End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-lite-base-p1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: indobert-lite-base-p1-indonli-multilingual-nli-distil-mdeberta
+  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. -->
+
+# indobert-lite-base-p1-indonli-multilingual-nli-distil-mdeberta
+
+This model is a fine-tuned version of [indobenchmark/indobert-lite-base-p1](https://huggingface.co/indobenchmark/indobert-lite-base-p1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5005
+- Accuracy: 0.6545
+- F1: 0.6524
+- Precision: 0.6615
+- Recall: 0.6577
+
+## 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: 64
+- eval_batch_size: 64
+- 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 | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4808        | 1.0   | 1803 | 0.4418          | 0.7683   | 0.7593 | 0.7904    | 0.7554 |
+| 0.4529        | 2.0   | 3606 | 0.4343          | 0.7738   | 0.7648 | 0.7893    | 0.7619 |
+| 0.4263        | 3.0   | 5409 | 0.4383          | 0.7861   | 0.7828 | 0.7874    | 0.7807 |
+| 0.398         | 4.0   | 7212 | 0.4456          | 0.7792   | 0.7767 | 0.7792    | 0.7756 |
+| 0.3772        | 5.0   | 9015 | 0.4499          | 0.7711   | 0.7674 | 0.7700    | 0.7661 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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runs/Jan31_04-28-42_bookbot-h100/events.out.tfevents.1706677820.bookbot-h100.488201.1

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