End of training

README.md

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+---
+base_model: klue/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: hana-16-0.00002
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bella05/huggingface/runs/nyuf8fdp)
+# hana-16-0.00002
+
+This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8206
+- Accuracy: 0.7409
+- F1: 0.7354
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.7984        | 1.0   | 4388  | 0.8084          | 0.7169   | 0.6980 |
+| 0.6445        | 2.0   | 8776  | 0.7626          | 0.7288   | 0.7247 |
+| 0.4289        | 3.0   | 13164 | 0.8206          | 0.7409   | 0.7354 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.2.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1