---
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: 0.7424
- Accuracy: 0.5687

## 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: 6.000000000000001e-05
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.327         | 0.1497 | 50   | 0.6950          | 0.5640   |
| 1.5088        | 0.2994 | 100  | 0.6833          | 0.5687   |
| 1.2018        | 0.4491 | 150  | 0.6867          | 0.5687   |
| 1.3053        | 0.5988 | 200  | 0.6923          | 0.5687   |
| 1.2024        | 0.7485 | 250  | 0.6879          | 0.5687   |
| 1.774         | 0.8982 | 300  | 0.7197          | 0.4313   |
| 1.4274        | 1.0479 | 350  | 0.6862          | 0.5687   |
| 1.199         | 1.1976 | 400  | 0.6995          | 0.5687   |
| 1.4548        | 1.3473 | 450  | 0.7085          | 0.4313   |
| 1.581         | 1.4970 | 500  | 0.6845          | 0.5687   |
| 1.8775        | 1.6467 | 550  | 0.7424          | 0.5687   |


### Framework versions

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