End of training

README.md

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+---
+base_model: klue/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: pogny-32-0.00002-all
+  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. -->
+
+# pogny-32-0.00002-all
+
+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: 0.7240
+- Accuracy: 0.7471
+- F1: 0.7431
+
+## 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: 64
+- eval_batch_size: 64
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7302        | 1.0   | 2554 | 0.7201          | 0.7316   | 0.7228 |
+| 0.5954        | 2.0   | 5108 | 0.6838          | 0.7487   | 0.7418 |
+| 0.4596        | 3.0   | 7662 | 0.7240          | 0.7471   | 0.7431 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0a0+b5021ba
+- Datasets 2.6.2
+- Tokenizers 0.14.1