---
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
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# 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: 0.4925
- Accuracy: 0.8698

## 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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 3
- 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
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.3307        | 0.2757 | 50   | 0.8133          | 0.5547   |
| 2.4211        | 0.5515 | 100  | 0.6010          | 0.6615   |
| 1.9701        | 0.8272 | 150  | 0.5964          | 0.6901   |
| 0.2215        | 1.0993 | 200  | 0.6405          | 0.7109   |
| 0.1582        | 1.375  | 250  | 0.4628          | 0.7995   |
| 0.1519        | 1.6507 | 300  | 0.4207          | 0.7995   |
| 0.8939        | 1.9265 | 350  | 0.4925          | 0.8698   |


### Framework versions

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