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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_agree_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_agree_classifier |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7135 |
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- Accuracy: 0.6114 |
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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: 6.000000000000001e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 60 |
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- optimizer: Use OptimizerNames.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: constant |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 6.6012 | 0.2994 | 20 | 0.6613 | 0.6114 | |
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| 5.841 | 0.5988 | 40 | 0.7060 | 0.6114 | |
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| 7.3284 | 0.8982 | 60 | 0.6671 | 0.6114 | |
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| 6.9088 | 1.2096 | 80 | 0.6861 | 0.4834 | |
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| 7.1679 | 1.5090 | 100 | 0.7135 | 0.6114 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
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