End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
+tags:
+- generated_from_trainer
+datasets:
+- indonlu
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuning-sentiment-model-indonlu-samples-v2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: indonlu
+      type: indonlu
+      config: smsa
+      split: test
+      args: smsa
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.854
+    - name: F1
+      type: f1
+      value: 0.795899593140993
+---
+
+<!-- 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. -->
+
+# finetuning-sentiment-model-indonlu-samples-v2
+
+This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the indonlu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5230
+- Accuracy: 0.854
+- F1: 0.7959
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.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: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

runs/Apr16_03-49-49_6646b4d09f89/events.out.tfevents.1744775904.6646b4d09f89.516.2

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