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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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- f1
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- recall
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- accuracy
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model-index:
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- name: Electra-Thesis-NonKFold
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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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# Electra-Thesis-NonKFold
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4914
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- F1: 0.6390
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- Recall: 0.6390
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- Accuracy: 0.6390
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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: 32
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- eval_batch_size: 32
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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 | F1 | Recall | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:--------:|
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| 1.6531 | 1.0 | 1446 | 1.3688 | 0.5851 | 0.5851 | 0.5851 |
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| 1.2404 | 2.0 | 2892 | 1.2674 | 0.6230 | 0.6230 | 0.6230 |
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| 1.0544 | 3.0 | 4338 | 1.2389 | 0.6322 | 0.6322 | 0.6322 |
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| 0.9189 | 4.0 | 5784 | 1.2293 | 0.6376 | 0.6376 | 0.6376 |
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| 0.8034 | 5.0 | 7230 | 1.3130 | 0.6384 | 0.6384 | 0.6384 |
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| 0.7351 | 6.0 | 8676 | 1.3463 | 0.6390 | 0.6390 | 0.6390 |
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| 0.6481 | 7.0 | 10122 | 1.3858 | 0.6385 | 0.6385 | 0.6385 |
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| 0.5885 | 8.0 | 11568 | 1.4379 | 0.6372 | 0.6372 | 0.6372 |
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| 0.5533 | 9.0 | 13014 | 1.4792 | 0.6344 | 0.6344 | 0.6344 |
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| 0.5285 | 10.0 | 14460 | 1.4914 | 0.6390 | 0.6390 | 0.6390 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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