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--- |
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license: mit |
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base_model: numind/NuNER-v1.0 |
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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-v1_orgs |
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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-v1_orgs |
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This model is a fine-tuned version of [numind/NuNER-v1.0](https://huggingface.co/numind/NuNER-v1.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0631 |
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- Precision: 0.7912 |
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- Recall: 0.8045 |
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- F1: 0.7978 |
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- Accuracy: 0.9790 |
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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: 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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| 0.0631 | 1.0 | 1710 | 0.0566 | 0.7635 | 0.7952 | 0.7790 | 0.9778 | |
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| 0.0572 | 2.0 | 3420 | 0.0580 | 0.7816 | 0.7925 | 0.7870 | 0.9785 | |
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| 0.0429 | 3.0 | 5130 | 0.0562 | 0.7869 | 0.8084 | 0.7975 | 0.9790 | |
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| 0.0336 | 4.0 | 6840 | 0.0631 | 0.7912 | 0.8045 | 0.7978 | 0.9790 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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