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README.md
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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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metrics:
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- accuracy
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- f1
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model-index:
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- name: bert-cased-exist-2
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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-cased-exist-2
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4661
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- Accuracy: 0.7762
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- F1: 0.7762
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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: 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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 194 | 0.5088 | 0.7558 | 0.7558 |
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| No log | 2.0 | 388 | 0.5242 | 0.7587 | 0.7587 |
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| 0.4312 | 3.0 | 582 | 0.6426 | 0.7471 | 0.7471 |
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| 0.4312 | 4.0 | 776 | 0.9929 | 0.7529 | 0.7529 |
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| 0.4312 | 5.0 | 970 | 1.1684 | 0.7645 | 0.7645 |
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| 0.104 | 6.0 | 1164 | 1.2257 | 0.7849 | 0.7849 |
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| 0.104 | 7.0 | 1358 | 1.4336 | 0.7645 | 0.7645 |
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| 0.0161 | 8.0 | 1552 | 1.3932 | 0.7762 | 0.7762 |
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| 0.0161 | 9.0 | 1746 | 1.4479 | 0.7820 | 0.7820 |
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| 0.0161 | 10.0 | 1940 | 1.4661 | 0.7762 | 0.7762 |
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### Framework versions
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- Transformers 4.27.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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