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---
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
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