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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: PracticalWork/ModernBERT-large-classifier |
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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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- f1 |
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model-index: |
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- name: ModernBERT-large-classifier-classifier-prompted |
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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-large-classifier-classifier-prompted |
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This model is a fine-tuned version of [PracticalWork/ModernBERT-large-classifier](https://huggingface.co/PracticalWork/ModernBERT-large-classifier) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4295 |
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- Accuracy: 0.9054 |
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- F1: 0.9015 |
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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: 2e-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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 0 | 0 | 1.9514 | 0.6935 | 0.5679 | |
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| No log | 0.6 | 255 | 0.2441 | 0.9037 | 0.8982 | |
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| 0.2289 | 1.2 | 510 | 0.3278 | 0.9019 | 0.8994 | |
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| 0.2289 | 1.8 | 765 | 0.3406 | 0.9037 | 0.9018 | |
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| 0.0899 | 2.4 | 1020 | 0.4322 | 0.9019 | 0.8973 | |
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| 0.0899 | 3.0 | 1275 | 0.4295 | 0.9054 | 0.9015 | |
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### Framework versions |
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- Transformers 4.57.0 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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