Model save

README.md

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+---
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: sa-tapera
+  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. -->
+
+# sa-tapera
+
+This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5534
+- Accuracy: 0.8973
+- Precision: 0.9031
+- Recall: 0.8973
+- F1: 0.8997
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5638        | 1.0   | 107  | 0.4124          | 0.8527   | 0.8624    | 0.8429 | 0.8504 |
+| 0.1947        | 2.0   | 214  | 0.4518          | 0.8938   | 0.9112    | 0.8840 | 0.8933 |
+| 0.0754        | 3.0   | 321  | 0.5060          | 0.8904   | 0.8937    | 0.8967 | 0.8950 |
+| 0.0192        | 4.0   | 428  | 0.5699          | 0.8973   | 0.9016    | 0.8962 | 0.8981 |
+| 0.0092        | 5.0   | 535  | 0.5534          | 0.8973   | 0.9031    | 0.8973 | 0.8997 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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