---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: assignment4_ModernBertLarge_clinc
  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. -->

# assignment4_ModernBertLarge_clinc

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: 0.1646
- Accuracy: 0.9723
- F1: 0.9720

## 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: 3e-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: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 1.9174        | 0.4193 | 200  | 0.3720          | 0.9081   | 0.9075 |
| 0.2511        | 0.8386 | 400  | 0.2528          | 0.9484   | 0.9481 |
| 0.1067        | 1.2579 | 600  | 0.2138          | 0.9539   | 0.9532 |
| 0.0554        | 1.6771 | 800  | 0.1951          | 0.9581   | 0.9573 |
| 0.0488        | 2.0964 | 1000 | 0.1656          | 0.9694   | 0.9689 |
| 0.0163        | 2.5157 | 1200 | 0.1596          | 0.9726   | 0.9722 |
| 0.01          | 2.9350 | 1400 | 0.1666          | 0.9742   | 0.9739 |
| 0.0035        | 3.3543 | 1600 | 0.1614          | 0.9739   | 0.9736 |
| 0.0013        | 3.7736 | 1800 | 0.1646          | 0.9723   | 0.9720 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1