Model save
Browse files- README.md +72 -0
- model.safetensors +1 -1
README.md
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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_ontonotes5
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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_ontonotes5
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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: 0.0728
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- Precision: 0.8712
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- Recall: 0.9000
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- F1: 0.8853
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- Accuracy: 0.9811
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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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| 0.0781 | 1.0 | 936 | 0.0754 | 0.8392 | 0.8843 | 0.8612 | 0.9778 |
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| 0.049 | 2.0 | 1873 | 0.0685 | 0.8597 | 0.8935 | 0.8763 | 0.9794 |
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| 0.0357 | 3.0 | 2809 | 0.0714 | 0.8608 | 0.9016 | 0.8807 | 0.9806 |
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| 0.027 | 4.0 | 3744 | 0.0728 | 0.8712 | 0.9000 | 0.8853 | 0.9811 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 496357908
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version https://git-lfs.github.com/spec/v1
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oid sha256:00ed4461aab8f9f0df4b3274abcfb67dbba17fc55eff1e28adad23ec9fb9e7c1
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size 496357908
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