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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-finetuned-low20-1-cased-DA-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-finetuned-low20-1-cased-DA-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: 1.0643
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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: 64
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- eval_batch_size: 64
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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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| 2.5949 | 1.0 | 1 | 2.1115 |
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| 2.0432 | 2.0 | 2 | 1.1308 |
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| 1.8673 | 3.0 | 3 | 2.9839 |
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| 2.148 | 4.0 | 4 | 3.1041 |
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| 2.3452 | 5.0 | 5 | 0.8330 |
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| 2.7264 | 6.0 | 6 | 0.4304 |
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| 2.2264 | 7.0 | 7 | 0.7261 |
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| 1.7837 | 8.0 | 8 | 2.6532 |
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| 2.1499 | 9.0 | 9 | 1.0848 |
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| 1.8867 | 10.0 | 10 | 1.6630 |
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| 2.1755 | 11.0 | 11 | 0.9400 |
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| 2.3771 | 12.0 | 12 | 2.6569 |
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| 1.9036 | 13.0 | 13 | 2.8530 |
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| 2.6166 | 14.0 | 14 | 0.5954 |
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| 2.568 | 15.0 | 15 | 2.6136 |
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| 2.5912 | 16.0 | 16 | 2.6986 |
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| 1.245 | 17.0 | 17 | 2.1147 |
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| 2.1394 | 18.0 | 18 | 1.0086 |
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| 1.6254 | 19.0 | 19 | 2.1770 |
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| 1.9212 | 20.0 | 20 | 1.0643 |
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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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