---
license: apache-2.0
base_model: sentence-transformers/distiluse-base-multilingual-cased-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: dist-multi
  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. -->

# dist-multi

This model is a fine-tuned version of [sentence-transformers/distiluse-base-multilingual-cased-v1](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7490
- Accuracy: 0.75
- F1: 0.7607

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5809        | 1.0   | 53   | 0.8387          | 0.7429   | 0.7459 |
| 0.561         | 2.0   | 106  | 0.8021          | 0.75     | 0.7570 |
| 0.4435        | 3.0   | 159  | 0.7750          | 0.7643   | 0.7710 |
| 0.3245        | 4.0   | 212  | 0.7490          | 0.75     | 0.7607 |
| 0.368         | 5.0   | 265  | 0.8127          | 0.75     | 0.7548 |
| 0.1861        | 6.0   | 318  | 0.8736          | 0.7429   | 0.7514 |
| 0.2235        | 7.0   | 371  | 0.9631          | 0.7429   | 0.7502 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1