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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: 0.7424 |
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- Accuracy: 0.5687 |
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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: 2 |
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- total_train_batch_size: 12 |
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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: 550 |
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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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| 1.327 | 0.1497 | 50 | 0.6950 | 0.5640 | |
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| 1.5088 | 0.2994 | 100 | 0.6833 | 0.5687 | |
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| 1.2018 | 0.4491 | 150 | 0.6867 | 0.5687 | |
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| 1.3053 | 0.5988 | 200 | 0.6923 | 0.5687 | |
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| 1.2024 | 0.7485 | 250 | 0.6879 | 0.5687 | |
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| 1.774 | 0.8982 | 300 | 0.7197 | 0.4313 | |
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| 1.4274 | 1.0479 | 350 | 0.6862 | 0.5687 | |
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| 1.199 | 1.1976 | 400 | 0.6995 | 0.5687 | |
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| 1.4548 | 1.3473 | 450 | 0.7085 | 0.4313 | |
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| 1.581 | 1.4970 | 500 | 0.6845 | 0.5687 | |
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| 1.8775 | 1.6467 | 550 | 0.7424 | 0.5687 | |
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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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