---
library_name: transformers
license: apache-2.0
base_model: Alibaba-NLP/gte-multilingual-reranker-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ModernBERT-Letter
  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-Letter

This model is a fine-tuned version of [Alibaba-NLP/gte-multilingual-reranker-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-reranker-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0038
- Accuracy: 1.0
- F1: 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: 3e-06
- train_batch_size: 16
- eval_batch_size: 64
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 161  | 0.4207          | 0.9580   | 0.9554 |
| No log        | 2.0   | 322  | 0.0516          | 0.9965   | 0.9964 |
| No log        | 3.0   | 483  | 0.0187          | 1.0      | 1.0    |
| 0.391         | 4.0   | 644  | 0.0104          | 1.0      | 1.0    |
| 0.391         | 5.0   | 805  | 0.0072          | 1.0      | 1.0    |
| 0.391         | 6.0   | 966  | 0.0056          | 1.0      | 1.0    |
| 0.0145        | 7.0   | 1127 | 0.0047          | 1.0      | 1.0    |
| 0.0145        | 8.0   | 1288 | 0.0042          | 1.0      | 1.0    |
| 0.0145        | 9.0   | 1449 | 0.0039          | 1.0      | 1.0    |
| 0.0079        | 10.0  | 1610 | 0.0038          | 1.0      | 1.0    |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0