End of training

README.md

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+---
+license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: POEMS-CAMELBERT-CA-RUN4
+  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. -->
+
+# POEMS-CAMELBERT-CA-RUN4
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1498
+- Accuracy: 0.5966
+- F1: 0.5966
+- Precision: 0.5966
+- Recall: 0.5966
+
+## 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: 5e-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 | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.3444        | 1.0   | 472  | 1.2277          | 0.4552   | 0.4552 | 0.4552    | 0.4552 |
+| 1.1589        | 2.0   | 944  | 1.0866          | 0.5275   | 0.5275 | 0.5275    | 0.5275 |
+| 1.0829        | 3.0   | 1416 | 1.1405          | 0.5146   | 0.5146 | 0.5146    | 0.5146 |
+| 1.0           | 4.0   | 1888 | 1.0262          | 0.5643   | 0.5643 | 0.5643    | 0.5643 |
+| 0.9288        | 5.0   | 2360 | 1.0574          | 0.5762   | 0.5762 | 0.5762    | 0.5762 |
+| 0.8776        | 6.0   | 2832 | 1.0456          | 0.5838   | 0.5838 | 0.5838    | 0.5838 |
+| 0.8166        | 7.0   | 3304 | 1.1421          | 0.5745   | 0.5745 | 0.5745    | 0.5745 |
+| 0.7636        | 8.0   | 3776 | 1.0959          | 0.5931   | 0.5931 | 0.5931    | 0.5931 |
+| 0.7173        | 9.0   | 4248 | 1.1400          | 0.5851   | 0.5851 | 0.5851    | 0.5851 |
+| 0.6915        | 10.0  | 4720 | 1.1498          | 0.5966   | 0.5966 | 0.5966    | 0.5966 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2