---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: modernbert_agree_classifier
  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. -->

# modernbert_agree_classifier

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2279
- Accuracy: 0.7059

## 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: 0.00016
- train_batch_size: 6
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- 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: constant
- training_steps: 550

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.1915        | 0.2762 | 50   | 1.1417          | 0.2588   |
| 1.3494        | 0.5525 | 100  | 0.6381          | 0.7412   |
| 1.3588        | 0.8287 | 150  | 0.6750          | 0.5922   |
| 1.0859        | 1.1050 | 200  | 0.8046          | 0.7373   |
| 1.5857        | 1.3812 | 250  | 0.6222          | 0.6667   |
| 0.5529        | 1.6575 | 300  | 1.0381          | 0.4471   |
| 1.2417        | 1.9337 | 350  | 0.9943          | 0.6980   |
| 0.0183        | 2.2099 | 400  | 2.7391          | 0.6941   |
| 0.0112        | 2.4862 | 450  | 2.3648          | 0.6706   |
| 0.0004        | 2.7624 | 500  | 2.3759          | 0.6667   |
| 0.0007        | 3.0387 | 550  | 3.2279          | 0.7059   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1