End of training

README.md

@@ -0,0 +1,59 @@
+---
+library_name: transformers
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: Classify_Kalimat
+  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. -->
+
+# Classify_Kalimat
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1764
+
+## 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: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3647        | 1.0   | 911  | 0.1811          |
+| 0.1172        | 2.0   | 1822 | 0.1548          |
+| 0.0629        | 3.0   | 2733 | 0.1764          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed8d088066df639f16eed7c3ceb31754b52aaf264f9439593033aae01d0b618f
+oid sha256:e35f2d9167d830d0e82a87e2ff1dd1002e405f57681edaca2997e80a8346bf36
 size 540815376