| ---
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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: model
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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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|
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| # model
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| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.8202
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| - Accuracy: 0.6334
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| - Macro F1: 0.6289
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| ## Model description
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| More information needed
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|
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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: 5e-05
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| - train_batch_size: 8
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| - eval_batch_size: 8
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| - seed: 42
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| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Macro F1 |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| | 0.8412 | 1.0 | 748 | 0.8300 | 0.6027 | 0.6070 |
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| | 0.6247 | 2.0 | 1496 | 0.8202 | 0.6334 | 0.6289 |
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| ### Framework versions
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| - Transformers 4.57.6
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| - Pytorch 2.11.0+cpu
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| - Datasets 2.21.0
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| - Tokenizers 0.22.2
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| |
