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