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_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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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 496253316
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dfd5df642dd5d5f10bc261765bd2491be6cc7422b713371f526208ab03c6fbb
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size 496253316
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