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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-multilingual-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: classifier-databases-labels
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# classifier-databases-labels
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2850
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- F1 Micro: 0.3761
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- Roc Auc Micro: 0.8351
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- Accuracy (exact Match): 0.1790
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Roc Auc Micro | Accuracy (exact Match) |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|:-------------:|:----------------------:|
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| 0.3072 | 1.0 | 32380 | 0.2860 | 0.2210 | 0.8192 | 0.1126 |
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| 0.2752 | 2.0 | 64760 | 0.2797 | 0.2845 | 0.8311 | 0.1378 |
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| 0.2649 | 3.0 | 97140 | 0.2799 | 0.3545 | 0.8355 | 0.1741 |
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| 0.2519 | 4.0 | 129520 | 0.2850 | 0.3761 | 0.8351 | 0.1790 |
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### Framework versions
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- Transformers 4.50.0
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- Pytorch 2.6.0+cu126
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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