---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- accuracy
model-index:
- name: ModernFinBERT
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: financial_phrasebank
      type: financial_phrasebank
      config: sentences_50agree
      split: train
      args: sentences_50agree
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8670103092783505
---

<!-- 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. -->

# ModernFinBERT

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6635
- Accuracy: 0.8670

## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5348        | 1.0   | 122  | 0.4122          | 0.8278   |
| 0.2684        | 2.0   | 244  | 0.3491          | 0.8546   |
| 0.1303        | 3.0   | 366  | 0.4818          | 0.8536   |
| 0.0569        | 4.0   | 488  | 0.6635          | 0.8670   |
| 0.0298        | 5.0   | 610  | 0.7434          | 0.8629   |
| 0.0166        | 6.0   | 732  | 0.7884          | 0.8660   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0