End of training

README.md

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+---
+license: apache-2.0
+base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: POEMS-CAMELBERT-MSA-RUN1
+  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-MSA-RUN1
+
+This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3027
+- Accuracy: 0.6095
+- F1: 0.6095
+- Precision: 0.6095
+- Recall: 0.6095
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.1666        | 1.0   | 472  | 1.0300          | 0.5616   | 0.5616 | 0.5616    | 0.5616 |
+| 0.9373        | 2.0   | 944  | 0.9775          | 0.5909   | 0.5909 | 0.5909    | 0.5909 |
+| 0.6934        | 3.0   | 1416 | 1.0062          | 0.6028   | 0.6028 | 0.6028    | 0.6028 |
+| 0.4482        | 4.0   | 1888 | 1.1210          | 0.6157   | 0.6157 | 0.6157    | 0.6157 |
+| 0.2653        | 5.0   | 2360 | 1.3027          | 0.6095   | 0.6095 | 0.6095    | 0.6095 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2