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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-EFE-0927 |
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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-EFE-0927 |
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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: 0.5635 |
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- Precision: 0.3754 |
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- Recall: 0.4417 |
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- F1: 0.4058 |
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- Ov Accuracy: 0.8248 |
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- Jaccard: 0.7349 |
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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 | 0.4083 | 0.3175 | 0.3909 | 0.3504 | 0.8258 | 0.6953 | |
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| 0.4405 | 2.0 | 828 | 0.4039 | 0.3208 | 0.4078 | 0.3591 | 0.8256 | 0.7080 | |
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| 0.3005 | 3.0 | 1242 | 0.4682 | 0.3448 | 0.4123 | 0.3755 | 0.8251 | 0.7108 | |
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| 0.207 | 4.0 | 1656 | 0.5329 | 0.3451 | 0.4218 | 0.3797 | 0.8207 | 0.7076 | |
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| 0.1468 | 5.0 | 2070 | 0.5888 | 0.3456 | 0.4235 | 0.3806 | 0.8182 | 0.7093 | |
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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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