| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: 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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| model-index:
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| - name: working
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| results: []
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| ---
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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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|
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| # working
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| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.0002
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| - Accuracy: 1.0
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|
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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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|
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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: 16
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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 | Accuracy |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|
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| | No log | 1.0 | 80 | 0.0041 | 1.0 |
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| | No log | 2.0 | 160 | 0.0012 | 1.0 |
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| | No log | 3.0 | 240 | 0.0007 | 1.0 |
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| | No log | 4.0 | 320 | 0.0004 | 1.0 |
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| | No log | 5.0 | 400 | 0.0003 | 1.0 |
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| | No log | 6.0 | 480 | 0.0002 | 1.0 |
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| | 0.0303 | 7.0 | 560 | 0.0002 | 1.0 |
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| | 0.0303 | 8.0 | 640 | 0.0002 | 1.0 |
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| | 0.0303 | 9.0 | 720 | 0.0002 | 1.0 |
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| | 0.0303 | 10.0 | 800 | 0.0002 | 1.0 |
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| ### Framework versions
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| - Transformers 4.47.1
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| - Pytorch 2.5.1+cu124
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| - Datasets 3.2.0
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| - Tokenizers 0.21.0
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