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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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model-index:
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- name: 20NG_ELECTRA_5E
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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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# 20NG_ELECTRA_5E
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8534
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- Accuracy: 0.1733
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.9938 | 0.07 | 50 | 2.9881 | 0.1067 |
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| 2.9879 | 0.14 | 100 | 2.9852 | 0.1133 |
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| 2.9842 | 0.21 | 150 | 2.9796 | 0.1333 |
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| 2.9722 | 0.28 | 200 | 2.9653 | 0.1733 |
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| 2.9559 | 0.35 | 250 | 2.9458 | 0.18 |
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| 2.9368 | 0.42 | 300 | 2.9257 | 0.1667 |
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| 2.9234 | 0.49 | 350 | 2.9101 | 0.18 |
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| 2.9094 | 0.56 | 400 | 2.8926 | 0.1733 |
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| 2.898 | 0.64 | 450 | 2.8810 | 0.18 |
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| 2.8941 | 0.71 | 500 | 2.8715 | 0.18 |
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| 2.8742 | 0.78 | 550 | 2.8646 | 0.1533 |
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| 2.8765 | 0.85 | 600 | 2.8597 | 0.1867 |
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| 2.8738 | 0.92 | 650 | 2.8555 | 0.1733 |
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| 2.866 | 0.99 | 700 | 2.8534 | 0.1733 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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