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bert-large-cased-sigir-LR100-0-prepend-40

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-large-cased-sigir-LR100-0-prepend-40
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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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+ # bert-large-cased-sigir-LR100-0-prepend-40
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+
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+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1764
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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: 4e-05
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+ - train_batch_size: 30
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+ - eval_batch_size: 30
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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: 40.0
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.6453 | 1.0 | 3 | 2.0522 |
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+ | 2.0488 | 2.0 | 6 | 1.7600 |
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+ | 1.9917 | 3.0 | 9 | 2.3036 |
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+ | 1.6084 | 4.0 | 12 | 1.4050 |
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+ | 1.856 | 5.0 | 15 | 1.3598 |
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+ | 1.6471 | 6.0 | 18 | 1.5274 |
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+ | 1.2358 | 7.0 | 21 | 1.6642 |
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+ | 1.4355 | 8.0 | 24 | 1.6109 |
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+ | 1.5753 | 9.0 | 27 | 1.8690 |
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+ | 1.5374 | 10.0 | 30 | 1.7986 |
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+ | 1.5063 | 11.0 | 33 | 1.4979 |
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+ | 1.2185 | 12.0 | 36 | 0.7390 |
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+ | 1.6042 | 13.0 | 39 | 1.1280 |
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+ | 1.1938 | 14.0 | 42 | 1.1252 |
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+ | 1.3215 | 15.0 | 45 | 1.6827 |
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+ | 1.0789 | 16.0 | 48 | 1.6349 |
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+ | 1.095 | 17.0 | 51 | 2.6303 |
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+ | 1.0088 | 18.0 | 54 | 0.9429 |
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+ | 1.015 | 19.0 | 57 | 1.4165 |
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+ | 1.2432 | 20.0 | 60 | 2.1061 |
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+ | 1.3365 | 21.0 | 63 | 1.5785 |
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+ | 1.2704 | 22.0 | 66 | 2.1850 |
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+ | 0.972 | 23.0 | 69 | 1.7769 |
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+ | 0.9052 | 24.0 | 72 | 1.5376 |
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+ | 0.976 | 25.0 | 75 | 2.1072 |
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+ | 1.1134 | 26.0 | 78 | 2.4425 |
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+ | 0.8328 | 27.0 | 81 | 1.5937 |
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+ | 1.1662 | 28.0 | 84 | 1.3542 |
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+ | 0.8575 | 29.0 | 87 | 1.2236 |
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+ | 0.728 | 30.0 | 90 | 1.2229 |
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+ | 1.1601 | 31.0 | 93 | 2.3723 |
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+ | 0.9426 | 32.0 | 96 | 1.6974 |
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+ | 0.8246 | 33.0 | 99 | 1.6610 |
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+ | 0.9777 | 34.0 | 102 | 1.1179 |
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+ | 0.7588 | 35.0 | 105 | 1.8809 |
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+ | 0.6929 | 36.0 | 108 | 1.9128 |
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+ | 0.6794 | 37.0 | 111 | 1.2689 |
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+ | 0.811 | 38.0 | 114 | 1.6715 |
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+ | 0.6805 | 39.0 | 117 | 2.0424 |
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+ | 0.9157 | 40.0 | 120 | 1.4210 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.9.0
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+ - Tokenizers 0.13.2