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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-large |
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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: ModernBERT-large-zeroshot-v2.0-2024-12-28-00-13 |
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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-zeroshot-v2.0-2024-12-28-00-13 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co./answerdotai/ModernBERT-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1803 |
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- F1 Macro: 0.6624 |
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- F1 Micro: 0.7304 |
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- Accuracy Balanced: 0.6979 |
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- Accuracy: 0.7304 |
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- Precision Macro: 0.6899 |
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- Recall Macro: 0.6979 |
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- Precision Micro: 0.7304 |
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- Recall Micro: 0.7304 |
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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: 9e-06 |
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- train_batch_size: 16 |
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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: 32 |
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- optimizer: Use adamw_torch 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: 0.06 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:| |
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| 0.3865 | 1.0 | 33915 | 0.3321 | 0.8584 | 0.8704 | 0.8600 | 0.8704 | 0.8569 | 0.8600 | 0.8704 | 0.8704 | |
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| 0.2456 | 2.0000 | 67828 | 0.4069 | 0.8600 | 0.8728 | 0.8590 | 0.8728 | 0.8610 | 0.8590 | 0.8728 | 0.8728 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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