Model save

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+license: mit
+base_model: artiwise-ai/modernbert-base-tr-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: ModernBERT-domain-classifier
+  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. -->
+
+# ModernBERT-domain-classifier
+
+This model is a fine-tuned version of [artiwise-ai/modernbert-base-tr-uncased](https://huggingface.co/artiwise-ai/modernbert-base-tr-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2734
+- Accuracy: 0.9514
+- Precision: 0.9180
+- Recall: 0.9825
+- F1: 0.9492
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2843        | 1.0   | 124  | 0.2695          | 0.9150   | 0.8780    | 0.9474 | 0.9114 |
+| 0.1242        | 2.0   | 248  | 0.2612          | 0.9514   | 0.9113    | 0.9912 | 0.9496 |
+| 0.009         | 3.0   | 372  | 0.2455          | 0.9514   | 0.9180    | 0.9825 | 0.9492 |
+| 0.0017        | 4.0   | 496  | 0.2675          | 0.9514   | 0.9180    | 0.9825 | 0.9492 |
+| 0.0           | 5.0   | 620  | 0.2734          | 0.9514   | 0.9180    | 0.9825 | 0.9492 |
+
+
+### Framework versions
+
+- Transformers 4.52.2
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c70208aa9255ea91e5e374fd5560d2785c66981204116ca4f89e0e48389b7ab
+oid sha256:2d03836815aa52375bf88e42ba9d64d63bb94172d051be7c43550d6b52b10502
 size 542013288