training completed!
Browse files- README.md +62 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: skt/kobert-base-v1
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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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- f1
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model-index:
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- name: kobert-base-v1-finetuned
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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
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should probably proofread and complete it, then remove this comment. -->
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# kobert-base-v1-finetuned
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This model is a fine-tuned version of [skt/kobert-base-v1](https://huggingface.co/skt/kobert-base-v1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0882
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- Accuracy: 0.9695
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- F1: 0.9696
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 250 | 0.0830 | 0.97 | 0.9699 |
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| No log | 2.0 | 500 | 0.0882 | 0.9695 | 0.9696 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 368822065
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version https://git-lfs.github.com/spec/v1
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size 368822065
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