Model save

README.md

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+---
+base_model: PureFighter/autotrain-topic-classification
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: arabertv2-topic-classification-finetuned
+  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. -->
+
+# arabertv2-topic-classification-finetuned
+
+This model is a fine-tuned version of [PureFighter/autotrain-topic-classification](https://huggingface.co/PureFighter/autotrain-topic-classification) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5776
+- Accuracy: 0.8383
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.1143        | 0.6667 | 250  | 0.9106          | 0.7455   |
+| 0.573         | 1.3333 | 500  | 0.6648          | 0.7994   |
+| 0.5023        | 2.0    | 750  | 0.6021          | 0.8323   |
+| 0.3985        | 2.6667 | 1000 | 0.5776          | 0.8383   |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.2.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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