README.md

---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: assignment4_ModernBertBase_distilled_clinc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# assignment4_ModernBertBase_distilled_clinc

This model is a fine-tuned version of [answerdotai/ModernBert-base](https://huggingface.co/answerdotai/ModernBert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2197
- Accuracy: 0.9442

## 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: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- 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: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 318  | 0.4283          | 0.8984   |
| 1.1736        | 2.0   | 636  | 0.2833          | 0.9319   |
| 1.1736        | 3.0   | 954  | 0.2288          | 0.9445   |
| 0.048         | 4.0   | 1272 | 0.2198          | 0.9435   |
| 0.0048        | 5.0   | 1590 | 0.2197          | 0.9442   |


### Framework versions

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