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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-cased-20
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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-cased-20
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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: 2.5289
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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: 2e-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: 20.0
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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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| 7.0635 | 1.0 | 1 | 6.6184 |
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| 7.131 | 2.0 | 2 | 7.0072 |
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| 7.0969 | 3.0 | 3 | 5.8833 |
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| 6.087 | 4.0 | 4 | 5.2094 |
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| 5.8314 | 5.0 | 5 | 5.3317 |
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| 5.1807 | 6.0 | 6 | 5.0294 |
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| 5.0853 | 7.0 | 7 | 4.3234 |
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| 4.5785 | 8.0 | 8 | 4.0070 |
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| 4.0047 | 9.0 | 9 | 3.5287 |
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| 3.5236 | 10.0 | 10 | 4.0761 |
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| 4.2192 | 11.0 | 11 | 3.2353 |
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| 3.6715 | 12.0 | 12 | 3.6203 |
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| 3.4242 | 13.0 | 13 | 2.7801 |
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| 3.1152 | 14.0 | 14 | 3.6127 |
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| 2.9266 | 15.0 | 15 | 2.2571 |
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| 3.4507 | 16.0 | 16 | 2.8120 |
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| 3.0439 | 17.0 | 17 | 3.1393 |
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| 2.6443 | 18.0 | 18 | 3.4350 |
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| 2.8907 | 19.0 | 19 | 1.0329 |
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| 2.8591 | 20.0 | 20 | 2.0586 |
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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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