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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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<!-- 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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# bert-large-cased-sigir-LR100-0-prepend-40 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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 |
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