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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
model-index:
- name: Electra-Thesis-NonKFold
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Electra-Thesis-NonKFold
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4914
- F1: 0.6390
- Recall: 0.6390
- Accuracy: 0.6390
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:--------:|
| 1.6531 | 1.0 | 1446 | 1.3688 | 0.5851 | 0.5851 | 0.5851 |
| 1.2404 | 2.0 | 2892 | 1.2674 | 0.6230 | 0.6230 | 0.6230 |
| 1.0544 | 3.0 | 4338 | 1.2389 | 0.6322 | 0.6322 | 0.6322 |
| 0.9189 | 4.0 | 5784 | 1.2293 | 0.6376 | 0.6376 | 0.6376 |
| 0.8034 | 5.0 | 7230 | 1.3130 | 0.6384 | 0.6384 | 0.6384 |
| 0.7351 | 6.0 | 8676 | 1.3463 | 0.6390 | 0.6390 | 0.6390 |
| 0.6481 | 7.0 | 10122 | 1.3858 | 0.6385 | 0.6385 | 0.6385 |
| 0.5885 | 8.0 | 11568 | 1.4379 | 0.6372 | 0.6372 | 0.6372 |
| 0.5533 | 9.0 | 13014 | 1.4792 | 0.6344 | 0.6344 | 0.6344 |
| 0.5285 | 10.0 | 14460 | 1.4914 | 0.6390 | 0.6390 | 0.6390 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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