metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: justification_classifier_model
results: []
justification_classifier_model
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1738
- Accuracy: 0.5714
- F1: 0.5678
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 35 | 1.3060 | 0.4429 | 0.4122 |
| No log | 2.0 | 70 | 1.1103 | 0.5571 | 0.5329 |
| No log | 3.0 | 105 | 1.1738 | 0.5714 | 0.5678 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cpu
- Datasets 3.1.0
- Tokenizers 0.21.1