| | ---
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| | base_model: alsgyu/sentiment-analysis-fine-tuned-model
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| | tags:
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| | - generated_from_trainer
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| | metrics:
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| | - accuracy
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| | model-index:
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| | - name: kcbert-interview-sentiment-ex1
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| | results: []
|
| | ---
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| |
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| | <!-- 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. -->
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| |
|
| | # kcbert-interview-sentiment-ex1
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| |
|
| | This model is a fine-tuned version of [alsgyu/sentiment-analysis-fine-tuned-model](https://huggingface.co/alsgyu/sentiment-analysis-fine-tuned-model) on the None dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 0.8484
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| | - Accuracy: 0.8331
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| | - Macro F1: 0.7797
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| | - Weighted F1: 0.8382
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 2e-05
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| | - train_batch_size: 16
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| | - eval_batch_size: 16
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| | - seed: 42
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| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| | - lr_scheduler_type: linear
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| | - lr_scheduler_warmup_ratio: 0.06
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| | - num_epochs: 3
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| | - mixed_precision_training: Native AMP
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Weighted F1 |
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| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
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| | | 0.2373 | 1.0 | 999 | 0.6532 | 0.8247 | 0.7701 | 0.8299 |
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| | | 0.1028 | 2.0 | 1998 | 0.7480 | 0.8347 | 0.7729 | 0.8391 |
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| | | 0.045 | 3.0 | 2997 | 0.8484 | 0.8331 | 0.7797 | 0.8382 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.40.2
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| | - Pytorch 2.8.0+cu128
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| | - Datasets 2.19.0
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| | - Tokenizers 0.19.1
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| | |
