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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: MoritzLaurer/ModernBERT-large-zeroshot-v2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: ModernBERT-hf-posts-classifier |
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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-hf-posts-classifier |
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This model is a fine-tuned version of [MoritzLaurer/ModernBERT-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1848 |
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- F1: 0.2079 |
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- Accuracy: 0.1569 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use 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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:--------:| |
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| No log | 1.0 | 15 | 0.2568 | 0.0560 | 0.0196 | |
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| No log | 2.0 | 30 | 0.2353 | 0.0665 | 0.0784 | |
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| No log | 3.0 | 45 | 0.2007 | 0.1981 | 0.0980 | |
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| No log | 4.0 | 60 | 0.1878 | 0.2129 | 0.0980 | |
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| No log | 4.7018 | 70 | 0.1848 | 0.2079 | 0.1569 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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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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