End of training

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+base_model: aubmindlab/bert-large-arabertv02
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: EOS_bert
+  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. -->
+
+# EOS_bert
+
+This model is a fine-tuned version of [aubmindlab/bert-large-arabertv02](https://huggingface.co/aubmindlab/bert-large-arabertv02) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0007
+- Accuracy: 1.0
+
+## 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: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 57   | 0.5427          | 0.81     |
+| No log        | 2.0   | 114  | 0.3237          | 0.91     |
+| No log        | 3.0   | 171  | 0.1998          | 0.97     |
+| No log        | 4.0   | 228  | 0.0504          | 1.0      |
+| No log        | 5.0   | 285  | 0.0290          | 1.0      |
+| No log        | 6.0   | 342  | 0.0033          | 1.0      |
+| No log        | 7.0   | 399  | 0.0026          | 1.0      |
+| No log        | 8.0   | 456  | 0.0009          | 1.0      |
+| 0.2254        | 9.0   | 513  | 0.0007          | 1.0      |
+| 0.2254        | 10.0  | 570  | 0.0007          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4334ecefb43801a19670b1d8a2a226ff8f7f297a470ddebdeaa982bf5d437226
+oid sha256:0443fed8e95cc7395a04d74392566d228d937a8fbf5d7c177e411dd59aa99a05
 size 1477748744

runs/Nov20_16-47-01_02a7cc808713/events.out.tfevents.1732121222.02a7cc808713.309.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:74d38df7164b45d39f0b1e9be31c4be5cc10fd76ba2e4218964fcc5debcb30bb
-size 8216
+oid sha256:19f0ebf1cb720e9052698a987a5caf778f936a37d6b82effa4ac95355bae1309
+size 8893