End of training
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- model.safetensors +1 -1
README.md
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---
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base_model: klue/roberta-base
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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: klue-roberta-base-ner-identified
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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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# klue-roberta-base-ner-identified
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0167
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- Precision: 0.9865
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- Recall: 0.9938
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- F1: 0.9901
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- Accuracy: 0.9982
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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: 64
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- eval_batch_size: 64
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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: 3
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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 | 61 | 0.0293 | 0.9462 | 0.9802 | 0.9629 | 0.9954 |
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| No log | 2.0 | 122 | 0.0194 | 0.9901 | 0.9913 | 0.9907 | 0.9976 |
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| No log | 3.0 | 183 | 0.0167 | 0.9865 | 0.9938 | 0.9901 | 0.9982 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 440198596
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version https://git-lfs.github.com/spec/v1
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size 440198596
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