---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: multilingual-e5-base-ling-cls
  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. -->

# multilingual-e5-base-ling-cls

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: 0.9649
- Accuracy: 0.7679

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.527         | 1.0   | 1009 | 0.5061          | 0.7848   |
| 0.4486        | 2.0   | 2018 | 0.5401          | 0.7879   |
| 0.3367        | 3.0   | 3027 | 0.6304          | 0.7783   |
| 0.2428        | 4.0   | 4036 | 0.7793          | 0.7705   |
| 0.1649        | 5.0   | 5045 | 0.9649          | 0.7679   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.6