| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: answerdotai/ModernBERT-base
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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: valueeval24-bert-phase1-initialfreeze
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| results: []
|
| ---
|
|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| should probably proofread and complete it, then remove this comment. -->
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|
|
| # valueeval24-bert-phase1-initialfreeze
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|
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| This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1085
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| - F1: 0.1171
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| - Roc Auc: 0.5320
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| - Accuracy: 0.0580
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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|
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| More information needed
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|
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| ## Training procedure
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|
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 0.00025
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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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| - 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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| - num_epochs: 2
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| | 0.1192 | 1.0 | 2883 | 0.1084 | 0.0885 | 0.5234 | 0.0445 |
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| | 0.0927 | 2.0 | 5766 | 0.1085 | 0.1171 | 0.5320 | 0.0580 |
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| ### Framework versions
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| - Transformers 4.53.0
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| - Pytorch 2.5.1+cu121
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| - Datasets 3.6.0
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| - Tokenizers 0.21.2
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|
