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

This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4734
- Accuracy: 0.9191

## 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: 2.6763799752474963e-05
- train_batch_size: 4
- eval_batch_size: 64
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6402        | 1.0   | 11233 | 0.6569          | 0.8630   |
| 0.5031        | 2.0   | 22466 | 0.5058          | 0.9025   |
| 0.2196        | 3.0   | 33699 | 0.4734          | 0.9191   |


### Framework versions

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