 4.9225 |
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+ | No log | 23.0 | 276 | 4.7852 |
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+ | No log | 24.0 | 288 | 4.8968 |
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+ | No log | 25.0 | 300 | 4.9657 |
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+ | No log | 26.0 | 312 | 5.0764 |
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+ | No log | 27.0 | 324 | 5.0940 |
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+ | No log | 28.0 | 336 | 5.1408 |
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+ | No log | 29.0 | 348 | 5.3001 |
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+ | No log | 30.0 | 360 | 5.1304 |
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+ | No log | 31.0 | 372 | 5.4316 |
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+ | No log | 32.0 | 384 | 5.3884 |
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+ | No log | 33.0 | 396 | 5.4434 |
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+ | No log | 34.0 | 408 | 5.3642 |
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+ | No log | 35.0 | 420 | 5.5924 |
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+ | No log | 36.0 | 432 | 5.2098 |
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+ | No log | 37.0 | 444 | 5.3167 |
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+ | No log | 38.0 | 456 | 5.2808 |
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+ | No log | 39.0 | 468 | 5.3687 |
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+ | No log | 40.0 | 480 | 5.4625 |
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+ | No log | 41.0 | 492 | 5.4122 |
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+ | 0.6438 | 42.0 | 504 | 5.4850 |
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+ | 0.6438 | 43.0 | 516 | 5.4797 |
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+ | 0.6438 | 44.0 | 528 | 5.8061 |
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+ | 0.6438 | 45.0 | 540 | 5.8501 |
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+ | 0.6438 | 46.0 | 552 | 5.6079 |
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+ | 0.6438 | 47.0 | 564 | 5.6625 |
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+ | 0.6438 | 48.0 | 576 | 5.7005 |
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+ | 0.6438 | 49.0 | 588 | 5.6703 |
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+ | 0.6438 | 50.0 | 600 | 5.5704 |
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+ | 0.6438 | 51.0 | 612 | 5.7556 |
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+ | 0.6438 | 52.0 | 624 | 5.6541 |
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+ | 0.6438 | 53.0 | 636 | 5.7571 |
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+ | 0.6438 | 54.0 | 648 | 5.8092 |
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+ | 0.6438 | 55.0 | 660 | 5.8529 |
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+ | 0.6438 | 56.0 | 672 | 5.7974 |
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+ | 0.6438 | 57.0 | 684 | 6.0617 |
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+ | 0.6438 | 58.0 | 696 | 5.8630 |
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+ | 0.6438 | 59.0 | 708 | 5.8652 |
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+ | 0.6438 | 60.0 | 720 | 5.9569 |
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+ | 0.6438 | 61.0 | 732 | 6.0163 |
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+ | 0.6438 | 62.0 | 744 | 5.8635 |
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+ | 0.6438 | 63.0 | 756 | 6.1112 |
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+ | 0.6438 | 64.0 | 768 | 5.9750 |
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+ | 0.6438 | 65.0 | 780 | 5.7267 |
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+ | 0.6438 | 66.0 | 792 | 5.9968 |
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+ | 0.6438 | 67.0 | 804 | 5.9974 |
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+ | 0.6438 | 68.0 | 816 | 5.9145 |
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+ | 0.6438 | 69.0 | 828 | 5.8521 |
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+ | 0.6438 | 70.0 | 840 | 5.9012 |
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+ | 0.6438 | 71.0 | 852 | 5.9272 |
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+ | 0.6438 | 72.0 | 864 | 5.9137 |
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+ | 0.6438 | 73.0 | 876 | 5.9371 |
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+ | 0.6438 | 74.0 | 888 | 5.9811 |
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+ | 0.6438 | 75.0 | 900 | 6.0054 |
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+ | 0.6438 | 76.0 | 912 | 6.0101 |
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+ | 0.6438 | 77.0 | 924 | 6.0301 |
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+ | 0.6438 | 78.0 | 936 | 5.9783 |
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+ | 0.6438 | 79.0 | 948 | 5.9784 |
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+ | 0.6438 | 80.0 | 960 | 6.0630 |
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+ | 0.6438 | 81.0 | 972 | 6.1151 |
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+ | 0.6438 | 82.0 | 984 | 6.0869 |
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+ | 0.6438 | 83.0 | 996 | 6.0823 |
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+ | 0.0228 | 84.0 | 1008 | 6.0805 |
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+ | 0.0228 | 85.0 | 1020 | 6.0722 |
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+ | 0.0228 | 86.0 | 1032 | 6.0623 |
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+ | 0.0228 | 87.0 | 1044 | 6.0561 |
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+ | 0.0228 | 88.0 | 1056 | 6.0367 |
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+ | 0.0228 | 89.0 | 1068 | 6.0342 |
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+ | 0.0228 | 90.0 | 1080 | 6.0461 |
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+ | 0.0228 | 91.0 | 1092 | 6.0646 |
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+ | 0.0228 | 92.0 | 1104 | 6.0780 |
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+ | 0.0228 | 93.0 | 1116 | 6.0926 |
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+ | 0.0228 | 94.0 | 1128 | 6.0963 |
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+ | 0.0228 | 95.0 | 1140 | 6.1009 |
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+ | 0.0228 | 96.0 | 1152 | 6.1044 |
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+ | 0.0228 | 97.0 | 1164 | 6.1015 |
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+ | 0.0228 | 98.0 | 1176 | 6.1014 |
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+ | 0.0228 | 99.0 | 1188 | 6.1021 |
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+ | 0.0228 | 100.0 | 1200 | 6.1017 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.1+cpu
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2
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