Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: PonXXI
+  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. -->
+
+# PonXXI
+
+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: 1.3259
+- Accuracy: 0.7457
+- Precision: 0.7431
+- Recall: 0.7429
+- F1: 0.7422
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.8207        | 1.0   | 214  | 0.7313          | 0.6928   | 0.7083    | 0.6928 | 0.6937 |
+| 0.6159        | 2.0   | 428  | 0.6846          | 0.7270   | 0.7421    | 0.7305 | 0.7250 |
+| 0.4666        | 3.0   | 642  | 0.7258          | 0.7270   | 0.7282    | 0.7243 | 0.7221 |
+| 0.349         | 4.0   | 856  | 0.8328          | 0.7406   | 0.7403    | 0.7368 | 0.7356 |
+| 0.2752        | 5.0   | 1070 | 0.8500          | 0.7406   | 0.7377    | 0.7387 | 0.7379 |
+| 0.224         | 6.0   | 1284 | 1.0037          | 0.7457   | 0.7425    | 0.7435 | 0.7424 |
+| 0.1883        | 7.0   | 1498 | 1.1039          | 0.7457   | 0.7446    | 0.7435 | 0.7437 |
+| 0.1518        | 8.0   | 1712 | 1.1535          | 0.7457   | 0.7439    | 0.7426 | 0.7420 |
+| 0.1372        | 9.0   | 1926 | 1.3070          | 0.7304   | 0.7273    | 0.7262 | 0.7241 |
+| 0.1195        | 10.0  | 2140 | 1.3259          | 0.7457   | 0.7431    | 0.7429 | 0.7422 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

model.safetensors

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runs/Oct20_14-19-53_dbb5ff4fde5b/events.out.tfevents.1729433995.dbb5ff4fde5b.1058.2

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