---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: fluency-scorer
  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. -->

# fluency-scorer

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: 0.3830
- F1: 0.8183
- Accuracy: 0.8212
- Precision: 0.8171
- Recall: 0.8212

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
| No log        | 0     | 0     | 0.7214          | 0.5368 | 0.5168   | 0.6201    | 0.5168 |
| 0.5801        | 1.0   | 6158  | 0.4019          | 0.8069 | 0.8092   | 0.8056    | 0.8092 |
| 0.4354        | 2.0   | 12316 | 0.3835          | 0.8176 | 0.8212   | 0.8165    | 0.8212 |
| 0.4089        | 3.0   | 18474 | 0.3830          | 0.8183 | 0.8212   | 0.8171    | 0.8212 |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.21.0