Model save

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bert-base-multilingual-cased-twitter-indonesia-sarcastic
+  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. -->
+
+# bert-base-multilingual-cased-twitter-indonesia-sarcastic
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8350
+- Accuracy: 0.8209
+- F1: 0.5385
+- Precision: 0.7568
+- Recall: 0.4179
+
+## 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: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.5333        | 1.0   | 59   | 0.4792          | 0.75     | 0.0    | 0.0       | 0.0    |
+| 0.4642        | 2.0   | 118  | 0.4418          | 0.7910   | 0.3    | 0.9231    | 0.1791 |
+| 0.3961        | 3.0   | 177  | 0.4319          | 0.8134   | 0.5192 | 0.7297    | 0.4030 |
+| 0.325         | 4.0   | 236  | 0.5264          | 0.7463   | 0.6180 | 0.4955    | 0.8209 |
+| 0.2432        | 5.0   | 295  | 0.4624          | 0.8246   | 0.6299 | 0.6667    | 0.5970 |
+| 0.1819        | 6.0   | 354  | 0.4261          | 0.8731   | 0.7069 | 0.8367    | 0.6119 |
+| 0.148         | 7.0   | 413  | 0.5371          | 0.8545   | 0.6777 | 0.7593    | 0.6119 |
+| 0.0995        | 8.0   | 472  | 0.6810          | 0.8396   | 0.6767 | 0.6818    | 0.6716 |
+| 0.0843        | 9.0   | 531  | 0.8350          | 0.8209   | 0.5385 | 0.7568    | 0.4179 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

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