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: sentiment-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. -->
+
+# sentiment-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: 0.6966
+- Accuracy: 0.8455
+- Precision: 0.7812
+- Recall: 0.7567
+- F1: 0.7675
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6236        | 1.0   | 90   | 0.5920          | 0.8049   | 0.5358    | 0.5904 | 0.5575 |
+| 0.363         | 2.0   | 180  | 0.4065          | 0.8374   | 0.7515    | 0.7181 | 0.7322 |
+| 0.1506        | 3.0   | 270  | 0.4414          | 0.8537   | 0.8191    | 0.7303 | 0.7606 |
+| 0.0619        | 4.0   | 360  | 0.6592          | 0.8496   | 0.8036    | 0.7151 | 0.7420 |
+| 0.0261        | 5.0   | 450  | 0.6966          | 0.8455   | 0.7812    | 0.7567 | 0.7675 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Jul11_13-27-27_db686645e70c/events.out.tfevents.1720704450.db686645e70c.2701.0

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