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--- |
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license: mit |
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base_model: numind/NuNER-v2.0 |
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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: nuner-v2_fewnerd_fine_super |
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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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# nuner-v2_fewnerd_fine_super |
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This model is a fine-tuned version of [numind/NuNER-v2.0](https://huggingface.co/numind/NuNER-v2.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2362 |
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- Precision: 0.6810 |
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- Recall: 0.7160 |
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- F1: 0.6981 |
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- Accuracy: 0.9313 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4 |
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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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| 0.2602 | 1.0 | 2059 | 0.2486 | 0.6570 | 0.7031 | 0.6793 | 0.9270 | |
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| 0.2199 | 2.0 | 4118 | 0.2369 | 0.6791 | 0.7043 | 0.6915 | 0.9302 | |
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| 0.2052 | 3.0 | 6177 | 0.2349 | 0.6785 | 0.7143 | 0.6959 | 0.9312 | |
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| 0.1835 | 4.0 | 8236 | 0.2362 | 0.6810 | 0.7160 | 0.6981 | 0.9313 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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