---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lemone-router
  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. -->

# lemone-router

This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4096
- Accuracy: 0.9265

## 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: 4.099463734610582e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5371        | 1.0   | 2809  | 0.4147          | 0.8680   |
| 0.3154        | 2.0   | 5618  | 0.3470          | 0.8914   |
| 0.2241        | 3.0   | 8427  | 0.3345          | 0.9147   |
| 0.1273        | 4.0   | 11236 | 0.3788          | 0.9187   |
| 0.0525        | 5.0   | 14045 | 0.4096          | 0.9265   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1