End of training
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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: bert-base-cased
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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: AMANDA
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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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# AMANDA
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1038
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- Accuracy: 0.535
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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: 16
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- eval_batch_size: 16
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.4019 | 0.1 | 5 | 1.6483 | 0.2325 |
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| 1.6313 | 0.2 | 10 | 1.5832 | 0.2725 |
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| 1.6173 | 0.3 | 15 | 1.5735 | 0.2675 |
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| 1.5995 | 0.4 | 20 | 1.5052 | 0.3262 |
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| 1.5813 | 0.5 | 25 | 1.5326 | 0.3162 |
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| 1.424 | 0.6 | 30 | 1.5407 | 0.2988 |
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| 1.4952 | 0.7 | 35 | 1.5319 | 0.2975 |
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| 1.5068 | 0.8 | 40 | 1.4702 | 0.34 |
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| 1.4513 | 0.9 | 45 | 1.3828 | 0.4275 |
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| 1.2967 | 1.0 | 50 | 1.3537 | 0.5 |
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| 1.2603 | 1.1 | 55 | 1.2783 | 0.47 |
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| 1.1391 | 1.2 | 60 | 1.2316 | 0.4688 |
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| 1.1007 | 1.3 | 65 | 1.2129 | 0.4688 |
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| 1.1748 | 1.4 | 70 | 1.1682 | 0.4875 |
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| 1.1319 | 1.5 | 75 | 1.1496 | 0.5088 |
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| 1.0371 | 1.6 | 80 | 1.1145 | 0.5475 |
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| 1.1062 | 1.7 | 85 | 1.0948 | 0.55 |
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| 1.0489 | 1.8 | 90 | 1.1009 | 0.5387 |
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| 0.9534 | 1.9 | 95 | 1.1073 | 0.535 |
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| 1.1567 | 2.0 | 100 | 1.1038 | 0.535 |
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### Framework versions
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- Transformers 4.57.1
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- Pytorch 2.8.0+cu126
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- Datasets 4.4.1
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- Tokenizers 0.22.1
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