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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-32-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-32-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: 0.1580
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- F1 Micro: 0.3941
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- Roc Auc Micro: 0.9067
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- Accuracy (exact Match): 0.2046
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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: 10
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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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| 0.141 | 1.0 | 29687 | 0.1425 | 0.1469 | 0.9030 | 0.0642 |
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| 0.1267 | 2.0 | 59374 | 0.1392 | 0.2438 | 0.9082 | 0.1090 |
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| 0.1343 | 3.0 | 89061 | 0.1369 | 0.2726 | 0.9120 | 0.1355 |
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| 0.1227 | 4.0 | 118748 | 0.1375 | 0.3236 | 0.9132 | 0.1594 |
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| 0.1195 | 5.0 | 148435 | 0.1374 | 0.3340 | 0.9137 | 0.1685 |
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| 0.1197 | 6.0 | 178122 | 0.1433 | 0.3607 | 0.9116 | 0.1857 |
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| 0.1156 | 7.0 | 207809 | 0.1422 | 0.3693 | 0.9118 | 0.1899 |
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| 0.1083 | 8.0 | 237496 | 0.1478 | 0.3818 | 0.9096 | 0.1947 |
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| 0.0799 | 9.0 | 267183 | 0.1543 | 0.3894 | 0.9081 | 0.2005 |
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| 0.0973 | 10.0 | 296870 | 0.1580 | 0.3941 | 0.9067 | 0.2046 |
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### Framework versions
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- Transformers 4.50.2
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- Pytorch 2.6.0
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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