---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_phi4_14b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_phi4_14b

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3601
- Accuracy: 0.9118
- F1: 0.9455
- Precision: 0.8966
- Recall: 1.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.2089        | 1.0   | 46   | 2.4599          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.4159        | 2.0   | 92   | 0.6958          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.2591        | 3.0   | 138  | 1.1380          | 0.7      | 0.8235 | 0.7       | 1.0    |
| 0.1689        | 4.0   | 184  | 0.5389          | 0.8      | 0.875  | 0.7778    | 1.0    |
| 0.0072        | 5.0   | 230  | 0.7038          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0287        | 6.0   | 276  | 1.3252          | 0.8      | 0.875  | 0.7778    | 1.0    |
| 0.0           | 7.0   | 322  | 0.1826          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 8.0   | 368  | 0.2609          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 9.0   | 414  | 0.2552          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 10.0  | 460  | 0.2752          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 11.0  | 506  | 0.2587          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 12.0  | 552  | 0.2601          | 0.9      | 0.9333 | 0.875     | 1.0    |
| 0.0           | 13.0  | 598  | 0.2822          | 0.9      | 0.9333 | 0.875     | 1.0    |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0