End of training
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README.md
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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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- accuracy
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model-index:
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- name: classifier-modernbert
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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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# classifier-modernbert
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2585
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- Accuracy: 0.9246
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- F1 Macro: 0.9245
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- F1 Weighted: 0.9245
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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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- 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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
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| No log | 1.0 | 313 | 0.2453 | 0.9175 | 0.9174 | 0.9174 |
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| 0.2597 | 2.0 | 626 | 0.2585 | 0.9246 | 0.9245 | 0.9245 |
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### Framework versions
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- Transformers 4.56.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.0
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runs/Sep22_16-38-44_655aea409a35/events.out.tfevents.1758559241.655aea409a35.1421.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7201
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