| --- |
| base_model: KISTI-AI/scideberta-cs |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: scideberta-cs-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. --> |
|
|
| # scideberta-cs-ner |
|
|
| This model is a fine-tuned version of [KISTI-AI/scideberta-cs](https://huggingface.co/KISTI-AI/scideberta-cs) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1552 |
| - Precision: 0.4943 |
| - Recall: 0.5475 |
| - F1: 0.5195 |
| - Accuracy: 0.9589 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 1.0 | 60 | 0.1980 | 0.3445 | 0.2723 | 0.3042 | 0.9530 | |
| | No log | 2.0 | 120 | 0.1579 | 0.4444 | 0.4358 | 0.4401 | 0.9582 | |
| | No log | 3.0 | 180 | 0.1520 | 0.4751 | 0.5321 | 0.5020 | 0.9568 | |
| | No log | 4.0 | 240 | 0.1518 | 0.4955 | 0.5433 | 0.5183 | 0.9592 | |
| | No log | 5.0 | 300 | 0.1552 | 0.4943 | 0.5475 | 0.5195 | 0.9589 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
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|
