End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-base-p2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: eksplorasi_model
+  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. -->
+
+# eksplorasi_model
+
+This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3647
+- Accuracy: 0.8529
+- F1: 0.9153
+- Precision: 0.8710
+- Recall: 0.9643
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 17   | 0.3647          | 0.8529   | 0.9153 | 0.8710    | 0.9643 |
+| No log        | 2.0   | 34   | 0.4506          | 0.8529   | 0.9091 | 0.9259    | 0.8929 |
+| No log        | 3.0   | 51   | 0.5964          | 0.8529   | 0.9153 | 0.8710    | 0.9643 |
+| No log        | 4.0   | 68   | 0.6727          | 0.8235   | 0.8929 | 0.8929    | 0.8929 |
+| No log        | 5.0   | 85   | 0.6488          | 0.8235   | 0.8966 | 0.8667    | 0.9286 |
+| No log        | 6.0   | 102  | 0.6798          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+| No log        | 7.0   | 119  | 0.7034          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+| No log        | 8.0   | 136  | 0.6960          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+| No log        | 9.0   | 153  | 0.7040          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+| No log        | 10.0  | 170  | 0.7053          | 0.8529   | 0.9123 | 0.8966    | 0.9286 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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