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results_araelectra
Salajmi1/results_araelectra
results_araelectra is a text classification model from Salajmi1. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025
- SHA
- cfc7a02f
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
results_araelectra
This model is a fine-tuned version of aubmindlab/araelectra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3534
- Accuracy: 0.8922
- F1: 0.8114
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 94 | 0.6014 | 0.8084 | 0.5763 |
| No log | 2.0 | 188 | 0.4269 | 0.8862 | 0.7944 |
| No log | 3.0 | 282 | 0.3534 | 0.8922 | 0.8114 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025