End of Training

README.md

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+---
+license: apache-2.0
+base_model: AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: DistilBERT-Rating-Prediction
+  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. -->
+
+# DistilBERT-Rating-Prediction
+
+This model is a fine-tuned version of [AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned](https://huggingface.co/AptaArkana/indonesian-emotion-distilbert-base-cased-finetuned) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7984
+- F1: 0.3777
+
+## 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: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.15
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.8015        | 1.0   | 91   | 0.8115          | 0.3237 |
+| 0.7196        | 2.0   | 182  | 0.7959          | 0.3462 |
+| 0.3817        | 3.0   | 273  | 0.7917          | 0.3709 |
+| 0.3347        | 4.0   | 364  | 0.7939          | 0.3666 |
+| 0.489         | 5.0   | 455  | 0.7984          | 0.3777 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2