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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: answerdotai/ModernBERT-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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model-index: |
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- name: modernbert-base-conll2012_ontonotesv5-english_v4-ner |
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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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# modernbert-base-conll2012_ontonotesv5-english_v4-ner |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0679 |
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- Precision: 0.8636 |
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- Recall: 0.8704 |
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- F1: 0.8670 |
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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: 0.0005 |
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| |
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| 0.0698 | 1.0 | 2350 | 0.0795 | 0.8121 | 0.8344 | 0.8231 | |
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| 0.0356 | 2.0 | 4700 | 0.0707 | 0.8438 | 0.8575 | 0.8506 | |
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| 0.0184 | 3.0 | 7050 | 0.0795 | 0.8461 | 0.8567 | 0.8513 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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