End of training

README.md

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+---
+license: mit
+base_model: w11wo/indonesian-roberta-base-sentiment-classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2671
+- Accuracy: 0.9051
+- Precision: 0.9004
+- Recall: 0.9051
+- F1: 0.9007
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2786        | 0.9992 | 589  | 0.2370          | 0.9109   | 0.9053    | 0.9109 | 0.9060 |
+| 0.2205        | 2.0    | 1179 | 0.2626          | 0.9143   | 0.9175    | 0.9143 | 0.9154 |
+| 0.1252        | 2.9992 | 1768 | 0.3468          | 0.9169   | 0.9160    | 0.9169 | 0.9164 |
+| 0.0869        | 4.0    | 2358 | 0.4000          | 0.9220   | 0.9200    | 0.9220 | 0.9208 |
+| 0.0147        | 4.9958 | 2945 | 0.4424          | 0.9220   | 0.9180    | 0.9220 | 0.9194 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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