---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ModernBERT_large_Assign_4
  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_large_Assign_4

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1879
- Accuracy: 0.9668
- F1: 0.9664

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 8

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.9447        | 0.8386 | 400  | 0.2952          | 0.9387   | 0.9358 |
| 0.0999        | 1.6771 | 800  | 0.2098          | 0.9513   | 0.9506 |
| 0.0582        | 2.5157 | 1200 | 0.2062          | 0.9574   | 0.9570 |
| 0.0185        | 3.3543 | 1600 | 0.1982          | 0.9635   | 0.9629 |
| 0.011         | 4.1929 | 2000 | 0.2009          | 0.9639   | 0.9632 |
| 0.0044        | 5.0314 | 2400 | 0.1852          | 0.9671   | 0.9668 |
| 0.0022        | 5.8700 | 2800 | 0.1915          | 0.9665   | 0.9661 |
| 0.0009        | 6.7086 | 3200 | 0.1878          | 0.9665   | 0.9661 |
| 0.0002        | 7.5472 | 3600 | 0.1879          | 0.9668   | 0.9664 |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1