---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# justification_classifier_model

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/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