---
library_name: transformers
license: apache-2.0
base_model: Kaspar/ecco_modernbert_pretrained
tags:
- generated_from_trainer
model-index:
- name: modernbert_pretrained
  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_pretrained

This model is a fine-tuned version of [Kaspar/ecco_modernbert_pretrained](https://huggingface.co/Kaspar/ecco_modernbert_pretrained) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1759

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2951        | 1.0   | 41122  | 1.2753          |
| 1.2166        | 2.0   | 82244  | 1.2104          |
| 1.1495        | 3.0   | 123366 | 1.1753          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2