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---
license: apache-2.0
base_model: monologg/koelectra-base-v3-discriminator
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: koelectra-base-v3-discriminator-KEmoFact-0925
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. -->
# koelectra-base-v3-discriminator-KEmoFact-0925
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.
It achieves the following results on the evaluation set:
- Loss: 1.0290
- Precision: 0.1739
- Recall: 0.2415
- F1: 0.2022
- Accuracy: 0.7191
- Jaccard Scores: 0.6892
- Cls Accuracy: 0.6197
## 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: 5e-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
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Jaccard Scores | Cls Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:--------------:|:------------:|
| No log | 1.0 | 414 | 1.1425 | 0.0698 | 0.0726 | 0.0711 | 0.7029 | 0.4752 | 0.4204 |
| 1.4439 | 2.0 | 828 | 1.0332 | 0.1119 | 0.1676 | 0.1342 | 0.7112 | 0.6452 | 0.5753 |
| 0.9159 | 3.0 | 1242 | 0.9799 | 0.1438 | 0.1912 | 0.1642 | 0.7302 | 0.6322 | 0.5977 |
| 0.6814 | 4.0 | 1656 | 1.0124 | 0.1512 | 0.2064 | 0.1745 | 0.7265 | 0.6575 | 0.6189 |
| 0.538 | 5.0 | 2070 | 1.0331 | 0.1582 | 0.2199 | 0.1840 | 0.7205 | 0.6682 | 0.6195 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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