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--- |
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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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- precision |
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- recall |
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model-index: |
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- name: AraElectra-finetuned-CrossVal-fnd |
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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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# AraElectra-finetuned-CrossVal-fnd |
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This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5165 |
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- Macro F1: 0.8697 |
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- Accuracy: 0.8744 |
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- Precision: 0.8714 |
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- Recall: 0.8682 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 123 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:| |
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| 0.3422 | 1.0 | 798 | 0.3336 | 0.8589 | 0.8615 | 0.8563 | 0.8652 | |
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| 0.216 | 2.0 | 1597 | 0.3460 | 0.8658 | 0.8714 | 0.8705 | 0.8624 | |
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| 0.1504 | 3.0 | 2395 | 0.5448 | 0.8485 | 0.8568 | 0.8609 | 0.8420 | |
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| 0.0914 | 4.0 | 3192 | 0.5165 | 0.8697 | 0.8744 | 0.8714 | 0.8682 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.2 |
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