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: roberta-base-finetuned-tc
+  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. -->
+
+# roberta-base-finetuned-tc
+
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6339
+- Accuracy: 0.8293
+- F1: 0.8259
+- Precision: 0.8249
+- Recall: 0.8293
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 16   | 0.6302          | 0.8209   | 0.8055 | 0.8172    | 0.8209 |
+| No log        | 2.0   | 32   | 0.6061          | 0.8113   | 0.8011 | 0.8175    | 0.8113 |
+| No log        | 3.0   | 48   | 0.5938          | 0.8269   | 0.8203 | 0.8254    | 0.8269 |
+| No log        | 4.0   | 64   | 0.5889          | 0.8377   | 0.8311 | 0.8365    | 0.8377 |
+| No log        | 5.0   | 80   | 0.5907          | 0.8425   | 0.8387 | 0.8387    | 0.8425 |
+| No log        | 6.0   | 96   | 0.6237          | 0.8317   | 0.8289 | 0.8296    | 0.8317 |
+| No log        | 7.0   | 112  | 0.6401          | 0.8233   | 0.8209 | 0.8193    | 0.8233 |
+| No log        | 8.0   | 128  | 0.6498          | 0.8245   | 0.8204 | 0.8194    | 0.8245 |
+| No log        | 9.0   | 144  | 0.6413          | 0.8269   | 0.8233 | 0.8223    | 0.8269 |
+| No log        | 10.0  | 160  | 0.6339          | 0.8293   | 0.8259 | 0.8249    | 0.8293 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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