End of training

README.md

@@ -1,7 +1,64 @@
 ---
+license: cc-by-sa-4.0
+base_model: klue/bert-base
+tags:
+- generated_from_trainer
 metrics:
 - accuracy
-base_model:
-- klue/bert-base
-pipeline_tag: text-classification
----
+- f1
+- precision
+- recall
+model-index:
+- name: nmsc_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. -->
+
+# nmsc_classifier
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3765
+- Accuracy: 0.9015
+- F1: 0.9030
+- Precision: 0.8956
+- Recall: 0.9105
+- Auroc: 0.9014
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.5.1+cu124
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:be365624a6049a7d7e6e20b6793f1f602d36d32adb799160ccb05de130c25e4c
+oid sha256:36fb658706b5c0481237070f94386ad2b33eb45dc413dd47e7006d08365123b0
 size 442499064