| | --- |
| | license: apache-2.0 |
| | base_model: monologg/koelectra-base-v3-discriminator |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: kc_electra_base_ner |
| | 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. --> |
| |
|
| | # kc_electra_base_ner |
| | |
| | This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3099 |
| | - F1: 0.7688 |
| | |
| | ## 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: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:-----:|:---------------:|:------:| |
| | | No log | 1.0 | 2532 | 0.3136 | 0.6236 | |
| | | No log | 2.0 | 5064 | 0.2314 | 0.7118 | |
| | | No log | 3.0 | 7596 | 0.2052 | 0.7407 | |
| | | No log | 4.0 | 10128 | 0.2022 | 0.7541 | |
| | | No log | 5.0 | 12660 | 0.2120 | 0.7571 | |
| | | No log | 6.0 | 15192 | 0.2289 | 0.7562 | |
| | | No log | 7.0 | 17724 | 0.2488 | 0.7575 | |
| | | No log | 8.0 | 20256 | 0.2745 | 0.7645 | |
| | | No log | 9.0 | 22788 | 0.2912 | 0.7677 | |
| | | No log | 10.0 | 25320 | 0.3099 | 0.7688 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
