update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: res
+  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. -->
+
+# res
+
+This model is a fine-tuned version of [salti/AraElectra-base-finetuned-ARCD](https://huggingface.co/salti/AraElectra-base-finetuned-ARCD) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1732
+- F1-macro: 0.6754
+
+## 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: 8e-05
+- train_batch_size: 40
+- eval_batch_size: 80
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 229  | 0.5144          | 0.2375   |
+| No log        | 2.0   | 458  | 0.2974          | 0.3838   |
+| 0.7175        | 3.0   | 687  | 0.2268          | 0.6071   |
+| 0.7175        | 4.0   | 916  | 0.2206          | 0.5803   |
+| 0.2536        | 5.0   | 1145 | 0.1816          | 0.6773   |
+| 0.2536        | 6.0   | 1374 | 0.1713          | 0.6893   |
+| 0.1932        | 7.0   | 1603 | 0.1695          | 0.6832   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2