Model save

README.md

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+---
+license: apache-2.0
+base_model: Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indonesian-emotion-distilbert-base-cased-finetuned
+  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. -->
+
+# indonesian-emotion-distilbert-base-cased-finetuned
+
+This model is a fine-tuned version of [Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion](https://huggingface.co/Toshifumi/distilbert-base-multilingual-cased-finetuned-emotion) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3309
+- Accuracy: 0.9299
+- Precision: 0.9299
+- Recall: 0.9299
+- F1: 0.9299
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.2189        | 1.0   | 2747  | 0.2818          | 0.9179   | 0.9179    | 0.9179 | 0.9179 |
+| 0.1878        | 2.0   | 5494  | 0.2642          | 0.9207   | 0.9207    | 0.9207 | 0.9207 |
+| 0.1569        | 3.0   | 8241  | 0.2835          | 0.9273   | 0.9273    | 0.9273 | 0.9273 |
+| 0.1379        | 4.0   | 10988 | 0.3153          | 0.9274   | 0.9274    | 0.9274 | 0.9274 |
+| 0.1125        | 5.0   | 13735 | 0.3309          | 0.9299   | 0.9299    | 0.9299 | 0.9299 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

runs/Mar11_08-23-09_d3191c488446/events.out.tfevents.1710156912.d3191c488446.157.2

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