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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/distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: distilbert-base-uncased-classifier
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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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# distilbert-base-uncased-classifier
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2565
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- Accuracy: 0.8991
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- F1: 0.8045
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0 | 0 | 0.7631 | 0.2536 | 0.4046 |
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| No log | 0.2020 | 79 | 0.3566 | 0.8559 | 0.6689 |
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| No log | 0.4041 | 158 | 0.3387 | 0.8573 | 0.7506 |
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| No log | 0.6061 | 237 | 0.2934 | 0.8804 | 0.7688 |
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| No log | 0.8082 | 316 | 0.2863 | 0.8890 | 0.7947 |
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| No log | 1.0102 | 395 | 0.2716 | 0.8876 | 0.7869 |
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| No log | 1.2123 | 474 | 0.2799 | 0.8905 | 0.7877 |
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| 0.3458 | 1.4143 | 553 | 0.2581 | 0.8977 | 0.8033 |
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| 0.3458 | 1.6164 | 632 | 0.2539 | 0.8977 | 0.8011 |
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| 0.3458 | 1.8184 | 711 | 0.2565 | 0.8991 | 0.8045 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.7.0+cu126
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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