Model save

README.md

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+---
+base_model: klue/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-interview-intent
+  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-interview-intent
+
+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: 1.8618
+- Accuracy: 0.6771
+- Macro F1: 0.4469
+- Weighted F1: 0.6798
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
+| 1.8294        | 1.0   | 859  | 1.4177          | 0.6630   | 0.3062   | 0.6381      |
+| 0.7746        | 2.0   | 1718 | 1.3270          | 0.6777   | 0.3558   | 0.6590      |
+| 0.5419        | 3.0   | 2577 | 1.3263          | 0.6806   | 0.4224   | 0.6715      |
+| 0.3855        | 4.0   | 3436 | 1.4520          | 0.6775   | 0.4342   | 0.6726      |
+| 0.2805        | 5.0   | 4295 | 1.5418          | 0.6775   | 0.4364   | 0.6767      |
+| 0.2026        | 6.0   | 5154 | 1.5926          | 0.6734   | 0.4439   | 0.6771      |
+| 0.1448        | 7.0   | 6013 | 1.7215          | 0.6775   | 0.4451   | 0.6802      |
+| 0.106         | 8.0   | 6872 | 1.8030          | 0.6728   | 0.4492   | 0.6781      |
+| 0.0778        | 9.0   | 7731 | 1.8198          | 0.6806   | 0.4518   | 0.6828      |
+| 0.0611        | 10.0  | 8590 | 1.8618          | 0.6771   | 0.4469   | 0.6798      |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.8.0+cu128
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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