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README.md
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---
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license: apache-2.0
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base_model: monologg/koelectra-base-v3-discriminator
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: koelectra-base-v3-discriminator-KEmoFact-0925
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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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# koelectra-base-v3-discriminator-KEmoFact-0925
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This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1097
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- Precision: 0.3745
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- Recall: 0.4412
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- F1: 0.4051
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- Ov Accuracy: 0.9653
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- Jaccard: 0.7316
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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: 32
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- eval_batch_size: 32
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Ov Accuracy | Jaccard |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:-----------:|:-------:|
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| No log | 1.0 | 414 | 0.0797 | 0.3079 | 0.3881 | 0.3434 | 0.9655 | 0.6925 |
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| 0.0956 | 2.0 | 828 | 0.0807 | 0.3064 | 0.3960 | 0.3454 | 0.9654 | 0.7049 |
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| 0.0622 | 3.0 | 1242 | 0.0914 | 0.3319 | 0.4010 | 0.3632 | 0.9655 | 0.7073 |
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| 0.0426 | 4.0 | 1656 | 0.1005 | 0.3527 | 0.4224 | 0.3844 | 0.9660 | 0.7093 |
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| 0.0306 | 5.0 | 2070 | 0.1119 | 0.3450 | 0.4207 | 0.3791 | 0.9647 | 0.7082 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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