| ---
|
| 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
|
|
|
