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: gacha_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. -->
+
+# gacha_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: 0.4437
+- Accuracy: 0.8065
+- F1: 0.7877
+- Precision: 0.8105
+- Recall: 0.7662
+
+## 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   | 215  | 0.4437          | 0.8065   | 0.7877 | 0.8105    | 0.7662 |
+| No log        | 2.0   | 430  | 0.4728          | 0.8042   | 0.7766 | 0.8343    | 0.7264 |
+| 0.343         | 3.0   | 645  | 0.7781          | 0.8089   | 0.7940 | 0.8020    | 0.7861 |
+| 0.343         | 4.0   | 860  | 0.9427          | 0.8089   | 0.7842 | 0.8324    | 0.7413 |
+| 0.0974        | 5.0   | 1075 | 1.1330          | 0.8089   | 0.7807 | 0.8439    | 0.7264 |
+| 0.0974        | 6.0   | 1290 | 1.2451          | 0.8019   | 0.7781 | 0.8187    | 0.7413 |
+| 0.0187        | 7.0   | 1505 | 1.2750          | 0.8205   | 0.7958 | 0.8523    | 0.7463 |
+| 0.0187        | 8.0   | 1720 | 1.3551          | 0.8135   | 0.7849 | 0.8538    | 0.7264 |
+| 0.0187        | 9.0   | 1935 | 1.3652          | 0.8205   | 0.7979 | 0.8444    | 0.7562 |
+| 0.0018        | 10.0  | 2150 | 1.4262          | 0.8112   | 0.7817 | 0.8529    | 0.7214 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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runs/Jan13_07-23-48_3549ef653015/events.out.tfevents.1705131379.3549ef653015.1140.5

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