End of training

README.md

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+---
+base_model: klue/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: cosmetic3_roberta
+  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. -->
+
+# cosmetic3_roberta
+
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3549
+- Accuracy: 0.8520
+- F1: 0.8563
+- Precision: 0.8640
+- Recall: 0.8526
+
+## 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-05
+- 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_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4186        | 1.0   | 277  | 0.2708          | 0.8877   | 0.8911 | 0.8933    | 0.8897 |
+| 0.3237        | 2.0   | 554  | 0.4175          | 0.8623   | 0.8624 | 0.8755    | 0.8727 |
+| 0.2054        | 3.0   | 831  | 0.4479          | 0.8986   | 0.9008 | 0.9087    | 0.9055 |
+| 0.3151        | 4.0   | 1108 | 0.3885          | 0.9130   | 0.9154 | 0.9163    | 0.9173 |
+| 0.1832        | 5.0   | 1385 | 0.4418          | 0.9094   | 0.9120 | 0.9122    | 0.9132 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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special_tokens_map.json

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