---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: classifier-databases-labels
  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. -->

# classifier-databases-labels

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2850
- F1 Micro: 0.3761
- Roc Auc Micro: 0.8351
- Accuracy (exact Match): 0.1790

## 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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step   | Validation Loss | F1 Micro | Roc Auc Micro | Accuracy (exact Match) |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:-------------:|:----------------------:|
| 0.3072        | 1.0   | 32380  | 0.2860          | 0.2210   | 0.8192        | 0.1126                 |
| 0.2752        | 2.0   | 64760  | 0.2797          | 0.2845   | 0.8311        | 0.1378                 |
| 0.2649        | 3.0   | 97140  | 0.2799          | 0.3545   | 0.8355        | 0.1741                 |
| 0.2519        | 4.0   | 129520 | 0.2850          | 0.3761   | 0.8351        | 0.1790                 |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu126
- Datasets 3.4.1
- Tokenizers 0.21.1